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Identifying Observation Stays in Medicare Data: Policy Implications of a Definition
Medicare observation stays are increasingly common. From 2006 to 2012, Medicare observation stays increased by 88%,1 whereas inpatient discharges decreased by 13.9%.2 In 2012, 1.7 million Medicare observation stays were recorded, and an additional 700,000 inpatient stays were preceded by observation services; the latter represented a 96% increase in status change since 2006.1 Yet no standard research methodology for identifying observation stays exists, including methods to identify and properly characterize “status change” events, which are hospital stays where initial and final inpatient or outpatient (observation) statuses differ.
With the increasing number of hospitalized patients classified as observation, a standard methodology for Medicare claims research is needed so that observation stays can be consistently identified and potentially included in future quality measures and outcomes. Existing research studies and government reports use widely varying criteria to identify observation stays, often lack detailed methods on observation stay case finding, and contain limited information on how status changes between inpatient and outpatient (observation) statuses are incorporated. This variability in approach may lead to omission and/or miscategorization of events and raises concern about the comparability of prior work.
This study aimed to determine the claims patterns of Medicare observation stays, define comprehensive claims-based methodology for future Medicare observation research and data reporting, and identify policy implications of such definition. We are poised to do this work because of our access to the nationally generalizable Centers for Medicare & Medicaid Services (CMS) linked Part A inpatient and outpatient data sets for 2013 and 2014, as well as our prior expertise in hospital observation research and Medicare claims studies.
METHODS
General Methods and Data Source
A 2014 national 20% random sample Part A and B Medicare data set was used. In accordance with the Centers for Medicare & Medicaid (CMS) data use agreement, all included beneficiaries had at least 1 acute care inpatient hospitalization. Included beneficiaries were enrolled for 12 months prior to their first 2014 inpatient stay. Those with Medicare Advantage or railroad benefits were excluded because of incomplete data per prior methods.3 The University of Wisconsin Institutional Review Board approved this study.
Comparison of Methods
The PubMED query “Medicare AND (observation OR observation unit),” limited to English and publication between January 1, 2010 and October 1, 2017, was conducted to determine the universe of prior observation stay definitions used in research for comparison (Appendix).4-20 The Office of Inspector General report,21 the Research Data Assistance Center (ResDAC),22 and Medicare Claims Processing Manual (MCPM)23 were also included. Methods stated in each publication were used to extrapolate observation stay case finding to the study data set.
Observation Stay Case Finding
Inpatient and outpatient revenue centers were queried for observation revenue center (ORC) codes identified by ResDAC,22 including 0760 (Treatment or observation room - general classification), 0761 (Treatment or observation room - treatment room), 0762 (Treatment or observation room – observation room), and 0769 (Treatment or observation room – other) occurring within 30 days of an inpatient stay. Healthcare Common Procedure Coding System (HCPCS) codes G0378 (Hospital observation service, per hour) and G0379 (Direct referral of patient for hospital observation care) were included per MCPM.23 A combination of these ORC and HCPCS codes was also used to identify observation stays in every Medicare claims observation study since 2010. When more than one ORC code per event was found, each ORC was recorded as part of that event. Presence of HCPCS G0378 and/or G0379 was determined for each event in association with event ORC(s), as was association of ORC codes with inpatient claims. In this manuscript, “observation stay” refers to an observation hospital stay, and “event” refers to a hospitalization that may include inpatient and/or outpatient (observation) services and ORC codes.
Status Change
All ORC codes found in the inpatient revenue center were assumed to represent status changes from outpatient (observation) to inpatient, as ORC codes may remain in claims data when the status changes to inpatient.24 Therefore, all events with ORC codes in the inpatient revenue center were considered inpatient hospitalizations.
For each ORC code found in the outpatient revenue center and also associated with an inpatient claim, timing of the ORC code in the inpatient claim was grouped into four categories to determine events with the final status of outpatient (observation stay). ResDAC defines the “From” date as “…the first day on the billing statement covering services rendered to the beneficiary.”24 For most hospitals, this is a three-day period prior to an inpatient admission where outpatient services are included in the Part A claim.25 We defined Category 1 as ORC codes occurring prior to claim “From” date; Category 2 as ORC codes on the inpatient “From” date, between the inpatient “From” date and admission date, or on the admission date; Category 3 as ORC codes between admission and discharge dates; and Category 4 as ORC codes occurring on or after the discharge date. Given that Category 4 represents the final hospitalization status, we considered Category 4 ORC codes in the outpatient revenue center associated with inpatient claims to be observation stays that had undergone a status change from inpatient to outpatient (observation).
University of Wisconsin Method
After excluding ORC codes in the inpatient revenue center as true inpatient hospitalizations, we defined an observation stay as 0760 and/or 0761 and/or 0762 and/or 0769 in the outpatient revenue center and having no association with an inpatient claim. To address a status change from inpatient to outpatient (observation), for those ORC codes in the outpatient revenue center also associated with an inpatient claim, claims with ORC codes in Category 4 were also considered observation stays.
RESULTS
Of 1,667,660 hospital events, 125,920 (7.6%) had an ORC code within 30 days of an inpatient hospitalization, of which 50,418 (3.0%) were found in the inpatient revenue center and 75,502 (4.5%) were from the outpatient revenue center. A total of 59,529 (47.3%) ORC codes occurred with an inpatient claim (50,418 in the inpatient revenue center and 9,111 in the outpatient revenue center), 5,628 (4.5%) had more than one ORC code on a single hospitalization, and more than 90% of codes were 0761 or 0762. These results illustrated variability in claims submissions as measured by the claims themselves and demonstrated a high rate of status changes (Table).
Observation stay definitions varied in the literature, with different methods capturing variable numbers of observation stays (Figure, Appendix). No methods clearly identified how to categorize events with status changes, directly addressed ORC codes in the inpatient revenue center, or discussed events with more than one ORC code. As such, some assumptions were made to extrapolate observation stay case findings as detailed in the Figure (see also Appendix). Notably, reference 4 methods were obtained via personal communication with the manuscript’s first author. The University of Wisconsin definition offers a comprehensive definition that classifies status change events, yielding 72,858 of 75,502 (96.5%) potential observation events as observation stays (Figure). These observation stays include 66,391 stays with ORC codes in the outpatient revenue center without status change or relation to inpatient claim, and 6467 (71.0%) of 9111 events with ORC codes in the outpatient revenue center were associated with an inpatient claim where ORC code(s) is located in Category 4.
CONCLUSIONS
This study confirmed the importance of a standard observation stay case finding methodology. Variability in prior methodology resulted in studies that may have included less than half of potential observation stays. In addition, most studies did not include, or were unclear, on how to address the increasing number of status changes. Others may have erroneously included hospitalizations that were ultimately billed as inpatient, and some publications lacked sufficient detailed methodology to extrapolate results with absolute certainty, a limitation of our comparative results. Although excluding some ORC codes in the outpatient revenue center associated with inpatient claims may possibly miss some observation stays, or including certain ORC codes, such as 0761 (treatment or observation room - treatment room), may erroneously include a different type of observation stay, the proposed University of Wisconsin method could be used as a comprehensive and reproducible method for observation stay case finding, including encounters with status change.
This study has other important policy implications. More than 90% of ORC codes were either 0761 or 0762, and in almost one in 20 claims, two or more distinct codes were identified. Given the lack of clinical relevance of terms “treatment” or “observation” room, and the frequency of more than 1 ORC code per claim, CMS may consider simplification to a single ORC code. Studies of observation encounter length of stay by hour may require G0378 in addition to an ORC code to define an observation stay, but doing so eliminates nearly half of observation claims. Additionally, G0379 adds minimal value to G0378 in case finding.
Finally, this study illustrates overall confusion with outpatient (observation) and inpatient status designations, with almost half (47.3%) of all hospitalizations with ORC codes also associated with an inpatient claim, demonstrating a high status change rate. More than 40% of all nurse case manager job postings are now for status determination work, shifting duties from patient care and quality improvement.26 We previously demonstrated a need for 5.1 FTE combined physician, attorney, and other personnel to manage the status, audit, and appeals process per institution.27 The frequency of status changes and personnel needed to maintain a two-tiered billing system argues for a single hospital status.
In summary, our study highlights the need for federal observation policy reform. We propose a standardized and reproducible approach for Medicare observation claims research, including status changes that can be used for further studies of observation stays.
Acknowledgments
The authors thank Jinn-ing Liou for analyst support, Jen Birstler for figure creation, and Carol Hermann for technical support. This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (Dr. Kind).
Disclosures
The authors have no relevant conflicts of interest to disclose.Funding: This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (
1. MedPAC Report to Congress. June 2015, Chapter 7. Hospital short-stay policy issues. http://medpac.gov/docs/default-source/reports/june-2015-report-to-the-congress-medicare-and-the-health-care-delivery-system.pdf?sfvrsn=0. Accessed December 21, 2017.
2. MedPAC Report to Congress. March 2017, Chapter 3. Hospital inpatient and outpatient services. http://medpac.gov/docs/default-source/reports/mar17_entirereport224610adfa9c665e80adff00009edf9c.pdf?sfvrsn=0. Accessed December 21, 2017.
3. Kind A, Jencks S, Crock J, et al. Neighborhood socioecomonic disadvantage and 30-day reshospitalization: a retrospective cohort study. Ann Intern Med. 2014;161(11):765-774. doi: 10.7326/M13-2946. PubMed
4. Zuckerman R, Sheingold S, Orav E, Ruhter J, Epstein A. Readmissions, observation, and the Hospital Readmissions Reduction Program. NEJM. 2016;374(16):1543-1551. doi: 10.1056/NEJMsa1513024. PubMed
5. Hockenberry J, Mutter R, Barrett M, Parlato J, Ross M. Factors associated with prolonged observation services stays and the impact of long stays on patient cost. Health Serv Res. 2014;49(3):893-909. 10.1111/1475-6773.12143. PubMed
6. Goldstein J, Zhang Z, Schwartz S, Hicks L. Observation status, poverty, and high financial liability among Medicare beneficiaries. Am J Med. 2017;131(1):e9-101.e15. doi: 10.1016/j.amjmed.2017.07.013. PubMed
7. Feng Z, Wright B, Mor V. Sharp rise in Medicare enrollees being held in hospitals for observation raises concerns about causes and consequences. Health Aff. 2012;31(6):1251-1259. doi: 10.1377/hlthaff.2012.0129. PubMed
8. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care. 2014;52(9):796-800. doi: 10.1097/MLR.0000000000000179 PubMed
9. Wright B, Jung H-Y, Feng Z, Mor V. Hospital, patient, and local health system characteristics associated with the prevalence and duration of observation care. HSR. 2014;49(4):1088-1107. doi: 10.1111/1475-6773.12166. PubMed
10. Overman R, Freburger J, Assimon M, Li X, Brookhart MA. Observation stays in administrative claims databases: underestimation of hospitalized cases. Pharmacoepidemiol Drug Saf. 2014;23(9):902-910. doi: 10.1002/pds.3647. PubMed
11. Vashi A, Cafardi S, Powers C, Ross J, Shrank W. Observation encounters and subsequent nursing facility stays. Am J Manag Care. 2015;21(4):e276-e281. PubMed
12. Venkatesh A, Wang C, Ross J, et al. Hospital use of observation stays: cross-sectional study of the impact on readmission rates. Med Care. 2016;54(12):1070-1077. doi: 10.1097/MLR.0000000000000601 PubMed
13. Gerhardt G, Yemane A, Apostle K, Oelschlaeger A, Rollins E, Brennan N. Evaluating whether changes in utilization of hospital outpatient services contributed to lower Medicare readmission rate. MMRR. 2014;4(1):E1-E13. doi: 10.5600/mmrr2014-004-01-b03 PubMed
14. Lipitz-Snyderman A, Klotz A, Gennarelli R, Groeger J. A population-based assessment of emergency department observation status for older adults with cancer. J Natl Compr Canc Netw. 2017;15(10):1234-1239. doi: 10.6004/jnccn.2017.0160. PubMed
15. Kangovi S, Cafardi S, Smith R, Kulkarni R, Grande D. Patient financial responsibility for observation care. J Hosp Med. 2015;10:718-723. doi: 10.1002/jhm.2436. PubMed
16. Dharmarajan K, Qin L, Bierlein M, et al. Outcomes after observation stays among older adult Medicare beneficiaries in the USA: retrospective cohort study. BMJ. 2017;357:j2616. doi: 10.1136/bmj.j2616 PubMed
17. Baier R, Gardner R, Coleman E, Jencks S, Mor V, Gravenstein S. Shifting the dialogue from hospital readmissions to unplanned care. Am J Manag Care. 2013;19(6):450-453. PubMed
18. Cafardi S, Pines J, Deb P, Powers C, Shrank W. Increased observation services in Medicare beneficiaries with chest pain. Am J Emergency Med. 2016;34(1):16-19. doi: 10.1016/j.ajem.2015.08.049. PubMed
19. Nuckols T, Fingar K, Barrett M, Steiner C, Stocks C, Owens P. The shifting landscape in utilization of inpatient, observation, and emergency department services across payors. J Hosp Med. 2017;12(6):443-446. doi: 10.12788/jhm.2751. PubMed
20. Wright B, Jung H-Y, Feng Z, Mor V. Trends in observation care among Medicare fee-for-service beneficiaries at critical access hospitals, 2007-2009. J Rural Health. 2013;29(1):s1-s6. doi: 10.1111/jrh.12007 PubMed
21. Office of Inspector General. Vulnerabilites remain under Medicare’s 2-Midnight hospital policy. 12-9-2016. https://oig.hhs.gov/oei/reports/oei-02-15-00020.asp. Accessed December 27, 2017. PubMed
22. Research Data Assistance Center (ResDAC). Revenue center table. https://www.resdac.org/sites/resdac.umn.edu/files/Revenue%20Center%20Table.txt. Accessed December 26, 2017.
23. Medicare Claims Processing Manual, Chapter 4, Section 290, Outpatient Observation Services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/clm104c04.pdf. Accessed December 26, 2017.
24. Research Data Assistance Center (ResDAC). Identifying observation stays for those beneficiaries admitted to the hospital. https://www.resdac.org/resconnect/articles/172. Accessed December 27, 2017.
25. Medicare Claims Processing Manual, Chapter 3, Section 40.B. Outpatient services treated as inpatient services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf. Accessed December 26, 2017.
26. Reynolds J. Another look at roles and functions: has hospital case management lost its way? Prof Case Manag. 2013;18(5):246-254. doi: 10.1097/NCM.0b013e31829c8aa8. PubMed
27. Sheehy A, Locke C, Engel J, et al. Recovery audit contractor audit and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. doi: 10.1002/jhm.2332. PubMed
Medicare observation stays are increasingly common. From 2006 to 2012, Medicare observation stays increased by 88%,1 whereas inpatient discharges decreased by 13.9%.2 In 2012, 1.7 million Medicare observation stays were recorded, and an additional 700,000 inpatient stays were preceded by observation services; the latter represented a 96% increase in status change since 2006.1 Yet no standard research methodology for identifying observation stays exists, including methods to identify and properly characterize “status change” events, which are hospital stays where initial and final inpatient or outpatient (observation) statuses differ.
With the increasing number of hospitalized patients classified as observation, a standard methodology for Medicare claims research is needed so that observation stays can be consistently identified and potentially included in future quality measures and outcomes. Existing research studies and government reports use widely varying criteria to identify observation stays, often lack detailed methods on observation stay case finding, and contain limited information on how status changes between inpatient and outpatient (observation) statuses are incorporated. This variability in approach may lead to omission and/or miscategorization of events and raises concern about the comparability of prior work.
This study aimed to determine the claims patterns of Medicare observation stays, define comprehensive claims-based methodology for future Medicare observation research and data reporting, and identify policy implications of such definition. We are poised to do this work because of our access to the nationally generalizable Centers for Medicare & Medicaid Services (CMS) linked Part A inpatient and outpatient data sets for 2013 and 2014, as well as our prior expertise in hospital observation research and Medicare claims studies.
METHODS
General Methods and Data Source
A 2014 national 20% random sample Part A and B Medicare data set was used. In accordance with the Centers for Medicare & Medicaid (CMS) data use agreement, all included beneficiaries had at least 1 acute care inpatient hospitalization. Included beneficiaries were enrolled for 12 months prior to their first 2014 inpatient stay. Those with Medicare Advantage or railroad benefits were excluded because of incomplete data per prior methods.3 The University of Wisconsin Institutional Review Board approved this study.
Comparison of Methods
The PubMED query “Medicare AND (observation OR observation unit),” limited to English and publication between January 1, 2010 and October 1, 2017, was conducted to determine the universe of prior observation stay definitions used in research for comparison (Appendix).4-20 The Office of Inspector General report,21 the Research Data Assistance Center (ResDAC),22 and Medicare Claims Processing Manual (MCPM)23 were also included. Methods stated in each publication were used to extrapolate observation stay case finding to the study data set.
Observation Stay Case Finding
Inpatient and outpatient revenue centers were queried for observation revenue center (ORC) codes identified by ResDAC,22 including 0760 (Treatment or observation room - general classification), 0761 (Treatment or observation room - treatment room), 0762 (Treatment or observation room – observation room), and 0769 (Treatment or observation room – other) occurring within 30 days of an inpatient stay. Healthcare Common Procedure Coding System (HCPCS) codes G0378 (Hospital observation service, per hour) and G0379 (Direct referral of patient for hospital observation care) were included per MCPM.23 A combination of these ORC and HCPCS codes was also used to identify observation stays in every Medicare claims observation study since 2010. When more than one ORC code per event was found, each ORC was recorded as part of that event. Presence of HCPCS G0378 and/or G0379 was determined for each event in association with event ORC(s), as was association of ORC codes with inpatient claims. In this manuscript, “observation stay” refers to an observation hospital stay, and “event” refers to a hospitalization that may include inpatient and/or outpatient (observation) services and ORC codes.
Status Change
All ORC codes found in the inpatient revenue center were assumed to represent status changes from outpatient (observation) to inpatient, as ORC codes may remain in claims data when the status changes to inpatient.24 Therefore, all events with ORC codes in the inpatient revenue center were considered inpatient hospitalizations.
For each ORC code found in the outpatient revenue center and also associated with an inpatient claim, timing of the ORC code in the inpatient claim was grouped into four categories to determine events with the final status of outpatient (observation stay). ResDAC defines the “From” date as “…the first day on the billing statement covering services rendered to the beneficiary.”24 For most hospitals, this is a three-day period prior to an inpatient admission where outpatient services are included in the Part A claim.25 We defined Category 1 as ORC codes occurring prior to claim “From” date; Category 2 as ORC codes on the inpatient “From” date, between the inpatient “From” date and admission date, or on the admission date; Category 3 as ORC codes between admission and discharge dates; and Category 4 as ORC codes occurring on or after the discharge date. Given that Category 4 represents the final hospitalization status, we considered Category 4 ORC codes in the outpatient revenue center associated with inpatient claims to be observation stays that had undergone a status change from inpatient to outpatient (observation).
University of Wisconsin Method
After excluding ORC codes in the inpatient revenue center as true inpatient hospitalizations, we defined an observation stay as 0760 and/or 0761 and/or 0762 and/or 0769 in the outpatient revenue center and having no association with an inpatient claim. To address a status change from inpatient to outpatient (observation), for those ORC codes in the outpatient revenue center also associated with an inpatient claim, claims with ORC codes in Category 4 were also considered observation stays.
RESULTS
Of 1,667,660 hospital events, 125,920 (7.6%) had an ORC code within 30 days of an inpatient hospitalization, of which 50,418 (3.0%) were found in the inpatient revenue center and 75,502 (4.5%) were from the outpatient revenue center. A total of 59,529 (47.3%) ORC codes occurred with an inpatient claim (50,418 in the inpatient revenue center and 9,111 in the outpatient revenue center), 5,628 (4.5%) had more than one ORC code on a single hospitalization, and more than 90% of codes were 0761 or 0762. These results illustrated variability in claims submissions as measured by the claims themselves and demonstrated a high rate of status changes (Table).
Observation stay definitions varied in the literature, with different methods capturing variable numbers of observation stays (Figure, Appendix). No methods clearly identified how to categorize events with status changes, directly addressed ORC codes in the inpatient revenue center, or discussed events with more than one ORC code. As such, some assumptions were made to extrapolate observation stay case findings as detailed in the Figure (see also Appendix). Notably, reference 4 methods were obtained via personal communication with the manuscript’s first author. The University of Wisconsin definition offers a comprehensive definition that classifies status change events, yielding 72,858 of 75,502 (96.5%) potential observation events as observation stays (Figure). These observation stays include 66,391 stays with ORC codes in the outpatient revenue center without status change or relation to inpatient claim, and 6467 (71.0%) of 9111 events with ORC codes in the outpatient revenue center were associated with an inpatient claim where ORC code(s) is located in Category 4.
CONCLUSIONS
This study confirmed the importance of a standard observation stay case finding methodology. Variability in prior methodology resulted in studies that may have included less than half of potential observation stays. In addition, most studies did not include, or were unclear, on how to address the increasing number of status changes. Others may have erroneously included hospitalizations that were ultimately billed as inpatient, and some publications lacked sufficient detailed methodology to extrapolate results with absolute certainty, a limitation of our comparative results. Although excluding some ORC codes in the outpatient revenue center associated with inpatient claims may possibly miss some observation stays, or including certain ORC codes, such as 0761 (treatment or observation room - treatment room), may erroneously include a different type of observation stay, the proposed University of Wisconsin method could be used as a comprehensive and reproducible method for observation stay case finding, including encounters with status change.
This study has other important policy implications. More than 90% of ORC codes were either 0761 or 0762, and in almost one in 20 claims, two or more distinct codes were identified. Given the lack of clinical relevance of terms “treatment” or “observation” room, and the frequency of more than 1 ORC code per claim, CMS may consider simplification to a single ORC code. Studies of observation encounter length of stay by hour may require G0378 in addition to an ORC code to define an observation stay, but doing so eliminates nearly half of observation claims. Additionally, G0379 adds minimal value to G0378 in case finding.
Finally, this study illustrates overall confusion with outpatient (observation) and inpatient status designations, with almost half (47.3%) of all hospitalizations with ORC codes also associated with an inpatient claim, demonstrating a high status change rate. More than 40% of all nurse case manager job postings are now for status determination work, shifting duties from patient care and quality improvement.26 We previously demonstrated a need for 5.1 FTE combined physician, attorney, and other personnel to manage the status, audit, and appeals process per institution.27 The frequency of status changes and personnel needed to maintain a two-tiered billing system argues for a single hospital status.
In summary, our study highlights the need for federal observation policy reform. We propose a standardized and reproducible approach for Medicare observation claims research, including status changes that can be used for further studies of observation stays.
Acknowledgments
The authors thank Jinn-ing Liou for analyst support, Jen Birstler for figure creation, and Carol Hermann for technical support. This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (Dr. Kind).
Disclosures
The authors have no relevant conflicts of interest to disclose.Funding: This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (
Medicare observation stays are increasingly common. From 2006 to 2012, Medicare observation stays increased by 88%,1 whereas inpatient discharges decreased by 13.9%.2 In 2012, 1.7 million Medicare observation stays were recorded, and an additional 700,000 inpatient stays were preceded by observation services; the latter represented a 96% increase in status change since 2006.1 Yet no standard research methodology for identifying observation stays exists, including methods to identify and properly characterize “status change” events, which are hospital stays where initial and final inpatient or outpatient (observation) statuses differ.
With the increasing number of hospitalized patients classified as observation, a standard methodology for Medicare claims research is needed so that observation stays can be consistently identified and potentially included in future quality measures and outcomes. Existing research studies and government reports use widely varying criteria to identify observation stays, often lack detailed methods on observation stay case finding, and contain limited information on how status changes between inpatient and outpatient (observation) statuses are incorporated. This variability in approach may lead to omission and/or miscategorization of events and raises concern about the comparability of prior work.
This study aimed to determine the claims patterns of Medicare observation stays, define comprehensive claims-based methodology for future Medicare observation research and data reporting, and identify policy implications of such definition. We are poised to do this work because of our access to the nationally generalizable Centers for Medicare & Medicaid Services (CMS) linked Part A inpatient and outpatient data sets for 2013 and 2014, as well as our prior expertise in hospital observation research and Medicare claims studies.
METHODS
General Methods and Data Source
A 2014 national 20% random sample Part A and B Medicare data set was used. In accordance with the Centers for Medicare & Medicaid (CMS) data use agreement, all included beneficiaries had at least 1 acute care inpatient hospitalization. Included beneficiaries were enrolled for 12 months prior to their first 2014 inpatient stay. Those with Medicare Advantage or railroad benefits were excluded because of incomplete data per prior methods.3 The University of Wisconsin Institutional Review Board approved this study.
Comparison of Methods
The PubMED query “Medicare AND (observation OR observation unit),” limited to English and publication between January 1, 2010 and October 1, 2017, was conducted to determine the universe of prior observation stay definitions used in research for comparison (Appendix).4-20 The Office of Inspector General report,21 the Research Data Assistance Center (ResDAC),22 and Medicare Claims Processing Manual (MCPM)23 were also included. Methods stated in each publication were used to extrapolate observation stay case finding to the study data set.
Observation Stay Case Finding
Inpatient and outpatient revenue centers were queried for observation revenue center (ORC) codes identified by ResDAC,22 including 0760 (Treatment or observation room - general classification), 0761 (Treatment or observation room - treatment room), 0762 (Treatment or observation room – observation room), and 0769 (Treatment or observation room – other) occurring within 30 days of an inpatient stay. Healthcare Common Procedure Coding System (HCPCS) codes G0378 (Hospital observation service, per hour) and G0379 (Direct referral of patient for hospital observation care) were included per MCPM.23 A combination of these ORC and HCPCS codes was also used to identify observation stays in every Medicare claims observation study since 2010. When more than one ORC code per event was found, each ORC was recorded as part of that event. Presence of HCPCS G0378 and/or G0379 was determined for each event in association with event ORC(s), as was association of ORC codes with inpatient claims. In this manuscript, “observation stay” refers to an observation hospital stay, and “event” refers to a hospitalization that may include inpatient and/or outpatient (observation) services and ORC codes.
Status Change
All ORC codes found in the inpatient revenue center were assumed to represent status changes from outpatient (observation) to inpatient, as ORC codes may remain in claims data when the status changes to inpatient.24 Therefore, all events with ORC codes in the inpatient revenue center were considered inpatient hospitalizations.
For each ORC code found in the outpatient revenue center and also associated with an inpatient claim, timing of the ORC code in the inpatient claim was grouped into four categories to determine events with the final status of outpatient (observation stay). ResDAC defines the “From” date as “…the first day on the billing statement covering services rendered to the beneficiary.”24 For most hospitals, this is a three-day period prior to an inpatient admission where outpatient services are included in the Part A claim.25 We defined Category 1 as ORC codes occurring prior to claim “From” date; Category 2 as ORC codes on the inpatient “From” date, between the inpatient “From” date and admission date, or on the admission date; Category 3 as ORC codes between admission and discharge dates; and Category 4 as ORC codes occurring on or after the discharge date. Given that Category 4 represents the final hospitalization status, we considered Category 4 ORC codes in the outpatient revenue center associated with inpatient claims to be observation stays that had undergone a status change from inpatient to outpatient (observation).
University of Wisconsin Method
After excluding ORC codes in the inpatient revenue center as true inpatient hospitalizations, we defined an observation stay as 0760 and/or 0761 and/or 0762 and/or 0769 in the outpatient revenue center and having no association with an inpatient claim. To address a status change from inpatient to outpatient (observation), for those ORC codes in the outpatient revenue center also associated with an inpatient claim, claims with ORC codes in Category 4 were also considered observation stays.
RESULTS
Of 1,667,660 hospital events, 125,920 (7.6%) had an ORC code within 30 days of an inpatient hospitalization, of which 50,418 (3.0%) were found in the inpatient revenue center and 75,502 (4.5%) were from the outpatient revenue center. A total of 59,529 (47.3%) ORC codes occurred with an inpatient claim (50,418 in the inpatient revenue center and 9,111 in the outpatient revenue center), 5,628 (4.5%) had more than one ORC code on a single hospitalization, and more than 90% of codes were 0761 or 0762. These results illustrated variability in claims submissions as measured by the claims themselves and demonstrated a high rate of status changes (Table).
Observation stay definitions varied in the literature, with different methods capturing variable numbers of observation stays (Figure, Appendix). No methods clearly identified how to categorize events with status changes, directly addressed ORC codes in the inpatient revenue center, or discussed events with more than one ORC code. As such, some assumptions were made to extrapolate observation stay case findings as detailed in the Figure (see also Appendix). Notably, reference 4 methods were obtained via personal communication with the manuscript’s first author. The University of Wisconsin definition offers a comprehensive definition that classifies status change events, yielding 72,858 of 75,502 (96.5%) potential observation events as observation stays (Figure). These observation stays include 66,391 stays with ORC codes in the outpatient revenue center without status change or relation to inpatient claim, and 6467 (71.0%) of 9111 events with ORC codes in the outpatient revenue center were associated with an inpatient claim where ORC code(s) is located in Category 4.
CONCLUSIONS
This study confirmed the importance of a standard observation stay case finding methodology. Variability in prior methodology resulted in studies that may have included less than half of potential observation stays. In addition, most studies did not include, or were unclear, on how to address the increasing number of status changes. Others may have erroneously included hospitalizations that were ultimately billed as inpatient, and some publications lacked sufficient detailed methodology to extrapolate results with absolute certainty, a limitation of our comparative results. Although excluding some ORC codes in the outpatient revenue center associated with inpatient claims may possibly miss some observation stays, or including certain ORC codes, such as 0761 (treatment or observation room - treatment room), may erroneously include a different type of observation stay, the proposed University of Wisconsin method could be used as a comprehensive and reproducible method for observation stay case finding, including encounters with status change.
This study has other important policy implications. More than 90% of ORC codes were either 0761 or 0762, and in almost one in 20 claims, two or more distinct codes were identified. Given the lack of clinical relevance of terms “treatment” or “observation” room, and the frequency of more than 1 ORC code per claim, CMS may consider simplification to a single ORC code. Studies of observation encounter length of stay by hour may require G0378 in addition to an ORC code to define an observation stay, but doing so eliminates nearly half of observation claims. Additionally, G0379 adds minimal value to G0378 in case finding.
Finally, this study illustrates overall confusion with outpatient (observation) and inpatient status designations, with almost half (47.3%) of all hospitalizations with ORC codes also associated with an inpatient claim, demonstrating a high status change rate. More than 40% of all nurse case manager job postings are now for status determination work, shifting duties from patient care and quality improvement.26 We previously demonstrated a need for 5.1 FTE combined physician, attorney, and other personnel to manage the status, audit, and appeals process per institution.27 The frequency of status changes and personnel needed to maintain a two-tiered billing system argues for a single hospital status.
In summary, our study highlights the need for federal observation policy reform. We propose a standardized and reproducible approach for Medicare observation claims research, including status changes that can be used for further studies of observation stays.
Acknowledgments
The authors thank Jinn-ing Liou for analyst support, Jen Birstler for figure creation, and Carol Hermann for technical support. This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (Dr. Kind).
Disclosures
The authors have no relevant conflicts of interest to disclose.Funding: This work was supported by the National Institute on Minority Health and Health Disparities of the National Institutes of Health under Award Number R01MD010243 (
1. MedPAC Report to Congress. June 2015, Chapter 7. Hospital short-stay policy issues. http://medpac.gov/docs/default-source/reports/june-2015-report-to-the-congress-medicare-and-the-health-care-delivery-system.pdf?sfvrsn=0. Accessed December 21, 2017.
2. MedPAC Report to Congress. March 2017, Chapter 3. Hospital inpatient and outpatient services. http://medpac.gov/docs/default-source/reports/mar17_entirereport224610adfa9c665e80adff00009edf9c.pdf?sfvrsn=0. Accessed December 21, 2017.
3. Kind A, Jencks S, Crock J, et al. Neighborhood socioecomonic disadvantage and 30-day reshospitalization: a retrospective cohort study. Ann Intern Med. 2014;161(11):765-774. doi: 10.7326/M13-2946. PubMed
4. Zuckerman R, Sheingold S, Orav E, Ruhter J, Epstein A. Readmissions, observation, and the Hospital Readmissions Reduction Program. NEJM. 2016;374(16):1543-1551. doi: 10.1056/NEJMsa1513024. PubMed
5. Hockenberry J, Mutter R, Barrett M, Parlato J, Ross M. Factors associated with prolonged observation services stays and the impact of long stays on patient cost. Health Serv Res. 2014;49(3):893-909. 10.1111/1475-6773.12143. PubMed
6. Goldstein J, Zhang Z, Schwartz S, Hicks L. Observation status, poverty, and high financial liability among Medicare beneficiaries. Am J Med. 2017;131(1):e9-101.e15. doi: 10.1016/j.amjmed.2017.07.013. PubMed
7. Feng Z, Wright B, Mor V. Sharp rise in Medicare enrollees being held in hospitals for observation raises concerns about causes and consequences. Health Aff. 2012;31(6):1251-1259. doi: 10.1377/hlthaff.2012.0129. PubMed
8. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care. 2014;52(9):796-800. doi: 10.1097/MLR.0000000000000179 PubMed
9. Wright B, Jung H-Y, Feng Z, Mor V. Hospital, patient, and local health system characteristics associated with the prevalence and duration of observation care. HSR. 2014;49(4):1088-1107. doi: 10.1111/1475-6773.12166. PubMed
10. Overman R, Freburger J, Assimon M, Li X, Brookhart MA. Observation stays in administrative claims databases: underestimation of hospitalized cases. Pharmacoepidemiol Drug Saf. 2014;23(9):902-910. doi: 10.1002/pds.3647. PubMed
11. Vashi A, Cafardi S, Powers C, Ross J, Shrank W. Observation encounters and subsequent nursing facility stays. Am J Manag Care. 2015;21(4):e276-e281. PubMed
12. Venkatesh A, Wang C, Ross J, et al. Hospital use of observation stays: cross-sectional study of the impact on readmission rates. Med Care. 2016;54(12):1070-1077. doi: 10.1097/MLR.0000000000000601 PubMed
13. Gerhardt G, Yemane A, Apostle K, Oelschlaeger A, Rollins E, Brennan N. Evaluating whether changes in utilization of hospital outpatient services contributed to lower Medicare readmission rate. MMRR. 2014;4(1):E1-E13. doi: 10.5600/mmrr2014-004-01-b03 PubMed
14. Lipitz-Snyderman A, Klotz A, Gennarelli R, Groeger J. A population-based assessment of emergency department observation status for older adults with cancer. J Natl Compr Canc Netw. 2017;15(10):1234-1239. doi: 10.6004/jnccn.2017.0160. PubMed
15. Kangovi S, Cafardi S, Smith R, Kulkarni R, Grande D. Patient financial responsibility for observation care. J Hosp Med. 2015;10:718-723. doi: 10.1002/jhm.2436. PubMed
16. Dharmarajan K, Qin L, Bierlein M, et al. Outcomes after observation stays among older adult Medicare beneficiaries in the USA: retrospective cohort study. BMJ. 2017;357:j2616. doi: 10.1136/bmj.j2616 PubMed
17. Baier R, Gardner R, Coleman E, Jencks S, Mor V, Gravenstein S. Shifting the dialogue from hospital readmissions to unplanned care. Am J Manag Care. 2013;19(6):450-453. PubMed
18. Cafardi S, Pines J, Deb P, Powers C, Shrank W. Increased observation services in Medicare beneficiaries with chest pain. Am J Emergency Med. 2016;34(1):16-19. doi: 10.1016/j.ajem.2015.08.049. PubMed
19. Nuckols T, Fingar K, Barrett M, Steiner C, Stocks C, Owens P. The shifting landscape in utilization of inpatient, observation, and emergency department services across payors. J Hosp Med. 2017;12(6):443-446. doi: 10.12788/jhm.2751. PubMed
20. Wright B, Jung H-Y, Feng Z, Mor V. Trends in observation care among Medicare fee-for-service beneficiaries at critical access hospitals, 2007-2009. J Rural Health. 2013;29(1):s1-s6. doi: 10.1111/jrh.12007 PubMed
21. Office of Inspector General. Vulnerabilites remain under Medicare’s 2-Midnight hospital policy. 12-9-2016. https://oig.hhs.gov/oei/reports/oei-02-15-00020.asp. Accessed December 27, 2017. PubMed
22. Research Data Assistance Center (ResDAC). Revenue center table. https://www.resdac.org/sites/resdac.umn.edu/files/Revenue%20Center%20Table.txt. Accessed December 26, 2017.
23. Medicare Claims Processing Manual, Chapter 4, Section 290, Outpatient Observation Services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/clm104c04.pdf. Accessed December 26, 2017.
24. Research Data Assistance Center (ResDAC). Identifying observation stays for those beneficiaries admitted to the hospital. https://www.resdac.org/resconnect/articles/172. Accessed December 27, 2017.
25. Medicare Claims Processing Manual, Chapter 3, Section 40.B. Outpatient services treated as inpatient services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf. Accessed December 26, 2017.
26. Reynolds J. Another look at roles and functions: has hospital case management lost its way? Prof Case Manag. 2013;18(5):246-254. doi: 10.1097/NCM.0b013e31829c8aa8. PubMed
27. Sheehy A, Locke C, Engel J, et al. Recovery audit contractor audit and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. doi: 10.1002/jhm.2332. PubMed
1. MedPAC Report to Congress. June 2015, Chapter 7. Hospital short-stay policy issues. http://medpac.gov/docs/default-source/reports/june-2015-report-to-the-congress-medicare-and-the-health-care-delivery-system.pdf?sfvrsn=0. Accessed December 21, 2017.
2. MedPAC Report to Congress. March 2017, Chapter 3. Hospital inpatient and outpatient services. http://medpac.gov/docs/default-source/reports/mar17_entirereport224610adfa9c665e80adff00009edf9c.pdf?sfvrsn=0. Accessed December 21, 2017.
3. Kind A, Jencks S, Crock J, et al. Neighborhood socioecomonic disadvantage and 30-day reshospitalization: a retrospective cohort study. Ann Intern Med. 2014;161(11):765-774. doi: 10.7326/M13-2946. PubMed
4. Zuckerman R, Sheingold S, Orav E, Ruhter J, Epstein A. Readmissions, observation, and the Hospital Readmissions Reduction Program. NEJM. 2016;374(16):1543-1551. doi: 10.1056/NEJMsa1513024. PubMed
5. Hockenberry J, Mutter R, Barrett M, Parlato J, Ross M. Factors associated with prolonged observation services stays and the impact of long stays on patient cost. Health Serv Res. 2014;49(3):893-909. 10.1111/1475-6773.12143. PubMed
6. Goldstein J, Zhang Z, Schwartz S, Hicks L. Observation status, poverty, and high financial liability among Medicare beneficiaries. Am J Med. 2017;131(1):e9-101.e15. doi: 10.1016/j.amjmed.2017.07.013. PubMed
7. Feng Z, Wright B, Mor V. Sharp rise in Medicare enrollees being held in hospitals for observation raises concerns about causes and consequences. Health Aff. 2012;31(6):1251-1259. doi: 10.1377/hlthaff.2012.0129. PubMed
8. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care. 2014;52(9):796-800. doi: 10.1097/MLR.0000000000000179 PubMed
9. Wright B, Jung H-Y, Feng Z, Mor V. Hospital, patient, and local health system characteristics associated with the prevalence and duration of observation care. HSR. 2014;49(4):1088-1107. doi: 10.1111/1475-6773.12166. PubMed
10. Overman R, Freburger J, Assimon M, Li X, Brookhart MA. Observation stays in administrative claims databases: underestimation of hospitalized cases. Pharmacoepidemiol Drug Saf. 2014;23(9):902-910. doi: 10.1002/pds.3647. PubMed
11. Vashi A, Cafardi S, Powers C, Ross J, Shrank W. Observation encounters and subsequent nursing facility stays. Am J Manag Care. 2015;21(4):e276-e281. PubMed
12. Venkatesh A, Wang C, Ross J, et al. Hospital use of observation stays: cross-sectional study of the impact on readmission rates. Med Care. 2016;54(12):1070-1077. doi: 10.1097/MLR.0000000000000601 PubMed
13. Gerhardt G, Yemane A, Apostle K, Oelschlaeger A, Rollins E, Brennan N. Evaluating whether changes in utilization of hospital outpatient services contributed to lower Medicare readmission rate. MMRR. 2014;4(1):E1-E13. doi: 10.5600/mmrr2014-004-01-b03 PubMed
14. Lipitz-Snyderman A, Klotz A, Gennarelli R, Groeger J. A population-based assessment of emergency department observation status for older adults with cancer. J Natl Compr Canc Netw. 2017;15(10):1234-1239. doi: 10.6004/jnccn.2017.0160. PubMed
15. Kangovi S, Cafardi S, Smith R, Kulkarni R, Grande D. Patient financial responsibility for observation care. J Hosp Med. 2015;10:718-723. doi: 10.1002/jhm.2436. PubMed
16. Dharmarajan K, Qin L, Bierlein M, et al. Outcomes after observation stays among older adult Medicare beneficiaries in the USA: retrospective cohort study. BMJ. 2017;357:j2616. doi: 10.1136/bmj.j2616 PubMed
17. Baier R, Gardner R, Coleman E, Jencks S, Mor V, Gravenstein S. Shifting the dialogue from hospital readmissions to unplanned care. Am J Manag Care. 2013;19(6):450-453. PubMed
18. Cafardi S, Pines J, Deb P, Powers C, Shrank W. Increased observation services in Medicare beneficiaries with chest pain. Am J Emergency Med. 2016;34(1):16-19. doi: 10.1016/j.ajem.2015.08.049. PubMed
19. Nuckols T, Fingar K, Barrett M, Steiner C, Stocks C, Owens P. The shifting landscape in utilization of inpatient, observation, and emergency department services across payors. J Hosp Med. 2017;12(6):443-446. doi: 10.12788/jhm.2751. PubMed
20. Wright B, Jung H-Y, Feng Z, Mor V. Trends in observation care among Medicare fee-for-service beneficiaries at critical access hospitals, 2007-2009. J Rural Health. 2013;29(1):s1-s6. doi: 10.1111/jrh.12007 PubMed
21. Office of Inspector General. Vulnerabilites remain under Medicare’s 2-Midnight hospital policy. 12-9-2016. https://oig.hhs.gov/oei/reports/oei-02-15-00020.asp. Accessed December 27, 2017. PubMed
22. Research Data Assistance Center (ResDAC). Revenue center table. https://www.resdac.org/sites/resdac.umn.edu/files/Revenue%20Center%20Table.txt. Accessed December 26, 2017.
23. Medicare Claims Processing Manual, Chapter 4, Section 290, Outpatient Observation Services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/clm104c04.pdf. Accessed December 26, 2017.
24. Research Data Assistance Center (ResDAC). Identifying observation stays for those beneficiaries admitted to the hospital. https://www.resdac.org/resconnect/articles/172. Accessed December 27, 2017.
25. Medicare Claims Processing Manual, Chapter 3, Section 40.B. Outpatient services treated as inpatient services. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf. Accessed December 26, 2017.
26. Reynolds J. Another look at roles and functions: has hospital case management lost its way? Prof Case Manag. 2013;18(5):246-254. doi: 10.1097/NCM.0b013e31829c8aa8. PubMed
27. Sheehy A, Locke C, Engel J, et al. Recovery audit contractor audit and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. doi: 10.1002/jhm.2332. PubMed
© 2019 Society of Hospital Medicine
In Reference to “The Weekend Effect in Hospitalized Patients: A Meta-Analysis”
The prevalent reason offered for increased mortality rates during weekend hours are shortages in staffing and services. The “weekend effect,” elucidated by Pauls et al.1 in their recent meta-analysis, and the accompanying editorial by Quinn and Bell,2 highlight these and other potential causes for this anomaly.
Pauls et al.1 also cite patient selection bias as a possible explanation for the uptick in deaths during this span (off-hour admissions may be sicker). It is due to the latter that we wish to highlight additional studies published after mid-2013 when the authors concluded their search.
Recent disputes within the UK’s National Health Service3 concerning health system funding spurred timely papers in BMJ4 and Lancet5 on the uncertainty. They both discovered a stronger signal from patient characteristics admitted during this time rather than on-hand resources and workforce. These new investigations strengthen the support for patient acuity as a determinant in explaining worse outcomes.
We highlight these manuscripts so investigators will continue their attempts to understand the weekend phenomena as suggested by both Pauls et al.1 and the editorialists.2 To allow for the delivery of correct interventions, we must understand its root causes. In this case, it may be the unique features of patients presenting on Saturdays and Sundays and, hence, would require a different set of process changes.
Disclosure: The authors declare no conflict of interest.
1. Pauls L, Johnson-Paben R, McGready J, Murphy J, Pronovost P, Wu C. The weekend effect in hospitalized patients: A meta-analysis. J Hosp Med. 2017;12(9):760-766. PubMed
2. Quinn K, Bell C. Does the week-end justify the means? J Hosp Med. 2017;12(9):779-780. PubMed
3. Weaver M. Junior Doctors: Jeremy Hunt says five-day strike will be ‘worst in NHS history.’ The Guardian. https://www.theguardian.com/society/2016/sep/01/jeremy-hunt-five-day-doctors-strike-worst-in-nhs-history. Accessed September 20, 2017.
4. Freemantle N, Ray D, McNulty D, et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services? BMJ. 2015;351:h4596. doi:10.1136/bmj.h4598. PubMed
5. Walker S, Mason A, Phuong Quan T, et al. Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records. The Lancet. 2017;390(10089):62-72. PubMed
The prevalent reason offered for increased mortality rates during weekend hours are shortages in staffing and services. The “weekend effect,” elucidated by Pauls et al.1 in their recent meta-analysis, and the accompanying editorial by Quinn and Bell,2 highlight these and other potential causes for this anomaly.
Pauls et al.1 also cite patient selection bias as a possible explanation for the uptick in deaths during this span (off-hour admissions may be sicker). It is due to the latter that we wish to highlight additional studies published after mid-2013 when the authors concluded their search.
Recent disputes within the UK’s National Health Service3 concerning health system funding spurred timely papers in BMJ4 and Lancet5 on the uncertainty. They both discovered a stronger signal from patient characteristics admitted during this time rather than on-hand resources and workforce. These new investigations strengthen the support for patient acuity as a determinant in explaining worse outcomes.
We highlight these manuscripts so investigators will continue their attempts to understand the weekend phenomena as suggested by both Pauls et al.1 and the editorialists.2 To allow for the delivery of correct interventions, we must understand its root causes. In this case, it may be the unique features of patients presenting on Saturdays and Sundays and, hence, would require a different set of process changes.
Disclosure: The authors declare no conflict of interest.
The prevalent reason offered for increased mortality rates during weekend hours are shortages in staffing and services. The “weekend effect,” elucidated by Pauls et al.1 in their recent meta-analysis, and the accompanying editorial by Quinn and Bell,2 highlight these and other potential causes for this anomaly.
Pauls et al.1 also cite patient selection bias as a possible explanation for the uptick in deaths during this span (off-hour admissions may be sicker). It is due to the latter that we wish to highlight additional studies published after mid-2013 when the authors concluded their search.
Recent disputes within the UK’s National Health Service3 concerning health system funding spurred timely papers in BMJ4 and Lancet5 on the uncertainty. They both discovered a stronger signal from patient characteristics admitted during this time rather than on-hand resources and workforce. These new investigations strengthen the support for patient acuity as a determinant in explaining worse outcomes.
We highlight these manuscripts so investigators will continue their attempts to understand the weekend phenomena as suggested by both Pauls et al.1 and the editorialists.2 To allow for the delivery of correct interventions, we must understand its root causes. In this case, it may be the unique features of patients presenting on Saturdays and Sundays and, hence, would require a different set of process changes.
Disclosure: The authors declare no conflict of interest.
1. Pauls L, Johnson-Paben R, McGready J, Murphy J, Pronovost P, Wu C. The weekend effect in hospitalized patients: A meta-analysis. J Hosp Med. 2017;12(9):760-766. PubMed
2. Quinn K, Bell C. Does the week-end justify the means? J Hosp Med. 2017;12(9):779-780. PubMed
3. Weaver M. Junior Doctors: Jeremy Hunt says five-day strike will be ‘worst in NHS history.’ The Guardian. https://www.theguardian.com/society/2016/sep/01/jeremy-hunt-five-day-doctors-strike-worst-in-nhs-history. Accessed September 20, 2017.
4. Freemantle N, Ray D, McNulty D, et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services? BMJ. 2015;351:h4596. doi:10.1136/bmj.h4598. PubMed
5. Walker S, Mason A, Phuong Quan T, et al. Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records. The Lancet. 2017;390(10089):62-72. PubMed
1. Pauls L, Johnson-Paben R, McGready J, Murphy J, Pronovost P, Wu C. The weekend effect in hospitalized patients: A meta-analysis. J Hosp Med. 2017;12(9):760-766. PubMed
2. Quinn K, Bell C. Does the week-end justify the means? J Hosp Med. 2017;12(9):779-780. PubMed
3. Weaver M. Junior Doctors: Jeremy Hunt says five-day strike will be ‘worst in NHS history.’ The Guardian. https://www.theguardian.com/society/2016/sep/01/jeremy-hunt-five-day-doctors-strike-worst-in-nhs-history. Accessed September 20, 2017.
4. Freemantle N, Ray D, McNulty D, et al. Increased mortality associated with weekend hospital admission: a case for expanded seven day services? BMJ. 2015;351:h4596. doi:10.1136/bmj.h4598. PubMed
5. Walker S, Mason A, Phuong Quan T, et al. Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records. The Lancet. 2017;390(10089):62-72. PubMed
© 2018 Society of Hospital Medicine
Hospitalizations with observation services and the Medicare Part A complex appeals process at three academic medical centers
Hospitalists and other inpatient providers are familiar with hospitalizations classified observation. The Centers for Medicare & Medicaid Services (CMS) uses the “2-midnight rule” to distinguish between outpatient services (which include all observation stays) and inpatient services for most hospitalizations. The rule states that “inpatient admissions will generally be payable … if the admitting practitioner expected the patient to require a hospital stay that crossed two midnights and the medical record supports that reasonable expectation.”1
Hospitalization under inpatient versus outpatient status is a billing distinction that can have significant financial consequences for patients, providers, and hospitals. The inpatient or outpatient observation orders written by hospitalists and other hospital-based providers direct billing based on CMS and other third-party regulation. However, providers may have variable expertise writing such orders. To audit the correct use of the visit-status orders by hospital providers, CMS uses recovery auditors (RAs), also referred to as recovery audit contractors.2,3
Historically, RAs had up to 3 years from date of service (DOS) to perform an audit, which involves asking a hospital for a medical record for a particular stay. The audit timeline includes 45 days for hospitals to produce such documentation, and 60 days for the RA either to agree with the hospital’s billing or to make an “overpayment determination” that the hospital should have billed Medicare Part B (outpatient) instead of Part A (inpatient).3,4 The hospital may either accept the RA decision, or contest it by using the pre-appeals discussion period or by directly entering the 5-level Medicare administrative appeals process.3,4 Level 1 and Level 2 appeals are heard by a government contractor, Level 3 by an administrative law judge (ALJ), Level 4 by a Medicare appeals council, and Level 5 by a federal district court. These different appeal types have different deadlines (Appendix 1). The deadlines for hospitals and government responses beyond Level 1 are set by Congress and enforced by CMS,3,4 and CMS sets discussion period timelines. Hospitals that miss an appeals deadline automatically default their appeals request, but there are no penalties for missed government deadlines.
Recently, there has been increased scrutiny of the audit-and-appeals process of outpatient and inpatient status determinations.5 Despite the 2-midnight rule, the Medicare Benefit Policy Manual (MBPM) retains the passage: “Physicians should use a 24-hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis.”6 Auditors often cite “medical necessity” in their decisions, which is not well defined in the MBPM and can be open to different interpretation. This lack of clarity likely contributed to the large number of status determination discrepancies between providers and RAs, thereby creating a federal appeals backlog that caused the Office of Medicare Hearings and Appeals to halt hospital appeals assignments7 and prompted an ongoing lawsuit against CMS regarding the lengthy appeals process.4 To address these problems and clear the appeals backlog, CMS proposed a “$0.68 settlement offer.”4 The settlement “offered an administrative agreement to any hospital willing to withdraw their pending appeals in exchange for timely partial payment (68% of the net allowable amount)”8 and paid out almost $1.5 billion to the third of eligible hospitals that accepted the offer.9 CMS also made programmatic improvements to the RA program.10
Despite these efforts, problems remain. On June 9, 2016, the U.S. Government Accountability Office (GAO) published Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process, citing an approximate 2000% increase in hospital inpatient appeals during the period 2010–2014 and the concern that appeals requests will continue to exceed adjudication capabilities.11 On July 5, 2016, CMS issued its proposed rule for appeals reform that allows the Medicare Appeals Council (Level 4) to set precedents which would be binding at lower levels and allows senior attorneys to handle some cases and effectively increase manpower at the Level 3 (ALJ). In addition, CMS proposes to revise the method for calculating dollars at risk needed to schedule an ALJ hearing, and develop methods to better adjudicate similar claims, and other process improvements aimed at decreasing the more than 750,000 current claims awaiting ALJ decisions.12
We conducted a study to better understand the Medicare appeals process in the context of the proposed CMS reforms by investigating all appeals reaching Level 3 at Johns Hopkins Hospital (JHH), University of Wisconsin Hospitals and Clinics (UWHC), and University of Utah Hospital (UU). Because relatively few cases nationally are appealed beyond Level 3, the study focused on most-relevant data.3 We examined time spent at each appeal Level and whether it met federally mandated deadlines, as well as the percentage accountable to hospitals versus government contractors or ALJs. We also recorded the overturn rate at Level 3 and evaluated standardized text in de-identified decision letters to determine criteria cited by contractors in their decisions to deny hospital appeal requests.
METHODS
The JHH, UWHC, and UU Institutional Review Boards did not require a review. The study included all complex Part A appeals involving DOS before October 1, 2013 and reaching Level 3 (ALJ) as of May 1, 2016.
Our general methods were described previously.2 Briefly, the 3 academic medical centers are geographically diverse. JHH is in region A, UWHC in region B, and UU in region D (3 of the 4 RA regions are represented). The hospitals had different Medicare administrative contractors but the same qualified independent contractor until March 1, 2015 (Appendix 2).
For this paper, time spent in the discussion period, if applicable, is included in appeals time, except as specified (Table 1). The term partially favorable is used for UU cases only, based on the O’Connor Hospital decision13 (Table 1). Reflecting ambiguity in the MBPM, for time-based encounter length of stay (LOS) statements, JHH and UU used time between admission order and discharge order, whereas UWHC used time between decision to admit (for emergency department patients) or time care began (direct admissions) and time patient stopped receiving care (Table 2). Although CMS now defines when a hospital encounter begins under the 2-midnight rule,14 there was no standard definition when the cases in this study were audited.
We reviewed de-identified standardized text in Level 1 and Level 2 decision letters. Each hospital designated an analyst to search letters for Medicare Benefit Policy Manual chapter 1, which references the 24-hour benchmark, or the MBPM statement regarding use of the 24-hour period as a benchmark to guide inpatient admission orders.6 Associated paragraphs that included these terms were coded and reviewed by Drs. Sheehy, Engel, and Locke to confirm that the 24-hour time-based benchmark was mentioned, as per the MBPM statement (Table 2, Appendix 3).
Descriptive statistics are used to describe the data, and representative de-identified standardized text is included.
RESULTS
Of 219 Level 3 cases, 135 (61.6%) concluded at Level 3. Of these 135 cases, 96 (71.1%) were decided in favor of the hospital, 11 (8.1%) were settled in the CMS $0.68 settlement offer, and 28 (20.7%) were unfavorable to the hospital (Table 1).
Mean total days since DOS was 1,663.3 (536.8) (mean [SD]), with median 1708 days. This included 560.4 (351.6) days between DOS and audit (median 556 days) and 891.3 (320.3) days in appeal (median 979 days). The hospitals were responsible for 29.3% of that time (260.7 [68.2] days) while government contractors were responsible for 70.7% (630.6 [277.2] days). Government contractors and ALJs met deadlines 47.7% of the time, meeting appeals deadlines 92.5% of the time for Discussion, 85.4% for Level 1, 38.8% for Level 2, and 0% for Level 3 (Table 1).
All “redetermination” (level 1 appeals letters) received at UU and UWHC, and all “reconsideration” (level 2 appeals letters) received by UU, UWHC, and JHH contained standardized time-based 24–hour benchmark text directly or referencing the MBPM containing such text, to describe criteria for inpatient status (Table 2 and Appendix 3).6 In total, 417 of 438 (95.2%) of Level 1 and Level 2 appeals results letters contained time-based 24-hour benchmark criteria for inpatient status despite 154 of 219 (70.3%) of denied cases exceeding a 24-hour LOS.
DISCUSSION
This study demonstrated process and timeliness concerns in the Medicare RA program for Level 3 cases at 3 academic medical centers. Although hospitals forfeit any appeal for which they miss a filing deadline, government contractors and ALJs met their deadlines less than half the time without default or penalty. Average time from the rendering of services to the conclusion of the audit-and-appeals process exceeded 4.5 years, which included an average 560 days between hospital stay and initial RA audit, and almost 900 days in appeals, with more than 70% of that time attributable to government contractors and ALJs.
Objective time-based 24-hour inpatient status criteria were referenced in 95% of decision letters, even though LOS exceeded 24 hours in more than 70% of these cases, suggesting that objective LOS data played only a small role in contractor decisions, or that contractors did not actually audit for LOS when reviewing cases. Unclear criteria likely contributed to payment denials and improper payments, despite admitting providers’ best efforts to comply with Medicare rules when writing visit-status orders. There was also a significant cost to hospitals; our prior study found that navigating the appeals process required 5 full-time equivalents per institution.2
At the 2 study hospitals with Level 3 decisions, more than two thirds of the decisions favored the hospital, suggesting the hospitals were justified in appealing RA Level 1 and Level 2 determinations. This proportion is consistent with the 43% ALJ overturn rate (including RA- and non-RA-derived appeals) cited in the recent U.S. Court of Appeals for the DC Circuit decision.9
This study potentially was limited by contractor and hospital use of the nonstandardized LOS calculation during the study period. That the majority of JHH and UU cases cited the 24-hour benchmark in their letters but nevertheless exceeded 24-hour LOS (using the most conservative definition of LOS) suggests contractors did not audit for or consider LOS in their decisions.
Our results support recent steps taken by CMS to reform the appeals process, including shortening the RA “look-back period” from 3 years to 6 months,10 which will markedly shorten the 560-day lag between DOS and audit found in this study. In addition, CMS has replaced RAs with beneficiary and family-centered care quality improvement organizations (BFCC-QIOs)1,8 for initial status determination audits. Although it is too soon to tell, the hope is that BFCC-QIOs will decrease the volume of audits and denials that have overwhelmed the system and most probably contributed to process delays and the appeals backlog.
However, our data demonstrate several areas of concern not addressed in the recent GAO report11 or in the rule proposed by CMS.12 Most important, CMS could consider an appeals deadline missed by a government contractor as a decision for the hospital, in the same way a hospital’s missed deadline defaults its appeal. Such equity would ensure due process and prevent another appeals backlog. In addition, the large number of Level 3 decisions favoring hospitals suggests a need for process improvement at the Medicare administrative contractor and qualified independent contractor Level of appeals—such as mandatory review of Level 1 and Level 2 decision letters for appeals overturned at Level 3, accountability for Level 1 and Level 2 contractors with high rates of Level 3 overturn, and clarification of criteria used to judge determinations.
Medicare fraud cannot be tolerated, and a robust auditing process is essential to the integrity of the Medicare program. CMS’s current and proposed reforms may not be enough to eliminate the appeals backlog and restore a timely and fair appeals process. As CMS explores bundled payments and other reimbursement reforms, perhaps the need to distinguish observation hospital care will be eliminated. Short of that, additional actions must be taken so that a just and efficient Medicare appeals system can be realized for observation hospitalizations.
Acknowledgments
For invaluable assistance in data preparation and presentation, the authors thank Becky Borchert, RN, MS, MBA, Program Manager for Medicare/Medicaid Utilization Review, University of Wisconsin Hospital and Clinics; Carol Duhaney, Calvin Young, and Joan Kratz, RN, Johns Hopkins Hospital; and Morgan Walker and Lisa Whittaker, RN, University of Utah.
Disclosure
Nothing to report.
1. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Fact sheet: 2-midnight rule. https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2015-Fact-sheets-items/2015-07-01-2.html. Published July 1, 2015. Accessed August 9, 2016.
2. Sheehy AM, Locke C, Engel JZ, et al. Recovery Audit Contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. PubMed
3. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery auditing in Medicare for fiscal year 2014. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Recovery-Audit-Program/Downloads/RAC-RTC-FY2014.pdf. Accessed August 9, 2016.
4. American Hospital Association vs Burwell. No 15-5015. Circuit court decision. https://www.cadc.uscourts.gov/internet/opinions.nsf/CDFE9734F0D36C2185257F540052A39D/$file/15-5015-1597907.pdf. Decided February 9, 2016. Accessed August 9, 2016
5. AMA news: Payment recovery audit program needs overhaul: Doctors to CMS. https://wire.ama-assn.org/ama-news/payment-recovery-audit-program-needs-overhaul-doctors-cms. Accessed March 17, 2017.
6. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital services covered under Part A. In: Medicare Benefit Policy Manual. Chapter 1. Publication 100-02. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/bp102c01.pdf. Accessed August 9, 2016.
7. Griswold NJ; Office of Medicare Hearings and Appeals, US Dept of Health and Human Services. Memorandum to OMHA Medicare appellants. http://www.modernhealthcare.com/assets/pdf/CH92573110.pdf. Accessed August 9, 2016.
8. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital reviews. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Medical-Review/InpatientHospitalReviews.html. Accessed August 9, 2016.
9. Galewitz P. CMS identifies hospitals paid nearly $1.5B in 2015 Medicare billing settlement. Kaiser Health News. http://khn.org/news/cms-identifies-hospitals-paid-nearly-1-5b-in-2015-medicare-billing-settlement/. Published August 23, 2016. Accessed October 14, 2016.
10. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery audit program improvements. https://www.cms.gov/research-statistics-data-and-systems/monitoring-programs/medicare-ffs-compliance-programs/recovery-audit-program/downloads/RAC-program-improvements.pdf. Accessed August 9, 2016.
11. US Government Accountability Office. Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process. http://www.gao.gov/assets/680/677034.pdf. Publication GAO-16-366. Published May 10, 2016. Accessed August 9, 2016.
12. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Changes to the Medicare Claims and Entitlement, Medicare Advantage Organization Determination, and Medicare Prescription Drug Coverage Determination Appeals Procedures. https://www.gpo.gov/fdsys/pkg/FR-2016-07-05/pdf/2016-15192.pdf. Accessed August 9, 2016.
13. Departmental Appeals Board, US Dept of Health and Human Services. Action and Order of Medicare Appeals Council: in the case of O’Connor Hospital. http://www.hhs.gov/dab/divisions/medicareoperations/macdecisions/oconnorhospital.pdf. Accessed August 9, 2016.
14. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Frequently asked questions: 2 midnight inpatient admission guidance & patient status reviews for admissions on or after October 1, 2013. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medical-Review/Downloads/QAsforWebsitePosting_110413-v2-CLEAN.pdf. Accessed August 9, 2016.
Hospitalists and other inpatient providers are familiar with hospitalizations classified observation. The Centers for Medicare & Medicaid Services (CMS) uses the “2-midnight rule” to distinguish between outpatient services (which include all observation stays) and inpatient services for most hospitalizations. The rule states that “inpatient admissions will generally be payable … if the admitting practitioner expected the patient to require a hospital stay that crossed two midnights and the medical record supports that reasonable expectation.”1
Hospitalization under inpatient versus outpatient status is a billing distinction that can have significant financial consequences for patients, providers, and hospitals. The inpatient or outpatient observation orders written by hospitalists and other hospital-based providers direct billing based on CMS and other third-party regulation. However, providers may have variable expertise writing such orders. To audit the correct use of the visit-status orders by hospital providers, CMS uses recovery auditors (RAs), also referred to as recovery audit contractors.2,3
Historically, RAs had up to 3 years from date of service (DOS) to perform an audit, which involves asking a hospital for a medical record for a particular stay. The audit timeline includes 45 days for hospitals to produce such documentation, and 60 days for the RA either to agree with the hospital’s billing or to make an “overpayment determination” that the hospital should have billed Medicare Part B (outpatient) instead of Part A (inpatient).3,4 The hospital may either accept the RA decision, or contest it by using the pre-appeals discussion period or by directly entering the 5-level Medicare administrative appeals process.3,4 Level 1 and Level 2 appeals are heard by a government contractor, Level 3 by an administrative law judge (ALJ), Level 4 by a Medicare appeals council, and Level 5 by a federal district court. These different appeal types have different deadlines (Appendix 1). The deadlines for hospitals and government responses beyond Level 1 are set by Congress and enforced by CMS,3,4 and CMS sets discussion period timelines. Hospitals that miss an appeals deadline automatically default their appeals request, but there are no penalties for missed government deadlines.
Recently, there has been increased scrutiny of the audit-and-appeals process of outpatient and inpatient status determinations.5 Despite the 2-midnight rule, the Medicare Benefit Policy Manual (MBPM) retains the passage: “Physicians should use a 24-hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis.”6 Auditors often cite “medical necessity” in their decisions, which is not well defined in the MBPM and can be open to different interpretation. This lack of clarity likely contributed to the large number of status determination discrepancies between providers and RAs, thereby creating a federal appeals backlog that caused the Office of Medicare Hearings and Appeals to halt hospital appeals assignments7 and prompted an ongoing lawsuit against CMS regarding the lengthy appeals process.4 To address these problems and clear the appeals backlog, CMS proposed a “$0.68 settlement offer.”4 The settlement “offered an administrative agreement to any hospital willing to withdraw their pending appeals in exchange for timely partial payment (68% of the net allowable amount)”8 and paid out almost $1.5 billion to the third of eligible hospitals that accepted the offer.9 CMS also made programmatic improvements to the RA program.10
Despite these efforts, problems remain. On June 9, 2016, the U.S. Government Accountability Office (GAO) published Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process, citing an approximate 2000% increase in hospital inpatient appeals during the period 2010–2014 and the concern that appeals requests will continue to exceed adjudication capabilities.11 On July 5, 2016, CMS issued its proposed rule for appeals reform that allows the Medicare Appeals Council (Level 4) to set precedents which would be binding at lower levels and allows senior attorneys to handle some cases and effectively increase manpower at the Level 3 (ALJ). In addition, CMS proposes to revise the method for calculating dollars at risk needed to schedule an ALJ hearing, and develop methods to better adjudicate similar claims, and other process improvements aimed at decreasing the more than 750,000 current claims awaiting ALJ decisions.12
We conducted a study to better understand the Medicare appeals process in the context of the proposed CMS reforms by investigating all appeals reaching Level 3 at Johns Hopkins Hospital (JHH), University of Wisconsin Hospitals and Clinics (UWHC), and University of Utah Hospital (UU). Because relatively few cases nationally are appealed beyond Level 3, the study focused on most-relevant data.3 We examined time spent at each appeal Level and whether it met federally mandated deadlines, as well as the percentage accountable to hospitals versus government contractors or ALJs. We also recorded the overturn rate at Level 3 and evaluated standardized text in de-identified decision letters to determine criteria cited by contractors in their decisions to deny hospital appeal requests.
METHODS
The JHH, UWHC, and UU Institutional Review Boards did not require a review. The study included all complex Part A appeals involving DOS before October 1, 2013 and reaching Level 3 (ALJ) as of May 1, 2016.
Our general methods were described previously.2 Briefly, the 3 academic medical centers are geographically diverse. JHH is in region A, UWHC in region B, and UU in region D (3 of the 4 RA regions are represented). The hospitals had different Medicare administrative contractors but the same qualified independent contractor until March 1, 2015 (Appendix 2).
For this paper, time spent in the discussion period, if applicable, is included in appeals time, except as specified (Table 1). The term partially favorable is used for UU cases only, based on the O’Connor Hospital decision13 (Table 1). Reflecting ambiguity in the MBPM, for time-based encounter length of stay (LOS) statements, JHH and UU used time between admission order and discharge order, whereas UWHC used time between decision to admit (for emergency department patients) or time care began (direct admissions) and time patient stopped receiving care (Table 2). Although CMS now defines when a hospital encounter begins under the 2-midnight rule,14 there was no standard definition when the cases in this study were audited.
We reviewed de-identified standardized text in Level 1 and Level 2 decision letters. Each hospital designated an analyst to search letters for Medicare Benefit Policy Manual chapter 1, which references the 24-hour benchmark, or the MBPM statement regarding use of the 24-hour period as a benchmark to guide inpatient admission orders.6 Associated paragraphs that included these terms were coded and reviewed by Drs. Sheehy, Engel, and Locke to confirm that the 24-hour time-based benchmark was mentioned, as per the MBPM statement (Table 2, Appendix 3).
Descriptive statistics are used to describe the data, and representative de-identified standardized text is included.
RESULTS
Of 219 Level 3 cases, 135 (61.6%) concluded at Level 3. Of these 135 cases, 96 (71.1%) were decided in favor of the hospital, 11 (8.1%) were settled in the CMS $0.68 settlement offer, and 28 (20.7%) were unfavorable to the hospital (Table 1).
Mean total days since DOS was 1,663.3 (536.8) (mean [SD]), with median 1708 days. This included 560.4 (351.6) days between DOS and audit (median 556 days) and 891.3 (320.3) days in appeal (median 979 days). The hospitals were responsible for 29.3% of that time (260.7 [68.2] days) while government contractors were responsible for 70.7% (630.6 [277.2] days). Government contractors and ALJs met deadlines 47.7% of the time, meeting appeals deadlines 92.5% of the time for Discussion, 85.4% for Level 1, 38.8% for Level 2, and 0% for Level 3 (Table 1).
All “redetermination” (level 1 appeals letters) received at UU and UWHC, and all “reconsideration” (level 2 appeals letters) received by UU, UWHC, and JHH contained standardized time-based 24–hour benchmark text directly or referencing the MBPM containing such text, to describe criteria for inpatient status (Table 2 and Appendix 3).6 In total, 417 of 438 (95.2%) of Level 1 and Level 2 appeals results letters contained time-based 24-hour benchmark criteria for inpatient status despite 154 of 219 (70.3%) of denied cases exceeding a 24-hour LOS.
DISCUSSION
This study demonstrated process and timeliness concerns in the Medicare RA program for Level 3 cases at 3 academic medical centers. Although hospitals forfeit any appeal for which they miss a filing deadline, government contractors and ALJs met their deadlines less than half the time without default or penalty. Average time from the rendering of services to the conclusion of the audit-and-appeals process exceeded 4.5 years, which included an average 560 days between hospital stay and initial RA audit, and almost 900 days in appeals, with more than 70% of that time attributable to government contractors and ALJs.
Objective time-based 24-hour inpatient status criteria were referenced in 95% of decision letters, even though LOS exceeded 24 hours in more than 70% of these cases, suggesting that objective LOS data played only a small role in contractor decisions, or that contractors did not actually audit for LOS when reviewing cases. Unclear criteria likely contributed to payment denials and improper payments, despite admitting providers’ best efforts to comply with Medicare rules when writing visit-status orders. There was also a significant cost to hospitals; our prior study found that navigating the appeals process required 5 full-time equivalents per institution.2
At the 2 study hospitals with Level 3 decisions, more than two thirds of the decisions favored the hospital, suggesting the hospitals were justified in appealing RA Level 1 and Level 2 determinations. This proportion is consistent with the 43% ALJ overturn rate (including RA- and non-RA-derived appeals) cited in the recent U.S. Court of Appeals for the DC Circuit decision.9
This study potentially was limited by contractor and hospital use of the nonstandardized LOS calculation during the study period. That the majority of JHH and UU cases cited the 24-hour benchmark in their letters but nevertheless exceeded 24-hour LOS (using the most conservative definition of LOS) suggests contractors did not audit for or consider LOS in their decisions.
Our results support recent steps taken by CMS to reform the appeals process, including shortening the RA “look-back period” from 3 years to 6 months,10 which will markedly shorten the 560-day lag between DOS and audit found in this study. In addition, CMS has replaced RAs with beneficiary and family-centered care quality improvement organizations (BFCC-QIOs)1,8 for initial status determination audits. Although it is too soon to tell, the hope is that BFCC-QIOs will decrease the volume of audits and denials that have overwhelmed the system and most probably contributed to process delays and the appeals backlog.
However, our data demonstrate several areas of concern not addressed in the recent GAO report11 or in the rule proposed by CMS.12 Most important, CMS could consider an appeals deadline missed by a government contractor as a decision for the hospital, in the same way a hospital’s missed deadline defaults its appeal. Such equity would ensure due process and prevent another appeals backlog. In addition, the large number of Level 3 decisions favoring hospitals suggests a need for process improvement at the Medicare administrative contractor and qualified independent contractor Level of appeals—such as mandatory review of Level 1 and Level 2 decision letters for appeals overturned at Level 3, accountability for Level 1 and Level 2 contractors with high rates of Level 3 overturn, and clarification of criteria used to judge determinations.
Medicare fraud cannot be tolerated, and a robust auditing process is essential to the integrity of the Medicare program. CMS’s current and proposed reforms may not be enough to eliminate the appeals backlog and restore a timely and fair appeals process. As CMS explores bundled payments and other reimbursement reforms, perhaps the need to distinguish observation hospital care will be eliminated. Short of that, additional actions must be taken so that a just and efficient Medicare appeals system can be realized for observation hospitalizations.
Acknowledgments
For invaluable assistance in data preparation and presentation, the authors thank Becky Borchert, RN, MS, MBA, Program Manager for Medicare/Medicaid Utilization Review, University of Wisconsin Hospital and Clinics; Carol Duhaney, Calvin Young, and Joan Kratz, RN, Johns Hopkins Hospital; and Morgan Walker and Lisa Whittaker, RN, University of Utah.
Disclosure
Nothing to report.
Hospitalists and other inpatient providers are familiar with hospitalizations classified observation. The Centers for Medicare & Medicaid Services (CMS) uses the “2-midnight rule” to distinguish between outpatient services (which include all observation stays) and inpatient services for most hospitalizations. The rule states that “inpatient admissions will generally be payable … if the admitting practitioner expected the patient to require a hospital stay that crossed two midnights and the medical record supports that reasonable expectation.”1
Hospitalization under inpatient versus outpatient status is a billing distinction that can have significant financial consequences for patients, providers, and hospitals. The inpatient or outpatient observation orders written by hospitalists and other hospital-based providers direct billing based on CMS and other third-party regulation. However, providers may have variable expertise writing such orders. To audit the correct use of the visit-status orders by hospital providers, CMS uses recovery auditors (RAs), also referred to as recovery audit contractors.2,3
Historically, RAs had up to 3 years from date of service (DOS) to perform an audit, which involves asking a hospital for a medical record for a particular stay. The audit timeline includes 45 days for hospitals to produce such documentation, and 60 days for the RA either to agree with the hospital’s billing or to make an “overpayment determination” that the hospital should have billed Medicare Part B (outpatient) instead of Part A (inpatient).3,4 The hospital may either accept the RA decision, or contest it by using the pre-appeals discussion period or by directly entering the 5-level Medicare administrative appeals process.3,4 Level 1 and Level 2 appeals are heard by a government contractor, Level 3 by an administrative law judge (ALJ), Level 4 by a Medicare appeals council, and Level 5 by a federal district court. These different appeal types have different deadlines (Appendix 1). The deadlines for hospitals and government responses beyond Level 1 are set by Congress and enforced by CMS,3,4 and CMS sets discussion period timelines. Hospitals that miss an appeals deadline automatically default their appeals request, but there are no penalties for missed government deadlines.
Recently, there has been increased scrutiny of the audit-and-appeals process of outpatient and inpatient status determinations.5 Despite the 2-midnight rule, the Medicare Benefit Policy Manual (MBPM) retains the passage: “Physicians should use a 24-hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis.”6 Auditors often cite “medical necessity” in their decisions, which is not well defined in the MBPM and can be open to different interpretation. This lack of clarity likely contributed to the large number of status determination discrepancies between providers and RAs, thereby creating a federal appeals backlog that caused the Office of Medicare Hearings and Appeals to halt hospital appeals assignments7 and prompted an ongoing lawsuit against CMS regarding the lengthy appeals process.4 To address these problems and clear the appeals backlog, CMS proposed a “$0.68 settlement offer.”4 The settlement “offered an administrative agreement to any hospital willing to withdraw their pending appeals in exchange for timely partial payment (68% of the net allowable amount)”8 and paid out almost $1.5 billion to the third of eligible hospitals that accepted the offer.9 CMS also made programmatic improvements to the RA program.10
Despite these efforts, problems remain. On June 9, 2016, the U.S. Government Accountability Office (GAO) published Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process, citing an approximate 2000% increase in hospital inpatient appeals during the period 2010–2014 and the concern that appeals requests will continue to exceed adjudication capabilities.11 On July 5, 2016, CMS issued its proposed rule for appeals reform that allows the Medicare Appeals Council (Level 4) to set precedents which would be binding at lower levels and allows senior attorneys to handle some cases and effectively increase manpower at the Level 3 (ALJ). In addition, CMS proposes to revise the method for calculating dollars at risk needed to schedule an ALJ hearing, and develop methods to better adjudicate similar claims, and other process improvements aimed at decreasing the more than 750,000 current claims awaiting ALJ decisions.12
We conducted a study to better understand the Medicare appeals process in the context of the proposed CMS reforms by investigating all appeals reaching Level 3 at Johns Hopkins Hospital (JHH), University of Wisconsin Hospitals and Clinics (UWHC), and University of Utah Hospital (UU). Because relatively few cases nationally are appealed beyond Level 3, the study focused on most-relevant data.3 We examined time spent at each appeal Level and whether it met federally mandated deadlines, as well as the percentage accountable to hospitals versus government contractors or ALJs. We also recorded the overturn rate at Level 3 and evaluated standardized text in de-identified decision letters to determine criteria cited by contractors in their decisions to deny hospital appeal requests.
METHODS
The JHH, UWHC, and UU Institutional Review Boards did not require a review. The study included all complex Part A appeals involving DOS before October 1, 2013 and reaching Level 3 (ALJ) as of May 1, 2016.
Our general methods were described previously.2 Briefly, the 3 academic medical centers are geographically diverse. JHH is in region A, UWHC in region B, and UU in region D (3 of the 4 RA regions are represented). The hospitals had different Medicare administrative contractors but the same qualified independent contractor until March 1, 2015 (Appendix 2).
For this paper, time spent in the discussion period, if applicable, is included in appeals time, except as specified (Table 1). The term partially favorable is used for UU cases only, based on the O’Connor Hospital decision13 (Table 1). Reflecting ambiguity in the MBPM, for time-based encounter length of stay (LOS) statements, JHH and UU used time between admission order and discharge order, whereas UWHC used time between decision to admit (for emergency department patients) or time care began (direct admissions) and time patient stopped receiving care (Table 2). Although CMS now defines when a hospital encounter begins under the 2-midnight rule,14 there was no standard definition when the cases in this study were audited.
We reviewed de-identified standardized text in Level 1 and Level 2 decision letters. Each hospital designated an analyst to search letters for Medicare Benefit Policy Manual chapter 1, which references the 24-hour benchmark, or the MBPM statement regarding use of the 24-hour period as a benchmark to guide inpatient admission orders.6 Associated paragraphs that included these terms were coded and reviewed by Drs. Sheehy, Engel, and Locke to confirm that the 24-hour time-based benchmark was mentioned, as per the MBPM statement (Table 2, Appendix 3).
Descriptive statistics are used to describe the data, and representative de-identified standardized text is included.
RESULTS
Of 219 Level 3 cases, 135 (61.6%) concluded at Level 3. Of these 135 cases, 96 (71.1%) were decided in favor of the hospital, 11 (8.1%) were settled in the CMS $0.68 settlement offer, and 28 (20.7%) were unfavorable to the hospital (Table 1).
Mean total days since DOS was 1,663.3 (536.8) (mean [SD]), with median 1708 days. This included 560.4 (351.6) days between DOS and audit (median 556 days) and 891.3 (320.3) days in appeal (median 979 days). The hospitals were responsible for 29.3% of that time (260.7 [68.2] days) while government contractors were responsible for 70.7% (630.6 [277.2] days). Government contractors and ALJs met deadlines 47.7% of the time, meeting appeals deadlines 92.5% of the time for Discussion, 85.4% for Level 1, 38.8% for Level 2, and 0% for Level 3 (Table 1).
All “redetermination” (level 1 appeals letters) received at UU and UWHC, and all “reconsideration” (level 2 appeals letters) received by UU, UWHC, and JHH contained standardized time-based 24–hour benchmark text directly or referencing the MBPM containing such text, to describe criteria for inpatient status (Table 2 and Appendix 3).6 In total, 417 of 438 (95.2%) of Level 1 and Level 2 appeals results letters contained time-based 24-hour benchmark criteria for inpatient status despite 154 of 219 (70.3%) of denied cases exceeding a 24-hour LOS.
DISCUSSION
This study demonstrated process and timeliness concerns in the Medicare RA program for Level 3 cases at 3 academic medical centers. Although hospitals forfeit any appeal for which they miss a filing deadline, government contractors and ALJs met their deadlines less than half the time without default or penalty. Average time from the rendering of services to the conclusion of the audit-and-appeals process exceeded 4.5 years, which included an average 560 days between hospital stay and initial RA audit, and almost 900 days in appeals, with more than 70% of that time attributable to government contractors and ALJs.
Objective time-based 24-hour inpatient status criteria were referenced in 95% of decision letters, even though LOS exceeded 24 hours in more than 70% of these cases, suggesting that objective LOS data played only a small role in contractor decisions, or that contractors did not actually audit for LOS when reviewing cases. Unclear criteria likely contributed to payment denials and improper payments, despite admitting providers’ best efforts to comply with Medicare rules when writing visit-status orders. There was also a significant cost to hospitals; our prior study found that navigating the appeals process required 5 full-time equivalents per institution.2
At the 2 study hospitals with Level 3 decisions, more than two thirds of the decisions favored the hospital, suggesting the hospitals were justified in appealing RA Level 1 and Level 2 determinations. This proportion is consistent with the 43% ALJ overturn rate (including RA- and non-RA-derived appeals) cited in the recent U.S. Court of Appeals for the DC Circuit decision.9
This study potentially was limited by contractor and hospital use of the nonstandardized LOS calculation during the study period. That the majority of JHH and UU cases cited the 24-hour benchmark in their letters but nevertheless exceeded 24-hour LOS (using the most conservative definition of LOS) suggests contractors did not audit for or consider LOS in their decisions.
Our results support recent steps taken by CMS to reform the appeals process, including shortening the RA “look-back period” from 3 years to 6 months,10 which will markedly shorten the 560-day lag between DOS and audit found in this study. In addition, CMS has replaced RAs with beneficiary and family-centered care quality improvement organizations (BFCC-QIOs)1,8 for initial status determination audits. Although it is too soon to tell, the hope is that BFCC-QIOs will decrease the volume of audits and denials that have overwhelmed the system and most probably contributed to process delays and the appeals backlog.
However, our data demonstrate several areas of concern not addressed in the recent GAO report11 or in the rule proposed by CMS.12 Most important, CMS could consider an appeals deadline missed by a government contractor as a decision for the hospital, in the same way a hospital’s missed deadline defaults its appeal. Such equity would ensure due process and prevent another appeals backlog. In addition, the large number of Level 3 decisions favoring hospitals suggests a need for process improvement at the Medicare administrative contractor and qualified independent contractor Level of appeals—such as mandatory review of Level 1 and Level 2 decision letters for appeals overturned at Level 3, accountability for Level 1 and Level 2 contractors with high rates of Level 3 overturn, and clarification of criteria used to judge determinations.
Medicare fraud cannot be tolerated, and a robust auditing process is essential to the integrity of the Medicare program. CMS’s current and proposed reforms may not be enough to eliminate the appeals backlog and restore a timely and fair appeals process. As CMS explores bundled payments and other reimbursement reforms, perhaps the need to distinguish observation hospital care will be eliminated. Short of that, additional actions must be taken so that a just and efficient Medicare appeals system can be realized for observation hospitalizations.
Acknowledgments
For invaluable assistance in data preparation and presentation, the authors thank Becky Borchert, RN, MS, MBA, Program Manager for Medicare/Medicaid Utilization Review, University of Wisconsin Hospital and Clinics; Carol Duhaney, Calvin Young, and Joan Kratz, RN, Johns Hopkins Hospital; and Morgan Walker and Lisa Whittaker, RN, University of Utah.
Disclosure
Nothing to report.
1. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Fact sheet: 2-midnight rule. https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2015-Fact-sheets-items/2015-07-01-2.html. Published July 1, 2015. Accessed August 9, 2016.
2. Sheehy AM, Locke C, Engel JZ, et al. Recovery Audit Contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. PubMed
3. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery auditing in Medicare for fiscal year 2014. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Recovery-Audit-Program/Downloads/RAC-RTC-FY2014.pdf. Accessed August 9, 2016.
4. American Hospital Association vs Burwell. No 15-5015. Circuit court decision. https://www.cadc.uscourts.gov/internet/opinions.nsf/CDFE9734F0D36C2185257F540052A39D/$file/15-5015-1597907.pdf. Decided February 9, 2016. Accessed August 9, 2016
5. AMA news: Payment recovery audit program needs overhaul: Doctors to CMS. https://wire.ama-assn.org/ama-news/payment-recovery-audit-program-needs-overhaul-doctors-cms. Accessed March 17, 2017.
6. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital services covered under Part A. In: Medicare Benefit Policy Manual. Chapter 1. Publication 100-02. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/bp102c01.pdf. Accessed August 9, 2016.
7. Griswold NJ; Office of Medicare Hearings and Appeals, US Dept of Health and Human Services. Memorandum to OMHA Medicare appellants. http://www.modernhealthcare.com/assets/pdf/CH92573110.pdf. Accessed August 9, 2016.
8. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital reviews. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Medical-Review/InpatientHospitalReviews.html. Accessed August 9, 2016.
9. Galewitz P. CMS identifies hospitals paid nearly $1.5B in 2015 Medicare billing settlement. Kaiser Health News. http://khn.org/news/cms-identifies-hospitals-paid-nearly-1-5b-in-2015-medicare-billing-settlement/. Published August 23, 2016. Accessed October 14, 2016.
10. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery audit program improvements. https://www.cms.gov/research-statistics-data-and-systems/monitoring-programs/medicare-ffs-compliance-programs/recovery-audit-program/downloads/RAC-program-improvements.pdf. Accessed August 9, 2016.
11. US Government Accountability Office. Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process. http://www.gao.gov/assets/680/677034.pdf. Publication GAO-16-366. Published May 10, 2016. Accessed August 9, 2016.
12. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Changes to the Medicare Claims and Entitlement, Medicare Advantage Organization Determination, and Medicare Prescription Drug Coverage Determination Appeals Procedures. https://www.gpo.gov/fdsys/pkg/FR-2016-07-05/pdf/2016-15192.pdf. Accessed August 9, 2016.
13. Departmental Appeals Board, US Dept of Health and Human Services. Action and Order of Medicare Appeals Council: in the case of O’Connor Hospital. http://www.hhs.gov/dab/divisions/medicareoperations/macdecisions/oconnorhospital.pdf. Accessed August 9, 2016.
14. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Frequently asked questions: 2 midnight inpatient admission guidance & patient status reviews for admissions on or after October 1, 2013. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medical-Review/Downloads/QAsforWebsitePosting_110413-v2-CLEAN.pdf. Accessed August 9, 2016.
1. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Fact sheet: 2-midnight rule. https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2015-Fact-sheets-items/2015-07-01-2.html. Published July 1, 2015. Accessed August 9, 2016.
2. Sheehy AM, Locke C, Engel JZ, et al. Recovery Audit Contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212-219. PubMed
3. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery auditing in Medicare for fiscal year 2014. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Recovery-Audit-Program/Downloads/RAC-RTC-FY2014.pdf. Accessed August 9, 2016.
4. American Hospital Association vs Burwell. No 15-5015. Circuit court decision. https://www.cadc.uscourts.gov/internet/opinions.nsf/CDFE9734F0D36C2185257F540052A39D/$file/15-5015-1597907.pdf. Decided February 9, 2016. Accessed August 9, 2016
5. AMA news: Payment recovery audit program needs overhaul: Doctors to CMS. https://wire.ama-assn.org/ama-news/payment-recovery-audit-program-needs-overhaul-doctors-cms. Accessed March 17, 2017.
6. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital services covered under Part A. In: Medicare Benefit Policy Manual. Chapter 1. Publication 100-02. https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/downloads/bp102c01.pdf. Accessed August 9, 2016.
7. Griswold NJ; Office of Medicare Hearings and Appeals, US Dept of Health and Human Services. Memorandum to OMHA Medicare appellants. http://www.modernhealthcare.com/assets/pdf/CH92573110.pdf. Accessed August 9, 2016.
8. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Inpatient hospital reviews. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medicare-FFS-Compliance-Programs/Medical-Review/InpatientHospitalReviews.html. Accessed August 9, 2016.
9. Galewitz P. CMS identifies hospitals paid nearly $1.5B in 2015 Medicare billing settlement. Kaiser Health News. http://khn.org/news/cms-identifies-hospitals-paid-nearly-1-5b-in-2015-medicare-billing-settlement/. Published August 23, 2016. Accessed October 14, 2016.
10. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Recovery audit program improvements. https://www.cms.gov/research-statistics-data-and-systems/monitoring-programs/medicare-ffs-compliance-programs/recovery-audit-program/downloads/RAC-program-improvements.pdf. Accessed August 9, 2016.
11. US Government Accountability Office. Medicare Fee-for-Service: Opportunities Remain to Improve Appeals Process. http://www.gao.gov/assets/680/677034.pdf. Publication GAO-16-366. Published May 10, 2016. Accessed August 9, 2016.
12. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Changes to the Medicare Claims and Entitlement, Medicare Advantage Organization Determination, and Medicare Prescription Drug Coverage Determination Appeals Procedures. https://www.gpo.gov/fdsys/pkg/FR-2016-07-05/pdf/2016-15192.pdf. Accessed August 9, 2016.
13. Departmental Appeals Board, US Dept of Health and Human Services. Action and Order of Medicare Appeals Council: in the case of O’Connor Hospital. http://www.hhs.gov/dab/divisions/medicareoperations/macdecisions/oconnorhospital.pdf. Accessed August 9, 2016.
14. Centers for Medicare & Medicaid Services, US Dept of Health and Human Services. Frequently asked questions: 2 midnight inpatient admission guidance & patient status reviews for admissions on or after October 1, 2013. https://www.cms.gov/Research-Statistics-Data-and-Systems/Monitoring-Programs/Medical-Review/Downloads/QAsforWebsitePosting_110413-v2-CLEAN.pdf. Accessed August 9, 2016.
© 2017 Society of Hospital Medicine
Medicare and the 3-inpatient midnight requirement: A statute in need of modernization
On July 30, 1965, Lyndon B. Johnson signed H.R. 6675 into law, establishing Medicare and Medicaid as Title XVIII and Title XIX of the Social Security Act.1 Shortly after, Medicare’s “extended care benefit” began, offering Medicare beneficiaries skilled nursing facility (SNF) care after a qualifying stay of 3 or more consecutive inpatient midnights.2 Fifty years later, the word “inpatient” remains embedded in statute, limiting SNF coverage for Medicare beneficiaries hospitalized as outpatients under observation for part or all of a 3-midnight stay.3
At the individual Medicare beneficiary level, the financial impact of this policy is clear. The Office of Inspector General (OIG) reported a $10,503 beneficiary out-of-pocket cost per uncovered SNF stay following an observation hospitalization in 2012.4 But the actual number of Medicare beneficiaries impacted by this coverage gap is unknown. Using 2009 claims data, Feng et al.5 estimated that 0.75% of previously community dwelling Medicare beneficiaries are discharged to a SNF following an observation hospitalization, and the OIG reported 617,702 beneficiary hospital stays of 3 or more midnights not meeting the 3-midnight inpatient requirement in 2012, with 4% of these beneficiaries discharging to SNFs.4 Yet these studies based on Medicare claims data only capture actual SNF utilization, failing to answer the critical question: How many Medicare beneficiaries need, but forgo, SNF care following a non-qualifying observation hospital stay? In this issue of the Journal of Hospital Medicine, Goldstein et al.6 provide insight to that question. Using chart review of physical therapy and case management recommendations for post-acute SNF care, Goldstein et al.6 compare actual discharge rate to SNF or acute inpatient rehabilitation following an observation stay when such disposition is recommended. In their two-hospital system, fewer than 20% of previously community-dwelling hospitalist patients followed recommendation for post-acute facility stay after observation hospitalization, and more than 40% cited financial concerns as the reason for declining. Patients recommended for SNF also were more likely to be rehospitalized in the subsequent 30 days after discharge, confirming this as a vulnerable patient population. Given Medicare’s original intent to improve health care access for seniors, the case for change seems clear, and the repercussions of not addressing the plight of patients hospitalized under observation is having negative financial and overall detrimental health impacts.
But there are other compelling reasons why this 50-year-old law needs to be improved. Hospital care today is vastly different than when Medicare became law. Average hospital length of stay for patients 65 years and older was 14.2 days in 19657 compared to 5.2 days today,8 clearly a shift in what 3 days of hospital care means. Most importantly, observation stays have become a major part of hospital care. Between 2006 and 2014, per-beneficiary outpatient visits (which include all observation stays) increased 44.2% nationally, while inpatient discharges decreased 19.9%.9 In 2012, the Centers for Medicare & Medicaid Services (CMS) received 1.7 million outpatient observation claims and an additional 700,000 inpatient claims that started with observation days.10 CMS also expected the 2-midnight rule to reduce outpatient observation stays,4 but a recent OIG report11 found that outpatient stays increased 8.1% in the first year (FY 2014) under the new rule, and there were still 748,337 long observation stays (those lasting 2 midnights or longer) in 2014, only a small (2.8%) decrease from the prior year. These factors limit Medicare beneficiary post–acute SNF eligibility in ways that could not have been anticipated when the extended care benefit was created to help seniors access needed health care.
Policymakers must consider cost when considering statutory change. Waiver programs in the 1980s suspending the 3-midnight requirement raised concerns over potential increase in both SNF utilization and associated costs.12 However, more recent data suggest that altering the 3-midnight requirement may not increase post-acute SNF utilization. From 2006 to 2010, Medicare Advantage programs that waived the 3-midnight requirement saw a decrease in hospital length of stay without increased SNF utilization or SNF length of stay, indicating that access to the right level of care at the right time could be cost-saving.13 Recent data from the Bundled Payments for Care Improvement (BPCI) program found savings were largely related to decreased SNF utilization when payments were episode-based,14 a trend that may continue as Medicare moves away from fee-for-service towards bundled payments for more conditions. And although neither example directly tests changing the 3-midnight requirement to include observation midnights, both studies suggest that innovative health care delivery and modification of SNF access did not result in increased SNF utilization or greater post-acute costs. In fact, as Goldstein et al.6 showed, patients recommended for post-acute SNF following observation stay were more likely to be rehospitalized within 30 days, an additional cost that could potentially be avoided if these patients had SNF access. We believe that these correlations strongly support rescinding the 3-
That being said, what can be done? In 2015, the Medicare Payment Advisory Commission (MedPAC) recommended changing the 3-night requirement to require just one of 3 midnights to be inpatient to make a qualifying stay.10 Although an improvement over current law, this proposal would not help the majority of beneficiaries who are exclusively hospitalized under observation status. The “Improving Access to Medicare Coverage Act of 2015”, to be reintroduced in Congress in the coming weeks, would count any midnight spent in the hospital towards the 3-midnight stay requirement, and has bipartisan, bicameral support and cosponsorship.15 In 2015, through unanimous bipartisan, bicameral support, Congress passed the NOTICE Act (PL 114-42), which requires hospitals to inform Medicare beneficiaries hospitalized under observation.16 We believe that the data are clear to both sides of the aisle that Congress should now work together using scientifically-supported research to improve the exact observation policies they felt patients should be informed of. Passing the Improving Access to Medicare Coverage Act is the logical next step in this arena.
Medicare was intended to give seniors access to the healthcare they need. Growth in hospital-based observation care begs for modernization of the statutory 3-inpatient midnight rule. Counting all midnights towards the 3-midnight requirement, whether those midnights are outpatient observation or inpatient, is the right first step.
Disclosures
Representative Courtney is the bill sponsor of the Improving Access to Medicare Coverage Act. The authors report no other conflicts.
1. Medicare & Medicaid Milestones 1937-2015. https://www.cms.gov/About-CMS/Agency-Information/History/Downloads/Medicare-and-Medicaid-Milestones-1937-2015.pdf . Accessed September 25, 2016.
2. Loewenstein R. Early effects of Medicare on the health care of the aged. https://www.ssa.gov/policy/docs/ssb/v34n4/v34n4p3.pdf. Accessed September 25, 2016.
3. US Social Security Act, Sec. 1861 (i). [42 U.S.C. 1395x]. https://www.ssa.gov/OP_Home/ssact/title18/1861.htm. Accessed September 25, 2016.
4. Department of Health and Human Services Office of Inspector General. Hospitals’ use of observation stays and short inpatient stays for Medicare beneficiaries, OEI-02-12-00040. Available at: https://oig.hhs.gov/oei/reports/oei-02-12-00040.pdf. Accessed September 25, 2016.
5. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care 2014;52:796-800. PubMed
6. Goldstein JN, Schwartz JS, McGraw P, Banks TL, Hicks LS. The unmet need for postacute rehabilitation among medicare observation patients: a single-center study. J Hosp Med. 2017;12(3):168-172.
7. Vital and Health Statistics. Trends in hospital utilization: United States, 1965-1986. https://www.cdc.gov/nchs/data/series/sr_13/sr13_101.pdf. Accessed September 25, 2016.
8. Healthcare Cost and Utilization Project (HCUP). Statistical brief #180. Overview of hospital stays in the United States, 2012. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb180-Hospitalizations-United-States-2012.pdf. Accessed September 25, 2016.
9. MedPAC March 2016 Report to the Congress. Chapter 3. Hospital inpatient and outpatient services. http://www.medpac.gov/docs/default-source/reports/march-2016-report-to-the-congress-medicare-payment-policy.pdf?sfvrsn=0. Accessed September 25, 2016.
10. MedPAC. June 2015 Report to the Congress. Chapter 7: Hospital short-stay policy issues. http://www.medpac.gov/docs/default-source/reports/chapter-7-hospital-short-stay-policy-issues-june-2015-report-.pdf?sfvrsn=0 Accessed September 25, 2016.
11. Department of Health and Human Services Office of Inspector General. Vulnerabilities remain under Medicare’s 2-midnight hospital policy, OEI-02-15-00020. https://oig.hhs.gov/oei/reports/oei-02-15-00020.pdf. Accessed February 19, 2017.
12. Lipsitz L. The 3-night hospital stay and Medicare coverage for skilled nursing care. JAMA. 2013;310: 1441-1442. PubMed
13. Grebela R, Keohane L Lee Y, Lipsitz L, Rahman M, Trevedi A. Waiving the three-day rule: admissions and length-of-stay at hospitals and skilled nursing facilities did not increase. Health Affairs. 2015;34:1324-1330. PubMed
14. Dummit L, Kahvecioglu D, Marrufo G, et al. Association between hospital participation in a Medicare bundled payment initiative and payments and quality outcomes for lower extremity joint replacement episodes. JAMA. 2016;316(12):1267-1278. PubMed
15. HR. 1571 Improving Access to Medicare Coverage Act of 2015. https://www.govtrack.us/congress/bills/114/hr1571/text. Accessed September 25, 2016.
16. PL 114-42. The NOTICE Act. https://www.govtrack.us/congress/bills/114/hr876. Accessed September 25, 2016.
On July 30, 1965, Lyndon B. Johnson signed H.R. 6675 into law, establishing Medicare and Medicaid as Title XVIII and Title XIX of the Social Security Act.1 Shortly after, Medicare’s “extended care benefit” began, offering Medicare beneficiaries skilled nursing facility (SNF) care after a qualifying stay of 3 or more consecutive inpatient midnights.2 Fifty years later, the word “inpatient” remains embedded in statute, limiting SNF coverage for Medicare beneficiaries hospitalized as outpatients under observation for part or all of a 3-midnight stay.3
At the individual Medicare beneficiary level, the financial impact of this policy is clear. The Office of Inspector General (OIG) reported a $10,503 beneficiary out-of-pocket cost per uncovered SNF stay following an observation hospitalization in 2012.4 But the actual number of Medicare beneficiaries impacted by this coverage gap is unknown. Using 2009 claims data, Feng et al.5 estimated that 0.75% of previously community dwelling Medicare beneficiaries are discharged to a SNF following an observation hospitalization, and the OIG reported 617,702 beneficiary hospital stays of 3 or more midnights not meeting the 3-midnight inpatient requirement in 2012, with 4% of these beneficiaries discharging to SNFs.4 Yet these studies based on Medicare claims data only capture actual SNF utilization, failing to answer the critical question: How many Medicare beneficiaries need, but forgo, SNF care following a non-qualifying observation hospital stay? In this issue of the Journal of Hospital Medicine, Goldstein et al.6 provide insight to that question. Using chart review of physical therapy and case management recommendations for post-acute SNF care, Goldstein et al.6 compare actual discharge rate to SNF or acute inpatient rehabilitation following an observation stay when such disposition is recommended. In their two-hospital system, fewer than 20% of previously community-dwelling hospitalist patients followed recommendation for post-acute facility stay after observation hospitalization, and more than 40% cited financial concerns as the reason for declining. Patients recommended for SNF also were more likely to be rehospitalized in the subsequent 30 days after discharge, confirming this as a vulnerable patient population. Given Medicare’s original intent to improve health care access for seniors, the case for change seems clear, and the repercussions of not addressing the plight of patients hospitalized under observation is having negative financial and overall detrimental health impacts.
But there are other compelling reasons why this 50-year-old law needs to be improved. Hospital care today is vastly different than when Medicare became law. Average hospital length of stay for patients 65 years and older was 14.2 days in 19657 compared to 5.2 days today,8 clearly a shift in what 3 days of hospital care means. Most importantly, observation stays have become a major part of hospital care. Between 2006 and 2014, per-beneficiary outpatient visits (which include all observation stays) increased 44.2% nationally, while inpatient discharges decreased 19.9%.9 In 2012, the Centers for Medicare & Medicaid Services (CMS) received 1.7 million outpatient observation claims and an additional 700,000 inpatient claims that started with observation days.10 CMS also expected the 2-midnight rule to reduce outpatient observation stays,4 but a recent OIG report11 found that outpatient stays increased 8.1% in the first year (FY 2014) under the new rule, and there were still 748,337 long observation stays (those lasting 2 midnights or longer) in 2014, only a small (2.8%) decrease from the prior year. These factors limit Medicare beneficiary post–acute SNF eligibility in ways that could not have been anticipated when the extended care benefit was created to help seniors access needed health care.
Policymakers must consider cost when considering statutory change. Waiver programs in the 1980s suspending the 3-midnight requirement raised concerns over potential increase in both SNF utilization and associated costs.12 However, more recent data suggest that altering the 3-midnight requirement may not increase post-acute SNF utilization. From 2006 to 2010, Medicare Advantage programs that waived the 3-midnight requirement saw a decrease in hospital length of stay without increased SNF utilization or SNF length of stay, indicating that access to the right level of care at the right time could be cost-saving.13 Recent data from the Bundled Payments for Care Improvement (BPCI) program found savings were largely related to decreased SNF utilization when payments were episode-based,14 a trend that may continue as Medicare moves away from fee-for-service towards bundled payments for more conditions. And although neither example directly tests changing the 3-midnight requirement to include observation midnights, both studies suggest that innovative health care delivery and modification of SNF access did not result in increased SNF utilization or greater post-acute costs. In fact, as Goldstein et al.6 showed, patients recommended for post-acute SNF following observation stay were more likely to be rehospitalized within 30 days, an additional cost that could potentially be avoided if these patients had SNF access. We believe that these correlations strongly support rescinding the 3-
That being said, what can be done? In 2015, the Medicare Payment Advisory Commission (MedPAC) recommended changing the 3-night requirement to require just one of 3 midnights to be inpatient to make a qualifying stay.10 Although an improvement over current law, this proposal would not help the majority of beneficiaries who are exclusively hospitalized under observation status. The “Improving Access to Medicare Coverage Act of 2015”, to be reintroduced in Congress in the coming weeks, would count any midnight spent in the hospital towards the 3-midnight stay requirement, and has bipartisan, bicameral support and cosponsorship.15 In 2015, through unanimous bipartisan, bicameral support, Congress passed the NOTICE Act (PL 114-42), which requires hospitals to inform Medicare beneficiaries hospitalized under observation.16 We believe that the data are clear to both sides of the aisle that Congress should now work together using scientifically-supported research to improve the exact observation policies they felt patients should be informed of. Passing the Improving Access to Medicare Coverage Act is the logical next step in this arena.
Medicare was intended to give seniors access to the healthcare they need. Growth in hospital-based observation care begs for modernization of the statutory 3-inpatient midnight rule. Counting all midnights towards the 3-midnight requirement, whether those midnights are outpatient observation or inpatient, is the right first step.
Disclosures
Representative Courtney is the bill sponsor of the Improving Access to Medicare Coverage Act. The authors report no other conflicts.
On July 30, 1965, Lyndon B. Johnson signed H.R. 6675 into law, establishing Medicare and Medicaid as Title XVIII and Title XIX of the Social Security Act.1 Shortly after, Medicare’s “extended care benefit” began, offering Medicare beneficiaries skilled nursing facility (SNF) care after a qualifying stay of 3 or more consecutive inpatient midnights.2 Fifty years later, the word “inpatient” remains embedded in statute, limiting SNF coverage for Medicare beneficiaries hospitalized as outpatients under observation for part or all of a 3-midnight stay.3
At the individual Medicare beneficiary level, the financial impact of this policy is clear. The Office of Inspector General (OIG) reported a $10,503 beneficiary out-of-pocket cost per uncovered SNF stay following an observation hospitalization in 2012.4 But the actual number of Medicare beneficiaries impacted by this coverage gap is unknown. Using 2009 claims data, Feng et al.5 estimated that 0.75% of previously community dwelling Medicare beneficiaries are discharged to a SNF following an observation hospitalization, and the OIG reported 617,702 beneficiary hospital stays of 3 or more midnights not meeting the 3-midnight inpatient requirement in 2012, with 4% of these beneficiaries discharging to SNFs.4 Yet these studies based on Medicare claims data only capture actual SNF utilization, failing to answer the critical question: How many Medicare beneficiaries need, but forgo, SNF care following a non-qualifying observation hospital stay? In this issue of the Journal of Hospital Medicine, Goldstein et al.6 provide insight to that question. Using chart review of physical therapy and case management recommendations for post-acute SNF care, Goldstein et al.6 compare actual discharge rate to SNF or acute inpatient rehabilitation following an observation stay when such disposition is recommended. In their two-hospital system, fewer than 20% of previously community-dwelling hospitalist patients followed recommendation for post-acute facility stay after observation hospitalization, and more than 40% cited financial concerns as the reason for declining. Patients recommended for SNF also were more likely to be rehospitalized in the subsequent 30 days after discharge, confirming this as a vulnerable patient population. Given Medicare’s original intent to improve health care access for seniors, the case for change seems clear, and the repercussions of not addressing the plight of patients hospitalized under observation is having negative financial and overall detrimental health impacts.
But there are other compelling reasons why this 50-year-old law needs to be improved. Hospital care today is vastly different than when Medicare became law. Average hospital length of stay for patients 65 years and older was 14.2 days in 19657 compared to 5.2 days today,8 clearly a shift in what 3 days of hospital care means. Most importantly, observation stays have become a major part of hospital care. Between 2006 and 2014, per-beneficiary outpatient visits (which include all observation stays) increased 44.2% nationally, while inpatient discharges decreased 19.9%.9 In 2012, the Centers for Medicare & Medicaid Services (CMS) received 1.7 million outpatient observation claims and an additional 700,000 inpatient claims that started with observation days.10 CMS also expected the 2-midnight rule to reduce outpatient observation stays,4 but a recent OIG report11 found that outpatient stays increased 8.1% in the first year (FY 2014) under the new rule, and there were still 748,337 long observation stays (those lasting 2 midnights or longer) in 2014, only a small (2.8%) decrease from the prior year. These factors limit Medicare beneficiary post–acute SNF eligibility in ways that could not have been anticipated when the extended care benefit was created to help seniors access needed health care.
Policymakers must consider cost when considering statutory change. Waiver programs in the 1980s suspending the 3-midnight requirement raised concerns over potential increase in both SNF utilization and associated costs.12 However, more recent data suggest that altering the 3-midnight requirement may not increase post-acute SNF utilization. From 2006 to 2010, Medicare Advantage programs that waived the 3-midnight requirement saw a decrease in hospital length of stay without increased SNF utilization or SNF length of stay, indicating that access to the right level of care at the right time could be cost-saving.13 Recent data from the Bundled Payments for Care Improvement (BPCI) program found savings were largely related to decreased SNF utilization when payments were episode-based,14 a trend that may continue as Medicare moves away from fee-for-service towards bundled payments for more conditions. And although neither example directly tests changing the 3-midnight requirement to include observation midnights, both studies suggest that innovative health care delivery and modification of SNF access did not result in increased SNF utilization or greater post-acute costs. In fact, as Goldstein et al.6 showed, patients recommended for post-acute SNF following observation stay were more likely to be rehospitalized within 30 days, an additional cost that could potentially be avoided if these patients had SNF access. We believe that these correlations strongly support rescinding the 3-
That being said, what can be done? In 2015, the Medicare Payment Advisory Commission (MedPAC) recommended changing the 3-night requirement to require just one of 3 midnights to be inpatient to make a qualifying stay.10 Although an improvement over current law, this proposal would not help the majority of beneficiaries who are exclusively hospitalized under observation status. The “Improving Access to Medicare Coverage Act of 2015”, to be reintroduced in Congress in the coming weeks, would count any midnight spent in the hospital towards the 3-midnight stay requirement, and has bipartisan, bicameral support and cosponsorship.15 In 2015, through unanimous bipartisan, bicameral support, Congress passed the NOTICE Act (PL 114-42), which requires hospitals to inform Medicare beneficiaries hospitalized under observation.16 We believe that the data are clear to both sides of the aisle that Congress should now work together using scientifically-supported research to improve the exact observation policies they felt patients should be informed of. Passing the Improving Access to Medicare Coverage Act is the logical next step in this arena.
Medicare was intended to give seniors access to the healthcare they need. Growth in hospital-based observation care begs for modernization of the statutory 3-inpatient midnight rule. Counting all midnights towards the 3-midnight requirement, whether those midnights are outpatient observation or inpatient, is the right first step.
Disclosures
Representative Courtney is the bill sponsor of the Improving Access to Medicare Coverage Act. The authors report no other conflicts.
1. Medicare & Medicaid Milestones 1937-2015. https://www.cms.gov/About-CMS/Agency-Information/History/Downloads/Medicare-and-Medicaid-Milestones-1937-2015.pdf . Accessed September 25, 2016.
2. Loewenstein R. Early effects of Medicare on the health care of the aged. https://www.ssa.gov/policy/docs/ssb/v34n4/v34n4p3.pdf. Accessed September 25, 2016.
3. US Social Security Act, Sec. 1861 (i). [42 U.S.C. 1395x]. https://www.ssa.gov/OP_Home/ssact/title18/1861.htm. Accessed September 25, 2016.
4. Department of Health and Human Services Office of Inspector General. Hospitals’ use of observation stays and short inpatient stays for Medicare beneficiaries, OEI-02-12-00040. Available at: https://oig.hhs.gov/oei/reports/oei-02-12-00040.pdf. Accessed September 25, 2016.
5. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care 2014;52:796-800. PubMed
6. Goldstein JN, Schwartz JS, McGraw P, Banks TL, Hicks LS. The unmet need for postacute rehabilitation among medicare observation patients: a single-center study. J Hosp Med. 2017;12(3):168-172.
7. Vital and Health Statistics. Trends in hospital utilization: United States, 1965-1986. https://www.cdc.gov/nchs/data/series/sr_13/sr13_101.pdf. Accessed September 25, 2016.
8. Healthcare Cost and Utilization Project (HCUP). Statistical brief #180. Overview of hospital stays in the United States, 2012. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb180-Hospitalizations-United-States-2012.pdf. Accessed September 25, 2016.
9. MedPAC March 2016 Report to the Congress. Chapter 3. Hospital inpatient and outpatient services. http://www.medpac.gov/docs/default-source/reports/march-2016-report-to-the-congress-medicare-payment-policy.pdf?sfvrsn=0. Accessed September 25, 2016.
10. MedPAC. June 2015 Report to the Congress. Chapter 7: Hospital short-stay policy issues. http://www.medpac.gov/docs/default-source/reports/chapter-7-hospital-short-stay-policy-issues-june-2015-report-.pdf?sfvrsn=0 Accessed September 25, 2016.
11. Department of Health and Human Services Office of Inspector General. Vulnerabilities remain under Medicare’s 2-midnight hospital policy, OEI-02-15-00020. https://oig.hhs.gov/oei/reports/oei-02-15-00020.pdf. Accessed February 19, 2017.
12. Lipsitz L. The 3-night hospital stay and Medicare coverage for skilled nursing care. JAMA. 2013;310: 1441-1442. PubMed
13. Grebela R, Keohane L Lee Y, Lipsitz L, Rahman M, Trevedi A. Waiving the three-day rule: admissions and length-of-stay at hospitals and skilled nursing facilities did not increase. Health Affairs. 2015;34:1324-1330. PubMed
14. Dummit L, Kahvecioglu D, Marrufo G, et al. Association between hospital participation in a Medicare bundled payment initiative and payments and quality outcomes for lower extremity joint replacement episodes. JAMA. 2016;316(12):1267-1278. PubMed
15. HR. 1571 Improving Access to Medicare Coverage Act of 2015. https://www.govtrack.us/congress/bills/114/hr1571/text. Accessed September 25, 2016.
16. PL 114-42. The NOTICE Act. https://www.govtrack.us/congress/bills/114/hr876. Accessed September 25, 2016.
1. Medicare & Medicaid Milestones 1937-2015. https://www.cms.gov/About-CMS/Agency-Information/History/Downloads/Medicare-and-Medicaid-Milestones-1937-2015.pdf . Accessed September 25, 2016.
2. Loewenstein R. Early effects of Medicare on the health care of the aged. https://www.ssa.gov/policy/docs/ssb/v34n4/v34n4p3.pdf. Accessed September 25, 2016.
3. US Social Security Act, Sec. 1861 (i). [42 U.S.C. 1395x]. https://www.ssa.gov/OP_Home/ssact/title18/1861.htm. Accessed September 25, 2016.
4. Department of Health and Human Services Office of Inspector General. Hospitals’ use of observation stays and short inpatient stays for Medicare beneficiaries, OEI-02-12-00040. Available at: https://oig.hhs.gov/oei/reports/oei-02-12-00040.pdf. Accessed September 25, 2016.
5. Feng Z, Jung H-Y, Wright B, Mor V. The origin and disposition of Medicare observation stays. Med Care 2014;52:796-800. PubMed
6. Goldstein JN, Schwartz JS, McGraw P, Banks TL, Hicks LS. The unmet need for postacute rehabilitation among medicare observation patients: a single-center study. J Hosp Med. 2017;12(3):168-172.
7. Vital and Health Statistics. Trends in hospital utilization: United States, 1965-1986. https://www.cdc.gov/nchs/data/series/sr_13/sr13_101.pdf. Accessed September 25, 2016.
8. Healthcare Cost and Utilization Project (HCUP). Statistical brief #180. Overview of hospital stays in the United States, 2012. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb180-Hospitalizations-United-States-2012.pdf. Accessed September 25, 2016.
9. MedPAC March 2016 Report to the Congress. Chapter 3. Hospital inpatient and outpatient services. http://www.medpac.gov/docs/default-source/reports/march-2016-report-to-the-congress-medicare-payment-policy.pdf?sfvrsn=0. Accessed September 25, 2016.
10. MedPAC. June 2015 Report to the Congress. Chapter 7: Hospital short-stay policy issues. http://www.medpac.gov/docs/default-source/reports/chapter-7-hospital-short-stay-policy-issues-june-2015-report-.pdf?sfvrsn=0 Accessed September 25, 2016.
11. Department of Health and Human Services Office of Inspector General. Vulnerabilities remain under Medicare’s 2-midnight hospital policy, OEI-02-15-00020. https://oig.hhs.gov/oei/reports/oei-02-15-00020.pdf. Accessed February 19, 2017.
12. Lipsitz L. The 3-night hospital stay and Medicare coverage for skilled nursing care. JAMA. 2013;310: 1441-1442. PubMed
13. Grebela R, Keohane L Lee Y, Lipsitz L, Rahman M, Trevedi A. Waiving the three-day rule: admissions and length-of-stay at hospitals and skilled nursing facilities did not increase. Health Affairs. 2015;34:1324-1330. PubMed
14. Dummit L, Kahvecioglu D, Marrufo G, et al. Association between hospital participation in a Medicare bundled payment initiative and payments and quality outcomes for lower extremity joint replacement episodes. JAMA. 2016;316(12):1267-1278. PubMed
15. HR. 1571 Improving Access to Medicare Coverage Act of 2015. https://www.govtrack.us/congress/bills/114/hr1571/text. Accessed September 25, 2016.
16. PL 114-42. The NOTICE Act. https://www.govtrack.us/congress/bills/114/hr876. Accessed September 25, 2016.
© 2017 Society of Hospital Medicine
Medicare Observation Stay Liability
The problems surrounding hospital observation care and associated audits by Recovery Audit Contractors are gaining increased attention from both Congress and the Centers for Medicare & Medicaid Services (CMS).[1, 2, 3, 4, 5] On August 6, 2015, President Obama signed the NOTICE (Notice of Observation Treatment and Implication for Care Eligibility) Act (P.L. 114‐42),[4] which will require all Medicare beneficiaries receiving observation services for over 24 hours to be informed of their outpatient status. However, providers and hospitals are currently unable to answer a question that patients will certainly ask: What will an observation stay cost me compared to the same stay billed as an inpatient?
In this issue of the Journal of Hospital Medicine, Kangovi et al.[6] get a step closer to answering this question. Using 2010 to 2012 Medicare data, Kangovi and colleagues studied patient out‐of‐pocket costs per Medicare benefit period and found that the mean financial self‐pay cost per beneficiary observation stay was less ($469.42) than the 2010 inpatient deductible ($1100),[7] although about 1 in 10 observation stays exceeded the inpatient deductible. For beneficiaries with multiple observation stays per benefit period, the mean cumulative self‐pay cost ($947.40) was also less than the inpatient deductible. However, for over a quarter of beneficiaries with multiple observation stays, the cumulative patient cost exceeded the inpatient deductible. The authors also found that black beneficiaries and those with more comorbidities were more likely to have multiple observation visits per benefit period, but higher out‐of‐pocket observation liability was associated with nonblack race, lower number of chronic conditions, and not being dual eligible.
Medicare beneficiaries hospitalized as inpatients are covered by Medicare Part A, with a single deductible per benefit period, and are eligible for skilled nursing facility (SNF) coverage after 3 consecutive inpatient midnights. Medicare patients hospitalized as outpatients, including those receiving observation services, are not eligible for SNF coverage, must pay the cost of many self‐administered pharmaceuticals, and are generally responsible for 20% of each service rendered, but with the per‐service out‐of‐pocket 20% deductible capped at the equivalent to the current Part A deductible. However, there is no cumulative limit on the total out‐of‐pocket cost for outpatient observation (Part B) hospitalizations.[8]
Put in a slightly different way, while [outpatient coverage] is designed to reflect the cost of caring for each individual beneficiary, [inpatient payment structure] is designed to reflect the cost of caring for an average beneficiary.[9] Because outpatient observation payments are made per service, Medicare and beneficiary payment amounts both increase as the number of services provided increases,[9] which creates a threshold where the number and complexity of outpatient services exceeds the average inpatient stay, resulting in out‐of‐pocket observation costs exceeding the inpatient deductible. It makes sense that this threshold is more likely to be reached when the costs of multiple observation stays are added. Therefore, we should not be surprised at the findings of Kangovi et al.,[6] nor at those of the Office of Inspector General (OIG)[9] using 2012 Medicare claims data, showing higher average out‐of‐pocket patient costs for short inpatient stays compared to observation stays, but with a significant minority of out‐of‐pocket observation patient stay costs exceeding the inpatient deductible.
Dr. Kangovi and colleagues should be applauded for their efforts to address this important Medicare beneficiary issue. Yet many questions remain. First, neither the OIG study nor Kangovi et al. fully included cost of self‐administered medications in calculating patients' out‐of‐pocket patient liability. Second, Kangovi and colleagues did not account for beneficiary posthospitalization SNF costs, which would be substantially higher for any patients who did not have a qualifying 3‐day inpatient stay, including all patients hospitalized under observation. Third, both reports used data predating the 2‐midnight rule, so it is unlikely that beneficiary costs are comparable under current policy. Fewer long (>48 hours) observation stays under the 2‐midnight rule should reduce beneficiary financial burden, though this is unconfirmed. However, certain shorter, high‐acuity, procedure‐based observation stays could be more costly for patients.[9] Fourth, Kangovi et al. also did not consider patients with both an inpatient stay and an observation stay in the same benefit period; these patients would be liable for both the inpatient deductible and the outpatient fees. Fifth, to be meaningful, comparison of beneficiary out‐of‐pocket liability for inpatient versus outpatient care must occur in the context of services rendered, similar to what was proposed by the House Ways and Means Subcommittee in their Hospital Improvements for Payment draft bill.[10] Absent this, we should not conclude from this study that observation care is delivered at a discounted rate for patients when it is possible that lower out‐of‐pocket payments simply reflect, on average, fewer services rendered per observation stay when compared to an inpatient stay. Finally, the association between race, socioeconomic status, chronic conditions, and inpatient and observation stays merits further investigation. How such hospitalizations may relate to larger costs associated with lack of appropriate follow‐up care, including costs for those who have adverse consequences when they curtail or forego SNF placement, must be considered.
Even if we accept these limitations and accede that out‐of‐pocket observation cost is, on average, less than inpatient, pitfalls of observation policy remain: a cap on out‐of‐pocket financial risk for hospital care and SNF coverage are protections only afforded to those Medicare beneficiaries hospitalized as inpatients. Although the aspect of CMS' 2‐midnight rule that presumes inpatient status if a there is a physician's expectation of a medically necessary hospitalization of 2 or more midnights mitigates, but does not eliminate, the observation policy problem of uncapped out‐of‐pocket financial liability, it does not address the lack of SNF coverage following outpatient hospitalization. Further action and answers need to come from both Congress and CMS. At a recent Senate Special Committee on Aging hearing, Elizabeth Warren emphasized that CMS must accurately determine Medicare beneficiary out‐of‐pocket cost for observation care so providers can answer this question that patients undoubtedly ask.[1] CMS should be called upon to make available estimates of beneficiary costs under the 2‐midnight rule that include pharmacy charges, copayments (in the context of services rendered), and SNF costs. In addition, data should extend past beneficiary liability to detail differences in outpatient versus inpatient hospital reimbursement, systematic recovery auditing costs, and the total financial impact of maintaining 2 distinct (inpatient and outpatient) hospital reimbursement systems.[11, 12]
Congress and CMS must ultimately go beyond cost estimates and actually reform the core problems in outpatient observation policy and the Recovery Audit program charged with enforcing status determinations. Congress should pass the Improving Access to Medicare Coverage Act of 2015 (H.R. 1571 and S. 843), which would guarantee SNF coverage for Medicare beneficiaries hospitalized for 3 consecutive midnights, regardless of whether those nights are inpatient or outpatient.[13] Recovery Audit reform bills in the House (H.R. 2156)[3] and under consideration in the Senate[2] should be strongly supported. In addition, Congress and CMS should consider legislation or regulation that would cap outpatient hospitalization out‐of‐pocket liability at the inpatient Medicare beneficiary deductible. Alternatively, policymakers could finally recognize the current observation versus inpatient system for what it is: a payment structure with little clinical relevance. When the same exact medical care has 2 different hospital reimbursement rates and 2 different patient out‐of‐pocket financial liabilities, it may be time for policymakers to eliminate the false distinction altogether.
Disclosure: Nothing to report.
- Senate Special Committee on Aging hearing: challenging the status quo: solutions to the hospital observation stay crisis. May 20, 2015. Available at: http://www.aging.senate.gov/hearings/challenging‐the‐status‐quo_solutions‐to‐the‐hospital‐observation‐stay‐crisis. Accessed July 1, 2015.
- Senate Finance Committee Open Executive Session to consider an original bill entitled Audit 10(11):718–723.
- Medicare general information, eligibility, and entitlement. Chapter 3—deductibles, coninsurance amounts, and payment limitations. Available at: http://www.cms.gov/Regulations‐and‐Guidance/Guidance/Manuals/downloads/ge101c03.pdf. Accessed July 5, 2015.
- What Medicare covers: find out if you're an inpatient or an outpatient—it affects what you pay. Available at: http://www.medicare.gov/what‐medicare‐covers/part‐a/inpatient‐or‐outpatient.html. Accessed July 10, 2015.
- Department of Health and Human Services. Office of Inspector General. Hospitals' use of observation stays and short inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. July 29, 2013. Available at: https://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed July 1, 2015.
- Association of American Medical Colleges. Washington Highlights: Ways and Means Committee releases Medicare hospital bill. Available at: https://www.aamc.org/advocacy/washhigh/highlights2014/415486/112114waysandmeanscommitteereleasesmedicarehospitalbill.html. Accessed July 10, 2015.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Recovery audit contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212–219. , , , et al.
- Improving Access to Medicare Coverage Act of 2015 (H.R. 1571/S. 843). Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed July 6, 2015.
The problems surrounding hospital observation care and associated audits by Recovery Audit Contractors are gaining increased attention from both Congress and the Centers for Medicare & Medicaid Services (CMS).[1, 2, 3, 4, 5] On August 6, 2015, President Obama signed the NOTICE (Notice of Observation Treatment and Implication for Care Eligibility) Act (P.L. 114‐42),[4] which will require all Medicare beneficiaries receiving observation services for over 24 hours to be informed of their outpatient status. However, providers and hospitals are currently unable to answer a question that patients will certainly ask: What will an observation stay cost me compared to the same stay billed as an inpatient?
In this issue of the Journal of Hospital Medicine, Kangovi et al.[6] get a step closer to answering this question. Using 2010 to 2012 Medicare data, Kangovi and colleagues studied patient out‐of‐pocket costs per Medicare benefit period and found that the mean financial self‐pay cost per beneficiary observation stay was less ($469.42) than the 2010 inpatient deductible ($1100),[7] although about 1 in 10 observation stays exceeded the inpatient deductible. For beneficiaries with multiple observation stays per benefit period, the mean cumulative self‐pay cost ($947.40) was also less than the inpatient deductible. However, for over a quarter of beneficiaries with multiple observation stays, the cumulative patient cost exceeded the inpatient deductible. The authors also found that black beneficiaries and those with more comorbidities were more likely to have multiple observation visits per benefit period, but higher out‐of‐pocket observation liability was associated with nonblack race, lower number of chronic conditions, and not being dual eligible.
Medicare beneficiaries hospitalized as inpatients are covered by Medicare Part A, with a single deductible per benefit period, and are eligible for skilled nursing facility (SNF) coverage after 3 consecutive inpatient midnights. Medicare patients hospitalized as outpatients, including those receiving observation services, are not eligible for SNF coverage, must pay the cost of many self‐administered pharmaceuticals, and are generally responsible for 20% of each service rendered, but with the per‐service out‐of‐pocket 20% deductible capped at the equivalent to the current Part A deductible. However, there is no cumulative limit on the total out‐of‐pocket cost for outpatient observation (Part B) hospitalizations.[8]
Put in a slightly different way, while [outpatient coverage] is designed to reflect the cost of caring for each individual beneficiary, [inpatient payment structure] is designed to reflect the cost of caring for an average beneficiary.[9] Because outpatient observation payments are made per service, Medicare and beneficiary payment amounts both increase as the number of services provided increases,[9] which creates a threshold where the number and complexity of outpatient services exceeds the average inpatient stay, resulting in out‐of‐pocket observation costs exceeding the inpatient deductible. It makes sense that this threshold is more likely to be reached when the costs of multiple observation stays are added. Therefore, we should not be surprised at the findings of Kangovi et al.,[6] nor at those of the Office of Inspector General (OIG)[9] using 2012 Medicare claims data, showing higher average out‐of‐pocket patient costs for short inpatient stays compared to observation stays, but with a significant minority of out‐of‐pocket observation patient stay costs exceeding the inpatient deductible.
Dr. Kangovi and colleagues should be applauded for their efforts to address this important Medicare beneficiary issue. Yet many questions remain. First, neither the OIG study nor Kangovi et al. fully included cost of self‐administered medications in calculating patients' out‐of‐pocket patient liability. Second, Kangovi and colleagues did not account for beneficiary posthospitalization SNF costs, which would be substantially higher for any patients who did not have a qualifying 3‐day inpatient stay, including all patients hospitalized under observation. Third, both reports used data predating the 2‐midnight rule, so it is unlikely that beneficiary costs are comparable under current policy. Fewer long (>48 hours) observation stays under the 2‐midnight rule should reduce beneficiary financial burden, though this is unconfirmed. However, certain shorter, high‐acuity, procedure‐based observation stays could be more costly for patients.[9] Fourth, Kangovi et al. also did not consider patients with both an inpatient stay and an observation stay in the same benefit period; these patients would be liable for both the inpatient deductible and the outpatient fees. Fifth, to be meaningful, comparison of beneficiary out‐of‐pocket liability for inpatient versus outpatient care must occur in the context of services rendered, similar to what was proposed by the House Ways and Means Subcommittee in their Hospital Improvements for Payment draft bill.[10] Absent this, we should not conclude from this study that observation care is delivered at a discounted rate for patients when it is possible that lower out‐of‐pocket payments simply reflect, on average, fewer services rendered per observation stay when compared to an inpatient stay. Finally, the association between race, socioeconomic status, chronic conditions, and inpatient and observation stays merits further investigation. How such hospitalizations may relate to larger costs associated with lack of appropriate follow‐up care, including costs for those who have adverse consequences when they curtail or forego SNF placement, must be considered.
Even if we accept these limitations and accede that out‐of‐pocket observation cost is, on average, less than inpatient, pitfalls of observation policy remain: a cap on out‐of‐pocket financial risk for hospital care and SNF coverage are protections only afforded to those Medicare beneficiaries hospitalized as inpatients. Although the aspect of CMS' 2‐midnight rule that presumes inpatient status if a there is a physician's expectation of a medically necessary hospitalization of 2 or more midnights mitigates, but does not eliminate, the observation policy problem of uncapped out‐of‐pocket financial liability, it does not address the lack of SNF coverage following outpatient hospitalization. Further action and answers need to come from both Congress and CMS. At a recent Senate Special Committee on Aging hearing, Elizabeth Warren emphasized that CMS must accurately determine Medicare beneficiary out‐of‐pocket cost for observation care so providers can answer this question that patients undoubtedly ask.[1] CMS should be called upon to make available estimates of beneficiary costs under the 2‐midnight rule that include pharmacy charges, copayments (in the context of services rendered), and SNF costs. In addition, data should extend past beneficiary liability to detail differences in outpatient versus inpatient hospital reimbursement, systematic recovery auditing costs, and the total financial impact of maintaining 2 distinct (inpatient and outpatient) hospital reimbursement systems.[11, 12]
Congress and CMS must ultimately go beyond cost estimates and actually reform the core problems in outpatient observation policy and the Recovery Audit program charged with enforcing status determinations. Congress should pass the Improving Access to Medicare Coverage Act of 2015 (H.R. 1571 and S. 843), which would guarantee SNF coverage for Medicare beneficiaries hospitalized for 3 consecutive midnights, regardless of whether those nights are inpatient or outpatient.[13] Recovery Audit reform bills in the House (H.R. 2156)[3] and under consideration in the Senate[2] should be strongly supported. In addition, Congress and CMS should consider legislation or regulation that would cap outpatient hospitalization out‐of‐pocket liability at the inpatient Medicare beneficiary deductible. Alternatively, policymakers could finally recognize the current observation versus inpatient system for what it is: a payment structure with little clinical relevance. When the same exact medical care has 2 different hospital reimbursement rates and 2 different patient out‐of‐pocket financial liabilities, it may be time for policymakers to eliminate the false distinction altogether.
Disclosure: Nothing to report.
The problems surrounding hospital observation care and associated audits by Recovery Audit Contractors are gaining increased attention from both Congress and the Centers for Medicare & Medicaid Services (CMS).[1, 2, 3, 4, 5] On August 6, 2015, President Obama signed the NOTICE (Notice of Observation Treatment and Implication for Care Eligibility) Act (P.L. 114‐42),[4] which will require all Medicare beneficiaries receiving observation services for over 24 hours to be informed of their outpatient status. However, providers and hospitals are currently unable to answer a question that patients will certainly ask: What will an observation stay cost me compared to the same stay billed as an inpatient?
In this issue of the Journal of Hospital Medicine, Kangovi et al.[6] get a step closer to answering this question. Using 2010 to 2012 Medicare data, Kangovi and colleagues studied patient out‐of‐pocket costs per Medicare benefit period and found that the mean financial self‐pay cost per beneficiary observation stay was less ($469.42) than the 2010 inpatient deductible ($1100),[7] although about 1 in 10 observation stays exceeded the inpatient deductible. For beneficiaries with multiple observation stays per benefit period, the mean cumulative self‐pay cost ($947.40) was also less than the inpatient deductible. However, for over a quarter of beneficiaries with multiple observation stays, the cumulative patient cost exceeded the inpatient deductible. The authors also found that black beneficiaries and those with more comorbidities were more likely to have multiple observation visits per benefit period, but higher out‐of‐pocket observation liability was associated with nonblack race, lower number of chronic conditions, and not being dual eligible.
Medicare beneficiaries hospitalized as inpatients are covered by Medicare Part A, with a single deductible per benefit period, and are eligible for skilled nursing facility (SNF) coverage after 3 consecutive inpatient midnights. Medicare patients hospitalized as outpatients, including those receiving observation services, are not eligible for SNF coverage, must pay the cost of many self‐administered pharmaceuticals, and are generally responsible for 20% of each service rendered, but with the per‐service out‐of‐pocket 20% deductible capped at the equivalent to the current Part A deductible. However, there is no cumulative limit on the total out‐of‐pocket cost for outpatient observation (Part B) hospitalizations.[8]
Put in a slightly different way, while [outpatient coverage] is designed to reflect the cost of caring for each individual beneficiary, [inpatient payment structure] is designed to reflect the cost of caring for an average beneficiary.[9] Because outpatient observation payments are made per service, Medicare and beneficiary payment amounts both increase as the number of services provided increases,[9] which creates a threshold where the number and complexity of outpatient services exceeds the average inpatient stay, resulting in out‐of‐pocket observation costs exceeding the inpatient deductible. It makes sense that this threshold is more likely to be reached when the costs of multiple observation stays are added. Therefore, we should not be surprised at the findings of Kangovi et al.,[6] nor at those of the Office of Inspector General (OIG)[9] using 2012 Medicare claims data, showing higher average out‐of‐pocket patient costs for short inpatient stays compared to observation stays, but with a significant minority of out‐of‐pocket observation patient stay costs exceeding the inpatient deductible.
Dr. Kangovi and colleagues should be applauded for their efforts to address this important Medicare beneficiary issue. Yet many questions remain. First, neither the OIG study nor Kangovi et al. fully included cost of self‐administered medications in calculating patients' out‐of‐pocket patient liability. Second, Kangovi and colleagues did not account for beneficiary posthospitalization SNF costs, which would be substantially higher for any patients who did not have a qualifying 3‐day inpatient stay, including all patients hospitalized under observation. Third, both reports used data predating the 2‐midnight rule, so it is unlikely that beneficiary costs are comparable under current policy. Fewer long (>48 hours) observation stays under the 2‐midnight rule should reduce beneficiary financial burden, though this is unconfirmed. However, certain shorter, high‐acuity, procedure‐based observation stays could be more costly for patients.[9] Fourth, Kangovi et al. also did not consider patients with both an inpatient stay and an observation stay in the same benefit period; these patients would be liable for both the inpatient deductible and the outpatient fees. Fifth, to be meaningful, comparison of beneficiary out‐of‐pocket liability for inpatient versus outpatient care must occur in the context of services rendered, similar to what was proposed by the House Ways and Means Subcommittee in their Hospital Improvements for Payment draft bill.[10] Absent this, we should not conclude from this study that observation care is delivered at a discounted rate for patients when it is possible that lower out‐of‐pocket payments simply reflect, on average, fewer services rendered per observation stay when compared to an inpatient stay. Finally, the association between race, socioeconomic status, chronic conditions, and inpatient and observation stays merits further investigation. How such hospitalizations may relate to larger costs associated with lack of appropriate follow‐up care, including costs for those who have adverse consequences when they curtail or forego SNF placement, must be considered.
Even if we accept these limitations and accede that out‐of‐pocket observation cost is, on average, less than inpatient, pitfalls of observation policy remain: a cap on out‐of‐pocket financial risk for hospital care and SNF coverage are protections only afforded to those Medicare beneficiaries hospitalized as inpatients. Although the aspect of CMS' 2‐midnight rule that presumes inpatient status if a there is a physician's expectation of a medically necessary hospitalization of 2 or more midnights mitigates, but does not eliminate, the observation policy problem of uncapped out‐of‐pocket financial liability, it does not address the lack of SNF coverage following outpatient hospitalization. Further action and answers need to come from both Congress and CMS. At a recent Senate Special Committee on Aging hearing, Elizabeth Warren emphasized that CMS must accurately determine Medicare beneficiary out‐of‐pocket cost for observation care so providers can answer this question that patients undoubtedly ask.[1] CMS should be called upon to make available estimates of beneficiary costs under the 2‐midnight rule that include pharmacy charges, copayments (in the context of services rendered), and SNF costs. In addition, data should extend past beneficiary liability to detail differences in outpatient versus inpatient hospital reimbursement, systematic recovery auditing costs, and the total financial impact of maintaining 2 distinct (inpatient and outpatient) hospital reimbursement systems.[11, 12]
Congress and CMS must ultimately go beyond cost estimates and actually reform the core problems in outpatient observation policy and the Recovery Audit program charged with enforcing status determinations. Congress should pass the Improving Access to Medicare Coverage Act of 2015 (H.R. 1571 and S. 843), which would guarantee SNF coverage for Medicare beneficiaries hospitalized for 3 consecutive midnights, regardless of whether those nights are inpatient or outpatient.[13] Recovery Audit reform bills in the House (H.R. 2156)[3] and under consideration in the Senate[2] should be strongly supported. In addition, Congress and CMS should consider legislation or regulation that would cap outpatient hospitalization out‐of‐pocket liability at the inpatient Medicare beneficiary deductible. Alternatively, policymakers could finally recognize the current observation versus inpatient system for what it is: a payment structure with little clinical relevance. When the same exact medical care has 2 different hospital reimbursement rates and 2 different patient out‐of‐pocket financial liabilities, it may be time for policymakers to eliminate the false distinction altogether.
Disclosure: Nothing to report.
- Senate Special Committee on Aging hearing: challenging the status quo: solutions to the hospital observation stay crisis. May 20, 2015. Available at: http://www.aging.senate.gov/hearings/challenging‐the‐status‐quo_solutions‐to‐the‐hospital‐observation‐stay‐crisis. Accessed July 1, 2015.
- Senate Finance Committee Open Executive Session to consider an original bill entitled Audit 10(11):718–723.
- Medicare general information, eligibility, and entitlement. Chapter 3—deductibles, coninsurance amounts, and payment limitations. Available at: http://www.cms.gov/Regulations‐and‐Guidance/Guidance/Manuals/downloads/ge101c03.pdf. Accessed July 5, 2015.
- What Medicare covers: find out if you're an inpatient or an outpatient—it affects what you pay. Available at: http://www.medicare.gov/what‐medicare‐covers/part‐a/inpatient‐or‐outpatient.html. Accessed July 10, 2015.
- Department of Health and Human Services. Office of Inspector General. Hospitals' use of observation stays and short inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. July 29, 2013. Available at: https://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed July 1, 2015.
- Association of American Medical Colleges. Washington Highlights: Ways and Means Committee releases Medicare hospital bill. Available at: https://www.aamc.org/advocacy/washhigh/highlights2014/415486/112114waysandmeanscommitteereleasesmedicarehospitalbill.html. Accessed July 10, 2015.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Recovery audit contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212–219. , , , et al.
- Improving Access to Medicare Coverage Act of 2015 (H.R. 1571/S. 843). Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed July 6, 2015.
- Senate Special Committee on Aging hearing: challenging the status quo: solutions to the hospital observation stay crisis. May 20, 2015. Available at: http://www.aging.senate.gov/hearings/challenging‐the‐status‐quo_solutions‐to‐the‐hospital‐observation‐stay‐crisis. Accessed July 1, 2015.
- Senate Finance Committee Open Executive Session to consider an original bill entitled Audit 10(11):718–723.
- Medicare general information, eligibility, and entitlement. Chapter 3—deductibles, coninsurance amounts, and payment limitations. Available at: http://www.cms.gov/Regulations‐and‐Guidance/Guidance/Manuals/downloads/ge101c03.pdf. Accessed July 5, 2015.
- What Medicare covers: find out if you're an inpatient or an outpatient—it affects what you pay. Available at: http://www.medicare.gov/what‐medicare‐covers/part‐a/inpatient‐or‐outpatient.html. Accessed July 10, 2015.
- Department of Health and Human Services. Office of Inspector General. Hospitals' use of observation stays and short inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. July 29, 2013. Available at: https://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed July 1, 2015.
- Association of American Medical Colleges. Washington Highlights: Ways and Means Committee releases Medicare hospital bill. Available at: https://www.aamc.org/advocacy/washhigh/highlights2014/415486/112114waysandmeanscommitteereleasesmedicarehospitalbill.html. Accessed July 10, 2015.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Recovery audit contractor audits and appeals at three academic medical centers. J Hosp Med. 2015;10(4):212–219. , , , et al.
- Improving Access to Medicare Coverage Act of 2015 (H.R. 1571/S. 843). Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed July 6, 2015.
Gender and Hospital Medicine
From a new concept to 44,000 practitioners in just 18 years,[1] there is no doubt that the word hospitalist is synonymous with innovation, leadership, growth, and change. Yet 2 articles in this month's Journal of Hospital Medicine prove that even our new field faces age‐old problems. Although women comprise half of all academic hospitalist and general internal medicine faculty, Burden et al.[2] showed that female hospitalists are less likely than male hospitalists to be division or section heads of hospital medicine, speakers at national meetings, and first or last authors on both research publications and editorials. This is made more concerning given that women are more likely to choose academic hospital medicine careers,[3] as they represent one‐third of all hospitalists but half of the academic hospitalist workforce.[2, 3] Findings in general internal medicine were similar, except that equal numbers of women and men were national meeting speakers and first authors on research publications (but not editorials). Weaver et al.[4] shed even more light on this disparity, and found that female hospitalists made $14,581 less per year than their male counterparts, even after adjusting for relevant differences. Weaver and colleagues also found other gender‐specific differences: women worked more nights and had fewer billable encounters per hospitalist shift than men.
Unfortunately, these trends are not new or limited to hospital medicine. For decades, almost equal numbers of women and men have entered medical school,[5] yet women are under‐represented in high status specialties,[6] less likely to be first or senior authors on original research studies compared to men,[7] less likely to be promoted,[8] and women physicians are consistently paid less than men across specialties.[9, 10] Simple analyses have not yet explained these disparities. Compared with men, women have similar leadership aspirations[11, 12] and are at least as effective as leaders.[13, 14, 15] Yet equity has not been attained.
Implicit bias research suggests that gender stereotypes influence women at all career stages.[16, 17, 18] For example, an elegant study conducted by Correll et al. identified a motherhood penalty, where indicating membership in the elementary school parent‐teacher organization on one's curriculum vitae hurt women's chances of employment and pay, but actually helped men.[19] Gender stereotypes exist, even among those who do not support their content. The universal reinforcement of such stereotypes over time leads to implicit but prescriptive rules about how women and men should act.[20] In particular, communal behaviors, including being cooperative, kind, and understanding, are typically associated with women, and agentic behaviors, including being ambitious and acting as a leader, are considered appropriate for men.[21] This leads to the think leader, think male phenomena, where we automatically associate men with leadership and higher status tasks (like first authorship or speaker invitations).[22, 23] Furthermore, acting against the stereotype (eg, a woman showing anger[24] or negotiating for more pay[25] or a man showing sadness[26]) can negatively impact wage and employment. Expecting social censure for violating gender norms, women develop a fear of the backlash that alone may shape behavior such that women may not express interest in having a high salary or negotiate for a raise.[27, 28, 29]
The specific system and institutional barriers that prevent female hospitalists from receiving equal pay and opportunities for leadership are not known, but one can surmise they are similar to those found in other specialties.[10, 30, 31] The findings of the studies of Burden et al.[2] and Weaver et al.[4] invite investigation of new questions specific to hospital medicine. Why are women in hospital medicine working more night shifts? Does this impact leadership or scholarship opportunities? Why are women documenting less productivity? Are they spending more time with patients, as they do in other settings?[32] What influences their practice choice? We would like to believe that there is something about hospital medicine that can explain the gender differences identified in these 2 studies. However, these data should prompt a serious and thorough examination of our specialty. We must accept that despite being a new specialty and a change leader, hospital medicine may not have escaped systematic gender bias that constrains the full participation and advancement of women.
But we believe that hospitalistsinnovators and change leaders in medicinewill be spurred to action to address the possibility of gender inequities. We do not need to know all of the causes to begin to address disparities, of every type, on an individual, institutional, and national level. As individuals, we can acknowledge that there are implicit assumptions that influence our decision making. No matter how unintentional, and even conflicting with evidence, these assumptions can lead us to judge women as less capable leaders than men or to automatically envision a high salary for a woman and man as different amounts. However, these automatic gender biases function as habits of mind, so they can be broken like any other unwanted habit.[33] Institutionally, we can also hold ourselves accountable for transparency in mentorship, leadership, scholarship, promotions, and wages to ensure diverse representation. We should routinely examine our practices to ensure the equitable hiring, pay, and promotion of our workforce.[18] National organizations and their respective journals should actively pursue diverse representation in leadership and membership on boards and committees, award nominees and recipients, and opportunities for invited editorials. Hospital medicinebeing young, innovative, and committed to changeis uniquely well suited to lead the charge for workforce equity. We can, and will, show the rest of medicine how it is done.
Disclosure
Nothing to report.
- Society of Hospital Medicine. Milestones in the hospital medicine movement. Available at: http://www.hospitalmedicine.org/Web/About_SHM/Industry/shm_History.aspx. Accessed March 23, 2015.
- Gender disparities in leadership and scholarly productivity of academic hospitalists. J Hosp Med. 2015;10(X):000–000. , , , et al.
- Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7:402–410. , , , , .
- A matter of priorities? Exploring the persistent gender pay gap in hospital medicine. J Hosp Med. 2015;10(8):486–490. , , , .
- Association of American Medical Colleges. Table 1: medical students, selected years, 1965–2013. Available at: https://www.aamc.org/download/411782/data/2014_table1.pdf. Accessed March 23, 2015.
- Sex, role models, and specialty choices among graduates of US medical schools in 2006‐2008. J Am Coll Surg. 2014;218(3):345–352. , , , .
- The “Gender Gap” in authorship of academic medical literature—a 35‐year perspective. N Engl J Med. 2006;355(3):281–287. , , , et al.
- Women physicians in academic medicine. N Engl J Med. 2000;342(6):399–405. .
- Gender differences in the salaries of physician researchers. JAMA. 2012;307(22):2410–2417. , , , , , .
- The $16,819 pay gap for newly trained physicians: the unexplained trend of men earning more than women. Health Affairs. 2011;30(2):193–201. , , , .
- Experiencing the culture of academic medicine: gender matters, a national study. J Gen Intern Med. 2013;28(2):201–207. , , , , .
- Gender differences in academic advancement: patterns, causes, and potential solutions in one US College of Medicine. Acad Med. 2003;78(5):500–508. , , , et al.
- Faculty and staff members perceptions of effective leadership: are there differences between men and women leaders? Equity Excell Educ. 2003;36(1):71–81. .
- Transformational, transactional, and lasissez‐faire leadership styles: a meta‐analysis comparing women and men. Psychol Bull. 2003;129(4):569–591. , , .
- A qualitative study of faculty members' views of women chairs. J Womens Health (Larchmt). 2010;19(3):533–546. , , .
- Stuck in the out‐group: Jennifer can't grow up, Jane's invisible, and Janet's over the hill. J Womens Health (Larchmt). 2014;23(6):481–484. , .
- Women and the labyrinth of leadership. Harv Bus Rev. 2007;85(9):62–71. , .
- Interventions that affect gender bias in hiring: a systematic review. Acad Med. 2009;84(10):1440–1446. , , .
- Getting a job: is there a motherhood penalty? Am J Sociol. 2017;112(5):1297–1339. , , .
- Afraid of being “witchy with a ‘b’”: a qualitative study of how gender influences residents' experiences leading cardiopulmonary resuscitation. Acad Med. 2014;89(9):1276–1281. , , , , .
- The measurement of psychological androgyny. J Consult Clin Psychol. 1974;42:155–162. .
- Think manager—think male: A global phenomenon? J Organ Behav. 1996;17(1):33–41. , , , .
- Are leader stereotypes masculine? A meta‐analysis of three research paradigms. Psychol Bull. 2011;137(4):616–642. , , , .
- Can an angry woman get ahead? Status conferral, gender, and expression of emotion in the workplace. Psychol Sci. 2008;19(3):268–275. , .
- Social incentives for gender differences in the propensity to initiate negations: sometimes it does hurt to ask. Organ Behav Hum Decis Process 2007;103:84–103. , , .
- Anger and advancement versus sadness and subjugation: the effect of negative emotion expressions on social status conferral. J Pers Soc Psychol. 2001;80(1):86–94. .
- Battle of the sexes: gender stereotype confirmation and reactance in negotiations. J Pers Soc Psychol. 2001;80(6):942–958. , , .
- Prejudice toward female leaders: Backlash effects and women's impression management dilemma. Soc Personal Psychol Compass. 2010;4(10):807–820. , .
- Commentary: deconstructing gender difference. Acad Med. 2010;85(4):575–577. .
- Organizational climate and family life: how these factors affect the status of women faculty at one medical school. Acad Med. 2009;84(1):87–94. , , , .
- Survey results: a decade of change in professional life in cardiology: a 2008 report of the ACC women in cardiology council. J Am Coll Cardiol. 2008;52(25):2215–2226. , , , , , .
- Effect of physicians' gender on communication and consultation length: a systematic review and meta‐analysis. J Health Serv Res Policy. 2013;18:242–248. , , , , .
- The effect of an intervention to break the gender bias habit for faculty at one institution: a cluster randomized, controlled trial. Acad Med. 2015;90(2):221–230. , , , et al.
From a new concept to 44,000 practitioners in just 18 years,[1] there is no doubt that the word hospitalist is synonymous with innovation, leadership, growth, and change. Yet 2 articles in this month's Journal of Hospital Medicine prove that even our new field faces age‐old problems. Although women comprise half of all academic hospitalist and general internal medicine faculty, Burden et al.[2] showed that female hospitalists are less likely than male hospitalists to be division or section heads of hospital medicine, speakers at national meetings, and first or last authors on both research publications and editorials. This is made more concerning given that women are more likely to choose academic hospital medicine careers,[3] as they represent one‐third of all hospitalists but half of the academic hospitalist workforce.[2, 3] Findings in general internal medicine were similar, except that equal numbers of women and men were national meeting speakers and first authors on research publications (but not editorials). Weaver et al.[4] shed even more light on this disparity, and found that female hospitalists made $14,581 less per year than their male counterparts, even after adjusting for relevant differences. Weaver and colleagues also found other gender‐specific differences: women worked more nights and had fewer billable encounters per hospitalist shift than men.
Unfortunately, these trends are not new or limited to hospital medicine. For decades, almost equal numbers of women and men have entered medical school,[5] yet women are under‐represented in high status specialties,[6] less likely to be first or senior authors on original research studies compared to men,[7] less likely to be promoted,[8] and women physicians are consistently paid less than men across specialties.[9, 10] Simple analyses have not yet explained these disparities. Compared with men, women have similar leadership aspirations[11, 12] and are at least as effective as leaders.[13, 14, 15] Yet equity has not been attained.
Implicit bias research suggests that gender stereotypes influence women at all career stages.[16, 17, 18] For example, an elegant study conducted by Correll et al. identified a motherhood penalty, where indicating membership in the elementary school parent‐teacher organization on one's curriculum vitae hurt women's chances of employment and pay, but actually helped men.[19] Gender stereotypes exist, even among those who do not support their content. The universal reinforcement of such stereotypes over time leads to implicit but prescriptive rules about how women and men should act.[20] In particular, communal behaviors, including being cooperative, kind, and understanding, are typically associated with women, and agentic behaviors, including being ambitious and acting as a leader, are considered appropriate for men.[21] This leads to the think leader, think male phenomena, where we automatically associate men with leadership and higher status tasks (like first authorship or speaker invitations).[22, 23] Furthermore, acting against the stereotype (eg, a woman showing anger[24] or negotiating for more pay[25] or a man showing sadness[26]) can negatively impact wage and employment. Expecting social censure for violating gender norms, women develop a fear of the backlash that alone may shape behavior such that women may not express interest in having a high salary or negotiate for a raise.[27, 28, 29]
The specific system and institutional barriers that prevent female hospitalists from receiving equal pay and opportunities for leadership are not known, but one can surmise they are similar to those found in other specialties.[10, 30, 31] The findings of the studies of Burden et al.[2] and Weaver et al.[4] invite investigation of new questions specific to hospital medicine. Why are women in hospital medicine working more night shifts? Does this impact leadership or scholarship opportunities? Why are women documenting less productivity? Are they spending more time with patients, as they do in other settings?[32] What influences their practice choice? We would like to believe that there is something about hospital medicine that can explain the gender differences identified in these 2 studies. However, these data should prompt a serious and thorough examination of our specialty. We must accept that despite being a new specialty and a change leader, hospital medicine may not have escaped systematic gender bias that constrains the full participation and advancement of women.
But we believe that hospitalistsinnovators and change leaders in medicinewill be spurred to action to address the possibility of gender inequities. We do not need to know all of the causes to begin to address disparities, of every type, on an individual, institutional, and national level. As individuals, we can acknowledge that there are implicit assumptions that influence our decision making. No matter how unintentional, and even conflicting with evidence, these assumptions can lead us to judge women as less capable leaders than men or to automatically envision a high salary for a woman and man as different amounts. However, these automatic gender biases function as habits of mind, so they can be broken like any other unwanted habit.[33] Institutionally, we can also hold ourselves accountable for transparency in mentorship, leadership, scholarship, promotions, and wages to ensure diverse representation. We should routinely examine our practices to ensure the equitable hiring, pay, and promotion of our workforce.[18] National organizations and their respective journals should actively pursue diverse representation in leadership and membership on boards and committees, award nominees and recipients, and opportunities for invited editorials. Hospital medicinebeing young, innovative, and committed to changeis uniquely well suited to lead the charge for workforce equity. We can, and will, show the rest of medicine how it is done.
Disclosure
Nothing to report.
From a new concept to 44,000 practitioners in just 18 years,[1] there is no doubt that the word hospitalist is synonymous with innovation, leadership, growth, and change. Yet 2 articles in this month's Journal of Hospital Medicine prove that even our new field faces age‐old problems. Although women comprise half of all academic hospitalist and general internal medicine faculty, Burden et al.[2] showed that female hospitalists are less likely than male hospitalists to be division or section heads of hospital medicine, speakers at national meetings, and first or last authors on both research publications and editorials. This is made more concerning given that women are more likely to choose academic hospital medicine careers,[3] as they represent one‐third of all hospitalists but half of the academic hospitalist workforce.[2, 3] Findings in general internal medicine were similar, except that equal numbers of women and men were national meeting speakers and first authors on research publications (but not editorials). Weaver et al.[4] shed even more light on this disparity, and found that female hospitalists made $14,581 less per year than their male counterparts, even after adjusting for relevant differences. Weaver and colleagues also found other gender‐specific differences: women worked more nights and had fewer billable encounters per hospitalist shift than men.
Unfortunately, these trends are not new or limited to hospital medicine. For decades, almost equal numbers of women and men have entered medical school,[5] yet women are under‐represented in high status specialties,[6] less likely to be first or senior authors on original research studies compared to men,[7] less likely to be promoted,[8] and women physicians are consistently paid less than men across specialties.[9, 10] Simple analyses have not yet explained these disparities. Compared with men, women have similar leadership aspirations[11, 12] and are at least as effective as leaders.[13, 14, 15] Yet equity has not been attained.
Implicit bias research suggests that gender stereotypes influence women at all career stages.[16, 17, 18] For example, an elegant study conducted by Correll et al. identified a motherhood penalty, where indicating membership in the elementary school parent‐teacher organization on one's curriculum vitae hurt women's chances of employment and pay, but actually helped men.[19] Gender stereotypes exist, even among those who do not support their content. The universal reinforcement of such stereotypes over time leads to implicit but prescriptive rules about how women and men should act.[20] In particular, communal behaviors, including being cooperative, kind, and understanding, are typically associated with women, and agentic behaviors, including being ambitious and acting as a leader, are considered appropriate for men.[21] This leads to the think leader, think male phenomena, where we automatically associate men with leadership and higher status tasks (like first authorship or speaker invitations).[22, 23] Furthermore, acting against the stereotype (eg, a woman showing anger[24] or negotiating for more pay[25] or a man showing sadness[26]) can negatively impact wage and employment. Expecting social censure for violating gender norms, women develop a fear of the backlash that alone may shape behavior such that women may not express interest in having a high salary or negotiate for a raise.[27, 28, 29]
The specific system and institutional barriers that prevent female hospitalists from receiving equal pay and opportunities for leadership are not known, but one can surmise they are similar to those found in other specialties.[10, 30, 31] The findings of the studies of Burden et al.[2] and Weaver et al.[4] invite investigation of new questions specific to hospital medicine. Why are women in hospital medicine working more night shifts? Does this impact leadership or scholarship opportunities? Why are women documenting less productivity? Are they spending more time with patients, as they do in other settings?[32] What influences their practice choice? We would like to believe that there is something about hospital medicine that can explain the gender differences identified in these 2 studies. However, these data should prompt a serious and thorough examination of our specialty. We must accept that despite being a new specialty and a change leader, hospital medicine may not have escaped systematic gender bias that constrains the full participation and advancement of women.
But we believe that hospitalistsinnovators and change leaders in medicinewill be spurred to action to address the possibility of gender inequities. We do not need to know all of the causes to begin to address disparities, of every type, on an individual, institutional, and national level. As individuals, we can acknowledge that there are implicit assumptions that influence our decision making. No matter how unintentional, and even conflicting with evidence, these assumptions can lead us to judge women as less capable leaders than men or to automatically envision a high salary for a woman and man as different amounts. However, these automatic gender biases function as habits of mind, so they can be broken like any other unwanted habit.[33] Institutionally, we can also hold ourselves accountable for transparency in mentorship, leadership, scholarship, promotions, and wages to ensure diverse representation. We should routinely examine our practices to ensure the equitable hiring, pay, and promotion of our workforce.[18] National organizations and their respective journals should actively pursue diverse representation in leadership and membership on boards and committees, award nominees and recipients, and opportunities for invited editorials. Hospital medicinebeing young, innovative, and committed to changeis uniquely well suited to lead the charge for workforce equity. We can, and will, show the rest of medicine how it is done.
Disclosure
Nothing to report.
- Society of Hospital Medicine. Milestones in the hospital medicine movement. Available at: http://www.hospitalmedicine.org/Web/About_SHM/Industry/shm_History.aspx. Accessed March 23, 2015.
- Gender disparities in leadership and scholarly productivity of academic hospitalists. J Hosp Med. 2015;10(X):000–000. , , , et al.
- Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7:402–410. , , , , .
- A matter of priorities? Exploring the persistent gender pay gap in hospital medicine. J Hosp Med. 2015;10(8):486–490. , , , .
- Association of American Medical Colleges. Table 1: medical students, selected years, 1965–2013. Available at: https://www.aamc.org/download/411782/data/2014_table1.pdf. Accessed March 23, 2015.
- Sex, role models, and specialty choices among graduates of US medical schools in 2006‐2008. J Am Coll Surg. 2014;218(3):345–352. , , , .
- The “Gender Gap” in authorship of academic medical literature—a 35‐year perspective. N Engl J Med. 2006;355(3):281–287. , , , et al.
- Women physicians in academic medicine. N Engl J Med. 2000;342(6):399–405. .
- Gender differences in the salaries of physician researchers. JAMA. 2012;307(22):2410–2417. , , , , , .
- The $16,819 pay gap for newly trained physicians: the unexplained trend of men earning more than women. Health Affairs. 2011;30(2):193–201. , , , .
- Experiencing the culture of academic medicine: gender matters, a national study. J Gen Intern Med. 2013;28(2):201–207. , , , , .
- Gender differences in academic advancement: patterns, causes, and potential solutions in one US College of Medicine. Acad Med. 2003;78(5):500–508. , , , et al.
- Faculty and staff members perceptions of effective leadership: are there differences between men and women leaders? Equity Excell Educ. 2003;36(1):71–81. .
- Transformational, transactional, and lasissez‐faire leadership styles: a meta‐analysis comparing women and men. Psychol Bull. 2003;129(4):569–591. , , .
- A qualitative study of faculty members' views of women chairs. J Womens Health (Larchmt). 2010;19(3):533–546. , , .
- Stuck in the out‐group: Jennifer can't grow up, Jane's invisible, and Janet's over the hill. J Womens Health (Larchmt). 2014;23(6):481–484. , .
- Women and the labyrinth of leadership. Harv Bus Rev. 2007;85(9):62–71. , .
- Interventions that affect gender bias in hiring: a systematic review. Acad Med. 2009;84(10):1440–1446. , , .
- Getting a job: is there a motherhood penalty? Am J Sociol. 2017;112(5):1297–1339. , , .
- Afraid of being “witchy with a ‘b’”: a qualitative study of how gender influences residents' experiences leading cardiopulmonary resuscitation. Acad Med. 2014;89(9):1276–1281. , , , , .
- The measurement of psychological androgyny. J Consult Clin Psychol. 1974;42:155–162. .
- Think manager—think male: A global phenomenon? J Organ Behav. 1996;17(1):33–41. , , , .
- Are leader stereotypes masculine? A meta‐analysis of three research paradigms. Psychol Bull. 2011;137(4):616–642. , , , .
- Can an angry woman get ahead? Status conferral, gender, and expression of emotion in the workplace. Psychol Sci. 2008;19(3):268–275. , .
- Social incentives for gender differences in the propensity to initiate negations: sometimes it does hurt to ask. Organ Behav Hum Decis Process 2007;103:84–103. , , .
- Anger and advancement versus sadness and subjugation: the effect of negative emotion expressions on social status conferral. J Pers Soc Psychol. 2001;80(1):86–94. .
- Battle of the sexes: gender stereotype confirmation and reactance in negotiations. J Pers Soc Psychol. 2001;80(6):942–958. , , .
- Prejudice toward female leaders: Backlash effects and women's impression management dilemma. Soc Personal Psychol Compass. 2010;4(10):807–820. , .
- Commentary: deconstructing gender difference. Acad Med. 2010;85(4):575–577. .
- Organizational climate and family life: how these factors affect the status of women faculty at one medical school. Acad Med. 2009;84(1):87–94. , , , .
- Survey results: a decade of change in professional life in cardiology: a 2008 report of the ACC women in cardiology council. J Am Coll Cardiol. 2008;52(25):2215–2226. , , , , , .
- Effect of physicians' gender on communication and consultation length: a systematic review and meta‐analysis. J Health Serv Res Policy. 2013;18:242–248. , , , , .
- The effect of an intervention to break the gender bias habit for faculty at one institution: a cluster randomized, controlled trial. Acad Med. 2015;90(2):221–230. , , , et al.
- Society of Hospital Medicine. Milestones in the hospital medicine movement. Available at: http://www.hospitalmedicine.org/Web/About_SHM/Industry/shm_History.aspx. Accessed March 23, 2015.
- Gender disparities in leadership and scholarly productivity of academic hospitalists. J Hosp Med. 2015;10(X):000–000. , , , et al.
- Job characteristics, satisfaction, and burnout across hospitalist practice models. J Hosp Med. 2012;7:402–410. , , , , .
- A matter of priorities? Exploring the persistent gender pay gap in hospital medicine. J Hosp Med. 2015;10(8):486–490. , , , .
- Association of American Medical Colleges. Table 1: medical students, selected years, 1965–2013. Available at: https://www.aamc.org/download/411782/data/2014_table1.pdf. Accessed March 23, 2015.
- Sex, role models, and specialty choices among graduates of US medical schools in 2006‐2008. J Am Coll Surg. 2014;218(3):345–352. , , , .
- The “Gender Gap” in authorship of academic medical literature—a 35‐year perspective. N Engl J Med. 2006;355(3):281–287. , , , et al.
- Women physicians in academic medicine. N Engl J Med. 2000;342(6):399–405. .
- Gender differences in the salaries of physician researchers. JAMA. 2012;307(22):2410–2417. , , , , , .
- The $16,819 pay gap for newly trained physicians: the unexplained trend of men earning more than women. Health Affairs. 2011;30(2):193–201. , , , .
- Experiencing the culture of academic medicine: gender matters, a national study. J Gen Intern Med. 2013;28(2):201–207. , , , , .
- Gender differences in academic advancement: patterns, causes, and potential solutions in one US College of Medicine. Acad Med. 2003;78(5):500–508. , , , et al.
- Faculty and staff members perceptions of effective leadership: are there differences between men and women leaders? Equity Excell Educ. 2003;36(1):71–81. .
- Transformational, transactional, and lasissez‐faire leadership styles: a meta‐analysis comparing women and men. Psychol Bull. 2003;129(4):569–591. , , .
- A qualitative study of faculty members' views of women chairs. J Womens Health (Larchmt). 2010;19(3):533–546. , , .
- Stuck in the out‐group: Jennifer can't grow up, Jane's invisible, and Janet's over the hill. J Womens Health (Larchmt). 2014;23(6):481–484. , .
- Women and the labyrinth of leadership. Harv Bus Rev. 2007;85(9):62–71. , .
- Interventions that affect gender bias in hiring: a systematic review. Acad Med. 2009;84(10):1440–1446. , , .
- Getting a job: is there a motherhood penalty? Am J Sociol. 2017;112(5):1297–1339. , , .
- Afraid of being “witchy with a ‘b’”: a qualitative study of how gender influences residents' experiences leading cardiopulmonary resuscitation. Acad Med. 2014;89(9):1276–1281. , , , , .
- The measurement of psychological androgyny. J Consult Clin Psychol. 1974;42:155–162. .
- Think manager—think male: A global phenomenon? J Organ Behav. 1996;17(1):33–41. , , , .
- Are leader stereotypes masculine? A meta‐analysis of three research paradigms. Psychol Bull. 2011;137(4):616–642. , , , .
- Can an angry woman get ahead? Status conferral, gender, and expression of emotion in the workplace. Psychol Sci. 2008;19(3):268–275. , .
- Social incentives for gender differences in the propensity to initiate negations: sometimes it does hurt to ask. Organ Behav Hum Decis Process 2007;103:84–103. , , .
- Anger and advancement versus sadness and subjugation: the effect of negative emotion expressions on social status conferral. J Pers Soc Psychol. 2001;80(1):86–94. .
- Battle of the sexes: gender stereotype confirmation and reactance in negotiations. J Pers Soc Psychol. 2001;80(6):942–958. , , .
- Prejudice toward female leaders: Backlash effects and women's impression management dilemma. Soc Personal Psychol Compass. 2010;4(10):807–820. , .
- Commentary: deconstructing gender difference. Acad Med. 2010;85(4):575–577. .
- Organizational climate and family life: how these factors affect the status of women faculty at one medical school. Acad Med. 2009;84(1):87–94. , , , .
- Survey results: a decade of change in professional life in cardiology: a 2008 report of the ACC women in cardiology council. J Am Coll Cardiol. 2008;52(25):2215–2226. , , , , , .
- Effect of physicians' gender on communication and consultation length: a systematic review and meta‐analysis. J Health Serv Res Policy. 2013;18:242–248. , , , , .
- The effect of an intervention to break the gender bias habit for faculty at one institution: a cluster randomized, controlled trial. Acad Med. 2015;90(2):221–230. , , , et al.
Letter to the Editor
We appreciate Dr. Antonios' comments regarding our article[1] and agree with his view that there is a need for both a recovery auditor and observation reform. The House of Representatives recently unanimously passed the NOTICE Act (H.R. 876), which would require hospitals to provide verbal and written notification to patients hospitalized as observation for more than 24 hours and obtain a signed record that the patient has received this information.[2] Also, the law to repeal the Medicare Sustainable Growth Rate (SGR) (Medicare Access and CHIP Reauthorization Act of 2105, P.L. 114‐10), signed into law by President Obama in April, 2015, included a provision to delay recovery auditor activity for an additional 6 months, through September 30, 2015.[3] Although both of these bills demonstrate that congress is informed about problems with recovery auditors and observation policy, neither beneficiary notification of observation nor a 6‐month auditing delay does anything to reform the fundamental problems with observation and the recovery audit program that have resulted in the appeals backlog described by Dr. Antionios.
While we agree that hospitalized beneficiaries should be notified of their visit status, notification alone of outpatient status with observation services, without any enhanced ability of beneficiaries to appeal this determination, or adequate beneficiary education that status determinations are made by clinicians based on Centers for Medicare and Medicaid Services (CMS) regulations, may result in even more confusion and frustration for beneficiaries and clinicians. We hope that Congress will move forward with improvements in actual observation policy, such as counting observation midnights toward the 3‐midnight stay requirement for skilled nursing facility coverage.[4]
Furthermore, as Dr. Antonios points out, the March 2015 victory in a federal circuit court by CGI Federal, Inc., an RAC contractor, over CMS's new payment terms for recovery audit contracts, which reversed a previous decision and remanded the case to the Court of Federal Claims, will delay CMS' awarding of the new RAC contracts. This makes the actual effect of the 6‐month RAC auditing delay in the SGR bill unclear at this time.[5] We hope that these current legislative efforts are revisited and will be the beginning, and not the end, of legislative and regulatory reform efforts on these important issues.
- Changes to inpatient versus outpatient hospitalization: Medicare's 2‐midnight rule. J Hosp Med. 2015;10:194–201. , , , , , .
- NOTICE Act, H.R. 876, Section 2. Medicare requirement for hospital notifications of observation status. Available at: https://www.govtrack.us/congress/bills/114/hr876/text. Accessed March 27, 2015.
- Medicare Access and CHIP Reauthorization Act of 2105, H.R. 2, Section 521. Extension of two‐midnight PAMA rules on certain medical review activities. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/2/text. Accessed on April 29, 2015.
- Improving Access to Medicare Coverage Act, H.R. 1571 and S. 843. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed March 31, 2015.
- United States Court of Appeals for the Federal Circuit, CGI FEDERAL INC., Plaintiff‐Appellant v. UNITED STATES, Defendant‐Appellee, 2014–5143. http://www.cafc.uscourts.gov/images/stories/opinions‐orders/14–5143.Opinion.3–6‐2015.1.PDF. Accessed March 30, 2015.
We appreciate Dr. Antonios' comments regarding our article[1] and agree with his view that there is a need for both a recovery auditor and observation reform. The House of Representatives recently unanimously passed the NOTICE Act (H.R. 876), which would require hospitals to provide verbal and written notification to patients hospitalized as observation for more than 24 hours and obtain a signed record that the patient has received this information.[2] Also, the law to repeal the Medicare Sustainable Growth Rate (SGR) (Medicare Access and CHIP Reauthorization Act of 2105, P.L. 114‐10), signed into law by President Obama in April, 2015, included a provision to delay recovery auditor activity for an additional 6 months, through September 30, 2015.[3] Although both of these bills demonstrate that congress is informed about problems with recovery auditors and observation policy, neither beneficiary notification of observation nor a 6‐month auditing delay does anything to reform the fundamental problems with observation and the recovery audit program that have resulted in the appeals backlog described by Dr. Antionios.
While we agree that hospitalized beneficiaries should be notified of their visit status, notification alone of outpatient status with observation services, without any enhanced ability of beneficiaries to appeal this determination, or adequate beneficiary education that status determinations are made by clinicians based on Centers for Medicare and Medicaid Services (CMS) regulations, may result in even more confusion and frustration for beneficiaries and clinicians. We hope that Congress will move forward with improvements in actual observation policy, such as counting observation midnights toward the 3‐midnight stay requirement for skilled nursing facility coverage.[4]
Furthermore, as Dr. Antonios points out, the March 2015 victory in a federal circuit court by CGI Federal, Inc., an RAC contractor, over CMS's new payment terms for recovery audit contracts, which reversed a previous decision and remanded the case to the Court of Federal Claims, will delay CMS' awarding of the new RAC contracts. This makes the actual effect of the 6‐month RAC auditing delay in the SGR bill unclear at this time.[5] We hope that these current legislative efforts are revisited and will be the beginning, and not the end, of legislative and regulatory reform efforts on these important issues.
We appreciate Dr. Antonios' comments regarding our article[1] and agree with his view that there is a need for both a recovery auditor and observation reform. The House of Representatives recently unanimously passed the NOTICE Act (H.R. 876), which would require hospitals to provide verbal and written notification to patients hospitalized as observation for more than 24 hours and obtain a signed record that the patient has received this information.[2] Also, the law to repeal the Medicare Sustainable Growth Rate (SGR) (Medicare Access and CHIP Reauthorization Act of 2105, P.L. 114‐10), signed into law by President Obama in April, 2015, included a provision to delay recovery auditor activity for an additional 6 months, through September 30, 2015.[3] Although both of these bills demonstrate that congress is informed about problems with recovery auditors and observation policy, neither beneficiary notification of observation nor a 6‐month auditing delay does anything to reform the fundamental problems with observation and the recovery audit program that have resulted in the appeals backlog described by Dr. Antionios.
While we agree that hospitalized beneficiaries should be notified of their visit status, notification alone of outpatient status with observation services, without any enhanced ability of beneficiaries to appeal this determination, or adequate beneficiary education that status determinations are made by clinicians based on Centers for Medicare and Medicaid Services (CMS) regulations, may result in even more confusion and frustration for beneficiaries and clinicians. We hope that Congress will move forward with improvements in actual observation policy, such as counting observation midnights toward the 3‐midnight stay requirement for skilled nursing facility coverage.[4]
Furthermore, as Dr. Antonios points out, the March 2015 victory in a federal circuit court by CGI Federal, Inc., an RAC contractor, over CMS's new payment terms for recovery audit contracts, which reversed a previous decision and remanded the case to the Court of Federal Claims, will delay CMS' awarding of the new RAC contracts. This makes the actual effect of the 6‐month RAC auditing delay in the SGR bill unclear at this time.[5] We hope that these current legislative efforts are revisited and will be the beginning, and not the end, of legislative and regulatory reform efforts on these important issues.
- Changes to inpatient versus outpatient hospitalization: Medicare's 2‐midnight rule. J Hosp Med. 2015;10:194–201. , , , , , .
- NOTICE Act, H.R. 876, Section 2. Medicare requirement for hospital notifications of observation status. Available at: https://www.govtrack.us/congress/bills/114/hr876/text. Accessed March 27, 2015.
- Medicare Access and CHIP Reauthorization Act of 2105, H.R. 2, Section 521. Extension of two‐midnight PAMA rules on certain medical review activities. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/2/text. Accessed on April 29, 2015.
- Improving Access to Medicare Coverage Act, H.R. 1571 and S. 843. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed March 31, 2015.
- United States Court of Appeals for the Federal Circuit, CGI FEDERAL INC., Plaintiff‐Appellant v. UNITED STATES, Defendant‐Appellee, 2014–5143. http://www.cafc.uscourts.gov/images/stories/opinions‐orders/14–5143.Opinion.3–6‐2015.1.PDF. Accessed March 30, 2015.
- Changes to inpatient versus outpatient hospitalization: Medicare's 2‐midnight rule. J Hosp Med. 2015;10:194–201. , , , , , .
- NOTICE Act, H.R. 876, Section 2. Medicare requirement for hospital notifications of observation status. Available at: https://www.govtrack.us/congress/bills/114/hr876/text. Accessed March 27, 2015.
- Medicare Access and CHIP Reauthorization Act of 2105, H.R. 2, Section 521. Extension of two‐midnight PAMA rules on certain medical review activities. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/2/text. Accessed on April 29, 2015.
- Improving Access to Medicare Coverage Act, H.R. 1571 and S. 843. Available at: https://www.congress.gov/bill/114th‐congress/house‐bill/1571. Accessed March 31, 2015.
- United States Court of Appeals for the Federal Circuit, CGI FEDERAL INC., Plaintiff‐Appellant v. UNITED STATES, Defendant‐Appellee, 2014–5143. http://www.cafc.uscourts.gov/images/stories/opinions‐orders/14–5143.Opinion.3–6‐2015.1.PDF. Accessed March 30, 2015.
Observation, Visit Status, and RAC Audits
Medicare patients are increasingly hospitalized as outpatients under observation. From 2006 to 2012, outpatient services grew nationally by 28.5%, whereas inpatient discharges decreased by 12.6% per Medicare beneficiary.[1] This increased use of observation stays for hospitalized Medicare beneficiaries and the recent Centers for Medicare & Medicaid Services (CMS) 2‐Midnight rule for determination of visit status are increasing areas of concern for hospitals, policymakers, and the public,[2] as patients hospitalized under observation are not covered by Medicare Part A hospital insurance, are subject to uncapped out‐of‐pocket charges under Medicare Part B, and may be billed by the hospital for certain medications. Additionally, Medicare beneficiaries hospitalized in outpatient status, which includes all hospitalizations under observation, do not qualify for skilled nursing facility care benefits after discharge, which requires a stay that spans at least 3 consecutive midnights as an inpatient.[3]
In contrast, the federal Recovery Audit program, previously called and still commonly referred to as the Recovery Audit Contractor (RAC) program, responsible for postpayment review of inpatient claims, has received relatively little attention. Established in 2006, and fully operationalized in federal fiscal year (FY) 2010,[4] RACs are private government contractors granted the authority to audit hospital charts for appropriate medical necessity, which can consider whether the care delivered was indicated and whether it was delivered in the appropriate Medicare visit status, outpatient or inpatient. Criteria for hospitalization status (inpatient vs outpatient) as defined in the Medicare Conditions of Participation, often allow for subjectivity (medical judgment) in determining which status is appropriate.[5] Hospitals may contest RAC decisions and payment denials through a preappeals discussion period, then through a 5‐level appeals process. Although early appeals occur between the hospital and private contractors, appeals reaching level 3 are heard by the Department of Health and Human Services (HHS) Office of Medicare Hearings and Appeals (OMHA) Administrative Law Judges (ALJ). Levels 4 (Medicare Appeals Council) and 5 (United States District Court) appeals are also handled by the federal government.[6]
Medicare fraud and abuse should not be tolerated, and systematic surveillance needs to be an integral part of the Medicare program.[4] However, there are increasing concerns that the RAC program has resulted in overaggressive denials.[7, 8] Unlike other Medicare contractors, RAC auditors are paid a contingency fee based on the percentage of hospital payment recouped for cases they audit and deny for improper payment.[4] RACs are not subject to any financial penalty for cases they deny but are overturned in the discussion period or in the appeals process. This may create an incentive system that financially encourages RACs to assert improper payment, and the current system lacks both transparency and clear performance metrics for auditors. Of particular concern are Medicare Part A complex reviews, the most fiscally impactful area of RAC activity. According to CMS FY 2013 data, 41.1% of all claims with collections were complex reviews, yet these claims accounted for almost all (95.2%) of total dollars recovered by the RACs, with almost all (96%) dollars recovered being from Part A claims.[9] Complex reviews involve an auditor retrospectively and manually reviewing a medical record and then using his or her clinical and related professional judgment to decide whether the care was medically necessary. This is compared to automated coding or billing reviews, which are based solely on claims data.
Increased RAC activity and the willingness of hospitals to challenge RAC findings of improper payment has led to an increase in appeals volume that has overloaded the appeals process. On March 13, 2013, CMS offered hospitals the ability to rebill Medicare Part B as an appeals alternative.[10] This did not temper level 3 appeals requests received by the OMHA, which increased from 1250 per week in January 2012 to over 15,000 per week by November 2013.[11] Citing an overwhelmingly increased rate of appeal submissions and the resultant backlog, the OMHA decided to freeze new hospital appeals assignments in December 2013.[11] In another attempt to clear the backlog, on August 29, 2014, CMS offered a settlement that would pay hospitals 68% of the net allowable amount of the original Part A claim (minus any beneficiary deductibles) if a hospital agreed to concede all of its eligible appeals.[12] Notably, cases settled under this agreement would remain officially categorized as denied for improper payment.
The HHS Office of Inspector General (OIG)[4] and the CMS[9, 13, 14] have produced recent reports of RAC auditing and appeals activity that contain variable numbers that conflict with hospital accounts of auditing and appeals activity.[15, 16] In addition to these conflicting reports, little is known about RAC auditing of individual programs over time, the length of time cases spend in appeals, and staff required to navigate the audit and appeals processes. Given these questions, and the importance of RAC auditing pressure in the growth of hospital observation care, we conducted a retrospective descriptive study of all RAC activity for complex Medicare Part A alleged overpayment determinations at the Johns Hopkins Hospital, the University of Utah, and University of Wisconsin Hospital and Clinics for calendar years 2010 to 2013.
METHODS
The University of Wisconsin‐Madison Health Sciences institutional review board (IRB) and the Johns Hopkins Hospital IRB did not require review of this study. The University of Utah received an exemption. All 3 hospitals are tertiary care academic medical centers. The University of Wisconsin Hospital and Clinics (UWHC) is a 592‐bed hospital located in Madison, Wisconsin,[17] the Johns Hopkins Hospital (JHH) is a 1145‐bed medical center located in Baltimore, Maryland,[18] and the University of Utah Hospital (UU) is a 770‐bed facility in Salt Lake City, Utah (information available upon request). Each hospital is under a different RAC, representing 3 of the 4 RAC regions, and each is under a different Medicare Administrative Contractor, contractors responsible for level 1 appeals. The 3 hospitals have the same Qualified Independent Contractor responsible for level 2 appeals.
For the purposes of this study, any chart or medical record requested for review by an RAC was considered a medical necessity chart request or an audit. The terms overpayment determinations and denials were used interchangeably to describe audits the RACs alleged did not meet medical necessity for Medicare Part A billing. As previously described, the term medical necessity specifically considered not only whether actual medical services were appropriate, but also whether the services were delivered in the appropriate status, outpatient or inpatient. Appeals and/or request for discussion were cases where the overpayment determination was disputed and challenged by the hospital.
All complex review Medicare Part A RAC medical record requests by date of RAC request from the official start of the RAC program, January 1, 2010,[4] to December 31, 2013, were included in this study. Medical record requests for automated reviews that related to coding and billing clarifications were not included in this study, nor were complex Medicare Part B reviews, complex reviews for inpatient rehabilitation facilities, or psychiatric day hospitalizations. Notably, JHH is a Periodic Interim Payment (PIP) Medicare hospital, which is a reimbursement mechanism where biweekly payments [are] made to a Provider enrolled in the PIP program, and are based on the hospital's estimate of applicable Medicare reimbursement for the current cost report period.[19] Because PIP payments are made collectively to the hospital based on historical data, adjustments for individual inpatients could not be easily adjudicated and processed. Due to the increased complexity of this reimbursement mechanism, RAC audits did not begin at JHH until 2012. In addition, in contrast to the other 2 institutions, all of the RAC complex review audits at JHH in 2013 were for Part B cases, such as disputing need for intensity‐modulated radiation therapy versus conventional radiation therapy, or contesting the medical necessity of blepharoplasty. As a result, JHH had complex Part A review audits only for 2012 during the study time period. All data were deidentified prior to review by investigators.
As RACs can audit charts for up to 3 years after the bill is submitted,[13] a chart request in 2013 may represent a 2010 hospitalization, but for purposes of this study, was logged as a 2013 case. There currently is no standard methodology to calculate time spent in appeals. The UWHC and JHH calculate time in discussion or appeals from the day the discussion or appeal was initiated by the hospital, and the UU calculates the time in appeals from the date of the findings letter from the RAC, which makes comparable recorded time in appeals longer at UU (estimated 510 days for 20112013 cases, up to 120 days for 2010 cases).Time in appeals includes all cases that remain in the discussion or appeals process as of June 30, 2014.
The RAC process is as follows (Tables 1 and 2):
- The RAC requests hospital claims (RAC Medical Necessity Chart Requests [Audits]).
- The RAC either concludes the hospital claim was compliant as filed/paid and the process ends or the RAC asserts improper payment and requests repayment (RAC Overpayment Determinations of Requested Charts [Denials]).
- The hospital makes an initial decision to not contest the RAC decision (and repay), or to dispute the decision (Hospital Disputes Overpayment Determination [Appeal/Discussion]). Prior to filing an appeal, the hospital may request a discussion of the case with an RAC medical director, during which the RAC medical director can overturn the original determination. If the RAC declines to overturn the decision in discussion, the hospital may proceed with a formal appeal. Although CMS does not calculate the discussion period as part of the appeals process,[12] overpayment determinations contested by the hospital in either discussion or appeal represent the sum total of RAC denials disputed by the hospital.
Contested cases have 1 of 4 outcomes:
Contested overpayment determinations can be decided in favor of the hospital (Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew)
- Contested overpayment determinations can be decided in favor of the RAC during the appeal process, and either the hospital exhausts the appeal process or elects not to take the appeal to the next level. Although the appeals process has 5 levels, no cases at our 3 hospitals have reached level 4 or 5, so cases without a decision to date remain in appeals at 1 of the first 3 levels (Case Still in Discussion or Appeals).[4]
- Hospital may miss an appeal deadline (Hospital Missed Appeal Deadline at Any Level) and the case is automatically decided in favor of the RAC.
- As of March 13, 2013,[10] for appeals that meet certain criteria and involve dispute over the billing of hospital services under Part A, CMS allowed hospitals to withdraw an appeal and rebill Medicare Part B. Prior to this time, hospitals could rebill for a very limited list of ancillary Part B Only services, and only within the 1‐year timely filing period.[13] Due to the lengthy appeals process and associated legal and administrative costs, hospitals may not agree with the RAC determination but make a business decision to recoup some payment under this mechanism (Hospital Chose to Rebill as Part B During Discussion or Appeals Process).
Totals | Johns Hopkins Hospital | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
University of Wisconsin Hospital and Clinics | University of Utah | ||||||||||
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
| |||||||||||
Total no. of Medicare encounters | 24,400 | 24,998 | 25,370 | 27,094 | 101,862 | 11,212b | 11,750b | 11,842 | 12,674c | 47,478 | |
RAC Medical Necessity Chart Requests (Audits) | 547 | 1,735 | 3,887 | 1,941 | 8,110 (8.0%) | 0 | 0 | 938 | 0 | 938 (2.0%) | |
RAC Overpayment Determinations Of Requested Charts (Denials)d | 164 (30.0%) | 516 (29.7%) | 1,200 (30.9%) | 656 (33.8%) | 2,536 (31.3%) | 0 (0%) | 0 (0%) | 432 (46.1%) | 0 (0%) | 432 (46.1%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 128 (78.0%) | 409 (79.3%) | 1,129 (94.1%) | 643 (98.0%) | 2,309 (91.0% | 0 (0%) | 0 (0%) | 431 (99.8%) | 0 (0%) | 431 (99.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.2%) | 13 (1.2%) | 4 (0.6%) | 18 (0.8%) | 0 (0%) | 0 (0%) | 0 (0.0%) | 0 (0%) | 0 (0.0%) | |
Hospital Chose To Rebill as Part B During Discussion Or Appeals Process | 80 (62.5%) | 202 (49.4%) | 511 (45.3%) | 158 (24.6%) | 951 (41.2%) | 0 (0%) | 0 (0%) | 208 (48.3%) | 0 (0%) | 208 (48.3%) | |
Discussion or Appeal Decided In Favor Of Hospital or RAC Withdrewf | 45 (35.2%) | 127 (31.1%) | 449 (39.8%) | 345 (53.7%) | 966 (41.8%) | 0 (0%) | 0 (0%) | 151 (35.0%) | 0 (0%) | 151 (35.0%) | |
Case Still in Discussion or Appeals | 3 (2.3%) | 79 (19.3%) | 156 13.8%) | 136 (21.2%) | 374 (16.2%) | 0 (0%) | 0 (0%) | 72 (16.7%) | 0 (0%) | 72 (16.7%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | 1208 (41) | 958 (79) | 518 (125) | 350 (101) | 555 (255) | N/A | N/A | 478 (164) | N/A | 478 (164) | |
Total no. of Medicare encounters l | 8,096 | 8,038 | 8,429 | 9,086 | 33,649 | 5,092 | 5,210 | 5,099 | 5,334 | 20,735 | |
RAC Medical Necessity Chart Requests (Audits) | 15 | 526 | 1,484 | 960 | 2,985 (8.9%) | 532 | 1,209 | 1,465 | 981 | 4,187 (20.2%) | |
RAC Overpayment Determinations of Requested Charts (Denials)bd | 3 (20.0%) | 147 (27.9%) | 240 (16.2%) | 164 (17.1%) | 554 (18.6%) | 161 (30.3%) | 369 (30.5%) | 528 (36.0%) | 492 (50.2%) | 1,550 (37.0%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 1 (33.3%) | 71 (48.3%) | 170 (70.8%) | 151 (92.1%) | 393 (70.9%) | 127 (78.9%) | 338 (91.6%) | 528 (100.0%) | 492 (100.0%) | 1,485 (95.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (1.4%) | 0 (0.0%) | 4 (2.6%) | 5 (1.3%) | 0 (0.0%) | 0 (0.0%) | 13 (2.5%) | 0 (0.0%) | 13 (0.9%) | |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100%) | 3 (4.2%) | 13 (7.6%) | 3 (2.0%) | 20 (5.1%) | 79 (62.2%) | 199 (58.9%) | 290 (54.9%) | 155 (31.5%) | 723 (48.7%) | |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewf | 0 (0.0%) | 44 (62.0%) | 123 (72.4%) | 93 (61.6%) | 260 (66.2%) | 45 (35.4%) | 83 (24.6%) | 175 (33.1%) | 252 (51.2%) | 555 (37.4%) | |
Case Still in Discussion or Appeals | 0 0.0% | 23 (32.4%) | 34 (20.0%) | 51 (33.8%) | 108 (27.5%) | 3 (2.4%) | 56 (16.6%) | 50 (9.5%) | 85 (17.3%) | 194 (13.1%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | N/A | 926 (70) | 564 (90) | 323 (134) | 528 (258) | 1,208 (41) | 970 (80) | 544 (25) | 365 (72) | 599 (273) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
---|---|---|---|---|---|---|---|---|---|---|
Total Appeals With Decisions | Johns Hopkins Hospital | |||||||||
Total no. | 125 | 330 | 973 | 507 | 1,935 | 0 | 0 | 359 | 0 | 359 |
| ||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.3%) | 13 (1.3%) | 4 (0.8%) | 18 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 80 (64.0%) | 202 (61.2%) | 511 (52.5%) | 158 (31.2%) | 951 (49.1%) | 0 (0.0%) | 0 (0.0%) | 208 (57.9%) | 0 (0.0%) | 208 (57.9%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew | 45 (36.0%) | 127 (38.5%) | 449 (46.1%) | 345 (68.0%) | 966 (49.9%) | 0 (0.0%) | 0 (0.0%) | 151 (42.1%) | 0 (0.0%) | 151 (42.1%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 59 (17.9%) | 351 (36.1%) | 235 (46.4%) | 645 (33.3%) | 0 (0.0%) | 0 (0.0%) | 139 (38.7%) | 0 (0.0%) | 139 (38.7%) |
Level 1 Appeal | 10 (8.0%) | 22 (6.7%) | 60 (6.2%) | 62 (12.2%)1 | 154 (8.0%) | 0 (0.0%) | 0 (0.0%) | 2 (0.6%) | 0 (0.0%) | 2 (0.6%) |
Level 2 Appeal | 22 (17.6%) | 36 (10.9%) | 38 (3.9%) | 48 (9.5%)1 | 144 (7.4%) | 0 (0.0%) | 0 (0.0%) | 10 (2.8%) | 0 (0.0%) | 10 (2.8%) |
Level 3 Appealc | 13 (10.4%) | 10 (3.0%) | N/A (N/A) | N/A (N/A) | 23 (1.2%) | 0 (0.0%) | 0 (0.0%) | N/A (N/A) | 0 (0.0%) | 0 (0.0%) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
University of Wisconsin Hospital and Clinics | University of Utah | |||||||||
Total no. | 1 | 48 | 136 | 100 | 285 | 124 | 282 | 478 | 407 | 1,291 |
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (2.1% | 0 (0.0%) | 4 (4.0%) | 5 (1.8%) | 0 (0.0%) | 0 (0.0%) | 13 (2.7%) | 0 (0.0%) | 13 (1.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100.0%) | 3 (6.3% | 13 (9.6%) | 3 (3.0%) | 20 (7.0%) | 79 (63.7%) | 199 (70.6%) | 290 (60.7%) | 155 (38.1%) | 723 (56.0%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewb | 0 (0.0%) | 44 (91.7%) | 123 (90.4%) | 93 (93.0%) | 260 (91.2%) | 45 (36.3%) | 83 (29.4%) | 175 (36.6%) | 252 (61.9%) | 555 (43.0%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 38 (79.2%) | 66 (48.5%) | 44 (44.0%) | 148 (51.9% | 0 (0.0%) | 21 (7.4%) | 146 (30.5%) | 191 (46.9%) | 358 (27.7%) |
Level 1 Appeal | 0 (0.0%) | 2 (4.2%) | 47 (34.6%) | 34 (34.0%) | 83 (29.1%) | 10 (8.1%) | 20 (7.1%) | 11 (2.3%) | 28 (6.9%) | 69 (5.3%) |
Level 2 Appeal | 0 (0.0%) | 4 (8.3%) | 10 (7.4%) | 15 (15.0%) | 29 (10.2%) | 22 (17.7%) | 32 (11.3%) | 18 (3.8%) | 33 (8.1%) | 105 (8.1%) |
Level 3 Appealc | 0 (0.0%) | N/A (N/A) | N/A (N/A) | N/A (N/A) | 0 (0.0%) | 13 (10.5%) | 10 (3.5%) | N/A (N/A) | N/A(N/A) | 23 (1.8%) |
The administration at each hospital provided labor estimates for workforce dedicated to the review process generated by the RACs based on hourly accounting of one‐quarter of work during 2012, updated to FY 2014 accounting (Table 3). Concurrent case management status determination work was not included in these numbers due to the difficulty in solely attributing concurrent review workforce numbers to the RACs, as concurrent case management is a CMS Condition of Participation irrespective of the RAC program.
JHH | UWHC | UU | Mean | |
---|---|---|---|---|
| ||||
Physicians: assist with status determinations, audits, and appeals | 1.0 | 0.5 | 0.6 | 0.7 |
Nursing administration: audit and appeal preparation | 0.9 | 0.2 | 1.9 | 1.0 |
Legal counsel: assist with rules interpretation, audit, and appeal preparation | 0.2 | 0.3 | 0.1 | 0.2 |
Data analyst: prepare and track reports of audit and appeals | 2.0 | 1.8 | 2.4 | 2.0 |
Administration and other directors | 2.3 | 0.9 | 0.3 | 1.2 |
Total FTE workforce | 6.4 | 3.7 | 5.3 | 5.1 |
Statistics
Descriptive statistics were used to describe the data. Staffing numbers are expressed as full‐time equivalents (FTE).
RESULTS
Yearly Medicare Encounters and RAC Activity of Part A Complex Reviews
RACs audited 8.0% (8110/101,862) of inpatient Medicare cases, alleged noncompliance (all overpayments) for 31.3% (2536/8110) of Part A complex review cases requested, and the hospitals disputed 91.0% (2309/2536) of these assertions. None of these cases of alleged noncompliance claimed the actual medical services were unnecessary. Rather, every Part A complex review overpayment determination by all 3 RACs contested medical necessity related to outpatient versus inpatient status. In 2010 and 2011, there were in aggregate fewer audits (2282), overpayment determinations (680), and appeals or discussion requests (537 of 680, 79.0%), compared to audits (5828), overpayment determinations (1856), and appeals or discussion requests (1772 of 1856, 95.5%) in 2012 and 2013. The hospitals appealed or requested discussion of a greater percentage each successive year (2010, 78.0%; 2011, 79.3%; 2012, 94.1%; and 2013, 98.0%). This increased RAC activity, and hospital willingness to dispute the RAC overpayment determinations equaled a more than 300% increase in appeals and discussion request volume related to Part A complex review audits in just 2 years.
The 16.2% (374/2309) of disputed cases still under discussion or appeal have spent an average mean of 555 days (standard deviation 255 days) without a decision, with time in appeals exceeding 900 days for cases from 2010 and 2011. Notably, the 3 programs were subject to Part A complex review audits at widely different rates (Table 1).
Yearly RAC Part A Complex Review Overpayment Determinations Disputed by Hospitals With Decisions
The hospitals won, either in discussion or appeal, a combined greater percentage of contested overpayment determinations annually, from 36.0% (45/125) in 2010, to 38.5% (127/330) in 2011, to 46.1% (449/973) in 2012, to 68.0% (345/507) in 2013. Overall, for 49.1% (951/1935) of cases with decisions, the hospitals withdrew or rebilled under Part B at some point in the discussion or appeals process to avoid the lengthy appeals process and/or loss of the amount of the entire claim. A total of 49.9% (966/1935) of appeals with decisions have been won in discussion or appeal over the 4‐year study period. One‐third of all resolved cases (33.3%, 645/1935) were decided in favor of the hospital in the discussion period, with these discussion cases accounting for two‐thirds (66.8%, 645/966) of all favorable resolved cases for the hospital. Importantly, if cases overturned in discussion were omitted as they are in federal reports, the hospitals' success rate would fall to 16.6% (321/1935), a number similar to those that appear in annual CMS reports.[9, 13, 14] The hospitals also conceded 18 cases (0.9%) by missing a filing deadline (Table 2).
Estimated Workforce Dedicated to Part A Complex Review Medical Necessity Audits and Appeals
The institutions each employ an average of 5.1 FTE staff to manage the audit and appeal process, a number that does not include concurrent case management staff who assist in daily status determinations (Table 3).
CONCLUSIONS
In this study of 3 academic medical centers, there was a more than 2‐fold increase in RAC audits and a nearly 3‐fold rise in overpayment determinations over the last 2 calendar years of the study, resulting in a more than 3‐fold increase in appeals or requests for discussion in 2012 to 2013 compared to 2010 to 2011. In addition, although CMS manually reviews less than 0.3% of submitted claims each year through programs such as the Recovery Audit Program,[9] at the study hospitals, complex Part A RAC audits occurred at a rate more than 25 times that (8.0%), suggesting that these types of claims are a disproportionate focus of auditing activity. The high overall complex Part A audit rate, accompanied by acceleration of RAC activity and the hospitals' increased willingness to dispute RAC overpayment determinations each year, if representative of similar institutions, would explain the appeals backlog, most notably at the ALJ (level 3) level. Importantly, none of these Part A complex review denials contested a need for the medical care delivered, demonstrating that much of the RAC process at the hospitals focused exclusively on the nuances of medical necessity and variation in interpretation of CMS guidelines that related to whether hospital care should be provided under inpatient or outpatient status.
These data also show continued aggressive RAC audit activity despite an increasing overturn rate in favor of the hospitals in discussion or on appeal each year (from 36.0% in 2010 to 68.0% in 2013). The majority of the hospitals' successful decisions occurred in the discussion period, when the hospital had the opportunity to review the denial with the RAC medical director, a physician, prior to beginning the official appeals process. The 33% overturn rate found in the discussion period represents an error rate by the initial RAC auditors that was internally verified by the RAC medical director. The RAC internal error rate was replicated at 3 different RACs, highlighting internal process problems across the RAC system. This is concerning, because the discussion period is not considered part of the formal appeals process, so these cases are not appearing in CMS or OIG reports of RAC activity, leading to an underestimation of the true successful overturned denial rates at the 3 study hospitals, and likely many other hospitals.
The study hospitals are also being denied timely due process and payments for services delivered. The hospitals currently face an appeals process that, on average, far exceeds 500 days. In almost half of the contested overpayment determinations, the hospitals withdrew a case or rebilled Part B, not due to agreement with a RAC determination, but to avoid the lengthy, cumbersome, and expensive appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. This is concerning, as cases withdrawn in the appeals process are considered improper payments in federal reports, despite a large number of these cases being withdrawn simply to avoid an inefficient appeals process. Notably, Medicare is not adhering to its own rules, which require appeals to be heard in a timely manner, specifically 60 days for level 1 or 2 appeals, and 90 days for a level 3 appeal,[6, 20] even though the hospitals lost the ability to appeal cases when they missed a deadline. Even if hospitals agreed to the recent 68% settlement offer[12] from CMS, appeals may reaccumulate without auditing reform. As noted earlier, this recent settlement offer came more than a year after the enhanced ability to rebill denied Part A claims for Part B, yet the backlog remains.
This study also showed that a large hospital workforce is required to manage the lengthy audit and appeals process generated by RACs. These staff are paid with funds that could be used to provide direct patient care or internal process improvement. The federal government also directly pays for unchecked RAC activity through the complex appeals process. Any report of dollars that RACs recoup for the federal government should be considered in light of their administrative costs to hospitals and government contractors, and direct costs at the federal level.
This study also showed that RACs audited the 3 institutions differently, despite similar willingness of the hospitals to dispute overpayment determinations and similar hospital success rates in appeals or discussion, suggesting that hospital compliance with Medicare policy was not the driver of variable RAC activity. This variation may be due to factors not apparent in this study, such as variable RAC interpretation of federal policy, a decision of a particular RAC to focus on complex Medicare Part B or automated reviews instead of complex Part A reviews, or RAC workforce differences that are not specific to the hospitals. Regardless, the variation in audit activity suggests that greater transparency and accountability in RAC activity is merited.
Perhaps most importantly, this study highlights factors that may help explain differing auditing and appeals numbers reported by the OIG,[4] CMS,[9, 13, 14] and hospitals.[15, 16] Given the marked increase in RAC activity over the last 4 years, the 2010 and 2011 data included in a recent OIG report[4] likely do not represent current auditing and appeals practice. With regard to the CMS reports,[9, 13, 14] although CMS included FY 2013[9] activity in its most recent report, it did not account for denials overturned in the discussion period, as these are not technically appeals, even though these are contested cases decided in favor of the hospital. This most recent CMS report[9] uses overpayment determinations from FY 2013, yet counts appeals and decisions that occurred in 2013, with the comment that these decisions may be for overpayment determinations prior to 2013. The CMS reports also variably combine automated, semiautomated, complex Part A, and complex Part B claims in its reports, making interpretation challenging. Finally, although CMS reported an increase in improper payments recovered from FY 2011[14] ($939 million) to FY 2012[13] ($2.4 billion) to FY 2013[9] ($3.75 billion), this is at least partly a reflection of increased RAC activity as demonstrated in this study, and may reflect the fact that many hospitals do not have the resources to continually appeal or choose not to contest these cases based on a financial business decision. Importantly, these numbers now far exceed recoupment in other quality programs, such as the Readmissions Reduction Program (estimated $428 million next FY),[21] indicating the increased fiscal impact of the RAC program on hospital reimbursement.
To increase accuracy, future federal reports of auditing and appeals should detail and include cases overturned in the discussion period, and carefully describe the denominator of total audits and appeals given the likelihood that many appeals in a given year will not have a decision in that year. Percent of total Medicare claims subject to complex Part A audit should be stated. Reports should also identify and consider an alternative classification for complex Part A cases the hospital elects to rebill under Medicare Part B, and also detail on what grounds medical necessity is being contested (eg, whether the actual care delivered was not necessary or if it is an outpatient versus inpatient billing issue). Time spent in the appeals process must also be reported. Complex Part A, complex Part B, semiautomated, and automated reviews should also be considered separately, and dates of reported audits and appeals must be as current as possible in this rapidly changing environment.
In this study, RACs conducted complex Part A audits at a rate 25 times the CMS‐reported overall audit rate, confirming complex Part A audits are a particular focus of RAC activity. There was a more than doubling of RAC audits at the study hospitals from the years 2010 ‐ 2011 to 2012 ‐ 2013 and a nearly 3‐fold increase in overpayment determinations. Concomitantly, the more than 3‐fold increase in appeals and discussion volume over this same time period was consistent with the development of the current national appeals backlog. The 3 study hospitals won a greater percentage of contested cases each year, from approximately one‐third of cases in 2010 to two‐thirds of cases with decisions in 2013, but there was no appreciable decrease in RAC overpayment determinations over that time period. The majority of successfully challenged cases were won in discussion, favorable decisions for hospitals not appearing in federal appeals reports. Time in appeals exceeded 550 days, causing the hospitals to withdraw some cases to avoid the lengthy appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. The hospitals also lost a small number of appeals by missing a filing deadline, yet there was no reciprocal case concession when the appeals system missed a deadline. RACs found no cases of care at the 3 hospitals that should not have been delivered, but rather challenged the status determination (inpatient vs outpatient) to dispute medical necessity of care delivered. Finally, an average of approximately 5 FTEs at each institution were employed in the audits and appeals process. These data support a need for systematic improvements in the RAC system so that fair, constructive, and cost‐efficient surveillance of the Medicare program can be realized.
Acknowledgements
The authors thank Becky Borchert, MS, RN BC, ACM, CPHQ, Program Manager for Medicare/Medicaid Utilization Review at the University of Wisconsin Hospital and Clinics; Carol Duhaney and Joan Kratz, RN, at Johns Hopkins Hospital; and Morgan Walker at the University of Utah for their assistance in data preparation and presentation. Without their meticulous work and invaluable assistance, this study would not have been possible. The authors also thank Josh Boswell, JD, for his critical review of the manuscript.
Disclosure: Nothing to report.
- Medicare Payment Advisory Commission. Hospital inpatient and observation services. 2014 Report to Congress. Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed September 22, 2014.
- American Hospital Association “2‐midnight rule” lawsuit vs Department of Health and Human Services. Available at: http://www.aha.org/content/14/140414‐complaint‐2midnight.pdf. Accessed August 8, 2014.
- Centers for Medicare administrative law judge hearing program for Medicare claim appeals. Fed Regist. 2014;79(214): 65660 – 65663. Available at: http://www.hhs.gov/omha/files/omha_federal_register_notice_2014–26214.pdf. Accessed December 6, 2014.
- http://kaiserhealthnews.org/news/medicare‐readmissions‐penalties‐2015. Accessed November 30, 2014. . Medicare fines 2,610 hospitals in third round of readmission penalties. Kaiser Health News. Available at:
Medicare patients are increasingly hospitalized as outpatients under observation. From 2006 to 2012, outpatient services grew nationally by 28.5%, whereas inpatient discharges decreased by 12.6% per Medicare beneficiary.[1] This increased use of observation stays for hospitalized Medicare beneficiaries and the recent Centers for Medicare & Medicaid Services (CMS) 2‐Midnight rule for determination of visit status are increasing areas of concern for hospitals, policymakers, and the public,[2] as patients hospitalized under observation are not covered by Medicare Part A hospital insurance, are subject to uncapped out‐of‐pocket charges under Medicare Part B, and may be billed by the hospital for certain medications. Additionally, Medicare beneficiaries hospitalized in outpatient status, which includes all hospitalizations under observation, do not qualify for skilled nursing facility care benefits after discharge, which requires a stay that spans at least 3 consecutive midnights as an inpatient.[3]
In contrast, the federal Recovery Audit program, previously called and still commonly referred to as the Recovery Audit Contractor (RAC) program, responsible for postpayment review of inpatient claims, has received relatively little attention. Established in 2006, and fully operationalized in federal fiscal year (FY) 2010,[4] RACs are private government contractors granted the authority to audit hospital charts for appropriate medical necessity, which can consider whether the care delivered was indicated and whether it was delivered in the appropriate Medicare visit status, outpatient or inpatient. Criteria for hospitalization status (inpatient vs outpatient) as defined in the Medicare Conditions of Participation, often allow for subjectivity (medical judgment) in determining which status is appropriate.[5] Hospitals may contest RAC decisions and payment denials through a preappeals discussion period, then through a 5‐level appeals process. Although early appeals occur between the hospital and private contractors, appeals reaching level 3 are heard by the Department of Health and Human Services (HHS) Office of Medicare Hearings and Appeals (OMHA) Administrative Law Judges (ALJ). Levels 4 (Medicare Appeals Council) and 5 (United States District Court) appeals are also handled by the federal government.[6]
Medicare fraud and abuse should not be tolerated, and systematic surveillance needs to be an integral part of the Medicare program.[4] However, there are increasing concerns that the RAC program has resulted in overaggressive denials.[7, 8] Unlike other Medicare contractors, RAC auditors are paid a contingency fee based on the percentage of hospital payment recouped for cases they audit and deny for improper payment.[4] RACs are not subject to any financial penalty for cases they deny but are overturned in the discussion period or in the appeals process. This may create an incentive system that financially encourages RACs to assert improper payment, and the current system lacks both transparency and clear performance metrics for auditors. Of particular concern are Medicare Part A complex reviews, the most fiscally impactful area of RAC activity. According to CMS FY 2013 data, 41.1% of all claims with collections were complex reviews, yet these claims accounted for almost all (95.2%) of total dollars recovered by the RACs, with almost all (96%) dollars recovered being from Part A claims.[9] Complex reviews involve an auditor retrospectively and manually reviewing a medical record and then using his or her clinical and related professional judgment to decide whether the care was medically necessary. This is compared to automated coding or billing reviews, which are based solely on claims data.
Increased RAC activity and the willingness of hospitals to challenge RAC findings of improper payment has led to an increase in appeals volume that has overloaded the appeals process. On March 13, 2013, CMS offered hospitals the ability to rebill Medicare Part B as an appeals alternative.[10] This did not temper level 3 appeals requests received by the OMHA, which increased from 1250 per week in January 2012 to over 15,000 per week by November 2013.[11] Citing an overwhelmingly increased rate of appeal submissions and the resultant backlog, the OMHA decided to freeze new hospital appeals assignments in December 2013.[11] In another attempt to clear the backlog, on August 29, 2014, CMS offered a settlement that would pay hospitals 68% of the net allowable amount of the original Part A claim (minus any beneficiary deductibles) if a hospital agreed to concede all of its eligible appeals.[12] Notably, cases settled under this agreement would remain officially categorized as denied for improper payment.
The HHS Office of Inspector General (OIG)[4] and the CMS[9, 13, 14] have produced recent reports of RAC auditing and appeals activity that contain variable numbers that conflict with hospital accounts of auditing and appeals activity.[15, 16] In addition to these conflicting reports, little is known about RAC auditing of individual programs over time, the length of time cases spend in appeals, and staff required to navigate the audit and appeals processes. Given these questions, and the importance of RAC auditing pressure in the growth of hospital observation care, we conducted a retrospective descriptive study of all RAC activity for complex Medicare Part A alleged overpayment determinations at the Johns Hopkins Hospital, the University of Utah, and University of Wisconsin Hospital and Clinics for calendar years 2010 to 2013.
METHODS
The University of Wisconsin‐Madison Health Sciences institutional review board (IRB) and the Johns Hopkins Hospital IRB did not require review of this study. The University of Utah received an exemption. All 3 hospitals are tertiary care academic medical centers. The University of Wisconsin Hospital and Clinics (UWHC) is a 592‐bed hospital located in Madison, Wisconsin,[17] the Johns Hopkins Hospital (JHH) is a 1145‐bed medical center located in Baltimore, Maryland,[18] and the University of Utah Hospital (UU) is a 770‐bed facility in Salt Lake City, Utah (information available upon request). Each hospital is under a different RAC, representing 3 of the 4 RAC regions, and each is under a different Medicare Administrative Contractor, contractors responsible for level 1 appeals. The 3 hospitals have the same Qualified Independent Contractor responsible for level 2 appeals.
For the purposes of this study, any chart or medical record requested for review by an RAC was considered a medical necessity chart request or an audit. The terms overpayment determinations and denials were used interchangeably to describe audits the RACs alleged did not meet medical necessity for Medicare Part A billing. As previously described, the term medical necessity specifically considered not only whether actual medical services were appropriate, but also whether the services were delivered in the appropriate status, outpatient or inpatient. Appeals and/or request for discussion were cases where the overpayment determination was disputed and challenged by the hospital.
All complex review Medicare Part A RAC medical record requests by date of RAC request from the official start of the RAC program, January 1, 2010,[4] to December 31, 2013, were included in this study. Medical record requests for automated reviews that related to coding and billing clarifications were not included in this study, nor were complex Medicare Part B reviews, complex reviews for inpatient rehabilitation facilities, or psychiatric day hospitalizations. Notably, JHH is a Periodic Interim Payment (PIP) Medicare hospital, which is a reimbursement mechanism where biweekly payments [are] made to a Provider enrolled in the PIP program, and are based on the hospital's estimate of applicable Medicare reimbursement for the current cost report period.[19] Because PIP payments are made collectively to the hospital based on historical data, adjustments for individual inpatients could not be easily adjudicated and processed. Due to the increased complexity of this reimbursement mechanism, RAC audits did not begin at JHH until 2012. In addition, in contrast to the other 2 institutions, all of the RAC complex review audits at JHH in 2013 were for Part B cases, such as disputing need for intensity‐modulated radiation therapy versus conventional radiation therapy, or contesting the medical necessity of blepharoplasty. As a result, JHH had complex Part A review audits only for 2012 during the study time period. All data were deidentified prior to review by investigators.
As RACs can audit charts for up to 3 years after the bill is submitted,[13] a chart request in 2013 may represent a 2010 hospitalization, but for purposes of this study, was logged as a 2013 case. There currently is no standard methodology to calculate time spent in appeals. The UWHC and JHH calculate time in discussion or appeals from the day the discussion or appeal was initiated by the hospital, and the UU calculates the time in appeals from the date of the findings letter from the RAC, which makes comparable recorded time in appeals longer at UU (estimated 510 days for 20112013 cases, up to 120 days for 2010 cases).Time in appeals includes all cases that remain in the discussion or appeals process as of June 30, 2014.
The RAC process is as follows (Tables 1 and 2):
- The RAC requests hospital claims (RAC Medical Necessity Chart Requests [Audits]).
- The RAC either concludes the hospital claim was compliant as filed/paid and the process ends or the RAC asserts improper payment and requests repayment (RAC Overpayment Determinations of Requested Charts [Denials]).
- The hospital makes an initial decision to not contest the RAC decision (and repay), or to dispute the decision (Hospital Disputes Overpayment Determination [Appeal/Discussion]). Prior to filing an appeal, the hospital may request a discussion of the case with an RAC medical director, during which the RAC medical director can overturn the original determination. If the RAC declines to overturn the decision in discussion, the hospital may proceed with a formal appeal. Although CMS does not calculate the discussion period as part of the appeals process,[12] overpayment determinations contested by the hospital in either discussion or appeal represent the sum total of RAC denials disputed by the hospital.
Contested cases have 1 of 4 outcomes:
Contested overpayment determinations can be decided in favor of the hospital (Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew)
- Contested overpayment determinations can be decided in favor of the RAC during the appeal process, and either the hospital exhausts the appeal process or elects not to take the appeal to the next level. Although the appeals process has 5 levels, no cases at our 3 hospitals have reached level 4 or 5, so cases without a decision to date remain in appeals at 1 of the first 3 levels (Case Still in Discussion or Appeals).[4]
- Hospital may miss an appeal deadline (Hospital Missed Appeal Deadline at Any Level) and the case is automatically decided in favor of the RAC.
- As of March 13, 2013,[10] for appeals that meet certain criteria and involve dispute over the billing of hospital services under Part A, CMS allowed hospitals to withdraw an appeal and rebill Medicare Part B. Prior to this time, hospitals could rebill for a very limited list of ancillary Part B Only services, and only within the 1‐year timely filing period.[13] Due to the lengthy appeals process and associated legal and administrative costs, hospitals may not agree with the RAC determination but make a business decision to recoup some payment under this mechanism (Hospital Chose to Rebill as Part B During Discussion or Appeals Process).
Totals | Johns Hopkins Hospital | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
University of Wisconsin Hospital and Clinics | University of Utah | ||||||||||
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
| |||||||||||
Total no. of Medicare encounters | 24,400 | 24,998 | 25,370 | 27,094 | 101,862 | 11,212b | 11,750b | 11,842 | 12,674c | 47,478 | |
RAC Medical Necessity Chart Requests (Audits) | 547 | 1,735 | 3,887 | 1,941 | 8,110 (8.0%) | 0 | 0 | 938 | 0 | 938 (2.0%) | |
RAC Overpayment Determinations Of Requested Charts (Denials)d | 164 (30.0%) | 516 (29.7%) | 1,200 (30.9%) | 656 (33.8%) | 2,536 (31.3%) | 0 (0%) | 0 (0%) | 432 (46.1%) | 0 (0%) | 432 (46.1%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 128 (78.0%) | 409 (79.3%) | 1,129 (94.1%) | 643 (98.0%) | 2,309 (91.0% | 0 (0%) | 0 (0%) | 431 (99.8%) | 0 (0%) | 431 (99.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.2%) | 13 (1.2%) | 4 (0.6%) | 18 (0.8%) | 0 (0%) | 0 (0%) | 0 (0.0%) | 0 (0%) | 0 (0.0%) | |
Hospital Chose To Rebill as Part B During Discussion Or Appeals Process | 80 (62.5%) | 202 (49.4%) | 511 (45.3%) | 158 (24.6%) | 951 (41.2%) | 0 (0%) | 0 (0%) | 208 (48.3%) | 0 (0%) | 208 (48.3%) | |
Discussion or Appeal Decided In Favor Of Hospital or RAC Withdrewf | 45 (35.2%) | 127 (31.1%) | 449 (39.8%) | 345 (53.7%) | 966 (41.8%) | 0 (0%) | 0 (0%) | 151 (35.0%) | 0 (0%) | 151 (35.0%) | |
Case Still in Discussion or Appeals | 3 (2.3%) | 79 (19.3%) | 156 13.8%) | 136 (21.2%) | 374 (16.2%) | 0 (0%) | 0 (0%) | 72 (16.7%) | 0 (0%) | 72 (16.7%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | 1208 (41) | 958 (79) | 518 (125) | 350 (101) | 555 (255) | N/A | N/A | 478 (164) | N/A | 478 (164) | |
Total no. of Medicare encounters l | 8,096 | 8,038 | 8,429 | 9,086 | 33,649 | 5,092 | 5,210 | 5,099 | 5,334 | 20,735 | |
RAC Medical Necessity Chart Requests (Audits) | 15 | 526 | 1,484 | 960 | 2,985 (8.9%) | 532 | 1,209 | 1,465 | 981 | 4,187 (20.2%) | |
RAC Overpayment Determinations of Requested Charts (Denials)bd | 3 (20.0%) | 147 (27.9%) | 240 (16.2%) | 164 (17.1%) | 554 (18.6%) | 161 (30.3%) | 369 (30.5%) | 528 (36.0%) | 492 (50.2%) | 1,550 (37.0%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 1 (33.3%) | 71 (48.3%) | 170 (70.8%) | 151 (92.1%) | 393 (70.9%) | 127 (78.9%) | 338 (91.6%) | 528 (100.0%) | 492 (100.0%) | 1,485 (95.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (1.4%) | 0 (0.0%) | 4 (2.6%) | 5 (1.3%) | 0 (0.0%) | 0 (0.0%) | 13 (2.5%) | 0 (0.0%) | 13 (0.9%) | |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100%) | 3 (4.2%) | 13 (7.6%) | 3 (2.0%) | 20 (5.1%) | 79 (62.2%) | 199 (58.9%) | 290 (54.9%) | 155 (31.5%) | 723 (48.7%) | |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewf | 0 (0.0%) | 44 (62.0%) | 123 (72.4%) | 93 (61.6%) | 260 (66.2%) | 45 (35.4%) | 83 (24.6%) | 175 (33.1%) | 252 (51.2%) | 555 (37.4%) | |
Case Still in Discussion or Appeals | 0 0.0% | 23 (32.4%) | 34 (20.0%) | 51 (33.8%) | 108 (27.5%) | 3 (2.4%) | 56 (16.6%) | 50 (9.5%) | 85 (17.3%) | 194 (13.1%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | N/A | 926 (70) | 564 (90) | 323 (134) | 528 (258) | 1,208 (41) | 970 (80) | 544 (25) | 365 (72) | 599 (273) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
---|---|---|---|---|---|---|---|---|---|---|
Total Appeals With Decisions | Johns Hopkins Hospital | |||||||||
Total no. | 125 | 330 | 973 | 507 | 1,935 | 0 | 0 | 359 | 0 | 359 |
| ||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.3%) | 13 (1.3%) | 4 (0.8%) | 18 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 80 (64.0%) | 202 (61.2%) | 511 (52.5%) | 158 (31.2%) | 951 (49.1%) | 0 (0.0%) | 0 (0.0%) | 208 (57.9%) | 0 (0.0%) | 208 (57.9%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew | 45 (36.0%) | 127 (38.5%) | 449 (46.1%) | 345 (68.0%) | 966 (49.9%) | 0 (0.0%) | 0 (0.0%) | 151 (42.1%) | 0 (0.0%) | 151 (42.1%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 59 (17.9%) | 351 (36.1%) | 235 (46.4%) | 645 (33.3%) | 0 (0.0%) | 0 (0.0%) | 139 (38.7%) | 0 (0.0%) | 139 (38.7%) |
Level 1 Appeal | 10 (8.0%) | 22 (6.7%) | 60 (6.2%) | 62 (12.2%)1 | 154 (8.0%) | 0 (0.0%) | 0 (0.0%) | 2 (0.6%) | 0 (0.0%) | 2 (0.6%) |
Level 2 Appeal | 22 (17.6%) | 36 (10.9%) | 38 (3.9%) | 48 (9.5%)1 | 144 (7.4%) | 0 (0.0%) | 0 (0.0%) | 10 (2.8%) | 0 (0.0%) | 10 (2.8%) |
Level 3 Appealc | 13 (10.4%) | 10 (3.0%) | N/A (N/A) | N/A (N/A) | 23 (1.2%) | 0 (0.0%) | 0 (0.0%) | N/A (N/A) | 0 (0.0%) | 0 (0.0%) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
University of Wisconsin Hospital and Clinics | University of Utah | |||||||||
Total no. | 1 | 48 | 136 | 100 | 285 | 124 | 282 | 478 | 407 | 1,291 |
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (2.1% | 0 (0.0%) | 4 (4.0%) | 5 (1.8%) | 0 (0.0%) | 0 (0.0%) | 13 (2.7%) | 0 (0.0%) | 13 (1.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100.0%) | 3 (6.3% | 13 (9.6%) | 3 (3.0%) | 20 (7.0%) | 79 (63.7%) | 199 (70.6%) | 290 (60.7%) | 155 (38.1%) | 723 (56.0%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewb | 0 (0.0%) | 44 (91.7%) | 123 (90.4%) | 93 (93.0%) | 260 (91.2%) | 45 (36.3%) | 83 (29.4%) | 175 (36.6%) | 252 (61.9%) | 555 (43.0%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 38 (79.2%) | 66 (48.5%) | 44 (44.0%) | 148 (51.9% | 0 (0.0%) | 21 (7.4%) | 146 (30.5%) | 191 (46.9%) | 358 (27.7%) |
Level 1 Appeal | 0 (0.0%) | 2 (4.2%) | 47 (34.6%) | 34 (34.0%) | 83 (29.1%) | 10 (8.1%) | 20 (7.1%) | 11 (2.3%) | 28 (6.9%) | 69 (5.3%) |
Level 2 Appeal | 0 (0.0%) | 4 (8.3%) | 10 (7.4%) | 15 (15.0%) | 29 (10.2%) | 22 (17.7%) | 32 (11.3%) | 18 (3.8%) | 33 (8.1%) | 105 (8.1%) |
Level 3 Appealc | 0 (0.0%) | N/A (N/A) | N/A (N/A) | N/A (N/A) | 0 (0.0%) | 13 (10.5%) | 10 (3.5%) | N/A (N/A) | N/A(N/A) | 23 (1.8%) |
The administration at each hospital provided labor estimates for workforce dedicated to the review process generated by the RACs based on hourly accounting of one‐quarter of work during 2012, updated to FY 2014 accounting (Table 3). Concurrent case management status determination work was not included in these numbers due to the difficulty in solely attributing concurrent review workforce numbers to the RACs, as concurrent case management is a CMS Condition of Participation irrespective of the RAC program.
JHH | UWHC | UU | Mean | |
---|---|---|---|---|
| ||||
Physicians: assist with status determinations, audits, and appeals | 1.0 | 0.5 | 0.6 | 0.7 |
Nursing administration: audit and appeal preparation | 0.9 | 0.2 | 1.9 | 1.0 |
Legal counsel: assist with rules interpretation, audit, and appeal preparation | 0.2 | 0.3 | 0.1 | 0.2 |
Data analyst: prepare and track reports of audit and appeals | 2.0 | 1.8 | 2.4 | 2.0 |
Administration and other directors | 2.3 | 0.9 | 0.3 | 1.2 |
Total FTE workforce | 6.4 | 3.7 | 5.3 | 5.1 |
Statistics
Descriptive statistics were used to describe the data. Staffing numbers are expressed as full‐time equivalents (FTE).
RESULTS
Yearly Medicare Encounters and RAC Activity of Part A Complex Reviews
RACs audited 8.0% (8110/101,862) of inpatient Medicare cases, alleged noncompliance (all overpayments) for 31.3% (2536/8110) of Part A complex review cases requested, and the hospitals disputed 91.0% (2309/2536) of these assertions. None of these cases of alleged noncompliance claimed the actual medical services were unnecessary. Rather, every Part A complex review overpayment determination by all 3 RACs contested medical necessity related to outpatient versus inpatient status. In 2010 and 2011, there were in aggregate fewer audits (2282), overpayment determinations (680), and appeals or discussion requests (537 of 680, 79.0%), compared to audits (5828), overpayment determinations (1856), and appeals or discussion requests (1772 of 1856, 95.5%) in 2012 and 2013. The hospitals appealed or requested discussion of a greater percentage each successive year (2010, 78.0%; 2011, 79.3%; 2012, 94.1%; and 2013, 98.0%). This increased RAC activity, and hospital willingness to dispute the RAC overpayment determinations equaled a more than 300% increase in appeals and discussion request volume related to Part A complex review audits in just 2 years.
The 16.2% (374/2309) of disputed cases still under discussion or appeal have spent an average mean of 555 days (standard deviation 255 days) without a decision, with time in appeals exceeding 900 days for cases from 2010 and 2011. Notably, the 3 programs were subject to Part A complex review audits at widely different rates (Table 1).
Yearly RAC Part A Complex Review Overpayment Determinations Disputed by Hospitals With Decisions
The hospitals won, either in discussion or appeal, a combined greater percentage of contested overpayment determinations annually, from 36.0% (45/125) in 2010, to 38.5% (127/330) in 2011, to 46.1% (449/973) in 2012, to 68.0% (345/507) in 2013. Overall, for 49.1% (951/1935) of cases with decisions, the hospitals withdrew or rebilled under Part B at some point in the discussion or appeals process to avoid the lengthy appeals process and/or loss of the amount of the entire claim. A total of 49.9% (966/1935) of appeals with decisions have been won in discussion or appeal over the 4‐year study period. One‐third of all resolved cases (33.3%, 645/1935) were decided in favor of the hospital in the discussion period, with these discussion cases accounting for two‐thirds (66.8%, 645/966) of all favorable resolved cases for the hospital. Importantly, if cases overturned in discussion were omitted as they are in federal reports, the hospitals' success rate would fall to 16.6% (321/1935), a number similar to those that appear in annual CMS reports.[9, 13, 14] The hospitals also conceded 18 cases (0.9%) by missing a filing deadline (Table 2).
Estimated Workforce Dedicated to Part A Complex Review Medical Necessity Audits and Appeals
The institutions each employ an average of 5.1 FTE staff to manage the audit and appeal process, a number that does not include concurrent case management staff who assist in daily status determinations (Table 3).
CONCLUSIONS
In this study of 3 academic medical centers, there was a more than 2‐fold increase in RAC audits and a nearly 3‐fold rise in overpayment determinations over the last 2 calendar years of the study, resulting in a more than 3‐fold increase in appeals or requests for discussion in 2012 to 2013 compared to 2010 to 2011. In addition, although CMS manually reviews less than 0.3% of submitted claims each year through programs such as the Recovery Audit Program,[9] at the study hospitals, complex Part A RAC audits occurred at a rate more than 25 times that (8.0%), suggesting that these types of claims are a disproportionate focus of auditing activity. The high overall complex Part A audit rate, accompanied by acceleration of RAC activity and the hospitals' increased willingness to dispute RAC overpayment determinations each year, if representative of similar institutions, would explain the appeals backlog, most notably at the ALJ (level 3) level. Importantly, none of these Part A complex review denials contested a need for the medical care delivered, demonstrating that much of the RAC process at the hospitals focused exclusively on the nuances of medical necessity and variation in interpretation of CMS guidelines that related to whether hospital care should be provided under inpatient or outpatient status.
These data also show continued aggressive RAC audit activity despite an increasing overturn rate in favor of the hospitals in discussion or on appeal each year (from 36.0% in 2010 to 68.0% in 2013). The majority of the hospitals' successful decisions occurred in the discussion period, when the hospital had the opportunity to review the denial with the RAC medical director, a physician, prior to beginning the official appeals process. The 33% overturn rate found in the discussion period represents an error rate by the initial RAC auditors that was internally verified by the RAC medical director. The RAC internal error rate was replicated at 3 different RACs, highlighting internal process problems across the RAC system. This is concerning, because the discussion period is not considered part of the formal appeals process, so these cases are not appearing in CMS or OIG reports of RAC activity, leading to an underestimation of the true successful overturned denial rates at the 3 study hospitals, and likely many other hospitals.
The study hospitals are also being denied timely due process and payments for services delivered. The hospitals currently face an appeals process that, on average, far exceeds 500 days. In almost half of the contested overpayment determinations, the hospitals withdrew a case or rebilled Part B, not due to agreement with a RAC determination, but to avoid the lengthy, cumbersome, and expensive appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. This is concerning, as cases withdrawn in the appeals process are considered improper payments in federal reports, despite a large number of these cases being withdrawn simply to avoid an inefficient appeals process. Notably, Medicare is not adhering to its own rules, which require appeals to be heard in a timely manner, specifically 60 days for level 1 or 2 appeals, and 90 days for a level 3 appeal,[6, 20] even though the hospitals lost the ability to appeal cases when they missed a deadline. Even if hospitals agreed to the recent 68% settlement offer[12] from CMS, appeals may reaccumulate without auditing reform. As noted earlier, this recent settlement offer came more than a year after the enhanced ability to rebill denied Part A claims for Part B, yet the backlog remains.
This study also showed that a large hospital workforce is required to manage the lengthy audit and appeals process generated by RACs. These staff are paid with funds that could be used to provide direct patient care or internal process improvement. The federal government also directly pays for unchecked RAC activity through the complex appeals process. Any report of dollars that RACs recoup for the federal government should be considered in light of their administrative costs to hospitals and government contractors, and direct costs at the federal level.
This study also showed that RACs audited the 3 institutions differently, despite similar willingness of the hospitals to dispute overpayment determinations and similar hospital success rates in appeals or discussion, suggesting that hospital compliance with Medicare policy was not the driver of variable RAC activity. This variation may be due to factors not apparent in this study, such as variable RAC interpretation of federal policy, a decision of a particular RAC to focus on complex Medicare Part B or automated reviews instead of complex Part A reviews, or RAC workforce differences that are not specific to the hospitals. Regardless, the variation in audit activity suggests that greater transparency and accountability in RAC activity is merited.
Perhaps most importantly, this study highlights factors that may help explain differing auditing and appeals numbers reported by the OIG,[4] CMS,[9, 13, 14] and hospitals.[15, 16] Given the marked increase in RAC activity over the last 4 years, the 2010 and 2011 data included in a recent OIG report[4] likely do not represent current auditing and appeals practice. With regard to the CMS reports,[9, 13, 14] although CMS included FY 2013[9] activity in its most recent report, it did not account for denials overturned in the discussion period, as these are not technically appeals, even though these are contested cases decided in favor of the hospital. This most recent CMS report[9] uses overpayment determinations from FY 2013, yet counts appeals and decisions that occurred in 2013, with the comment that these decisions may be for overpayment determinations prior to 2013. The CMS reports also variably combine automated, semiautomated, complex Part A, and complex Part B claims in its reports, making interpretation challenging. Finally, although CMS reported an increase in improper payments recovered from FY 2011[14] ($939 million) to FY 2012[13] ($2.4 billion) to FY 2013[9] ($3.75 billion), this is at least partly a reflection of increased RAC activity as demonstrated in this study, and may reflect the fact that many hospitals do not have the resources to continually appeal or choose not to contest these cases based on a financial business decision. Importantly, these numbers now far exceed recoupment in other quality programs, such as the Readmissions Reduction Program (estimated $428 million next FY),[21] indicating the increased fiscal impact of the RAC program on hospital reimbursement.
To increase accuracy, future federal reports of auditing and appeals should detail and include cases overturned in the discussion period, and carefully describe the denominator of total audits and appeals given the likelihood that many appeals in a given year will not have a decision in that year. Percent of total Medicare claims subject to complex Part A audit should be stated. Reports should also identify and consider an alternative classification for complex Part A cases the hospital elects to rebill under Medicare Part B, and also detail on what grounds medical necessity is being contested (eg, whether the actual care delivered was not necessary or if it is an outpatient versus inpatient billing issue). Time spent in the appeals process must also be reported. Complex Part A, complex Part B, semiautomated, and automated reviews should also be considered separately, and dates of reported audits and appeals must be as current as possible in this rapidly changing environment.
In this study, RACs conducted complex Part A audits at a rate 25 times the CMS‐reported overall audit rate, confirming complex Part A audits are a particular focus of RAC activity. There was a more than doubling of RAC audits at the study hospitals from the years 2010 ‐ 2011 to 2012 ‐ 2013 and a nearly 3‐fold increase in overpayment determinations. Concomitantly, the more than 3‐fold increase in appeals and discussion volume over this same time period was consistent with the development of the current national appeals backlog. The 3 study hospitals won a greater percentage of contested cases each year, from approximately one‐third of cases in 2010 to two‐thirds of cases with decisions in 2013, but there was no appreciable decrease in RAC overpayment determinations over that time period. The majority of successfully challenged cases were won in discussion, favorable decisions for hospitals not appearing in federal appeals reports. Time in appeals exceeded 550 days, causing the hospitals to withdraw some cases to avoid the lengthy appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. The hospitals also lost a small number of appeals by missing a filing deadline, yet there was no reciprocal case concession when the appeals system missed a deadline. RACs found no cases of care at the 3 hospitals that should not have been delivered, but rather challenged the status determination (inpatient vs outpatient) to dispute medical necessity of care delivered. Finally, an average of approximately 5 FTEs at each institution were employed in the audits and appeals process. These data support a need for systematic improvements in the RAC system so that fair, constructive, and cost‐efficient surveillance of the Medicare program can be realized.
Acknowledgements
The authors thank Becky Borchert, MS, RN BC, ACM, CPHQ, Program Manager for Medicare/Medicaid Utilization Review at the University of Wisconsin Hospital and Clinics; Carol Duhaney and Joan Kratz, RN, at Johns Hopkins Hospital; and Morgan Walker at the University of Utah for their assistance in data preparation and presentation. Without their meticulous work and invaluable assistance, this study would not have been possible. The authors also thank Josh Boswell, JD, for his critical review of the manuscript.
Disclosure: Nothing to report.
Medicare patients are increasingly hospitalized as outpatients under observation. From 2006 to 2012, outpatient services grew nationally by 28.5%, whereas inpatient discharges decreased by 12.6% per Medicare beneficiary.[1] This increased use of observation stays for hospitalized Medicare beneficiaries and the recent Centers for Medicare & Medicaid Services (CMS) 2‐Midnight rule for determination of visit status are increasing areas of concern for hospitals, policymakers, and the public,[2] as patients hospitalized under observation are not covered by Medicare Part A hospital insurance, are subject to uncapped out‐of‐pocket charges under Medicare Part B, and may be billed by the hospital for certain medications. Additionally, Medicare beneficiaries hospitalized in outpatient status, which includes all hospitalizations under observation, do not qualify for skilled nursing facility care benefits after discharge, which requires a stay that spans at least 3 consecutive midnights as an inpatient.[3]
In contrast, the federal Recovery Audit program, previously called and still commonly referred to as the Recovery Audit Contractor (RAC) program, responsible for postpayment review of inpatient claims, has received relatively little attention. Established in 2006, and fully operationalized in federal fiscal year (FY) 2010,[4] RACs are private government contractors granted the authority to audit hospital charts for appropriate medical necessity, which can consider whether the care delivered was indicated and whether it was delivered in the appropriate Medicare visit status, outpatient or inpatient. Criteria for hospitalization status (inpatient vs outpatient) as defined in the Medicare Conditions of Participation, often allow for subjectivity (medical judgment) in determining which status is appropriate.[5] Hospitals may contest RAC decisions and payment denials through a preappeals discussion period, then through a 5‐level appeals process. Although early appeals occur between the hospital and private contractors, appeals reaching level 3 are heard by the Department of Health and Human Services (HHS) Office of Medicare Hearings and Appeals (OMHA) Administrative Law Judges (ALJ). Levels 4 (Medicare Appeals Council) and 5 (United States District Court) appeals are also handled by the federal government.[6]
Medicare fraud and abuse should not be tolerated, and systematic surveillance needs to be an integral part of the Medicare program.[4] However, there are increasing concerns that the RAC program has resulted in overaggressive denials.[7, 8] Unlike other Medicare contractors, RAC auditors are paid a contingency fee based on the percentage of hospital payment recouped for cases they audit and deny for improper payment.[4] RACs are not subject to any financial penalty for cases they deny but are overturned in the discussion period or in the appeals process. This may create an incentive system that financially encourages RACs to assert improper payment, and the current system lacks both transparency and clear performance metrics for auditors. Of particular concern are Medicare Part A complex reviews, the most fiscally impactful area of RAC activity. According to CMS FY 2013 data, 41.1% of all claims with collections were complex reviews, yet these claims accounted for almost all (95.2%) of total dollars recovered by the RACs, with almost all (96%) dollars recovered being from Part A claims.[9] Complex reviews involve an auditor retrospectively and manually reviewing a medical record and then using his or her clinical and related professional judgment to decide whether the care was medically necessary. This is compared to automated coding or billing reviews, which are based solely on claims data.
Increased RAC activity and the willingness of hospitals to challenge RAC findings of improper payment has led to an increase in appeals volume that has overloaded the appeals process. On March 13, 2013, CMS offered hospitals the ability to rebill Medicare Part B as an appeals alternative.[10] This did not temper level 3 appeals requests received by the OMHA, which increased from 1250 per week in January 2012 to over 15,000 per week by November 2013.[11] Citing an overwhelmingly increased rate of appeal submissions and the resultant backlog, the OMHA decided to freeze new hospital appeals assignments in December 2013.[11] In another attempt to clear the backlog, on August 29, 2014, CMS offered a settlement that would pay hospitals 68% of the net allowable amount of the original Part A claim (minus any beneficiary deductibles) if a hospital agreed to concede all of its eligible appeals.[12] Notably, cases settled under this agreement would remain officially categorized as denied for improper payment.
The HHS Office of Inspector General (OIG)[4] and the CMS[9, 13, 14] have produced recent reports of RAC auditing and appeals activity that contain variable numbers that conflict with hospital accounts of auditing and appeals activity.[15, 16] In addition to these conflicting reports, little is known about RAC auditing of individual programs over time, the length of time cases spend in appeals, and staff required to navigate the audit and appeals processes. Given these questions, and the importance of RAC auditing pressure in the growth of hospital observation care, we conducted a retrospective descriptive study of all RAC activity for complex Medicare Part A alleged overpayment determinations at the Johns Hopkins Hospital, the University of Utah, and University of Wisconsin Hospital and Clinics for calendar years 2010 to 2013.
METHODS
The University of Wisconsin‐Madison Health Sciences institutional review board (IRB) and the Johns Hopkins Hospital IRB did not require review of this study. The University of Utah received an exemption. All 3 hospitals are tertiary care academic medical centers. The University of Wisconsin Hospital and Clinics (UWHC) is a 592‐bed hospital located in Madison, Wisconsin,[17] the Johns Hopkins Hospital (JHH) is a 1145‐bed medical center located in Baltimore, Maryland,[18] and the University of Utah Hospital (UU) is a 770‐bed facility in Salt Lake City, Utah (information available upon request). Each hospital is under a different RAC, representing 3 of the 4 RAC regions, and each is under a different Medicare Administrative Contractor, contractors responsible for level 1 appeals. The 3 hospitals have the same Qualified Independent Contractor responsible for level 2 appeals.
For the purposes of this study, any chart or medical record requested for review by an RAC was considered a medical necessity chart request or an audit. The terms overpayment determinations and denials were used interchangeably to describe audits the RACs alleged did not meet medical necessity for Medicare Part A billing. As previously described, the term medical necessity specifically considered not only whether actual medical services were appropriate, but also whether the services were delivered in the appropriate status, outpatient or inpatient. Appeals and/or request for discussion were cases where the overpayment determination was disputed and challenged by the hospital.
All complex review Medicare Part A RAC medical record requests by date of RAC request from the official start of the RAC program, January 1, 2010,[4] to December 31, 2013, were included in this study. Medical record requests for automated reviews that related to coding and billing clarifications were not included in this study, nor were complex Medicare Part B reviews, complex reviews for inpatient rehabilitation facilities, or psychiatric day hospitalizations. Notably, JHH is a Periodic Interim Payment (PIP) Medicare hospital, which is a reimbursement mechanism where biweekly payments [are] made to a Provider enrolled in the PIP program, and are based on the hospital's estimate of applicable Medicare reimbursement for the current cost report period.[19] Because PIP payments are made collectively to the hospital based on historical data, adjustments for individual inpatients could not be easily adjudicated and processed. Due to the increased complexity of this reimbursement mechanism, RAC audits did not begin at JHH until 2012. In addition, in contrast to the other 2 institutions, all of the RAC complex review audits at JHH in 2013 were for Part B cases, such as disputing need for intensity‐modulated radiation therapy versus conventional radiation therapy, or contesting the medical necessity of blepharoplasty. As a result, JHH had complex Part A review audits only for 2012 during the study time period. All data were deidentified prior to review by investigators.
As RACs can audit charts for up to 3 years after the bill is submitted,[13] a chart request in 2013 may represent a 2010 hospitalization, but for purposes of this study, was logged as a 2013 case. There currently is no standard methodology to calculate time spent in appeals. The UWHC and JHH calculate time in discussion or appeals from the day the discussion or appeal was initiated by the hospital, and the UU calculates the time in appeals from the date of the findings letter from the RAC, which makes comparable recorded time in appeals longer at UU (estimated 510 days for 20112013 cases, up to 120 days for 2010 cases).Time in appeals includes all cases that remain in the discussion or appeals process as of June 30, 2014.
The RAC process is as follows (Tables 1 and 2):
- The RAC requests hospital claims (RAC Medical Necessity Chart Requests [Audits]).
- The RAC either concludes the hospital claim was compliant as filed/paid and the process ends or the RAC asserts improper payment and requests repayment (RAC Overpayment Determinations of Requested Charts [Denials]).
- The hospital makes an initial decision to not contest the RAC decision (and repay), or to dispute the decision (Hospital Disputes Overpayment Determination [Appeal/Discussion]). Prior to filing an appeal, the hospital may request a discussion of the case with an RAC medical director, during which the RAC medical director can overturn the original determination. If the RAC declines to overturn the decision in discussion, the hospital may proceed with a formal appeal. Although CMS does not calculate the discussion period as part of the appeals process,[12] overpayment determinations contested by the hospital in either discussion or appeal represent the sum total of RAC denials disputed by the hospital.
Contested cases have 1 of 4 outcomes:
Contested overpayment determinations can be decided in favor of the hospital (Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew)
- Contested overpayment determinations can be decided in favor of the RAC during the appeal process, and either the hospital exhausts the appeal process or elects not to take the appeal to the next level. Although the appeals process has 5 levels, no cases at our 3 hospitals have reached level 4 or 5, so cases without a decision to date remain in appeals at 1 of the first 3 levels (Case Still in Discussion or Appeals).[4]
- Hospital may miss an appeal deadline (Hospital Missed Appeal Deadline at Any Level) and the case is automatically decided in favor of the RAC.
- As of March 13, 2013,[10] for appeals that meet certain criteria and involve dispute over the billing of hospital services under Part A, CMS allowed hospitals to withdraw an appeal and rebill Medicare Part B. Prior to this time, hospitals could rebill for a very limited list of ancillary Part B Only services, and only within the 1‐year timely filing period.[13] Due to the lengthy appeals process and associated legal and administrative costs, hospitals may not agree with the RAC determination but make a business decision to recoup some payment under this mechanism (Hospital Chose to Rebill as Part B During Discussion or Appeals Process).
Totals | Johns Hopkins Hospital | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
University of Wisconsin Hospital and Clinics | University of Utah | ||||||||||
2010 | 2011 | 2012 | 2013 | All Years | 2010 | 2011 | 2012 | 2013 | All Years | ||
| |||||||||||
Total no. of Medicare encounters | 24,400 | 24,998 | 25,370 | 27,094 | 101,862 | 11,212b | 11,750b | 11,842 | 12,674c | 47,478 | |
RAC Medical Necessity Chart Requests (Audits) | 547 | 1,735 | 3,887 | 1,941 | 8,110 (8.0%) | 0 | 0 | 938 | 0 | 938 (2.0%) | |
RAC Overpayment Determinations Of Requested Charts (Denials)d | 164 (30.0%) | 516 (29.7%) | 1,200 (30.9%) | 656 (33.8%) | 2,536 (31.3%) | 0 (0%) | 0 (0%) | 432 (46.1%) | 0 (0%) | 432 (46.1%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 128 (78.0%) | 409 (79.3%) | 1,129 (94.1%) | 643 (98.0%) | 2,309 (91.0% | 0 (0%) | 0 (0%) | 431 (99.8%) | 0 (0%) | 431 (99.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.2%) | 13 (1.2%) | 4 (0.6%) | 18 (0.8%) | 0 (0%) | 0 (0%) | 0 (0.0%) | 0 (0%) | 0 (0.0%) | |
Hospital Chose To Rebill as Part B During Discussion Or Appeals Process | 80 (62.5%) | 202 (49.4%) | 511 (45.3%) | 158 (24.6%) | 951 (41.2%) | 0 (0%) | 0 (0%) | 208 (48.3%) | 0 (0%) | 208 (48.3%) | |
Discussion or Appeal Decided In Favor Of Hospital or RAC Withdrewf | 45 (35.2%) | 127 (31.1%) | 449 (39.8%) | 345 (53.7%) | 966 (41.8%) | 0 (0%) | 0 (0%) | 151 (35.0%) | 0 (0%) | 151 (35.0%) | |
Case Still in Discussion or Appeals | 3 (2.3%) | 79 (19.3%) | 156 13.8%) | 136 (21.2%) | 374 (16.2%) | 0 (0%) | 0 (0%) | 72 (16.7%) | 0 (0%) | 72 (16.7%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | 1208 (41) | 958 (79) | 518 (125) | 350 (101) | 555 (255) | N/A | N/A | 478 (164) | N/A | 478 (164) | |
Total no. of Medicare encounters l | 8,096 | 8,038 | 8,429 | 9,086 | 33,649 | 5,092 | 5,210 | 5,099 | 5,334 | 20,735 | |
RAC Medical Necessity Chart Requests (Audits) | 15 | 526 | 1,484 | 960 | 2,985 (8.9%) | 532 | 1,209 | 1,465 | 981 | 4,187 (20.2%) | |
RAC Overpayment Determinations of Requested Charts (Denials)bd | 3 (20.0%) | 147 (27.9%) | 240 (16.2%) | 164 (17.1%) | 554 (18.6%) | 161 (30.3%) | 369 (30.5%) | 528 (36.0%) | 492 (50.2%) | 1,550 (37.0%) | |
Hospital Disputes Overpayment Determination (Appeal/Discussion) | 1 (33.3%) | 71 (48.3%) | 170 (70.8%) | 151 (92.1%) | 393 (70.9%) | 127 (78.9%) | 338 (91.6%) | 528 (100.0%) | 492 (100.0%) | 1,485 (95.8%) | |
Outcome of Disputed Overpayment Determinatione | |||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (1.4%) | 0 (0.0%) | 4 (2.6%) | 5 (1.3%) | 0 (0.0%) | 0 (0.0%) | 13 (2.5%) | 0 (0.0%) | 13 (0.9%) | |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100%) | 3 (4.2%) | 13 (7.6%) | 3 (2.0%) | 20 (5.1%) | 79 (62.2%) | 199 (58.9%) | 290 (54.9%) | 155 (31.5%) | 723 (48.7%) | |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewf | 0 (0.0%) | 44 (62.0%) | 123 (72.4%) | 93 (61.6%) | 260 (66.2%) | 45 (35.4%) | 83 (24.6%) | 175 (33.1%) | 252 (51.2%) | 555 (37.4%) | |
Case Still in Discussion or Appeals | 0 0.0% | 23 (32.4%) | 34 (20.0%) | 51 (33.8%) | 108 (27.5%) | 3 (2.4%) | 56 (16.6%) | 50 (9.5%) | 85 (17.3%) | 194 (13.1%) | |
Mean Time for Cases Still in Discussion or Appeals, d (SD) | N/A | 926 (70) | 564 (90) | 323 (134) | 528 (258) | 1,208 (41) | 970 (80) | 544 (25) | 365 (72) | 599 (273) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
---|---|---|---|---|---|---|---|---|---|---|
Total Appeals With Decisions | Johns Hopkins Hospital | |||||||||
Total no. | 125 | 330 | 973 | 507 | 1,935 | 0 | 0 | 359 | 0 | 359 |
| ||||||||||
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (0.3%) | 13 (1.3%) | 4 (0.8%) | 18 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 80 (64.0%) | 202 (61.2%) | 511 (52.5%) | 158 (31.2%) | 951 (49.1%) | 0 (0.0%) | 0 (0.0%) | 208 (57.9%) | 0 (0.0%) | 208 (57.9%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrew | 45 (36.0%) | 127 (38.5%) | 449 (46.1%) | 345 (68.0%) | 966 (49.9%) | 0 (0.0%) | 0 (0.0%) | 151 (42.1%) | 0 (0.0%) | 151 (42.1%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 59 (17.9%) | 351 (36.1%) | 235 (46.4%) | 645 (33.3%) | 0 (0.0%) | 0 (0.0%) | 139 (38.7%) | 0 (0.0%) | 139 (38.7%) |
Level 1 Appeal | 10 (8.0%) | 22 (6.7%) | 60 (6.2%) | 62 (12.2%)1 | 154 (8.0%) | 0 (0.0%) | 0 (0.0%) | 2 (0.6%) | 0 (0.0%) | 2 (0.6%) |
Level 2 Appeal | 22 (17.6%) | 36 (10.9%) | 38 (3.9%) | 48 (9.5%)1 | 144 (7.4%) | 0 (0.0%) | 0 (0.0%) | 10 (2.8%) | 0 (0.0%) | 10 (2.8%) |
Level 3 Appealc | 13 (10.4%) | 10 (3.0%) | N/A (N/A) | N/A (N/A) | 23 (1.2%) | 0 (0.0%) | 0 (0.0%) | N/A (N/A) | 0 (0.0%) | 0 (0.0%) |
2010 | 2011 | 2012 | 2013 | All | 2010 | 2011 | 2012 | 2013 | All | |
University of Wisconsin Hospital and Clinics | University of Utah | |||||||||
Total no. | 1 | 48 | 136 | 100 | 285 | 124 | 282 | 478 | 407 | 1,291 |
Hospital Missed Appeal Deadline at Any Level | 0 (0.0%) | 1 (2.1% | 0 (0.0%) | 4 (4.0%) | 5 (1.8%) | 0 (0.0%) | 0 (0.0%) | 13 (2.7%) | 0 (0.0%) | 13 (1.0%) |
Hospital Chose to Rebill as Part B During Discussion or Appeals Process | 1 (100.0%) | 3 (6.3% | 13 (9.6%) | 3 (3.0%) | 20 (7.0%) | 79 (63.7%) | 199 (70.6%) | 290 (60.7%) | 155 (38.1%) | 723 (56.0%) |
Discussion or Appeal Decided in Favor of Hospital or RAC Withdrewb | 0 (0.0%) | 44 (91.7%) | 123 (90.4%) | 93 (93.0%) | 260 (91.2%) | 45 (36.3%) | 83 (29.4%) | 175 (36.6%) | 252 (61.9%) | 555 (43.0%) |
Discussion Period and RAC Withdrawals | 0 (0.0%) | 38 (79.2%) | 66 (48.5%) | 44 (44.0%) | 148 (51.9% | 0 (0.0%) | 21 (7.4%) | 146 (30.5%) | 191 (46.9%) | 358 (27.7%) |
Level 1 Appeal | 0 (0.0%) | 2 (4.2%) | 47 (34.6%) | 34 (34.0%) | 83 (29.1%) | 10 (8.1%) | 20 (7.1%) | 11 (2.3%) | 28 (6.9%) | 69 (5.3%) |
Level 2 Appeal | 0 (0.0%) | 4 (8.3%) | 10 (7.4%) | 15 (15.0%) | 29 (10.2%) | 22 (17.7%) | 32 (11.3%) | 18 (3.8%) | 33 (8.1%) | 105 (8.1%) |
Level 3 Appealc | 0 (0.0%) | N/A (N/A) | N/A (N/A) | N/A (N/A) | 0 (0.0%) | 13 (10.5%) | 10 (3.5%) | N/A (N/A) | N/A(N/A) | 23 (1.8%) |
The administration at each hospital provided labor estimates for workforce dedicated to the review process generated by the RACs based on hourly accounting of one‐quarter of work during 2012, updated to FY 2014 accounting (Table 3). Concurrent case management status determination work was not included in these numbers due to the difficulty in solely attributing concurrent review workforce numbers to the RACs, as concurrent case management is a CMS Condition of Participation irrespective of the RAC program.
JHH | UWHC | UU | Mean | |
---|---|---|---|---|
| ||||
Physicians: assist with status determinations, audits, and appeals | 1.0 | 0.5 | 0.6 | 0.7 |
Nursing administration: audit and appeal preparation | 0.9 | 0.2 | 1.9 | 1.0 |
Legal counsel: assist with rules interpretation, audit, and appeal preparation | 0.2 | 0.3 | 0.1 | 0.2 |
Data analyst: prepare and track reports of audit and appeals | 2.0 | 1.8 | 2.4 | 2.0 |
Administration and other directors | 2.3 | 0.9 | 0.3 | 1.2 |
Total FTE workforce | 6.4 | 3.7 | 5.3 | 5.1 |
Statistics
Descriptive statistics were used to describe the data. Staffing numbers are expressed as full‐time equivalents (FTE).
RESULTS
Yearly Medicare Encounters and RAC Activity of Part A Complex Reviews
RACs audited 8.0% (8110/101,862) of inpatient Medicare cases, alleged noncompliance (all overpayments) for 31.3% (2536/8110) of Part A complex review cases requested, and the hospitals disputed 91.0% (2309/2536) of these assertions. None of these cases of alleged noncompliance claimed the actual medical services were unnecessary. Rather, every Part A complex review overpayment determination by all 3 RACs contested medical necessity related to outpatient versus inpatient status. In 2010 and 2011, there were in aggregate fewer audits (2282), overpayment determinations (680), and appeals or discussion requests (537 of 680, 79.0%), compared to audits (5828), overpayment determinations (1856), and appeals or discussion requests (1772 of 1856, 95.5%) in 2012 and 2013. The hospitals appealed or requested discussion of a greater percentage each successive year (2010, 78.0%; 2011, 79.3%; 2012, 94.1%; and 2013, 98.0%). This increased RAC activity, and hospital willingness to dispute the RAC overpayment determinations equaled a more than 300% increase in appeals and discussion request volume related to Part A complex review audits in just 2 years.
The 16.2% (374/2309) of disputed cases still under discussion or appeal have spent an average mean of 555 days (standard deviation 255 days) without a decision, with time in appeals exceeding 900 days for cases from 2010 and 2011. Notably, the 3 programs were subject to Part A complex review audits at widely different rates (Table 1).
Yearly RAC Part A Complex Review Overpayment Determinations Disputed by Hospitals With Decisions
The hospitals won, either in discussion or appeal, a combined greater percentage of contested overpayment determinations annually, from 36.0% (45/125) in 2010, to 38.5% (127/330) in 2011, to 46.1% (449/973) in 2012, to 68.0% (345/507) in 2013. Overall, for 49.1% (951/1935) of cases with decisions, the hospitals withdrew or rebilled under Part B at some point in the discussion or appeals process to avoid the lengthy appeals process and/or loss of the amount of the entire claim. A total of 49.9% (966/1935) of appeals with decisions have been won in discussion or appeal over the 4‐year study period. One‐third of all resolved cases (33.3%, 645/1935) were decided in favor of the hospital in the discussion period, with these discussion cases accounting for two‐thirds (66.8%, 645/966) of all favorable resolved cases for the hospital. Importantly, if cases overturned in discussion were omitted as they are in federal reports, the hospitals' success rate would fall to 16.6% (321/1935), a number similar to those that appear in annual CMS reports.[9, 13, 14] The hospitals also conceded 18 cases (0.9%) by missing a filing deadline (Table 2).
Estimated Workforce Dedicated to Part A Complex Review Medical Necessity Audits and Appeals
The institutions each employ an average of 5.1 FTE staff to manage the audit and appeal process, a number that does not include concurrent case management staff who assist in daily status determinations (Table 3).
CONCLUSIONS
In this study of 3 academic medical centers, there was a more than 2‐fold increase in RAC audits and a nearly 3‐fold rise in overpayment determinations over the last 2 calendar years of the study, resulting in a more than 3‐fold increase in appeals or requests for discussion in 2012 to 2013 compared to 2010 to 2011. In addition, although CMS manually reviews less than 0.3% of submitted claims each year through programs such as the Recovery Audit Program,[9] at the study hospitals, complex Part A RAC audits occurred at a rate more than 25 times that (8.0%), suggesting that these types of claims are a disproportionate focus of auditing activity. The high overall complex Part A audit rate, accompanied by acceleration of RAC activity and the hospitals' increased willingness to dispute RAC overpayment determinations each year, if representative of similar institutions, would explain the appeals backlog, most notably at the ALJ (level 3) level. Importantly, none of these Part A complex review denials contested a need for the medical care delivered, demonstrating that much of the RAC process at the hospitals focused exclusively on the nuances of medical necessity and variation in interpretation of CMS guidelines that related to whether hospital care should be provided under inpatient or outpatient status.
These data also show continued aggressive RAC audit activity despite an increasing overturn rate in favor of the hospitals in discussion or on appeal each year (from 36.0% in 2010 to 68.0% in 2013). The majority of the hospitals' successful decisions occurred in the discussion period, when the hospital had the opportunity to review the denial with the RAC medical director, a physician, prior to beginning the official appeals process. The 33% overturn rate found in the discussion period represents an error rate by the initial RAC auditors that was internally verified by the RAC medical director. The RAC internal error rate was replicated at 3 different RACs, highlighting internal process problems across the RAC system. This is concerning, because the discussion period is not considered part of the formal appeals process, so these cases are not appearing in CMS or OIG reports of RAC activity, leading to an underestimation of the true successful overturned denial rates at the 3 study hospitals, and likely many other hospitals.
The study hospitals are also being denied timely due process and payments for services delivered. The hospitals currently face an appeals process that, on average, far exceeds 500 days. In almost half of the contested overpayment determinations, the hospitals withdrew a case or rebilled Part B, not due to agreement with a RAC determination, but to avoid the lengthy, cumbersome, and expensive appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. This is concerning, as cases withdrawn in the appeals process are considered improper payments in federal reports, despite a large number of these cases being withdrawn simply to avoid an inefficient appeals process. Notably, Medicare is not adhering to its own rules, which require appeals to be heard in a timely manner, specifically 60 days for level 1 or 2 appeals, and 90 days for a level 3 appeal,[6, 20] even though the hospitals lost the ability to appeal cases when they missed a deadline. Even if hospitals agreed to the recent 68% settlement offer[12] from CMS, appeals may reaccumulate without auditing reform. As noted earlier, this recent settlement offer came more than a year after the enhanced ability to rebill denied Part A claims for Part B, yet the backlog remains.
This study also showed that a large hospital workforce is required to manage the lengthy audit and appeals process generated by RACs. These staff are paid with funds that could be used to provide direct patient care or internal process improvement. The federal government also directly pays for unchecked RAC activity through the complex appeals process. Any report of dollars that RACs recoup for the federal government should be considered in light of their administrative costs to hospitals and government contractors, and direct costs at the federal level.
This study also showed that RACs audited the 3 institutions differently, despite similar willingness of the hospitals to dispute overpayment determinations and similar hospital success rates in appeals or discussion, suggesting that hospital compliance with Medicare policy was not the driver of variable RAC activity. This variation may be due to factors not apparent in this study, such as variable RAC interpretation of federal policy, a decision of a particular RAC to focus on complex Medicare Part B or automated reviews instead of complex Part A reviews, or RAC workforce differences that are not specific to the hospitals. Regardless, the variation in audit activity suggests that greater transparency and accountability in RAC activity is merited.
Perhaps most importantly, this study highlights factors that may help explain differing auditing and appeals numbers reported by the OIG,[4] CMS,[9, 13, 14] and hospitals.[15, 16] Given the marked increase in RAC activity over the last 4 years, the 2010 and 2011 data included in a recent OIG report[4] likely do not represent current auditing and appeals practice. With regard to the CMS reports,[9, 13, 14] although CMS included FY 2013[9] activity in its most recent report, it did not account for denials overturned in the discussion period, as these are not technically appeals, even though these are contested cases decided in favor of the hospital. This most recent CMS report[9] uses overpayment determinations from FY 2013, yet counts appeals and decisions that occurred in 2013, with the comment that these decisions may be for overpayment determinations prior to 2013. The CMS reports also variably combine automated, semiautomated, complex Part A, and complex Part B claims in its reports, making interpretation challenging. Finally, although CMS reported an increase in improper payments recovered from FY 2011[14] ($939 million) to FY 2012[13] ($2.4 billion) to FY 2013[9] ($3.75 billion), this is at least partly a reflection of increased RAC activity as demonstrated in this study, and may reflect the fact that many hospitals do not have the resources to continually appeal or choose not to contest these cases based on a financial business decision. Importantly, these numbers now far exceed recoupment in other quality programs, such as the Readmissions Reduction Program (estimated $428 million next FY),[21] indicating the increased fiscal impact of the RAC program on hospital reimbursement.
To increase accuracy, future federal reports of auditing and appeals should detail and include cases overturned in the discussion period, and carefully describe the denominator of total audits and appeals given the likelihood that many appeals in a given year will not have a decision in that year. Percent of total Medicare claims subject to complex Part A audit should be stated. Reports should also identify and consider an alternative classification for complex Part A cases the hospital elects to rebill under Medicare Part B, and also detail on what grounds medical necessity is being contested (eg, whether the actual care delivered was not necessary or if it is an outpatient versus inpatient billing issue). Time spent in the appeals process must also be reported. Complex Part A, complex Part B, semiautomated, and automated reviews should also be considered separately, and dates of reported audits and appeals must be as current as possible in this rapidly changing environment.
In this study, RACs conducted complex Part A audits at a rate 25 times the CMS‐reported overall audit rate, confirming complex Part A audits are a particular focus of RAC activity. There was a more than doubling of RAC audits at the study hospitals from the years 2010 ‐ 2011 to 2012 ‐ 2013 and a nearly 3‐fold increase in overpayment determinations. Concomitantly, the more than 3‐fold increase in appeals and discussion volume over this same time period was consistent with the development of the current national appeals backlog. The 3 study hospitals won a greater percentage of contested cases each year, from approximately one‐third of cases in 2010 to two‐thirds of cases with decisions in 2013, but there was no appreciable decrease in RAC overpayment determinations over that time period. The majority of successfully challenged cases were won in discussion, favorable decisions for hospitals not appearing in federal appeals reports. Time in appeals exceeded 550 days, causing the hospitals to withdraw some cases to avoid the lengthy appeals process and/or to minimize the risk of losing the amount of the entire Part A claim. The hospitals also lost a small number of appeals by missing a filing deadline, yet there was no reciprocal case concession when the appeals system missed a deadline. RACs found no cases of care at the 3 hospitals that should not have been delivered, but rather challenged the status determination (inpatient vs outpatient) to dispute medical necessity of care delivered. Finally, an average of approximately 5 FTEs at each institution were employed in the audits and appeals process. These data support a need for systematic improvements in the RAC system so that fair, constructive, and cost‐efficient surveillance of the Medicare program can be realized.
Acknowledgements
The authors thank Becky Borchert, MS, RN BC, ACM, CPHQ, Program Manager for Medicare/Medicaid Utilization Review at the University of Wisconsin Hospital and Clinics; Carol Duhaney and Joan Kratz, RN, at Johns Hopkins Hospital; and Morgan Walker at the University of Utah for their assistance in data preparation and presentation. Without their meticulous work and invaluable assistance, this study would not have been possible. The authors also thank Josh Boswell, JD, for his critical review of the manuscript.
Disclosure: Nothing to report.
- Medicare Payment Advisory Commission. Hospital inpatient and observation services. 2014 Report to Congress. Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed September 22, 2014.
- American Hospital Association “2‐midnight rule” lawsuit vs Department of Health and Human Services. Available at: http://www.aha.org/content/14/140414‐complaint‐2midnight.pdf. Accessed August 8, 2014.
- Centers for Medicare administrative law judge hearing program for Medicare claim appeals. Fed Regist. 2014;79(214): 65660 – 65663. Available at: http://www.hhs.gov/omha/files/omha_federal_register_notice_2014–26214.pdf. Accessed December 6, 2014.
- http://kaiserhealthnews.org/news/medicare‐readmissions‐penalties‐2015. Accessed November 30, 2014. . Medicare fines 2,610 hospitals in third round of readmission penalties. Kaiser Health News. Available at:
- Medicare Payment Advisory Commission. Hospital inpatient and observation services. 2014 Report to Congress. Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed September 22, 2014.
- American Hospital Association “2‐midnight rule” lawsuit vs Department of Health and Human Services. Available at: http://www.aha.org/content/14/140414‐complaint‐2midnight.pdf. Accessed August 8, 2014.
- Centers for Medicare administrative law judge hearing program for Medicare claim appeals. Fed Regist. 2014;79(214): 65660 – 65663. Available at: http://www.hhs.gov/omha/files/omha_federal_register_notice_2014–26214.pdf. Accessed December 6, 2014.
- http://kaiserhealthnews.org/news/medicare‐readmissions‐penalties‐2015. Accessed November 30, 2014. . Medicare fines 2,610 hospitals in third round of readmission penalties. Kaiser Health News. Available at:
© 2015 Society of Hospital Medicine
Inpatient vs Outpatient Hospitalization
Status determinations (outpatient versus inpatient) for hospitalized patients have become a routine part of patient care in the United States. Under the guidance provided by the Medicare Benefits Policy Manual, hospitalized Medicare beneficiaries are assigned 1 of these 2 statuses. The status assignment does not affect the care a patient can receive, but rather how the hospital services provided are billed to Medicare. Hospital services provided under inpatient status are billed under Medicare Part A. Hospital services provided under outpatient status, which includes all patients receiving observation services (commonly referred to as under observation), are billed under Medicare Part B. Whether hospital services are billed under Part A or Part B is important to hospitals and Medicare beneficiaries, as both the hospital reimbursement and beneficiary liability can vary greatly depending on whether services are billed under Part A versus Part B. Hospitals are generally reimbursed at a higher rate for services provided as an inpatient (Part A). The Office of the Inspector General (OIG) recently found that Medicare paid nearly three times more for a short inpatient stay than an [outpatient] stay for the same condition.[1] Medicare beneficiary liability also varies based on status. First, beneficiaries hospitalized as inpatients are subject to a deductible under Part A ($1,216 in 2014) for hospital services associated with that hospitalization and any future inpatient hospitalization beyond 60 days of discharge.[2] Beneficiaries hospitalized as outpatients are subject to the Medicare Part B deductible ($147 in 2014), and then a 20% copay on each individual outpatient hospital service, with no cumulative limit.[2, 3] In addition, hospital pharmacy charges for Medicare beneficiaries hospitalized as inpatients are covered under Medicare A. However, for Medicare patients hospitalized as outpatients, many medications are not covered by Medicare Part B benefits. Finally, time spent hospitalized as an outpatient does not count toward the Medicare 3‐day medically necessary inpatient stay requirement to qualify for the skilled nursing facility care benefit following discharge.
HISTORY AND INTENT OF INPATIENT AND OUTPATIENT STATUS DETERMINATIONS
Prior to October 1, 2013, the Centers for Medicare & Medicaid Services (CMS) stated that physician judgment and an expectation of at least an overnight hospitalization should determine inpatient status of hospitalized Medicare beneficiaries. Guidance as to when inpatient services were covered was found in the Medicare Benefits Policy Manual (MBPM)[4]:
An inpatient is a person who has been admitted to a hospital for bed occupancy for purposes of receiving inpatient hospital services. Generally, a patient is considered an inpatient if formally admitted as inpatient with the expectation that he or she will remain at least overnight and occupy a bed even though it later develops that the patient can be discharged or transferred to another hospital and not actually use a hospital bed overnight. The physician or other practitioner responsible for a patient's care at the hospital is also responsible for deciding whether the patient should be admitted as an inpatient. Physicians should use a 24‐hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis. However, the decision to admit a patient is a complex medical judgment that can be made only after the physician has considered a number of factors, including the patient's medical history and current medical needs, the types of facilities available to inpatients and to outpatients, the hospital's by‐laws and admissions policies, and the relative appropriateness of treatment in each setting.
For a subset of patients who are hospitalized under outpatient status, billing for observation services is allowed. CMS defines observation as a well defined set of services, that should last less than 24 hours and in only rare and exceptional casesspan more than 48 hours.[5] Many providers recognize the utility of a few additional hours of hospital care and/or testing in a hospital setting to determine whether a patient can go home or needs additional evaluation, monitoring, and/or treatment that can only be provided in a hospital, consistent with the CMS definition of observation.[6] It is important to note that although observation and outpatient are frequently used interchangeably, only outpatient is technically a CMS status. Patients in observation or under observation are, in fact, a subset of patients who are hospitalized under an outpatient status.
Outpatient status may also be appropriate for patients who require hospitalization for routine and expected overnight monitoring following a procedure. These patients are often not eligible for billing of observation services or as an inpatient because alternative methods of billing for the recovery time following the procedure exist. When determining the appropriate status of a Medicare beneficiary for a hospitalization following a procedure, physicians need to be aware of whether a specific procedure appears on the Medicare inpatient‐only procedures list.[7] Per CMS, procedures designated as inpatient only are reimbursed only when the patient is admitted as an inpatient at the time the procedure is performed.[8] Conversely, outpatient status for an overnight hospitalization associated with a procedure not on the inpatient‐only list is generally appropriate. Therefore, patients hospitalized for a procedure that appears on this list should always be hospitalized under inpatient status, regardless of the amount of time that the patient is expected to be hospitalized following the procedure, including those cases for which the hospitalization is expected to be only overnight.[7, 8] Only a limited number of Current Procedural Technology (CPT) codes, mostly surgical, automatically qualify for inpatient status and do not have outpatient prospective payment system eligibility. Although most procedures on the inpatient‐only list are associated with a hospitalization that commonly span at least 2 midnights, such as coronary artery bypass grafting, some potentially overnight stay cases, such as cholecystectomy (CPT 47600) appear on the 2014 inpatient‐only list.[9]
As noted above, prior to October 1, 2013, the Medicare definitions governing outpatient versus inpatient status included a 24‐hour benchmark. However, the MBPM also notes that: Admissions of particular patients are not covered or non‐covered solely on the basis of the length of time the patient actually spends in the hospital.[10]
In practice, status determination was ultimately dependent on physician or other practitioner's complex medical judgment as specified by CMS. To validate this judgment, CMS recommended that reviewers use a screening tool as part of their medical review. This screening tool could include practice guidelines that are well accepted by the medical community but did not require or identify a specific criteria set.[11] Not surprisingly, there was and continues to be great variability in the application of outpatient versus inpatient status across hospitals in actual practice.[1, 12, 13] The ambiguity in the definition of a hospitalized patient's status helped spawn commercial clinical decision tools, such as InterQual (McKesson Corporation, San Francisco, CA) and MCG (formally known as Milliman Care Guidelines; MCG Health, LLC, Seattle, WA), to help define inpatients versus outpatients.[14, 15] However, these guidelines are complex, can be difficult to interpret and apply, and have been criticized for poor predictive value and attempting to replace physician judgment.[16, 17, 18] Furthermore, CMS has never formally endorsed any specific decision tool.
INPATIENT AND OUTPATIENT PAYMENTS AND THE RECOVERY AUDIT CONTRACTOR PROGRAM
In 2000, CMS started using Ambulatory Payment Classifications for hospital services, which made inpatient care more financially favorable for hospitals. In response to concerns that hospitals would be incentivized to overuse inpatient status, CMS made a number of changes to their payment system, including the creation of the Recovery Audit Program in 2003. This program was originally called the Recovery Audit Contractor (RAC) Program and continues to be most commonly referred to as the RAC program. The RAC program, tasked with finding and correcting improper claims to the Medicare program, began as a demonstration required in the Medicare Prescription Drug Improvement and Modernization Act of 2003 (MMA), and subsequently became a nationwide audit program under the Tax Relief and Health Care Act of 2006. Under this program, private contractors review hospital and billing records of Medicare patients and are paid on a contingency fee (8%12.5%) for all underpayments and overpayments that are identified and corrected.[19] Importantly, the RACs are not subject to any financial penalties for cases improperly denied.
RACs initially targeted many overnight inpatient stays for recoupment. These cases were attractive audit targets because the RACs could argue that the inpatient hospital services were delivered in the improper status based solely on the length of stay, without having to consider in their audit the complexity of decision making or medical necessity of the services provided. However, it is worth noting that with improvement in efficiency and advancements in medical technology, hospitals and physicians have been increasingly able to safely evaluate and treat medically complex and severely ill patients quickly, sometimes with just an overnight stay. As perspective, in 1965, the average length of stay for a Medicare patient was 13 days; in 2010, it was 5.4 days, with over one‐third of hospitalizations lasting <3 days.[20]
Concurrent with the increased RAC denials for services provided in an inpatient status, the use of observation services changed significantly from 2007 to 2012. The average length of stay for Medicare patients under outpatient status with observation services exceeded 24 hours in 2007, was 28.2 hours by 2009,[21] and grew to 29 hours by 2012.[22] Between July 2010 and December 2011, at the University of Wisconsin Hospital, 1 in 6 observation stays lasted longer than 48 hours, suggesting that long observation stays were no longer rare and exceptional as stated in CMS' own definition.[23] This same University of Wisconsin study also found that observation services were not well defined, with 1141 distinct diagnosis codes used for these services.[23]
Additionally, a Medicare Payment Advisory Commission (MedPAC; described on their website,
Hospitals have also expressed concern that the RAC contingency fee payment model and a lack of penalty for improper denials promotes overzealous auditing.[24, 25] RAC recoupment has increased from approximately $939 million in 2011, to $2.4 billion in 2012, to $3.8 billion in 2013.[26, 27, 28] Given the money now at stake, it is not surprising that hospitals have become very active in appealing RAC denials. Self‐reported data submitted to the American Hospital Association (AHA) for the months January 2014 to March of 2014 show that hospitals now appeal 50% of RAC denials and win 66% of these appeals.[29] The AHA data also show that 69% of self‐reporting hospitals spent over $10,000 to manage their audit and appeals process over this same 3‐month time period, with 11% spending more than $100,000.
This appeals process is not only costly to hospitals, it is also lengthy. As of January 2014, the average wait time for an appeal hearing with an administrative law judge (level 3 appeal) exceeded 16 months.[30] In fact, the appeals process has become so backlogged that hospitals' rights to assignment of level 3 (administrative law judge) appeals have been temporarily suspended.[30] In August 2014, CMS offered a $0.68 on the dollar partial payment for hospitals willing to settle all eligible outstanding appeals in an attempt to relieve the appeals backlog.[31] In addition, the AHA currently has a suit against the US Department of Health & Human Services over the RAC appeals backlog.[32]
Increased use of outpatient status may be driven by pressures from the RAC program and, potentially, by improvements in the efficiency of care. Because hospitals are paid less for care provided under outpatient status than they are for the identical care provided under inpatient status, hospitals faced both potential financial penalty for improvements in efficiency and the threat of RAC audits.
THE 2‐MIDNIGHT RULE: A FIX?
Given the challenges in defining inpatient versus outpatient hospitalization, the increasing use of outpatient status and the increasing length of stay of outpatient hospitalizations with observation services, in 2013, CMS responded with new policies to define the visit status for hospitalized patients. On August 2, 2013, CMS announced the fiscal year 2014 hospital Inpatient Prospective Payment System final rule (IPPS‐2014) to become effective October 1, 2013. This document was formally issued as part of the Federal Register on August 19, 2013.[33] Central to the CMS IPPS‐2014 was a 2‐midnight benchmark that offered a major change in how physicians were to determine the status (inpatient vs outpatient) of hospitalized patients. With this 2‐midnight benchmark, now informally known as the 2‐midnight rule, CMS finalized its proposal to generally consider patients that are expected by a practitioner (with knowledge of the case and with admitting privileges) to need hospitalization that will span 2 or more midnights as inpatient. The IPPS‐2014 also finalized the converse of this: hospitalizations expected to span <2 midnights are to be regarded as outpatient with 2 exceptions:
- If the hospitalization is associated with a procedure appearing on the previously described Medicare inpatient‐only procedures list, or
- A rare and unusual circumstance in which an inpatient admission would be reasonable regardless of length of stay. Currently, unanticipated mechanical ventilation initiated during the hospitalization visit is the only rare and unusual circumstance that qualifies as such an exception.[7]
CMS' stated goals and expectations for the 2‐midnight benchmark were:
- Reduce the growing number of prolonged hospitalizations (>48 hours) for Medicare beneficiaries under outpatient status.
- Decrease billing disputes between hospitals and Medicare auditors, especially RACs, by establishing more clearly defined, time‐based status criteria.
- Reduce the number of outpatient encounters overall. Because CMS expected the rule to convert a net increase of cases from outpatient to inpatient, resulting in higher payments to hospitals, CMS included a 0.2% payment cut in hospital reimbursement in the IPPS‐2014 as an offset.[33, 34]
Although unrelated to the goals and expectations above, the IPPS‐2014 also included a requirement that:
[T]he order [for inpatient admission] must be furnished by a qualified and licensed practitioner who has admitting privileges at the hospital as permitted by State law, and who is knowledgeable about the patient's hospital course, medical plan of care and current condition.
CMS allowed for an authentication (generally regarded as a cosignature that is timed and dated) of the inpatient admission order by an attending physician with admitting privileges, done prior to discharge, in cases where the inpatient order had been placed by a practitioner (such as a resident, fellow, or physician assistant) without admitting privileges. Attending physician authentication of the inpatient admission order must be done prior to discharge [a]s a condition of payment for hospital inpatient services under Medicare Part A.[35]
From the August 2, 2013 announcement until the effective date of October 1, 2013, hospitals had just 2 months to interpret and comply with the IPPS‐2014, a complex 546‐page document that required hospitals to make extensive changes to admission procedures, workflows, and electronic health records (EHRs). In addition, extensive physician, provider, and administrator education was needed. During these 2 months, hospitals continued to request additional information and clarification from CMS regarding many aspects of the IPPS‐2014, including basic questions that included (1) how to apply the 2‐midnight benchmark to patients who were transferred from 1 hospital to another and (2) when the clock started for hospital services in determining a patient's expected length of hospitalization.
Despite concerns voiced by Congress and medical organizations, the new policy went into effect as scheduled.[36, 37] However, just days prior to October 1, 2013, CMS issued a 3‐month limited suspension of auditing and enforcement of the 2‐midnight rule by the RACs that was subsequently extended by CMS 2 more times, first through March 31, 2014 and then again through September 30, 2014. Other audits to be performed by RACs and all other government audits, including those performed by Medicare Administrative Contractors (MACs) were allowed to continue.[38] In particular, the MACs were instructed to conduct patient status reviews using a probe and educate strategy, which, via educational outreach efforts, would instruct hospitals how to adapt to the new rule. On April 1, 2014, the Protecting Access to Medicare Act of 2014 was signed into law, which, under section 111 of this law, permitted CMS to continue medical review activities under the MAC probe and educate process through March of 2015, and prohibited CMS from allowing RACs to conduct inpatient hospital status reviews on claims with these same dates of admission, October 1, 2013 through March 31, 2015.
The MACs were created by the MMA of 2003, which mandated that the Secretary of Health & Human Services replace Part A Fiscal Intermediaries and Part B carriers with Medicare Administrative Contractors (MACs).[39] As established by CMS, MACs are multi‐state, regional contractors responsible for administering both Medicare Part A and Medicare Part B claims and serve as the primary operational contact between the Medicare Fee‐For‐Service program, and approximately 1.5 million health care providers enrolled in the program.[39]
THE IPPS‐2014 AND CMS' STATED GOALS AND EXPECTATIONS
In the analysis that accompanied the IPPS‐2014, Medicare expected the use of outpatient services to decrease overall, as the new rules would effectively eliminate almost all outpatient hospitalizations >48 hours. Although no official data are yet available from CMS, our early experience under the 2‐midnight rule has suggested that long observation stays have declined in frequency, a favorable outcome of the new policy. However, as designed, the new 2‐midnight IPPS rule most predominately affects 1‐day stays, or more accurately, 1‐midnight stays. This is because many hospitalizations that previously met inpatient criteria (as defined by commercially available products such as MCG or InterQual), but spanned <2 midnights would have been classified as inpatient prior to October 1, 2013. However, since October 1, 2013, these same hospitalizations are now classified as outpatient. An example of such a case is a patient who presents to an emergency department with symptoms of a transient ischemic attack and has a high ABCD (age 60 years, blood pressure 140/90 mm Hg at initial evaluation, clinical features, duration of symptoms, diabetes score).[40] Prior to the 2‐midnight rule, this patient, based on the severity of the signs and symptoms upon presentation, could have been appropriately hospitalized as an inpatient.
Now, under the current IPPS and the ability of many hospitals to efficiently evaluate and treat such patient in <2 midnights, the patient should be categorized as an outpatient, at least initially, despite the severity and high risk of his/her presentation. In fiscal year 2013, The Johns Hopkins Hospital had 1791, 1‐day inpatient stays for Medicare beneficiaries, representing 15.2% of all Medicare admissions. Similarly, in the 12 months just prior to the 2‐midnight rule (October 1, 2012 to September 30, 2013), 10.4% (1280) of all Medicare encounters at the University of Wisconsin were 1‐day inpatient stays under previous criteria. Because of implementation of the 2‐midnight rule in October 2013, Medicare outpatient hospitalization for 1‐day stays at The Johns Hopkins Hospital increased by 49%, from an average of 117 patients/month to 174 patients/month. Nationally, it is possible that a reduction in long observation stays could be offset by an increase in 1‐day‐stay outpatient hospitalization encounters.
A second key expectation and goal of IPPS‐2014 was, by shifting to a more concrete, time‐based definition of inpatient, to decrease the disagreement between hospitals and auditors regarding patient status (inpatient vs outpatient). As noted earlier, many disputes with auditors for hospitalizations prior to October 2013 did not involve the need or type of hospital services provided, but rather the status under which the care was provided. However, the new time‐based criterion hinges not on actual length of hospitalization, but the expected length of hospitalization as determined by a practitioner with admitting privileges and knowledge of the patient. Accurately and consistently predicting the length of hospitalization has proven to be challenging, even for the most experienced practitioners. Since October 2013, for patients hospitalized at The Johns Hopkins Hospital through its emergency department, the admitting physicians' expectation of whether a patient would require 1 versus 2 or more midnights of necessary hospitalization was correct only half of the time. Given past experience, the RACs may challenge the medical judgment that lead practitioners to expect a hospitalization of 2 or more midnights without having to challenge whether the care provided was medically necessary.
Further, the IPPS‐2014 has not been accompanied by any significant changes to the payment scheme for auditors. RACs continue to be paid a percentage of any monies they determine to have been improperly paid by CMS, but with no penalty for cases that are overturned on appeal. Historically, the vast majority of RAC recovery fees have been due to determination of overpayments by CMS.[41, 42] Despite the 2‐midnight rule, RACs will continue to have a financial incentive to allege overpayment. In the initial probe and educate audits by MACs under the new 2014‐IPPS, despite inpatient admission orders being authenticated and certified by an attending physician, claims are being denied because the documentation does not support an expectation for a 2‐midnight hospitalization. Namely, auditors are continuing to challenge not the medical necessity of the services that hospitals provide, but rather the status in which those services were provided. Thus far, the IPPS‐2014 does not appear to fully remedy the auditing conflict that existed prior to October 2013.
As noted above, the IPPS‐2014 also requires, as of October 1, 2013, as a condition of payment for hospital services under Part A, that the inpatient admission order must be either entered by a practitioner with admitting privileges or authenticated prior to discharge by an attending physician involved in the care of the patient in cases in which the inpatient admission order was entered by a practitioner without admitting privileges (eg, resident, physician assistant, or fellow).[43] The requirement of an attending physician's cosignature has involved major changes to physician workflow and the electronic heath record (EHR) framework at The Johns Hopkins and the University of Wisconsin Hospitals, and does not keep up with modern healthcare systems in which patients are admitted 24 hours a day by a variety of providers (eg, residents, nurse practitioners) who otherwise may write stand‐alone orders. These changes have proven to be time‐consuming, costly, and have not, to our knowledge, improved patient care or utilization of resources.
The new visit status rules have also led to confusion among clinicians. A recent large survey of hospitalists conducted by the Society of Hospital Medicine demonstrated that more than half of respondents disagreed that the 2‐midnight rule improved hospitalist workflow compared to prior observation policy.[44] In addition, only 40% of hospitalists reported confidence in how to apply the rule.[44] Thus, the intent to clarify visit status policy with the IPPS‐2014 has not translated to clear and useful rules for frontline clinicians.
FUTURE DIRECTIONS
After over a year under the 2‐midnight rule, although long observation stays may be reduced, it seems unlikely these new regulations will achieve 2 of CMS' stated goals: (1) decreasing the use of outpatient status for hospitalizations and (2) resolving status disputes between auditors and hospitals. In addition, attempts at compliance with the new rules and regulations have diverted large amounts of physician time and hospital resources away from patient care. There is a clear need to reform both the hospitalization status policy and the RAC programs that enforce these rules.
One path Congress and CMS could consider is to reform the current Medicare reimbursement paradigm for hospital services to eliminate the need to distinguish inpatient from outpatient status. For example, H.R. 1179Improving Access to Medicare Coverage Act of 2013,[45] of the 113th Congress, if reintroduced, would decouple the link between the qualification for skilled nursing facility benefits from visit status by allowing time spent hospitalized as an outpatient to count toward the 3‐day benchmark. The overarching goals of any visit status policy reform should be to: (1) simplify or eliminate the 2‐track status process for hospitalized patients, (2) stop or minimize the threat of audits based on status, and (3) maintain budget neutrality. Two additional options for consideration would be to: (1) create a low‐acuity modifier for use with patients anticipated to have short stays and low resource use and (2) preselect specific Diagnosis Related Groups based on historical data and create designations for those diagnoses of lesser intensity. Accountable care organizations contracts, a new model for healthcare payment, could potentially be structured to eliminate or simplify payment based on visit status for hospitalized patients. With bundled payments on the horizon and the possible phase‐out of fee‐for‐service reimbursement, the issue may become less paramount in the coming years. No solution will be perfect and must balance costs, ease of administration, and beneficiary protection.
There are reasons to be optimistic that change may soon be realized. CMS is currently considering significant hospitalization status policy reform. In the proposed IPPS‐2015, CMS asked for input on payment for short‐stay hospitalizations and, in the final IPPS‐2015 released August 4, 2014, CMS indicated its willingness to continue to work with stakeholders in revising these policies.[46] Additionally, CMS has responded to hospitals on 3 separate occasions by delaying RAC audits pertaining to the 2‐midnight rule. Further, the current MAC probe and educate audits focus on education with respect to 2‐midnight rule implementation rather than threatening hospitals with major financial penalties.[47] Congress has also been responsive in this area. In addition to the 3 delays announced by CMS, Congress passed legislation that mandated an additional delay to RAC audits that pertain to the 2‐midnight rule. Moreover, the Subcommittee on Health of the House Ways and Means Committee held hearings that included the 2‐midnight rule and RAC reform in May 2014, and the Senate Special Committee on Aging held hearings on the impact of visit status on Medicare beneficiaries in July 2014.[48, 49] Additionally, the House Ways and Means Health Subcommittee recently issued a draft bill to address Medicare hospital issues.[50] The OIG has also been responsive to hospital concerns regarding the current RAC program with a recent report recommending that CMS develop additional performance evaluation metrics to improve RAC performance and ensure that RACs are evaluated on all contract requirements.[51] Additionally, MedPAC has been considering several short‐stay payment reform options, modifying the need for a 3‐day inpatient hospitalization to qualify for postdischarge skilled nursing facility benefits and adjusting RAC contingency fees based on overturn rates.[52, 53] These actions by CMS, Congress, and the OIG, as well as the options under consideration by MedPAC, demonstrate a degree of regulatory and legislative responsiveness to hospital and provider concerns in the area of visit status determination.
The Medicare program is vital to tens of millions of disabled and elderly Americans. Fraud and abuse of the Medicare program should not be tolerated. Yet, the current system of assigning, monitoring, and auditing outpatient versus inpatient hospital care is in need of reform. It will be up to CMS and Congress to continue to work with hospitals and physicians to find an improved way to appropriately and fairly compensate hospitals for hospital services in a way that that does not depend on a poorly defined and contentious status of a patient. Such reform must include the RAC program. It is our hope that both CMS and Congress will prioritize status determination and payment reform so that Medicare beneficiaries, physicians, and hospitals all have a sustainable, fair, and transparent process.
- Testimony of Jodi D Nudelman, Regional Inspector General for the Office of Evaluation and Inspections, Office of the Inspector General, US Department of Health and Human Services, Hearing: Current Hospital Issues in the Medicare Program, House Committee on Ways and Means, Subcommittee on Health, May 20, 2014. Available at: https://oig.hhs.gov/newsroom/testimony‐and‐speeches/index.asp. Accessed November 24, 2014.
- Centers for Medicare 173:1999–2000.
- US Department of Health 49:893–909.
- US Department of Health 28:95–111.
- http://www.modernhealthcare.com/article/20121117/MAGAZINE/311179951. Published November 17, 2012. Accessed November 9, 2014. . The price of admission: increasing use of decision‐support technology draws criticism for changing roles in hospital‐admissions process. Modern Healthcare website. Available at:
- The accuracy of interqual criteria in determining the need for observation versus hospitalization in emergency department patients with chronic heart failure. Crit Pathw Cardiol. 2013;12:192–196. , , , et al.
- US Department of Health 31:1251–1259.
- MedPAC March 2104 Report to the Congress, Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed on December 22, 2014.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173:1991–1998. , , , et al,
- The recovery audit contractor program and observation status for hospitalized Medicare beneficiaries. JAMA Internal Medicine blog. Available at: http://internalmedicineblog.jamainternalmed.com/2014/02/04/the‐recovery‐audit‐contractor‐program‐and‐observation‐status‐for‐hospitalized‐medicare‐beneficiaries. Published February 4, 2014. Accessed June 15, 2014. .
- Broken RAC system continues to hurt patients, providers. The Hospital Leader blog. Available at: http://blogs.hospitalmedicine.org/Blog/broken‐rac‐system‐continues‐to‐hurt‐patients‐providers. Published April 22, 2014. Accessed June 15, 2014. .
- US Department of Health 78(160). Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013‐18956.pdf. Accessed August 4, 2014.
- US Department of Health use of observation and inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. Available at: http://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed June 15, 2014.
- US Department of Health
Status determinations (outpatient versus inpatient) for hospitalized patients have become a routine part of patient care in the United States. Under the guidance provided by the Medicare Benefits Policy Manual, hospitalized Medicare beneficiaries are assigned 1 of these 2 statuses. The status assignment does not affect the care a patient can receive, but rather how the hospital services provided are billed to Medicare. Hospital services provided under inpatient status are billed under Medicare Part A. Hospital services provided under outpatient status, which includes all patients receiving observation services (commonly referred to as under observation), are billed under Medicare Part B. Whether hospital services are billed under Part A or Part B is important to hospitals and Medicare beneficiaries, as both the hospital reimbursement and beneficiary liability can vary greatly depending on whether services are billed under Part A versus Part B. Hospitals are generally reimbursed at a higher rate for services provided as an inpatient (Part A). The Office of the Inspector General (OIG) recently found that Medicare paid nearly three times more for a short inpatient stay than an [outpatient] stay for the same condition.[1] Medicare beneficiary liability also varies based on status. First, beneficiaries hospitalized as inpatients are subject to a deductible under Part A ($1,216 in 2014) for hospital services associated with that hospitalization and any future inpatient hospitalization beyond 60 days of discharge.[2] Beneficiaries hospitalized as outpatients are subject to the Medicare Part B deductible ($147 in 2014), and then a 20% copay on each individual outpatient hospital service, with no cumulative limit.[2, 3] In addition, hospital pharmacy charges for Medicare beneficiaries hospitalized as inpatients are covered under Medicare A. However, for Medicare patients hospitalized as outpatients, many medications are not covered by Medicare Part B benefits. Finally, time spent hospitalized as an outpatient does not count toward the Medicare 3‐day medically necessary inpatient stay requirement to qualify for the skilled nursing facility care benefit following discharge.
HISTORY AND INTENT OF INPATIENT AND OUTPATIENT STATUS DETERMINATIONS
Prior to October 1, 2013, the Centers for Medicare & Medicaid Services (CMS) stated that physician judgment and an expectation of at least an overnight hospitalization should determine inpatient status of hospitalized Medicare beneficiaries. Guidance as to when inpatient services were covered was found in the Medicare Benefits Policy Manual (MBPM)[4]:
An inpatient is a person who has been admitted to a hospital for bed occupancy for purposes of receiving inpatient hospital services. Generally, a patient is considered an inpatient if formally admitted as inpatient with the expectation that he or she will remain at least overnight and occupy a bed even though it later develops that the patient can be discharged or transferred to another hospital and not actually use a hospital bed overnight. The physician or other practitioner responsible for a patient's care at the hospital is also responsible for deciding whether the patient should be admitted as an inpatient. Physicians should use a 24‐hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis. However, the decision to admit a patient is a complex medical judgment that can be made only after the physician has considered a number of factors, including the patient's medical history and current medical needs, the types of facilities available to inpatients and to outpatients, the hospital's by‐laws and admissions policies, and the relative appropriateness of treatment in each setting.
For a subset of patients who are hospitalized under outpatient status, billing for observation services is allowed. CMS defines observation as a well defined set of services, that should last less than 24 hours and in only rare and exceptional casesspan more than 48 hours.[5] Many providers recognize the utility of a few additional hours of hospital care and/or testing in a hospital setting to determine whether a patient can go home or needs additional evaluation, monitoring, and/or treatment that can only be provided in a hospital, consistent with the CMS definition of observation.[6] It is important to note that although observation and outpatient are frequently used interchangeably, only outpatient is technically a CMS status. Patients in observation or under observation are, in fact, a subset of patients who are hospitalized under an outpatient status.
Outpatient status may also be appropriate for patients who require hospitalization for routine and expected overnight monitoring following a procedure. These patients are often not eligible for billing of observation services or as an inpatient because alternative methods of billing for the recovery time following the procedure exist. When determining the appropriate status of a Medicare beneficiary for a hospitalization following a procedure, physicians need to be aware of whether a specific procedure appears on the Medicare inpatient‐only procedures list.[7] Per CMS, procedures designated as inpatient only are reimbursed only when the patient is admitted as an inpatient at the time the procedure is performed.[8] Conversely, outpatient status for an overnight hospitalization associated with a procedure not on the inpatient‐only list is generally appropriate. Therefore, patients hospitalized for a procedure that appears on this list should always be hospitalized under inpatient status, regardless of the amount of time that the patient is expected to be hospitalized following the procedure, including those cases for which the hospitalization is expected to be only overnight.[7, 8] Only a limited number of Current Procedural Technology (CPT) codes, mostly surgical, automatically qualify for inpatient status and do not have outpatient prospective payment system eligibility. Although most procedures on the inpatient‐only list are associated with a hospitalization that commonly span at least 2 midnights, such as coronary artery bypass grafting, some potentially overnight stay cases, such as cholecystectomy (CPT 47600) appear on the 2014 inpatient‐only list.[9]
As noted above, prior to October 1, 2013, the Medicare definitions governing outpatient versus inpatient status included a 24‐hour benchmark. However, the MBPM also notes that: Admissions of particular patients are not covered or non‐covered solely on the basis of the length of time the patient actually spends in the hospital.[10]
In practice, status determination was ultimately dependent on physician or other practitioner's complex medical judgment as specified by CMS. To validate this judgment, CMS recommended that reviewers use a screening tool as part of their medical review. This screening tool could include practice guidelines that are well accepted by the medical community but did not require or identify a specific criteria set.[11] Not surprisingly, there was and continues to be great variability in the application of outpatient versus inpatient status across hospitals in actual practice.[1, 12, 13] The ambiguity in the definition of a hospitalized patient's status helped spawn commercial clinical decision tools, such as InterQual (McKesson Corporation, San Francisco, CA) and MCG (formally known as Milliman Care Guidelines; MCG Health, LLC, Seattle, WA), to help define inpatients versus outpatients.[14, 15] However, these guidelines are complex, can be difficult to interpret and apply, and have been criticized for poor predictive value and attempting to replace physician judgment.[16, 17, 18] Furthermore, CMS has never formally endorsed any specific decision tool.
INPATIENT AND OUTPATIENT PAYMENTS AND THE RECOVERY AUDIT CONTRACTOR PROGRAM
In 2000, CMS started using Ambulatory Payment Classifications for hospital services, which made inpatient care more financially favorable for hospitals. In response to concerns that hospitals would be incentivized to overuse inpatient status, CMS made a number of changes to their payment system, including the creation of the Recovery Audit Program in 2003. This program was originally called the Recovery Audit Contractor (RAC) Program and continues to be most commonly referred to as the RAC program. The RAC program, tasked with finding and correcting improper claims to the Medicare program, began as a demonstration required in the Medicare Prescription Drug Improvement and Modernization Act of 2003 (MMA), and subsequently became a nationwide audit program under the Tax Relief and Health Care Act of 2006. Under this program, private contractors review hospital and billing records of Medicare patients and are paid on a contingency fee (8%12.5%) for all underpayments and overpayments that are identified and corrected.[19] Importantly, the RACs are not subject to any financial penalties for cases improperly denied.
RACs initially targeted many overnight inpatient stays for recoupment. These cases were attractive audit targets because the RACs could argue that the inpatient hospital services were delivered in the improper status based solely on the length of stay, without having to consider in their audit the complexity of decision making or medical necessity of the services provided. However, it is worth noting that with improvement in efficiency and advancements in medical technology, hospitals and physicians have been increasingly able to safely evaluate and treat medically complex and severely ill patients quickly, sometimes with just an overnight stay. As perspective, in 1965, the average length of stay for a Medicare patient was 13 days; in 2010, it was 5.4 days, with over one‐third of hospitalizations lasting <3 days.[20]
Concurrent with the increased RAC denials for services provided in an inpatient status, the use of observation services changed significantly from 2007 to 2012. The average length of stay for Medicare patients under outpatient status with observation services exceeded 24 hours in 2007, was 28.2 hours by 2009,[21] and grew to 29 hours by 2012.[22] Between July 2010 and December 2011, at the University of Wisconsin Hospital, 1 in 6 observation stays lasted longer than 48 hours, suggesting that long observation stays were no longer rare and exceptional as stated in CMS' own definition.[23] This same University of Wisconsin study also found that observation services were not well defined, with 1141 distinct diagnosis codes used for these services.[23]
Additionally, a Medicare Payment Advisory Commission (MedPAC; described on their website,
Hospitals have also expressed concern that the RAC contingency fee payment model and a lack of penalty for improper denials promotes overzealous auditing.[24, 25] RAC recoupment has increased from approximately $939 million in 2011, to $2.4 billion in 2012, to $3.8 billion in 2013.[26, 27, 28] Given the money now at stake, it is not surprising that hospitals have become very active in appealing RAC denials. Self‐reported data submitted to the American Hospital Association (AHA) for the months January 2014 to March of 2014 show that hospitals now appeal 50% of RAC denials and win 66% of these appeals.[29] The AHA data also show that 69% of self‐reporting hospitals spent over $10,000 to manage their audit and appeals process over this same 3‐month time period, with 11% spending more than $100,000.
This appeals process is not only costly to hospitals, it is also lengthy. As of January 2014, the average wait time for an appeal hearing with an administrative law judge (level 3 appeal) exceeded 16 months.[30] In fact, the appeals process has become so backlogged that hospitals' rights to assignment of level 3 (administrative law judge) appeals have been temporarily suspended.[30] In August 2014, CMS offered a $0.68 on the dollar partial payment for hospitals willing to settle all eligible outstanding appeals in an attempt to relieve the appeals backlog.[31] In addition, the AHA currently has a suit against the US Department of Health & Human Services over the RAC appeals backlog.[32]
Increased use of outpatient status may be driven by pressures from the RAC program and, potentially, by improvements in the efficiency of care. Because hospitals are paid less for care provided under outpatient status than they are for the identical care provided under inpatient status, hospitals faced both potential financial penalty for improvements in efficiency and the threat of RAC audits.
THE 2‐MIDNIGHT RULE: A FIX?
Given the challenges in defining inpatient versus outpatient hospitalization, the increasing use of outpatient status and the increasing length of stay of outpatient hospitalizations with observation services, in 2013, CMS responded with new policies to define the visit status for hospitalized patients. On August 2, 2013, CMS announced the fiscal year 2014 hospital Inpatient Prospective Payment System final rule (IPPS‐2014) to become effective October 1, 2013. This document was formally issued as part of the Federal Register on August 19, 2013.[33] Central to the CMS IPPS‐2014 was a 2‐midnight benchmark that offered a major change in how physicians were to determine the status (inpatient vs outpatient) of hospitalized patients. With this 2‐midnight benchmark, now informally known as the 2‐midnight rule, CMS finalized its proposal to generally consider patients that are expected by a practitioner (with knowledge of the case and with admitting privileges) to need hospitalization that will span 2 or more midnights as inpatient. The IPPS‐2014 also finalized the converse of this: hospitalizations expected to span <2 midnights are to be regarded as outpatient with 2 exceptions:
- If the hospitalization is associated with a procedure appearing on the previously described Medicare inpatient‐only procedures list, or
- A rare and unusual circumstance in which an inpatient admission would be reasonable regardless of length of stay. Currently, unanticipated mechanical ventilation initiated during the hospitalization visit is the only rare and unusual circumstance that qualifies as such an exception.[7]
CMS' stated goals and expectations for the 2‐midnight benchmark were:
- Reduce the growing number of prolonged hospitalizations (>48 hours) for Medicare beneficiaries under outpatient status.
- Decrease billing disputes between hospitals and Medicare auditors, especially RACs, by establishing more clearly defined, time‐based status criteria.
- Reduce the number of outpatient encounters overall. Because CMS expected the rule to convert a net increase of cases from outpatient to inpatient, resulting in higher payments to hospitals, CMS included a 0.2% payment cut in hospital reimbursement in the IPPS‐2014 as an offset.[33, 34]
Although unrelated to the goals and expectations above, the IPPS‐2014 also included a requirement that:
[T]he order [for inpatient admission] must be furnished by a qualified and licensed practitioner who has admitting privileges at the hospital as permitted by State law, and who is knowledgeable about the patient's hospital course, medical plan of care and current condition.
CMS allowed for an authentication (generally regarded as a cosignature that is timed and dated) of the inpatient admission order by an attending physician with admitting privileges, done prior to discharge, in cases where the inpatient order had been placed by a practitioner (such as a resident, fellow, or physician assistant) without admitting privileges. Attending physician authentication of the inpatient admission order must be done prior to discharge [a]s a condition of payment for hospital inpatient services under Medicare Part A.[35]
From the August 2, 2013 announcement until the effective date of October 1, 2013, hospitals had just 2 months to interpret and comply with the IPPS‐2014, a complex 546‐page document that required hospitals to make extensive changes to admission procedures, workflows, and electronic health records (EHRs). In addition, extensive physician, provider, and administrator education was needed. During these 2 months, hospitals continued to request additional information and clarification from CMS regarding many aspects of the IPPS‐2014, including basic questions that included (1) how to apply the 2‐midnight benchmark to patients who were transferred from 1 hospital to another and (2) when the clock started for hospital services in determining a patient's expected length of hospitalization.
Despite concerns voiced by Congress and medical organizations, the new policy went into effect as scheduled.[36, 37] However, just days prior to October 1, 2013, CMS issued a 3‐month limited suspension of auditing and enforcement of the 2‐midnight rule by the RACs that was subsequently extended by CMS 2 more times, first through March 31, 2014 and then again through September 30, 2014. Other audits to be performed by RACs and all other government audits, including those performed by Medicare Administrative Contractors (MACs) were allowed to continue.[38] In particular, the MACs were instructed to conduct patient status reviews using a probe and educate strategy, which, via educational outreach efforts, would instruct hospitals how to adapt to the new rule. On April 1, 2014, the Protecting Access to Medicare Act of 2014 was signed into law, which, under section 111 of this law, permitted CMS to continue medical review activities under the MAC probe and educate process through March of 2015, and prohibited CMS from allowing RACs to conduct inpatient hospital status reviews on claims with these same dates of admission, October 1, 2013 through March 31, 2015.
The MACs were created by the MMA of 2003, which mandated that the Secretary of Health & Human Services replace Part A Fiscal Intermediaries and Part B carriers with Medicare Administrative Contractors (MACs).[39] As established by CMS, MACs are multi‐state, regional contractors responsible for administering both Medicare Part A and Medicare Part B claims and serve as the primary operational contact between the Medicare Fee‐For‐Service program, and approximately 1.5 million health care providers enrolled in the program.[39]
THE IPPS‐2014 AND CMS' STATED GOALS AND EXPECTATIONS
In the analysis that accompanied the IPPS‐2014, Medicare expected the use of outpatient services to decrease overall, as the new rules would effectively eliminate almost all outpatient hospitalizations >48 hours. Although no official data are yet available from CMS, our early experience under the 2‐midnight rule has suggested that long observation stays have declined in frequency, a favorable outcome of the new policy. However, as designed, the new 2‐midnight IPPS rule most predominately affects 1‐day stays, or more accurately, 1‐midnight stays. This is because many hospitalizations that previously met inpatient criteria (as defined by commercially available products such as MCG or InterQual), but spanned <2 midnights would have been classified as inpatient prior to October 1, 2013. However, since October 1, 2013, these same hospitalizations are now classified as outpatient. An example of such a case is a patient who presents to an emergency department with symptoms of a transient ischemic attack and has a high ABCD (age 60 years, blood pressure 140/90 mm Hg at initial evaluation, clinical features, duration of symptoms, diabetes score).[40] Prior to the 2‐midnight rule, this patient, based on the severity of the signs and symptoms upon presentation, could have been appropriately hospitalized as an inpatient.
Now, under the current IPPS and the ability of many hospitals to efficiently evaluate and treat such patient in <2 midnights, the patient should be categorized as an outpatient, at least initially, despite the severity and high risk of his/her presentation. In fiscal year 2013, The Johns Hopkins Hospital had 1791, 1‐day inpatient stays for Medicare beneficiaries, representing 15.2% of all Medicare admissions. Similarly, in the 12 months just prior to the 2‐midnight rule (October 1, 2012 to September 30, 2013), 10.4% (1280) of all Medicare encounters at the University of Wisconsin were 1‐day inpatient stays under previous criteria. Because of implementation of the 2‐midnight rule in October 2013, Medicare outpatient hospitalization for 1‐day stays at The Johns Hopkins Hospital increased by 49%, from an average of 117 patients/month to 174 patients/month. Nationally, it is possible that a reduction in long observation stays could be offset by an increase in 1‐day‐stay outpatient hospitalization encounters.
A second key expectation and goal of IPPS‐2014 was, by shifting to a more concrete, time‐based definition of inpatient, to decrease the disagreement between hospitals and auditors regarding patient status (inpatient vs outpatient). As noted earlier, many disputes with auditors for hospitalizations prior to October 2013 did not involve the need or type of hospital services provided, but rather the status under which the care was provided. However, the new time‐based criterion hinges not on actual length of hospitalization, but the expected length of hospitalization as determined by a practitioner with admitting privileges and knowledge of the patient. Accurately and consistently predicting the length of hospitalization has proven to be challenging, even for the most experienced practitioners. Since October 2013, for patients hospitalized at The Johns Hopkins Hospital through its emergency department, the admitting physicians' expectation of whether a patient would require 1 versus 2 or more midnights of necessary hospitalization was correct only half of the time. Given past experience, the RACs may challenge the medical judgment that lead practitioners to expect a hospitalization of 2 or more midnights without having to challenge whether the care provided was medically necessary.
Further, the IPPS‐2014 has not been accompanied by any significant changes to the payment scheme for auditors. RACs continue to be paid a percentage of any monies they determine to have been improperly paid by CMS, but with no penalty for cases that are overturned on appeal. Historically, the vast majority of RAC recovery fees have been due to determination of overpayments by CMS.[41, 42] Despite the 2‐midnight rule, RACs will continue to have a financial incentive to allege overpayment. In the initial probe and educate audits by MACs under the new 2014‐IPPS, despite inpatient admission orders being authenticated and certified by an attending physician, claims are being denied because the documentation does not support an expectation for a 2‐midnight hospitalization. Namely, auditors are continuing to challenge not the medical necessity of the services that hospitals provide, but rather the status in which those services were provided. Thus far, the IPPS‐2014 does not appear to fully remedy the auditing conflict that existed prior to October 2013.
As noted above, the IPPS‐2014 also requires, as of October 1, 2013, as a condition of payment for hospital services under Part A, that the inpatient admission order must be either entered by a practitioner with admitting privileges or authenticated prior to discharge by an attending physician involved in the care of the patient in cases in which the inpatient admission order was entered by a practitioner without admitting privileges (eg, resident, physician assistant, or fellow).[43] The requirement of an attending physician's cosignature has involved major changes to physician workflow and the electronic heath record (EHR) framework at The Johns Hopkins and the University of Wisconsin Hospitals, and does not keep up with modern healthcare systems in which patients are admitted 24 hours a day by a variety of providers (eg, residents, nurse practitioners) who otherwise may write stand‐alone orders. These changes have proven to be time‐consuming, costly, and have not, to our knowledge, improved patient care or utilization of resources.
The new visit status rules have also led to confusion among clinicians. A recent large survey of hospitalists conducted by the Society of Hospital Medicine demonstrated that more than half of respondents disagreed that the 2‐midnight rule improved hospitalist workflow compared to prior observation policy.[44] In addition, only 40% of hospitalists reported confidence in how to apply the rule.[44] Thus, the intent to clarify visit status policy with the IPPS‐2014 has not translated to clear and useful rules for frontline clinicians.
FUTURE DIRECTIONS
After over a year under the 2‐midnight rule, although long observation stays may be reduced, it seems unlikely these new regulations will achieve 2 of CMS' stated goals: (1) decreasing the use of outpatient status for hospitalizations and (2) resolving status disputes between auditors and hospitals. In addition, attempts at compliance with the new rules and regulations have diverted large amounts of physician time and hospital resources away from patient care. There is a clear need to reform both the hospitalization status policy and the RAC programs that enforce these rules.
One path Congress and CMS could consider is to reform the current Medicare reimbursement paradigm for hospital services to eliminate the need to distinguish inpatient from outpatient status. For example, H.R. 1179Improving Access to Medicare Coverage Act of 2013,[45] of the 113th Congress, if reintroduced, would decouple the link between the qualification for skilled nursing facility benefits from visit status by allowing time spent hospitalized as an outpatient to count toward the 3‐day benchmark. The overarching goals of any visit status policy reform should be to: (1) simplify or eliminate the 2‐track status process for hospitalized patients, (2) stop or minimize the threat of audits based on status, and (3) maintain budget neutrality. Two additional options for consideration would be to: (1) create a low‐acuity modifier for use with patients anticipated to have short stays and low resource use and (2) preselect specific Diagnosis Related Groups based on historical data and create designations for those diagnoses of lesser intensity. Accountable care organizations contracts, a new model for healthcare payment, could potentially be structured to eliminate or simplify payment based on visit status for hospitalized patients. With bundled payments on the horizon and the possible phase‐out of fee‐for‐service reimbursement, the issue may become less paramount in the coming years. No solution will be perfect and must balance costs, ease of administration, and beneficiary protection.
There are reasons to be optimistic that change may soon be realized. CMS is currently considering significant hospitalization status policy reform. In the proposed IPPS‐2015, CMS asked for input on payment for short‐stay hospitalizations and, in the final IPPS‐2015 released August 4, 2014, CMS indicated its willingness to continue to work with stakeholders in revising these policies.[46] Additionally, CMS has responded to hospitals on 3 separate occasions by delaying RAC audits pertaining to the 2‐midnight rule. Further, the current MAC probe and educate audits focus on education with respect to 2‐midnight rule implementation rather than threatening hospitals with major financial penalties.[47] Congress has also been responsive in this area. In addition to the 3 delays announced by CMS, Congress passed legislation that mandated an additional delay to RAC audits that pertain to the 2‐midnight rule. Moreover, the Subcommittee on Health of the House Ways and Means Committee held hearings that included the 2‐midnight rule and RAC reform in May 2014, and the Senate Special Committee on Aging held hearings on the impact of visit status on Medicare beneficiaries in July 2014.[48, 49] Additionally, the House Ways and Means Health Subcommittee recently issued a draft bill to address Medicare hospital issues.[50] The OIG has also been responsive to hospital concerns regarding the current RAC program with a recent report recommending that CMS develop additional performance evaluation metrics to improve RAC performance and ensure that RACs are evaluated on all contract requirements.[51] Additionally, MedPAC has been considering several short‐stay payment reform options, modifying the need for a 3‐day inpatient hospitalization to qualify for postdischarge skilled nursing facility benefits and adjusting RAC contingency fees based on overturn rates.[52, 53] These actions by CMS, Congress, and the OIG, as well as the options under consideration by MedPAC, demonstrate a degree of regulatory and legislative responsiveness to hospital and provider concerns in the area of visit status determination.
The Medicare program is vital to tens of millions of disabled and elderly Americans. Fraud and abuse of the Medicare program should not be tolerated. Yet, the current system of assigning, monitoring, and auditing outpatient versus inpatient hospital care is in need of reform. It will be up to CMS and Congress to continue to work with hospitals and physicians to find an improved way to appropriately and fairly compensate hospitals for hospital services in a way that that does not depend on a poorly defined and contentious status of a patient. Such reform must include the RAC program. It is our hope that both CMS and Congress will prioritize status determination and payment reform so that Medicare beneficiaries, physicians, and hospitals all have a sustainable, fair, and transparent process.
Status determinations (outpatient versus inpatient) for hospitalized patients have become a routine part of patient care in the United States. Under the guidance provided by the Medicare Benefits Policy Manual, hospitalized Medicare beneficiaries are assigned 1 of these 2 statuses. The status assignment does not affect the care a patient can receive, but rather how the hospital services provided are billed to Medicare. Hospital services provided under inpatient status are billed under Medicare Part A. Hospital services provided under outpatient status, which includes all patients receiving observation services (commonly referred to as under observation), are billed under Medicare Part B. Whether hospital services are billed under Part A or Part B is important to hospitals and Medicare beneficiaries, as both the hospital reimbursement and beneficiary liability can vary greatly depending on whether services are billed under Part A versus Part B. Hospitals are generally reimbursed at a higher rate for services provided as an inpatient (Part A). The Office of the Inspector General (OIG) recently found that Medicare paid nearly three times more for a short inpatient stay than an [outpatient] stay for the same condition.[1] Medicare beneficiary liability also varies based on status. First, beneficiaries hospitalized as inpatients are subject to a deductible under Part A ($1,216 in 2014) for hospital services associated with that hospitalization and any future inpatient hospitalization beyond 60 days of discharge.[2] Beneficiaries hospitalized as outpatients are subject to the Medicare Part B deductible ($147 in 2014), and then a 20% copay on each individual outpatient hospital service, with no cumulative limit.[2, 3] In addition, hospital pharmacy charges for Medicare beneficiaries hospitalized as inpatients are covered under Medicare A. However, for Medicare patients hospitalized as outpatients, many medications are not covered by Medicare Part B benefits. Finally, time spent hospitalized as an outpatient does not count toward the Medicare 3‐day medically necessary inpatient stay requirement to qualify for the skilled nursing facility care benefit following discharge.
HISTORY AND INTENT OF INPATIENT AND OUTPATIENT STATUS DETERMINATIONS
Prior to October 1, 2013, the Centers for Medicare & Medicaid Services (CMS) stated that physician judgment and an expectation of at least an overnight hospitalization should determine inpatient status of hospitalized Medicare beneficiaries. Guidance as to when inpatient services were covered was found in the Medicare Benefits Policy Manual (MBPM)[4]:
An inpatient is a person who has been admitted to a hospital for bed occupancy for purposes of receiving inpatient hospital services. Generally, a patient is considered an inpatient if formally admitted as inpatient with the expectation that he or she will remain at least overnight and occupy a bed even though it later develops that the patient can be discharged or transferred to another hospital and not actually use a hospital bed overnight. The physician or other practitioner responsible for a patient's care at the hospital is also responsible for deciding whether the patient should be admitted as an inpatient. Physicians should use a 24‐hour period as a benchmark, i.e., they should order admission for patients who are expected to need hospital care for 24 hours or more, and treat other patients on an outpatient basis. However, the decision to admit a patient is a complex medical judgment that can be made only after the physician has considered a number of factors, including the patient's medical history and current medical needs, the types of facilities available to inpatients and to outpatients, the hospital's by‐laws and admissions policies, and the relative appropriateness of treatment in each setting.
For a subset of patients who are hospitalized under outpatient status, billing for observation services is allowed. CMS defines observation as a well defined set of services, that should last less than 24 hours and in only rare and exceptional casesspan more than 48 hours.[5] Many providers recognize the utility of a few additional hours of hospital care and/or testing in a hospital setting to determine whether a patient can go home or needs additional evaluation, monitoring, and/or treatment that can only be provided in a hospital, consistent with the CMS definition of observation.[6] It is important to note that although observation and outpatient are frequently used interchangeably, only outpatient is technically a CMS status. Patients in observation or under observation are, in fact, a subset of patients who are hospitalized under an outpatient status.
Outpatient status may also be appropriate for patients who require hospitalization for routine and expected overnight monitoring following a procedure. These patients are often not eligible for billing of observation services or as an inpatient because alternative methods of billing for the recovery time following the procedure exist. When determining the appropriate status of a Medicare beneficiary for a hospitalization following a procedure, physicians need to be aware of whether a specific procedure appears on the Medicare inpatient‐only procedures list.[7] Per CMS, procedures designated as inpatient only are reimbursed only when the patient is admitted as an inpatient at the time the procedure is performed.[8] Conversely, outpatient status for an overnight hospitalization associated with a procedure not on the inpatient‐only list is generally appropriate. Therefore, patients hospitalized for a procedure that appears on this list should always be hospitalized under inpatient status, regardless of the amount of time that the patient is expected to be hospitalized following the procedure, including those cases for which the hospitalization is expected to be only overnight.[7, 8] Only a limited number of Current Procedural Technology (CPT) codes, mostly surgical, automatically qualify for inpatient status and do not have outpatient prospective payment system eligibility. Although most procedures on the inpatient‐only list are associated with a hospitalization that commonly span at least 2 midnights, such as coronary artery bypass grafting, some potentially overnight stay cases, such as cholecystectomy (CPT 47600) appear on the 2014 inpatient‐only list.[9]
As noted above, prior to October 1, 2013, the Medicare definitions governing outpatient versus inpatient status included a 24‐hour benchmark. However, the MBPM also notes that: Admissions of particular patients are not covered or non‐covered solely on the basis of the length of time the patient actually spends in the hospital.[10]
In practice, status determination was ultimately dependent on physician or other practitioner's complex medical judgment as specified by CMS. To validate this judgment, CMS recommended that reviewers use a screening tool as part of their medical review. This screening tool could include practice guidelines that are well accepted by the medical community but did not require or identify a specific criteria set.[11] Not surprisingly, there was and continues to be great variability in the application of outpatient versus inpatient status across hospitals in actual practice.[1, 12, 13] The ambiguity in the definition of a hospitalized patient's status helped spawn commercial clinical decision tools, such as InterQual (McKesson Corporation, San Francisco, CA) and MCG (formally known as Milliman Care Guidelines; MCG Health, LLC, Seattle, WA), to help define inpatients versus outpatients.[14, 15] However, these guidelines are complex, can be difficult to interpret and apply, and have been criticized for poor predictive value and attempting to replace physician judgment.[16, 17, 18] Furthermore, CMS has never formally endorsed any specific decision tool.
INPATIENT AND OUTPATIENT PAYMENTS AND THE RECOVERY AUDIT CONTRACTOR PROGRAM
In 2000, CMS started using Ambulatory Payment Classifications for hospital services, which made inpatient care more financially favorable for hospitals. In response to concerns that hospitals would be incentivized to overuse inpatient status, CMS made a number of changes to their payment system, including the creation of the Recovery Audit Program in 2003. This program was originally called the Recovery Audit Contractor (RAC) Program and continues to be most commonly referred to as the RAC program. The RAC program, tasked with finding and correcting improper claims to the Medicare program, began as a demonstration required in the Medicare Prescription Drug Improvement and Modernization Act of 2003 (MMA), and subsequently became a nationwide audit program under the Tax Relief and Health Care Act of 2006. Under this program, private contractors review hospital and billing records of Medicare patients and are paid on a contingency fee (8%12.5%) for all underpayments and overpayments that are identified and corrected.[19] Importantly, the RACs are not subject to any financial penalties for cases improperly denied.
RACs initially targeted many overnight inpatient stays for recoupment. These cases were attractive audit targets because the RACs could argue that the inpatient hospital services were delivered in the improper status based solely on the length of stay, without having to consider in their audit the complexity of decision making or medical necessity of the services provided. However, it is worth noting that with improvement in efficiency and advancements in medical technology, hospitals and physicians have been increasingly able to safely evaluate and treat medically complex and severely ill patients quickly, sometimes with just an overnight stay. As perspective, in 1965, the average length of stay for a Medicare patient was 13 days; in 2010, it was 5.4 days, with over one‐third of hospitalizations lasting <3 days.[20]
Concurrent with the increased RAC denials for services provided in an inpatient status, the use of observation services changed significantly from 2007 to 2012. The average length of stay for Medicare patients under outpatient status with observation services exceeded 24 hours in 2007, was 28.2 hours by 2009,[21] and grew to 29 hours by 2012.[22] Between July 2010 and December 2011, at the University of Wisconsin Hospital, 1 in 6 observation stays lasted longer than 48 hours, suggesting that long observation stays were no longer rare and exceptional as stated in CMS' own definition.[23] This same University of Wisconsin study also found that observation services were not well defined, with 1141 distinct diagnosis codes used for these services.[23]
Additionally, a Medicare Payment Advisory Commission (MedPAC; described on their website,
Hospitals have also expressed concern that the RAC contingency fee payment model and a lack of penalty for improper denials promotes overzealous auditing.[24, 25] RAC recoupment has increased from approximately $939 million in 2011, to $2.4 billion in 2012, to $3.8 billion in 2013.[26, 27, 28] Given the money now at stake, it is not surprising that hospitals have become very active in appealing RAC denials. Self‐reported data submitted to the American Hospital Association (AHA) for the months January 2014 to March of 2014 show that hospitals now appeal 50% of RAC denials and win 66% of these appeals.[29] The AHA data also show that 69% of self‐reporting hospitals spent over $10,000 to manage their audit and appeals process over this same 3‐month time period, with 11% spending more than $100,000.
This appeals process is not only costly to hospitals, it is also lengthy. As of January 2014, the average wait time for an appeal hearing with an administrative law judge (level 3 appeal) exceeded 16 months.[30] In fact, the appeals process has become so backlogged that hospitals' rights to assignment of level 3 (administrative law judge) appeals have been temporarily suspended.[30] In August 2014, CMS offered a $0.68 on the dollar partial payment for hospitals willing to settle all eligible outstanding appeals in an attempt to relieve the appeals backlog.[31] In addition, the AHA currently has a suit against the US Department of Health & Human Services over the RAC appeals backlog.[32]
Increased use of outpatient status may be driven by pressures from the RAC program and, potentially, by improvements in the efficiency of care. Because hospitals are paid less for care provided under outpatient status than they are for the identical care provided under inpatient status, hospitals faced both potential financial penalty for improvements in efficiency and the threat of RAC audits.
THE 2‐MIDNIGHT RULE: A FIX?
Given the challenges in defining inpatient versus outpatient hospitalization, the increasing use of outpatient status and the increasing length of stay of outpatient hospitalizations with observation services, in 2013, CMS responded with new policies to define the visit status for hospitalized patients. On August 2, 2013, CMS announced the fiscal year 2014 hospital Inpatient Prospective Payment System final rule (IPPS‐2014) to become effective October 1, 2013. This document was formally issued as part of the Federal Register on August 19, 2013.[33] Central to the CMS IPPS‐2014 was a 2‐midnight benchmark that offered a major change in how physicians were to determine the status (inpatient vs outpatient) of hospitalized patients. With this 2‐midnight benchmark, now informally known as the 2‐midnight rule, CMS finalized its proposal to generally consider patients that are expected by a practitioner (with knowledge of the case and with admitting privileges) to need hospitalization that will span 2 or more midnights as inpatient. The IPPS‐2014 also finalized the converse of this: hospitalizations expected to span <2 midnights are to be regarded as outpatient with 2 exceptions:
- If the hospitalization is associated with a procedure appearing on the previously described Medicare inpatient‐only procedures list, or
- A rare and unusual circumstance in which an inpatient admission would be reasonable regardless of length of stay. Currently, unanticipated mechanical ventilation initiated during the hospitalization visit is the only rare and unusual circumstance that qualifies as such an exception.[7]
CMS' stated goals and expectations for the 2‐midnight benchmark were:
- Reduce the growing number of prolonged hospitalizations (>48 hours) for Medicare beneficiaries under outpatient status.
- Decrease billing disputes between hospitals and Medicare auditors, especially RACs, by establishing more clearly defined, time‐based status criteria.
- Reduce the number of outpatient encounters overall. Because CMS expected the rule to convert a net increase of cases from outpatient to inpatient, resulting in higher payments to hospitals, CMS included a 0.2% payment cut in hospital reimbursement in the IPPS‐2014 as an offset.[33, 34]
Although unrelated to the goals and expectations above, the IPPS‐2014 also included a requirement that:
[T]he order [for inpatient admission] must be furnished by a qualified and licensed practitioner who has admitting privileges at the hospital as permitted by State law, and who is knowledgeable about the patient's hospital course, medical plan of care and current condition.
CMS allowed for an authentication (generally regarded as a cosignature that is timed and dated) of the inpatient admission order by an attending physician with admitting privileges, done prior to discharge, in cases where the inpatient order had been placed by a practitioner (such as a resident, fellow, or physician assistant) without admitting privileges. Attending physician authentication of the inpatient admission order must be done prior to discharge [a]s a condition of payment for hospital inpatient services under Medicare Part A.[35]
From the August 2, 2013 announcement until the effective date of October 1, 2013, hospitals had just 2 months to interpret and comply with the IPPS‐2014, a complex 546‐page document that required hospitals to make extensive changes to admission procedures, workflows, and electronic health records (EHRs). In addition, extensive physician, provider, and administrator education was needed. During these 2 months, hospitals continued to request additional information and clarification from CMS regarding many aspects of the IPPS‐2014, including basic questions that included (1) how to apply the 2‐midnight benchmark to patients who were transferred from 1 hospital to another and (2) when the clock started for hospital services in determining a patient's expected length of hospitalization.
Despite concerns voiced by Congress and medical organizations, the new policy went into effect as scheduled.[36, 37] However, just days prior to October 1, 2013, CMS issued a 3‐month limited suspension of auditing and enforcement of the 2‐midnight rule by the RACs that was subsequently extended by CMS 2 more times, first through March 31, 2014 and then again through September 30, 2014. Other audits to be performed by RACs and all other government audits, including those performed by Medicare Administrative Contractors (MACs) were allowed to continue.[38] In particular, the MACs were instructed to conduct patient status reviews using a probe and educate strategy, which, via educational outreach efforts, would instruct hospitals how to adapt to the new rule. On April 1, 2014, the Protecting Access to Medicare Act of 2014 was signed into law, which, under section 111 of this law, permitted CMS to continue medical review activities under the MAC probe and educate process through March of 2015, and prohibited CMS from allowing RACs to conduct inpatient hospital status reviews on claims with these same dates of admission, October 1, 2013 through March 31, 2015.
The MACs were created by the MMA of 2003, which mandated that the Secretary of Health & Human Services replace Part A Fiscal Intermediaries and Part B carriers with Medicare Administrative Contractors (MACs).[39] As established by CMS, MACs are multi‐state, regional contractors responsible for administering both Medicare Part A and Medicare Part B claims and serve as the primary operational contact between the Medicare Fee‐For‐Service program, and approximately 1.5 million health care providers enrolled in the program.[39]
THE IPPS‐2014 AND CMS' STATED GOALS AND EXPECTATIONS
In the analysis that accompanied the IPPS‐2014, Medicare expected the use of outpatient services to decrease overall, as the new rules would effectively eliminate almost all outpatient hospitalizations >48 hours. Although no official data are yet available from CMS, our early experience under the 2‐midnight rule has suggested that long observation stays have declined in frequency, a favorable outcome of the new policy. However, as designed, the new 2‐midnight IPPS rule most predominately affects 1‐day stays, or more accurately, 1‐midnight stays. This is because many hospitalizations that previously met inpatient criteria (as defined by commercially available products such as MCG or InterQual), but spanned <2 midnights would have been classified as inpatient prior to October 1, 2013. However, since October 1, 2013, these same hospitalizations are now classified as outpatient. An example of such a case is a patient who presents to an emergency department with symptoms of a transient ischemic attack and has a high ABCD (age 60 years, blood pressure 140/90 mm Hg at initial evaluation, clinical features, duration of symptoms, diabetes score).[40] Prior to the 2‐midnight rule, this patient, based on the severity of the signs and symptoms upon presentation, could have been appropriately hospitalized as an inpatient.
Now, under the current IPPS and the ability of many hospitals to efficiently evaluate and treat such patient in <2 midnights, the patient should be categorized as an outpatient, at least initially, despite the severity and high risk of his/her presentation. In fiscal year 2013, The Johns Hopkins Hospital had 1791, 1‐day inpatient stays for Medicare beneficiaries, representing 15.2% of all Medicare admissions. Similarly, in the 12 months just prior to the 2‐midnight rule (October 1, 2012 to September 30, 2013), 10.4% (1280) of all Medicare encounters at the University of Wisconsin were 1‐day inpatient stays under previous criteria. Because of implementation of the 2‐midnight rule in October 2013, Medicare outpatient hospitalization for 1‐day stays at The Johns Hopkins Hospital increased by 49%, from an average of 117 patients/month to 174 patients/month. Nationally, it is possible that a reduction in long observation stays could be offset by an increase in 1‐day‐stay outpatient hospitalization encounters.
A second key expectation and goal of IPPS‐2014 was, by shifting to a more concrete, time‐based definition of inpatient, to decrease the disagreement between hospitals and auditors regarding patient status (inpatient vs outpatient). As noted earlier, many disputes with auditors for hospitalizations prior to October 2013 did not involve the need or type of hospital services provided, but rather the status under which the care was provided. However, the new time‐based criterion hinges not on actual length of hospitalization, but the expected length of hospitalization as determined by a practitioner with admitting privileges and knowledge of the patient. Accurately and consistently predicting the length of hospitalization has proven to be challenging, even for the most experienced practitioners. Since October 2013, for patients hospitalized at The Johns Hopkins Hospital through its emergency department, the admitting physicians' expectation of whether a patient would require 1 versus 2 or more midnights of necessary hospitalization was correct only half of the time. Given past experience, the RACs may challenge the medical judgment that lead practitioners to expect a hospitalization of 2 or more midnights without having to challenge whether the care provided was medically necessary.
Further, the IPPS‐2014 has not been accompanied by any significant changes to the payment scheme for auditors. RACs continue to be paid a percentage of any monies they determine to have been improperly paid by CMS, but with no penalty for cases that are overturned on appeal. Historically, the vast majority of RAC recovery fees have been due to determination of overpayments by CMS.[41, 42] Despite the 2‐midnight rule, RACs will continue to have a financial incentive to allege overpayment. In the initial probe and educate audits by MACs under the new 2014‐IPPS, despite inpatient admission orders being authenticated and certified by an attending physician, claims are being denied because the documentation does not support an expectation for a 2‐midnight hospitalization. Namely, auditors are continuing to challenge not the medical necessity of the services that hospitals provide, but rather the status in which those services were provided. Thus far, the IPPS‐2014 does not appear to fully remedy the auditing conflict that existed prior to October 2013.
As noted above, the IPPS‐2014 also requires, as of October 1, 2013, as a condition of payment for hospital services under Part A, that the inpatient admission order must be either entered by a practitioner with admitting privileges or authenticated prior to discharge by an attending physician involved in the care of the patient in cases in which the inpatient admission order was entered by a practitioner without admitting privileges (eg, resident, physician assistant, or fellow).[43] The requirement of an attending physician's cosignature has involved major changes to physician workflow and the electronic heath record (EHR) framework at The Johns Hopkins and the University of Wisconsin Hospitals, and does not keep up with modern healthcare systems in which patients are admitted 24 hours a day by a variety of providers (eg, residents, nurse practitioners) who otherwise may write stand‐alone orders. These changes have proven to be time‐consuming, costly, and have not, to our knowledge, improved patient care or utilization of resources.
The new visit status rules have also led to confusion among clinicians. A recent large survey of hospitalists conducted by the Society of Hospital Medicine demonstrated that more than half of respondents disagreed that the 2‐midnight rule improved hospitalist workflow compared to prior observation policy.[44] In addition, only 40% of hospitalists reported confidence in how to apply the rule.[44] Thus, the intent to clarify visit status policy with the IPPS‐2014 has not translated to clear and useful rules for frontline clinicians.
FUTURE DIRECTIONS
After over a year under the 2‐midnight rule, although long observation stays may be reduced, it seems unlikely these new regulations will achieve 2 of CMS' stated goals: (1) decreasing the use of outpatient status for hospitalizations and (2) resolving status disputes between auditors and hospitals. In addition, attempts at compliance with the new rules and regulations have diverted large amounts of physician time and hospital resources away from patient care. There is a clear need to reform both the hospitalization status policy and the RAC programs that enforce these rules.
One path Congress and CMS could consider is to reform the current Medicare reimbursement paradigm for hospital services to eliminate the need to distinguish inpatient from outpatient status. For example, H.R. 1179Improving Access to Medicare Coverage Act of 2013,[45] of the 113th Congress, if reintroduced, would decouple the link between the qualification for skilled nursing facility benefits from visit status by allowing time spent hospitalized as an outpatient to count toward the 3‐day benchmark. The overarching goals of any visit status policy reform should be to: (1) simplify or eliminate the 2‐track status process for hospitalized patients, (2) stop or minimize the threat of audits based on status, and (3) maintain budget neutrality. Two additional options for consideration would be to: (1) create a low‐acuity modifier for use with patients anticipated to have short stays and low resource use and (2) preselect specific Diagnosis Related Groups based on historical data and create designations for those diagnoses of lesser intensity. Accountable care organizations contracts, a new model for healthcare payment, could potentially be structured to eliminate or simplify payment based on visit status for hospitalized patients. With bundled payments on the horizon and the possible phase‐out of fee‐for‐service reimbursement, the issue may become less paramount in the coming years. No solution will be perfect and must balance costs, ease of administration, and beneficiary protection.
There are reasons to be optimistic that change may soon be realized. CMS is currently considering significant hospitalization status policy reform. In the proposed IPPS‐2015, CMS asked for input on payment for short‐stay hospitalizations and, in the final IPPS‐2015 released August 4, 2014, CMS indicated its willingness to continue to work with stakeholders in revising these policies.[46] Additionally, CMS has responded to hospitals on 3 separate occasions by delaying RAC audits pertaining to the 2‐midnight rule. Further, the current MAC probe and educate audits focus on education with respect to 2‐midnight rule implementation rather than threatening hospitals with major financial penalties.[47] Congress has also been responsive in this area. In addition to the 3 delays announced by CMS, Congress passed legislation that mandated an additional delay to RAC audits that pertain to the 2‐midnight rule. Moreover, the Subcommittee on Health of the House Ways and Means Committee held hearings that included the 2‐midnight rule and RAC reform in May 2014, and the Senate Special Committee on Aging held hearings on the impact of visit status on Medicare beneficiaries in July 2014.[48, 49] Additionally, the House Ways and Means Health Subcommittee recently issued a draft bill to address Medicare hospital issues.[50] The OIG has also been responsive to hospital concerns regarding the current RAC program with a recent report recommending that CMS develop additional performance evaluation metrics to improve RAC performance and ensure that RACs are evaluated on all contract requirements.[51] Additionally, MedPAC has been considering several short‐stay payment reform options, modifying the need for a 3‐day inpatient hospitalization to qualify for postdischarge skilled nursing facility benefits and adjusting RAC contingency fees based on overturn rates.[52, 53] These actions by CMS, Congress, and the OIG, as well as the options under consideration by MedPAC, demonstrate a degree of regulatory and legislative responsiveness to hospital and provider concerns in the area of visit status determination.
The Medicare program is vital to tens of millions of disabled and elderly Americans. Fraud and abuse of the Medicare program should not be tolerated. Yet, the current system of assigning, monitoring, and auditing outpatient versus inpatient hospital care is in need of reform. It will be up to CMS and Congress to continue to work with hospitals and physicians to find an improved way to appropriately and fairly compensate hospitals for hospital services in a way that that does not depend on a poorly defined and contentious status of a patient. Such reform must include the RAC program. It is our hope that both CMS and Congress will prioritize status determination and payment reform so that Medicare beneficiaries, physicians, and hospitals all have a sustainable, fair, and transparent process.
- Testimony of Jodi D Nudelman, Regional Inspector General for the Office of Evaluation and Inspections, Office of the Inspector General, US Department of Health and Human Services, Hearing: Current Hospital Issues in the Medicare Program, House Committee on Ways and Means, Subcommittee on Health, May 20, 2014. Available at: https://oig.hhs.gov/newsroom/testimony‐and‐speeches/index.asp. Accessed November 24, 2014.
- Centers for Medicare 173:1999–2000.
- US Department of Health 49:893–909.
- US Department of Health 28:95–111.
- http://www.modernhealthcare.com/article/20121117/MAGAZINE/311179951. Published November 17, 2012. Accessed November 9, 2014. . The price of admission: increasing use of decision‐support technology draws criticism for changing roles in hospital‐admissions process. Modern Healthcare website. Available at:
- The accuracy of interqual criteria in determining the need for observation versus hospitalization in emergency department patients with chronic heart failure. Crit Pathw Cardiol. 2013;12:192–196. , , , et al.
- US Department of Health 31:1251–1259.
- MedPAC March 2104 Report to the Congress, Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed on December 22, 2014.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173:1991–1998. , , , et al,
- The recovery audit contractor program and observation status for hospitalized Medicare beneficiaries. JAMA Internal Medicine blog. Available at: http://internalmedicineblog.jamainternalmed.com/2014/02/04/the‐recovery‐audit‐contractor‐program‐and‐observation‐status‐for‐hospitalized‐medicare‐beneficiaries. Published February 4, 2014. Accessed June 15, 2014. .
- Broken RAC system continues to hurt patients, providers. The Hospital Leader blog. Available at: http://blogs.hospitalmedicine.org/Blog/broken‐rac‐system‐continues‐to‐hurt‐patients‐providers. Published April 22, 2014. Accessed June 15, 2014. .
- US Department of Health 78(160). Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013‐18956.pdf. Accessed August 4, 2014.
- US Department of Health use of observation and inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. Available at: http://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed June 15, 2014.
- US Department of Health
- Testimony of Jodi D Nudelman, Regional Inspector General for the Office of Evaluation and Inspections, Office of the Inspector General, US Department of Health and Human Services, Hearing: Current Hospital Issues in the Medicare Program, House Committee on Ways and Means, Subcommittee on Health, May 20, 2014. Available at: https://oig.hhs.gov/newsroom/testimony‐and‐speeches/index.asp. Accessed November 24, 2014.
- Centers for Medicare 173:1999–2000.
- US Department of Health 49:893–909.
- US Department of Health 28:95–111.
- http://www.modernhealthcare.com/article/20121117/MAGAZINE/311179951. Published November 17, 2012. Accessed November 9, 2014. . The price of admission: increasing use of decision‐support technology draws criticism for changing roles in hospital‐admissions process. Modern Healthcare website. Available at:
- The accuracy of interqual criteria in determining the need for observation versus hospitalization in emergency department patients with chronic heart failure. Crit Pathw Cardiol. 2013;12:192–196. , , , et al.
- US Department of Health 31:1251–1259.
- MedPAC March 2104 Report to the Congress, Medicare Payment Policy. Available at: http://www.medpac.gov/documents/reports/mar14_entirereport.pdf?sfvrsn=0. Accessed on December 22, 2014.
- Hospitalized but not admitted: characteristics of patients with “observation status” at an academic medical center. JAMA Intern Med. 2013;173:1991–1998. , , , et al,
- The recovery audit contractor program and observation status for hospitalized Medicare beneficiaries. JAMA Internal Medicine blog. Available at: http://internalmedicineblog.jamainternalmed.com/2014/02/04/the‐recovery‐audit‐contractor‐program‐and‐observation‐status‐for‐hospitalized‐medicare‐beneficiaries. Published February 4, 2014. Accessed June 15, 2014. .
- Broken RAC system continues to hurt patients, providers. The Hospital Leader blog. Available at: http://blogs.hospitalmedicine.org/Blog/broken‐rac‐system‐continues‐to‐hurt‐patients‐providers. Published April 22, 2014. Accessed June 15, 2014. .
- US Department of Health 78(160). Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013‐18956.pdf. Accessed August 4, 2014.
- US Department of Health use of observation and inpatient stays for Medicare beneficiaries, OEI‐02‐12‐00040. Available at: http://oig.hhs.gov/oei/reports/oei‐02‐12‐00040.pdf. Accessed June 15, 2014.
- US Department of Health
Hospital Observation Care
Observation hospitalization is a growing phenomenon in the United States healthcare system.[1] For Medicare beneficiaries, observation encounters increased 33.6% from 2004 to 2011, with inpatient encounters decreasing by 7.8% over the same period.[2]
Observation length of stay has also increased. Medicare states that observation care should typically last <24 hours, and in only rare and exceptional cases exceed 48 hours. We and others have showed that observation stays, on average, do not meet this definition.[1, 3] At our institution, historically less than half of observation encounters discharge in under 24 hours, and 1 in 6 stay longer than 48 hours.[3]
The Centers for Medicare and Medicaid Services (CMS) issued a rules change effective October 1, 2013, in response to concern about recent increases in the length of time that CMS beneficiaries spend as hospital outpatients receiving observation services.[4] These rules shifted observation determination from clinical criteria, such as InterQual,[5] to a time‐based rule that hinges on a 2‐midnight cut point. Patients staying <2 midnights, with few exceptions, are now observation, and those staying 2 midnights are inpatients. This is important, as patients hospitalized as observation are technically outpatients, not covered by Medicare Part A hospital insurance, and ineligible for skilled nursing facility benefits.[3, 6]
Although challenges with observation status in general are well described,[1, 3, 7] the potential impact of the 2‐midnight rule is not fully known. The purpose of our descriptive study was to examine how the new rules, retrospectively applied to recent encounters, would affect our hospital encounters, with a separate analysis of Medicare encounters and adult general medicine encounters. First, as CMS predicted a net shift from outpatient to inpatient stays[8] under the new rule, we attempted to determine whether this rule would actually reduce observation encounter frequency. Second, as CMS has cited persistently large improper payment rates in short‐stay hospital inpatient claims[4] and intends to audit <2‐midnight inpatient encounters under the assumption that many are misclassified observation stays,[4, 8, 9] we sought to determine if short‐stay inpatient and observation encounters were truly the same. Third, as insurance coverage will change based on the 2‐midnight cut point, we sought to determine whether 2 midnights separated distinct clinical populations within observation status, making the rule logical and fair. Finally, we sought to determine whether external factors, such as time of admission, day of week of admission, and transfer to our institution would impact how patients may be classified under the new rule.
METHODS
Study Population
Our methods have been described previously[3] with the exception of the updated dates of inclusion. Briefly, we analyzed all observation and inpatient encounters at University of Wisconsin Hospital and Clinics (UWHC) and the adjacent American Family Children's Hospital, a tertiary care referral academic medical center in Madison, Wisconsin,[10] with start date between January 1, 2012 and February 28, 2013. Six encounters with length of stay (LOS) >6 months were censored as they were not discharged by the time of data abstraction, and 3 encounters were removed due to erroneous encounter discharge dates. Patients with all insurance types were included in anticipation that commercial payors will follow Medicare rules changes. The University of Wisconsin (UW) Health Sciences Institutional Review Board approved the study.
Data Sources
Data were abstracted from the UW Health Sciences electronic medical record and ancillary data systems by the UWHC Business Planning and Analysis Department. Variables included demographics (age, sex, ethnicity), insurance type, and characteristics of hospitalization (admission service, day of week encounter began, acute/unscheduled presentation, International Classification of Diseases, 9th Revision [ICD‐9] codes, LOS, transfer from other hospital). We considered inpatient admission start time to be departure from the emergency department (ED) or arrival at our hospital if the encounter was a transfer from another facility. Observation start time also hinged on arrival at our hospital if the encounter was transferred from another facility, but for observation encounters arriving from the ED, the ED rooming time was used as the encounter start based on conservative interpretation of CMS rules for observation start time under the 2‐midnight rule.[11] Discharge time for all encounters was considered physical discharge from the ward. Observation status decisions were made by the admitting physician, with as‐needed guidance by case management staff and utilization review physicians using InterQual Criteria (McKesson Corp, San Francisco, CA),[5] a reference historically used by CMS auditors to determine status.
Evaluation of the 2‐Midnight Rule
All encounters were stratified based on a stay of <2 midnights or 2 midnights. Because general medicine patients comprise the bulk of observation patients,[3] the subset of encounters occurring on the hospital's 4 hospitalist medicine services, 3 general medicine resident services, and 1 adult nonobstetrics family medicine service, collectively termed adult general medicine, were also evaluated separately. Medicare encounters were also evaluated separately.
We first specifically compared <2‐midnight inpatient encounters and 2‐midnight observation encounters during the study period to determine the net number of encounters that would lose inpatient status (<2‐midnight inpatient encounters) and that would gain inpatient status (2‐midnight observation encounters) under the new rules. Subtracting the absolute number of <2‐midnight inpatient encounters from the 2‐midnight observation encounters results in the net loss or gain of inpatient encounters, assuming LOS does not change. Second, we compared ICD‐9 codes between <2‐midnight inpatient encounters and observation encounters to determine if these 2 groups were clinically distinguishable. Third, we compared diagnosis codes between observation encounters lasting <2 midnights and 2 midnights to establish whether the 2‐midnight cut point defines distinct patient groups within observation. Finally, we evaluated all observation encounters to determine whether the time of admission, the day of admission (weekday vs weekend), or whether the encounter had been transferred from another facility impacted encounter categorization under the new rules.
Statistical Methods
Descriptive statistics were used in this study, with data largely summarized as number and percent. When appropriate, mean and standard deviation were used to describe central tendency and dispersion.
RESULTS
Characteristics of Inpatient and Observation Encounters
Of the 36,193 total hospital encounters during the study period, 4769 (13.2%) were classified as observation encounters. Of 8510 adult general medicine encounters, 2443 (28.7%) were observation. Adult general medicine observation encounters accounted for 51.2% of all observation encounters for the hospital. A total of 9.0% of our observation encounters were transferred from another institution (Table 1).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
Demographics | ||
Female | 15,083 (48.0%) | 2,321 (48.7%) |
Age, y, mean (SD) | 49.2 (23.6) | 49.4 (25.4) |
Has primary care provider | 27,378 (87.1%) | 4,152 (87.1%) |
Ethnicity | ||
Caucasian | 27,145 (86.4%) | 3,880 (81.4%) |
Non‐Caucasian | 3,478 (11.1%) | 739 (15.5%) |
Unknown | 801 (2.5%) | 150 (3.1%) |
Characteristics of hospitalization | ||
Day of admission | ||
Weekend (SaturdaySunday) | 5,058 (16.1%) | 1,129 (23.7%) |
Weekday (MondayFriday) | 26,360 (83.9%) | 3,640 (76.3%) |
Transfer from other institution | 6,191 (19.7%) | 427 (9.0%) |
Acute/unscheduled | 21,150 (67.3%) | 4,479 (93.9%) |
Service of admission | ||
Adult general medicine | 6,067 (19.3%) | 2,443 (51.2%) |
Adult surgery | 13,625 (43.4%) | 856 (17.9%) |
Adult subspecialty nonsurgery | 7,432 (23.7%) | 802 (16.8%) |
Pediatrics | 4,300 (13.7%) | 668 (14.0%) |
Insurance | ||
Medicare | 11,719 (37.3%) | 1,846 (38.7%) |
Medicaid | 3,642 (11.6%) | 658 (13.8%) |
Commercial | 13,321 (42.4%) | 1,817 (38.1%) |
Other | 1,665 (5.3%) | 184 (3.9%) |
None | 1,077 (3.4%) | 264 (5.5%) |
A total of 1442 (4.0%) encounters changed status during the study period, with 606 (42.0%) having changed from inpatient to observation and considered observation, and 836 (58.0%) having changed from observation to inpatient and considered inpatient.
Impact of the 2‐Midnight Rule on Number of Observation and Inpatient Encounters
Among all encounters, the 2‐midnight rule would result in a net transition of 14.9% of inpatient encounters to observation. Considering only Medicare encounters, the net transition would be 7.4% inpatient encounters to observation. Within adult general medicine patients, the parallel changes would be 2.2% (all insurance types) and a gain of 2.4% (Medicare only) (Table 2).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
All encounters, n=36,193 | ||
<2 Midnights | 6,723* (21.4%) | 3,454 (72.4%) |
2 Midnights | 24,701 (78.6%) | 1,315* (27.6%) |
Net change inpatient encounters | 5,408 (14.9%) | |
Medicare encounters, n=13,565 | ||
<2 Midnights | 1,728* (14.7%) | 1,127 (61.1%) |
2 Midnights | 9,991 (85.3%) | 719* (38.9%) |
Net change inpatient encounters | 1,009 (7.4%) | |
All general medicine, n=8,510 | ||
<2 Midnights | 1,114* (18.4%) | 1,512 (61.9%) |
2 Midnights | 4,953 (81.6%) | 931* (38.1%) |
Net change inpatient encounters | 183 (2.2%) | |
Medicare general medicine, n=4,571 | ||
<2 Midnights | 472* (14.3%) | 690 (54.2%) |
2 Midnights | 2,827 (85.7%) | 582* (45.8%) |
Net change inpatient encounters | 110 (2.4%) |
Encounters including surgical procedures on the so‐called inpatient‐only list will remain inpatient regardless of LOS. As we could not identify such encounters, we tested removal of all surgical stays under the overly conservative assumption that all short stay surgical patients would remain inpatient. Of 21,712 nonsurgical encounters that remained, there were 4074 <2‐midnight inpatient encounters and 1146 2‐midnight observation encounters, yielding a net transition of 2928 (13.5%) inpatient encounters to observation encounters. Medicare encounters accounted for 8240 of these 21,712 (38.0%) nonsurgical encounters, with 1105 <2‐midnight inpatient encounters and 653 2‐midnight observation encounters, yielding a net reclassification of 452 (5.5%) Medicare nonsurgical inpatient encounters to observation encounters.
Length of Stay and Diagnoses After Application of the 2‐Midnight Rule to Inpatient and Observation Encounters
Only 1 of the top 5 ICD‐9 codes (code 427: cardiac dysrhythmias) was shared between the 2‐midnight inpatient encounters and any observation encounter group. When the same criteria were applied to adult general medicine encounters, none of the top 5 ICD‐9 codes were shared (Table 3).
All Encounters, n=36,193 | ||||||||
---|---|---|---|---|---|---|---|---|
Inpatient Stays Shorter Than 2 Midnights, n=6,723 (21.4%) | Inpatient Stays 2 Midnights, n=24,701 (78.6%) | Observation Stays Shorter Than 2 Midnights, n=3,454 (72.4%) | Observation Stays 2 Midnights n=1,315 (27.6%) | |||||
| ||||||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 1,026 (15.3%) | 4,032 (16.3%) | 781 (22.6%) | 348 (26.5%) | ||||
Weekday (MondayFriday) | 5,697 (84.7%) | 20,669 (83.7%) | 2,673 (77.4%) | 967 (73.5%) | ||||
Transfer from another institution | 986 (14.7%) | 5,205 (21.1%) | 297 (8.6%) | 130 (9.9%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 996: Complications peculiar to specific procedure | 200 (3.0%) | 996: Complications peculiar to specific procedure | 1,355 (5.5%) | 786: Symptoms involving respiratory/other chest | 531 (15.4%) | 780: General symptoms | 124 (9.4%) |
ICD‐9 #2 | 427: Cardiac dysrhythmias | 195 (2.9%) | 715: Osteoarthrosis and allied disorders | 917 (3.7%) | 780: General symptoms | 235 (6.8%) | 786: Symptoms involving respiratory/other chest | 80 (6.1%) |
ICD‐9 #3 | 722: Intervertebral disk disorder | 182 (2.7%) | 038: Septicemia | 689 (2.8%) | 427: Cardiac dysrhythmias | 103 (3.0%) | 789: Other symptoms involving abdomen/pelvis | 48 (3.7%) |
ICD‐9 #4 | 540: Acute appendicitis | 179 (2.7%) | 296: Episodic mood disorder | 619 (2.5%) | 789: Other symptoms involving abdomen/pelvis | 89 (2.6%) | 787: Symptoms involving digestive system | 38 (2.9%) |
ICD‐9 #5 | V58: Encounter for other and unspecified procedures | 176 (2.6%) | 998: Other complications of procedures not elsewhere classified | 516 (2.1%) | 787: Symptoms involving digestive system | 56 (1.6%) | 599: Other disorders of urethra/urinary tract | 35 (2.7%) |
Adult General Medicine Encounters, n=8,510 | ||||||||
Inpatient Stays Shorter Than 2 Midnights, n=1,114 (18.4%) | Inpatient Stays 2 Midnights, n=4,953 (81.6%) | Observation Stays Shorter Than 2 Midnights, n=1,512 (61.9%) | Observation Stays 2 Midnights, n=931 (38.1%) | |||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 253 (22.7%) | 1,189 (24.0%) | 318 (21.0%) | 261 (28.0%) | ||||
Weekday (MondayFriday) | 861 (77.3%) | 3,764 (76.0%) | 1,194 (79.0%) | 670 (72.0%) | ||||
Transfer from another institution | 89 (8.0%) | 1,193 (24.1%) | 61 (4.0%) | 75 (8.1%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 415: Acute pulmonary heart disease | 57 (5.1%) | 038: Septicemia | 423 (8.5%) | 786: Symptoms involving respiratory/other chest | 315 (20.8%) | 780: General symptoms | 99 (10.6%) |
ICD‐9 #2 | 276: Disorders of fluid/electrolyte, acid/base | 51 (4.6%) | 486: Pneumonia | 206 (4.2%) | 780: General symptoms | 138 (9.1%) | 786: Symptoms involving respiratory/other chest | 51 (5.5%) |
ICD‐9 #3 | 682: Other cellulitis and abscess | 47 (4.2%) | 584: Acute kidney failure | 181 (3.7%) | 789: Other symptoms involving abdomen/pelvis | 47 (3.1%) | 789: Other symptoms involving abdomen/pelvis | 37 (4.0%) |
ICD‐9 #4 | 427: Cardiac dysrhythmias | 43 (3.9%) | 577: Diseases of the pancreas | 181 (3.7%) | 787: Symptoms involving digestive system | 35 (2.3%) | 599: Other disorders of urethra/urinary tract | 30 (3.2%) |
ICD‐9 #5 | 250: Diabetes mellitus | 40 (3.6%) | 682: Other cellulitis and abscess | 175 (3.5%) | 305: Nondependent abuse of drugs | 32 (2.1%) | 787: Symptoms involving digestive system | 28 (3.0%) |
Including all observation encounters across LOS, 4 of the 5 top ICD‐9 codes were the same for stays <2 midnights and 2 midnights. The same was true for short‐ and long‐stay general medicine observation encounters (Table 3).
For all observation encounters, 26.5% (348/1315) of 2‐midnight encounters started on a weekend compared to 22.6% (781/3454) of <2‐midnight encounters. For adult medicine observation, 28.0% (261/931) of 2‐midnight encounters started on a weekend compared to 21.0% (318/1512) of <2‐midnight encounters (Table 3).
Percentage of Observation Encounters Reaching 2 Midnights Based on Time of Hospitalization
Observation encounters starting before 8:00 am spanned 2 midnights 13.6% of the time, and those encounters starting after 4:00 pm crossed 2 midnights 31.2% of the time. Two of the 3 top ICD‐9 codes were the same across LOS, with similar findings for the adult general medicine‐only group (Figure 1).
DISCUSSION
Although CMS predicts that more patients will be classified as inpatients under the new rule, we determined the opposite, consistent with a recent report generated by the Office of the Inspector General (OIG) for 2012 Medicare beneficiaries.[8] Our results did not change when we excluded all surgical encounters to account for possible exclusions based on the surgical inpatient‐only list. Although a small percentage of Medicare adult general medicine patients may be reclassified as inpatients under the new rules, the net effect would be that many more hospital encounters will be billed under observation rather than inpatient status. These findings assume overall length of stay will remain unchanged under these rules, an assumption that may not hold true given the financial losses we predicted hospitals may face under this rule,[12] and potential pressures on individual physicians providing patient care.
Medicare has prioritized auditing <2‐midnight inpatient encounters under the assumption that many short inpatient encounters are actually misclassified observation encounters,[4, 8, 9] prompting us to investigate whether this was the case in our patient population. Although it did not use ICD‐9 diagnosis codes, the OIG report suggested that short‐stay inpatients and observation patients may be clinically similar.[8, 13] Using ICD‐9 codes, we found no overlap between the top ICD‐9 codes for adult general medicine <2‐midnight inpatient and observation encounters, and only 1 of 5 shared codes for these encounters across all service lines. These findings are counter to the OIG report, and suggest that <2‐midnight inpatients are different from observation patients at our institution, and that <2‐midnight inpatients should not be arbitrarily reclassified as observation based solely upon LOS.
We also found that the majority of top ICD‐9 codes within observation were the same regardless of LOS, suggesting that LOS does not reliably differentiate clinically different observation populations that merit different insurance coverage (Medicare Part A for 2‐midnight encounters, Medicare Part B for <2‐midnight encounters). This lack of a clear cut point may drive an overall increase in LOS to achieve 2 midnights, as common diagnosis codes can be justified for both <2‐midnight or 2‐midnight observation stays.
Finally, we found that external factors, such as the time of day and specific day (weekday vs weekend) of hospitalization, impact the likelihood of achieving a 2‐midnight stay. Patients hospitalized earlier in the day were less likely to span 2 midnights compared to later‐day encounters, suggesting that use of a full working day as the day of presentation is harmful to a patient's chance of gaining inpatient status. Observation hospitalizations starting on a weekend day were more likely to achieve 2 midnights, which likely reflects different resource allocation and hospital efficiency on weekends, yet it is unlikely that weekend midnights, if associated with any delay in care, will be counted toward a patient's cumulative 2‐midnight total. The CMS has further indicated that midnights accrued prior to transfer from 1 hospital to another will not count toward a cumulative 2‐midnight stay. Although it would seem likely that patients requiring transfer to a tertiary care center would meet inpatient criteria, 9% of our observation encounters were transferred from other acute care hospitals, and many will have lost attributable midnights accrued prior to transfer to our hospital. Taken together, our findings strongly suggest that issues entirely unrelated to diagnosis or clinical status will impact whether hospitalized patients will be classified as inpatient or observation under the new rule.
This study has several limitations. Our data were limited to a single Midwestern tertiary care academic medical center, and may not be applicable to other healthcare settings. Second, 1.5% (466) of our inpatient stays and 56 (1.2%) of our observation encounters lacked a referral source in our administrative database, although these deficiencies would not likely change the conclusions. Finally, the total number of observation encounters starting before 8:00 am and staying 2 midnights was small and therefore potentially subject to confounding. However, despite the fact that encounters beginning in the early morning hours may be different in ways unable to be measured in this study, encounter ICD‐9 codes were similar regardless of time of day.
Despite these limitations, our study raises concerns about the impact of CMS's new time‐driven observation rules on hospital practice patterns. We found distinctly different <2‐midnight inpatient ICD‐9 codes as compared to those for observation encounters. Reclassifying <2‐midnight inpatients as observation may inappropriately shift the financial burden of acute hospitalizations to patients who were previously eligible to receive Medicare inpatient benefits. We also demonstrated a decrease in billable inpatient encounters under the new rules, which may be countered by changes in hospital and provider practice to drive more admissions over the 2‐midnight threshold to avoid financial losses. These changes should be defensible under audit given the ambiguities of the rule we found in this study surrounding time of day of admission, weekend and transfer hospitalizations, and the fact that common observation ICD‐9 codes are similar across LOS. Ironically, the unintended consequence of the new rule may be to drive up hospital LOS, reduce efficiency, and increase the overall cost of care.
Our findings suggest that CMS should define observation care per its original intent: as a means to determine if a patient can safely return home after a short period of additional care.[6] Patients whose conditions necessitate an intensity and level of service beyond this narrow scope should be classified as full inpatients irrespective of LOS, whether that LOS is <2 midnights or 2 midnights. Policies that fail to reflect the original intent of observation status are unlikely to achieve the intended outcome of defining 2 distinct patient populations that merit different services and reimbursement.
Acknowledgements
The authors thank Andrew LaRocque and Dan Dexter for their assistance with the data. Without their help, this article would not have been possible.
Disclosures: Dr. Graf reports receiving royalties from Smith & Nephew for patents he has assigned to them involving orthopedic implants. This is unrelated to the topic or content of this manuscript. The authors report no other conflicts of interest.
Editor's Note: On February 24, 2014, after this manuscript was published, CMS issued a rules clarification allowing midnights spent at a referral hospital prior to transfer to be counted in the cumulative 2 midnight tally to determine inpatient status.
- Sharp rise in Medicare enrollees being held hospitals for observation raises concerns about causes and consequences. Health Aff (Millwood). 2012;31(6):1251–1259. , , .
- MedPAC report to Congress: hospital inpatient and outpatient services. Available at: http://www.medpac.gov/chapters/Mar13_Ch03.pdf. Accessed September 29, 2013.
- Hospitalized but not admitted: characteristics of patients with “Observation Status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Centers for Medicare and Medicaid Services inpatient prospective payment system 1599‐F. Fiscal year 2014 final rule. Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013–18956.pdf. Accessed December 22, 2013.
- McKesson Interqual. Available at: http://www.mckesson.com/en_us/McKesson.com/Payers/Decision%2BManagement/InterQual%2BEvidence‐Based%2BClinical%2BContent/InterQual%2BEvidence‐Based%2BClinical%2BContent.html. Accessed October 3, 2013.
- Medicare benefit policy manual. Chapter 6. Hospital services covered under Part B. Available at: https://www.cms.gov/transmittals/downloads/R42BP.pdf. Accessed December 22, 2013.
- Thinking of admitting this patient? Think again: how observation care is complicating life for you (and your patients). Today's Hospitalist. Available at: http://www.todayshospitalist.com/index.php?b=articles_read173(21):2004–2006. .
- Kaiser Health News. HHS Inspector General scrutinizes Medicare observation care policy. Available at: http://www.kaiserhealthnews.org/stories/2013/july/30/ig‐report‐observation‐care.aspx. Accessed October 3, 2013.
Observation hospitalization is a growing phenomenon in the United States healthcare system.[1] For Medicare beneficiaries, observation encounters increased 33.6% from 2004 to 2011, with inpatient encounters decreasing by 7.8% over the same period.[2]
Observation length of stay has also increased. Medicare states that observation care should typically last <24 hours, and in only rare and exceptional cases exceed 48 hours. We and others have showed that observation stays, on average, do not meet this definition.[1, 3] At our institution, historically less than half of observation encounters discharge in under 24 hours, and 1 in 6 stay longer than 48 hours.[3]
The Centers for Medicare and Medicaid Services (CMS) issued a rules change effective October 1, 2013, in response to concern about recent increases in the length of time that CMS beneficiaries spend as hospital outpatients receiving observation services.[4] These rules shifted observation determination from clinical criteria, such as InterQual,[5] to a time‐based rule that hinges on a 2‐midnight cut point. Patients staying <2 midnights, with few exceptions, are now observation, and those staying 2 midnights are inpatients. This is important, as patients hospitalized as observation are technically outpatients, not covered by Medicare Part A hospital insurance, and ineligible for skilled nursing facility benefits.[3, 6]
Although challenges with observation status in general are well described,[1, 3, 7] the potential impact of the 2‐midnight rule is not fully known. The purpose of our descriptive study was to examine how the new rules, retrospectively applied to recent encounters, would affect our hospital encounters, with a separate analysis of Medicare encounters and adult general medicine encounters. First, as CMS predicted a net shift from outpatient to inpatient stays[8] under the new rule, we attempted to determine whether this rule would actually reduce observation encounter frequency. Second, as CMS has cited persistently large improper payment rates in short‐stay hospital inpatient claims[4] and intends to audit <2‐midnight inpatient encounters under the assumption that many are misclassified observation stays,[4, 8, 9] we sought to determine if short‐stay inpatient and observation encounters were truly the same. Third, as insurance coverage will change based on the 2‐midnight cut point, we sought to determine whether 2 midnights separated distinct clinical populations within observation status, making the rule logical and fair. Finally, we sought to determine whether external factors, such as time of admission, day of week of admission, and transfer to our institution would impact how patients may be classified under the new rule.
METHODS
Study Population
Our methods have been described previously[3] with the exception of the updated dates of inclusion. Briefly, we analyzed all observation and inpatient encounters at University of Wisconsin Hospital and Clinics (UWHC) and the adjacent American Family Children's Hospital, a tertiary care referral academic medical center in Madison, Wisconsin,[10] with start date between January 1, 2012 and February 28, 2013. Six encounters with length of stay (LOS) >6 months were censored as they were not discharged by the time of data abstraction, and 3 encounters were removed due to erroneous encounter discharge dates. Patients with all insurance types were included in anticipation that commercial payors will follow Medicare rules changes. The University of Wisconsin (UW) Health Sciences Institutional Review Board approved the study.
Data Sources
Data were abstracted from the UW Health Sciences electronic medical record and ancillary data systems by the UWHC Business Planning and Analysis Department. Variables included demographics (age, sex, ethnicity), insurance type, and characteristics of hospitalization (admission service, day of week encounter began, acute/unscheduled presentation, International Classification of Diseases, 9th Revision [ICD‐9] codes, LOS, transfer from other hospital). We considered inpatient admission start time to be departure from the emergency department (ED) or arrival at our hospital if the encounter was a transfer from another facility. Observation start time also hinged on arrival at our hospital if the encounter was transferred from another facility, but for observation encounters arriving from the ED, the ED rooming time was used as the encounter start based on conservative interpretation of CMS rules for observation start time under the 2‐midnight rule.[11] Discharge time for all encounters was considered physical discharge from the ward. Observation status decisions were made by the admitting physician, with as‐needed guidance by case management staff and utilization review physicians using InterQual Criteria (McKesson Corp, San Francisco, CA),[5] a reference historically used by CMS auditors to determine status.
Evaluation of the 2‐Midnight Rule
All encounters were stratified based on a stay of <2 midnights or 2 midnights. Because general medicine patients comprise the bulk of observation patients,[3] the subset of encounters occurring on the hospital's 4 hospitalist medicine services, 3 general medicine resident services, and 1 adult nonobstetrics family medicine service, collectively termed adult general medicine, were also evaluated separately. Medicare encounters were also evaluated separately.
We first specifically compared <2‐midnight inpatient encounters and 2‐midnight observation encounters during the study period to determine the net number of encounters that would lose inpatient status (<2‐midnight inpatient encounters) and that would gain inpatient status (2‐midnight observation encounters) under the new rules. Subtracting the absolute number of <2‐midnight inpatient encounters from the 2‐midnight observation encounters results in the net loss or gain of inpatient encounters, assuming LOS does not change. Second, we compared ICD‐9 codes between <2‐midnight inpatient encounters and observation encounters to determine if these 2 groups were clinically distinguishable. Third, we compared diagnosis codes between observation encounters lasting <2 midnights and 2 midnights to establish whether the 2‐midnight cut point defines distinct patient groups within observation. Finally, we evaluated all observation encounters to determine whether the time of admission, the day of admission (weekday vs weekend), or whether the encounter had been transferred from another facility impacted encounter categorization under the new rules.
Statistical Methods
Descriptive statistics were used in this study, with data largely summarized as number and percent. When appropriate, mean and standard deviation were used to describe central tendency and dispersion.
RESULTS
Characteristics of Inpatient and Observation Encounters
Of the 36,193 total hospital encounters during the study period, 4769 (13.2%) were classified as observation encounters. Of 8510 adult general medicine encounters, 2443 (28.7%) were observation. Adult general medicine observation encounters accounted for 51.2% of all observation encounters for the hospital. A total of 9.0% of our observation encounters were transferred from another institution (Table 1).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
Demographics | ||
Female | 15,083 (48.0%) | 2,321 (48.7%) |
Age, y, mean (SD) | 49.2 (23.6) | 49.4 (25.4) |
Has primary care provider | 27,378 (87.1%) | 4,152 (87.1%) |
Ethnicity | ||
Caucasian | 27,145 (86.4%) | 3,880 (81.4%) |
Non‐Caucasian | 3,478 (11.1%) | 739 (15.5%) |
Unknown | 801 (2.5%) | 150 (3.1%) |
Characteristics of hospitalization | ||
Day of admission | ||
Weekend (SaturdaySunday) | 5,058 (16.1%) | 1,129 (23.7%) |
Weekday (MondayFriday) | 26,360 (83.9%) | 3,640 (76.3%) |
Transfer from other institution | 6,191 (19.7%) | 427 (9.0%) |
Acute/unscheduled | 21,150 (67.3%) | 4,479 (93.9%) |
Service of admission | ||
Adult general medicine | 6,067 (19.3%) | 2,443 (51.2%) |
Adult surgery | 13,625 (43.4%) | 856 (17.9%) |
Adult subspecialty nonsurgery | 7,432 (23.7%) | 802 (16.8%) |
Pediatrics | 4,300 (13.7%) | 668 (14.0%) |
Insurance | ||
Medicare | 11,719 (37.3%) | 1,846 (38.7%) |
Medicaid | 3,642 (11.6%) | 658 (13.8%) |
Commercial | 13,321 (42.4%) | 1,817 (38.1%) |
Other | 1,665 (5.3%) | 184 (3.9%) |
None | 1,077 (3.4%) | 264 (5.5%) |
A total of 1442 (4.0%) encounters changed status during the study period, with 606 (42.0%) having changed from inpatient to observation and considered observation, and 836 (58.0%) having changed from observation to inpatient and considered inpatient.
Impact of the 2‐Midnight Rule on Number of Observation and Inpatient Encounters
Among all encounters, the 2‐midnight rule would result in a net transition of 14.9% of inpatient encounters to observation. Considering only Medicare encounters, the net transition would be 7.4% inpatient encounters to observation. Within adult general medicine patients, the parallel changes would be 2.2% (all insurance types) and a gain of 2.4% (Medicare only) (Table 2).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
All encounters, n=36,193 | ||
<2 Midnights | 6,723* (21.4%) | 3,454 (72.4%) |
2 Midnights | 24,701 (78.6%) | 1,315* (27.6%) |
Net change inpatient encounters | 5,408 (14.9%) | |
Medicare encounters, n=13,565 | ||
<2 Midnights | 1,728* (14.7%) | 1,127 (61.1%) |
2 Midnights | 9,991 (85.3%) | 719* (38.9%) |
Net change inpatient encounters | 1,009 (7.4%) | |
All general medicine, n=8,510 | ||
<2 Midnights | 1,114* (18.4%) | 1,512 (61.9%) |
2 Midnights | 4,953 (81.6%) | 931* (38.1%) |
Net change inpatient encounters | 183 (2.2%) | |
Medicare general medicine, n=4,571 | ||
<2 Midnights | 472* (14.3%) | 690 (54.2%) |
2 Midnights | 2,827 (85.7%) | 582* (45.8%) |
Net change inpatient encounters | 110 (2.4%) |
Encounters including surgical procedures on the so‐called inpatient‐only list will remain inpatient regardless of LOS. As we could not identify such encounters, we tested removal of all surgical stays under the overly conservative assumption that all short stay surgical patients would remain inpatient. Of 21,712 nonsurgical encounters that remained, there were 4074 <2‐midnight inpatient encounters and 1146 2‐midnight observation encounters, yielding a net transition of 2928 (13.5%) inpatient encounters to observation encounters. Medicare encounters accounted for 8240 of these 21,712 (38.0%) nonsurgical encounters, with 1105 <2‐midnight inpatient encounters and 653 2‐midnight observation encounters, yielding a net reclassification of 452 (5.5%) Medicare nonsurgical inpatient encounters to observation encounters.
Length of Stay and Diagnoses After Application of the 2‐Midnight Rule to Inpatient and Observation Encounters
Only 1 of the top 5 ICD‐9 codes (code 427: cardiac dysrhythmias) was shared between the 2‐midnight inpatient encounters and any observation encounter group. When the same criteria were applied to adult general medicine encounters, none of the top 5 ICD‐9 codes were shared (Table 3).
All Encounters, n=36,193 | ||||||||
---|---|---|---|---|---|---|---|---|
Inpatient Stays Shorter Than 2 Midnights, n=6,723 (21.4%) | Inpatient Stays 2 Midnights, n=24,701 (78.6%) | Observation Stays Shorter Than 2 Midnights, n=3,454 (72.4%) | Observation Stays 2 Midnights n=1,315 (27.6%) | |||||
| ||||||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 1,026 (15.3%) | 4,032 (16.3%) | 781 (22.6%) | 348 (26.5%) | ||||
Weekday (MondayFriday) | 5,697 (84.7%) | 20,669 (83.7%) | 2,673 (77.4%) | 967 (73.5%) | ||||
Transfer from another institution | 986 (14.7%) | 5,205 (21.1%) | 297 (8.6%) | 130 (9.9%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 996: Complications peculiar to specific procedure | 200 (3.0%) | 996: Complications peculiar to specific procedure | 1,355 (5.5%) | 786: Symptoms involving respiratory/other chest | 531 (15.4%) | 780: General symptoms | 124 (9.4%) |
ICD‐9 #2 | 427: Cardiac dysrhythmias | 195 (2.9%) | 715: Osteoarthrosis and allied disorders | 917 (3.7%) | 780: General symptoms | 235 (6.8%) | 786: Symptoms involving respiratory/other chest | 80 (6.1%) |
ICD‐9 #3 | 722: Intervertebral disk disorder | 182 (2.7%) | 038: Septicemia | 689 (2.8%) | 427: Cardiac dysrhythmias | 103 (3.0%) | 789: Other symptoms involving abdomen/pelvis | 48 (3.7%) |
ICD‐9 #4 | 540: Acute appendicitis | 179 (2.7%) | 296: Episodic mood disorder | 619 (2.5%) | 789: Other symptoms involving abdomen/pelvis | 89 (2.6%) | 787: Symptoms involving digestive system | 38 (2.9%) |
ICD‐9 #5 | V58: Encounter for other and unspecified procedures | 176 (2.6%) | 998: Other complications of procedures not elsewhere classified | 516 (2.1%) | 787: Symptoms involving digestive system | 56 (1.6%) | 599: Other disorders of urethra/urinary tract | 35 (2.7%) |
Adult General Medicine Encounters, n=8,510 | ||||||||
Inpatient Stays Shorter Than 2 Midnights, n=1,114 (18.4%) | Inpatient Stays 2 Midnights, n=4,953 (81.6%) | Observation Stays Shorter Than 2 Midnights, n=1,512 (61.9%) | Observation Stays 2 Midnights, n=931 (38.1%) | |||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 253 (22.7%) | 1,189 (24.0%) | 318 (21.0%) | 261 (28.0%) | ||||
Weekday (MondayFriday) | 861 (77.3%) | 3,764 (76.0%) | 1,194 (79.0%) | 670 (72.0%) | ||||
Transfer from another institution | 89 (8.0%) | 1,193 (24.1%) | 61 (4.0%) | 75 (8.1%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 415: Acute pulmonary heart disease | 57 (5.1%) | 038: Septicemia | 423 (8.5%) | 786: Symptoms involving respiratory/other chest | 315 (20.8%) | 780: General symptoms | 99 (10.6%) |
ICD‐9 #2 | 276: Disorders of fluid/electrolyte, acid/base | 51 (4.6%) | 486: Pneumonia | 206 (4.2%) | 780: General symptoms | 138 (9.1%) | 786: Symptoms involving respiratory/other chest | 51 (5.5%) |
ICD‐9 #3 | 682: Other cellulitis and abscess | 47 (4.2%) | 584: Acute kidney failure | 181 (3.7%) | 789: Other symptoms involving abdomen/pelvis | 47 (3.1%) | 789: Other symptoms involving abdomen/pelvis | 37 (4.0%) |
ICD‐9 #4 | 427: Cardiac dysrhythmias | 43 (3.9%) | 577: Diseases of the pancreas | 181 (3.7%) | 787: Symptoms involving digestive system | 35 (2.3%) | 599: Other disorders of urethra/urinary tract | 30 (3.2%) |
ICD‐9 #5 | 250: Diabetes mellitus | 40 (3.6%) | 682: Other cellulitis and abscess | 175 (3.5%) | 305: Nondependent abuse of drugs | 32 (2.1%) | 787: Symptoms involving digestive system | 28 (3.0%) |
Including all observation encounters across LOS, 4 of the 5 top ICD‐9 codes were the same for stays <2 midnights and 2 midnights. The same was true for short‐ and long‐stay general medicine observation encounters (Table 3).
For all observation encounters, 26.5% (348/1315) of 2‐midnight encounters started on a weekend compared to 22.6% (781/3454) of <2‐midnight encounters. For adult medicine observation, 28.0% (261/931) of 2‐midnight encounters started on a weekend compared to 21.0% (318/1512) of <2‐midnight encounters (Table 3).
Percentage of Observation Encounters Reaching 2 Midnights Based on Time of Hospitalization
Observation encounters starting before 8:00 am spanned 2 midnights 13.6% of the time, and those encounters starting after 4:00 pm crossed 2 midnights 31.2% of the time. Two of the 3 top ICD‐9 codes were the same across LOS, with similar findings for the adult general medicine‐only group (Figure 1).
DISCUSSION
Although CMS predicts that more patients will be classified as inpatients under the new rule, we determined the opposite, consistent with a recent report generated by the Office of the Inspector General (OIG) for 2012 Medicare beneficiaries.[8] Our results did not change when we excluded all surgical encounters to account for possible exclusions based on the surgical inpatient‐only list. Although a small percentage of Medicare adult general medicine patients may be reclassified as inpatients under the new rules, the net effect would be that many more hospital encounters will be billed under observation rather than inpatient status. These findings assume overall length of stay will remain unchanged under these rules, an assumption that may not hold true given the financial losses we predicted hospitals may face under this rule,[12] and potential pressures on individual physicians providing patient care.
Medicare has prioritized auditing <2‐midnight inpatient encounters under the assumption that many short inpatient encounters are actually misclassified observation encounters,[4, 8, 9] prompting us to investigate whether this was the case in our patient population. Although it did not use ICD‐9 diagnosis codes, the OIG report suggested that short‐stay inpatients and observation patients may be clinically similar.[8, 13] Using ICD‐9 codes, we found no overlap between the top ICD‐9 codes for adult general medicine <2‐midnight inpatient and observation encounters, and only 1 of 5 shared codes for these encounters across all service lines. These findings are counter to the OIG report, and suggest that <2‐midnight inpatients are different from observation patients at our institution, and that <2‐midnight inpatients should not be arbitrarily reclassified as observation based solely upon LOS.
We also found that the majority of top ICD‐9 codes within observation were the same regardless of LOS, suggesting that LOS does not reliably differentiate clinically different observation populations that merit different insurance coverage (Medicare Part A for 2‐midnight encounters, Medicare Part B for <2‐midnight encounters). This lack of a clear cut point may drive an overall increase in LOS to achieve 2 midnights, as common diagnosis codes can be justified for both <2‐midnight or 2‐midnight observation stays.
Finally, we found that external factors, such as the time of day and specific day (weekday vs weekend) of hospitalization, impact the likelihood of achieving a 2‐midnight stay. Patients hospitalized earlier in the day were less likely to span 2 midnights compared to later‐day encounters, suggesting that use of a full working day as the day of presentation is harmful to a patient's chance of gaining inpatient status. Observation hospitalizations starting on a weekend day were more likely to achieve 2 midnights, which likely reflects different resource allocation and hospital efficiency on weekends, yet it is unlikely that weekend midnights, if associated with any delay in care, will be counted toward a patient's cumulative 2‐midnight total. The CMS has further indicated that midnights accrued prior to transfer from 1 hospital to another will not count toward a cumulative 2‐midnight stay. Although it would seem likely that patients requiring transfer to a tertiary care center would meet inpatient criteria, 9% of our observation encounters were transferred from other acute care hospitals, and many will have lost attributable midnights accrued prior to transfer to our hospital. Taken together, our findings strongly suggest that issues entirely unrelated to diagnosis or clinical status will impact whether hospitalized patients will be classified as inpatient or observation under the new rule.
This study has several limitations. Our data were limited to a single Midwestern tertiary care academic medical center, and may not be applicable to other healthcare settings. Second, 1.5% (466) of our inpatient stays and 56 (1.2%) of our observation encounters lacked a referral source in our administrative database, although these deficiencies would not likely change the conclusions. Finally, the total number of observation encounters starting before 8:00 am and staying 2 midnights was small and therefore potentially subject to confounding. However, despite the fact that encounters beginning in the early morning hours may be different in ways unable to be measured in this study, encounter ICD‐9 codes were similar regardless of time of day.
Despite these limitations, our study raises concerns about the impact of CMS's new time‐driven observation rules on hospital practice patterns. We found distinctly different <2‐midnight inpatient ICD‐9 codes as compared to those for observation encounters. Reclassifying <2‐midnight inpatients as observation may inappropriately shift the financial burden of acute hospitalizations to patients who were previously eligible to receive Medicare inpatient benefits. We also demonstrated a decrease in billable inpatient encounters under the new rules, which may be countered by changes in hospital and provider practice to drive more admissions over the 2‐midnight threshold to avoid financial losses. These changes should be defensible under audit given the ambiguities of the rule we found in this study surrounding time of day of admission, weekend and transfer hospitalizations, and the fact that common observation ICD‐9 codes are similar across LOS. Ironically, the unintended consequence of the new rule may be to drive up hospital LOS, reduce efficiency, and increase the overall cost of care.
Our findings suggest that CMS should define observation care per its original intent: as a means to determine if a patient can safely return home after a short period of additional care.[6] Patients whose conditions necessitate an intensity and level of service beyond this narrow scope should be classified as full inpatients irrespective of LOS, whether that LOS is <2 midnights or 2 midnights. Policies that fail to reflect the original intent of observation status are unlikely to achieve the intended outcome of defining 2 distinct patient populations that merit different services and reimbursement.
Acknowledgements
The authors thank Andrew LaRocque and Dan Dexter for their assistance with the data. Without their help, this article would not have been possible.
Disclosures: Dr. Graf reports receiving royalties from Smith & Nephew for patents he has assigned to them involving orthopedic implants. This is unrelated to the topic or content of this manuscript. The authors report no other conflicts of interest.
Editor's Note: On February 24, 2014, after this manuscript was published, CMS issued a rules clarification allowing midnights spent at a referral hospital prior to transfer to be counted in the cumulative 2 midnight tally to determine inpatient status.
Observation hospitalization is a growing phenomenon in the United States healthcare system.[1] For Medicare beneficiaries, observation encounters increased 33.6% from 2004 to 2011, with inpatient encounters decreasing by 7.8% over the same period.[2]
Observation length of stay has also increased. Medicare states that observation care should typically last <24 hours, and in only rare and exceptional cases exceed 48 hours. We and others have showed that observation stays, on average, do not meet this definition.[1, 3] At our institution, historically less than half of observation encounters discharge in under 24 hours, and 1 in 6 stay longer than 48 hours.[3]
The Centers for Medicare and Medicaid Services (CMS) issued a rules change effective October 1, 2013, in response to concern about recent increases in the length of time that CMS beneficiaries spend as hospital outpatients receiving observation services.[4] These rules shifted observation determination from clinical criteria, such as InterQual,[5] to a time‐based rule that hinges on a 2‐midnight cut point. Patients staying <2 midnights, with few exceptions, are now observation, and those staying 2 midnights are inpatients. This is important, as patients hospitalized as observation are technically outpatients, not covered by Medicare Part A hospital insurance, and ineligible for skilled nursing facility benefits.[3, 6]
Although challenges with observation status in general are well described,[1, 3, 7] the potential impact of the 2‐midnight rule is not fully known. The purpose of our descriptive study was to examine how the new rules, retrospectively applied to recent encounters, would affect our hospital encounters, with a separate analysis of Medicare encounters and adult general medicine encounters. First, as CMS predicted a net shift from outpatient to inpatient stays[8] under the new rule, we attempted to determine whether this rule would actually reduce observation encounter frequency. Second, as CMS has cited persistently large improper payment rates in short‐stay hospital inpatient claims[4] and intends to audit <2‐midnight inpatient encounters under the assumption that many are misclassified observation stays,[4, 8, 9] we sought to determine if short‐stay inpatient and observation encounters were truly the same. Third, as insurance coverage will change based on the 2‐midnight cut point, we sought to determine whether 2 midnights separated distinct clinical populations within observation status, making the rule logical and fair. Finally, we sought to determine whether external factors, such as time of admission, day of week of admission, and transfer to our institution would impact how patients may be classified under the new rule.
METHODS
Study Population
Our methods have been described previously[3] with the exception of the updated dates of inclusion. Briefly, we analyzed all observation and inpatient encounters at University of Wisconsin Hospital and Clinics (UWHC) and the adjacent American Family Children's Hospital, a tertiary care referral academic medical center in Madison, Wisconsin,[10] with start date between January 1, 2012 and February 28, 2013. Six encounters with length of stay (LOS) >6 months were censored as they were not discharged by the time of data abstraction, and 3 encounters were removed due to erroneous encounter discharge dates. Patients with all insurance types were included in anticipation that commercial payors will follow Medicare rules changes. The University of Wisconsin (UW) Health Sciences Institutional Review Board approved the study.
Data Sources
Data were abstracted from the UW Health Sciences electronic medical record and ancillary data systems by the UWHC Business Planning and Analysis Department. Variables included demographics (age, sex, ethnicity), insurance type, and characteristics of hospitalization (admission service, day of week encounter began, acute/unscheduled presentation, International Classification of Diseases, 9th Revision [ICD‐9] codes, LOS, transfer from other hospital). We considered inpatient admission start time to be departure from the emergency department (ED) or arrival at our hospital if the encounter was a transfer from another facility. Observation start time also hinged on arrival at our hospital if the encounter was transferred from another facility, but for observation encounters arriving from the ED, the ED rooming time was used as the encounter start based on conservative interpretation of CMS rules for observation start time under the 2‐midnight rule.[11] Discharge time for all encounters was considered physical discharge from the ward. Observation status decisions were made by the admitting physician, with as‐needed guidance by case management staff and utilization review physicians using InterQual Criteria (McKesson Corp, San Francisco, CA),[5] a reference historically used by CMS auditors to determine status.
Evaluation of the 2‐Midnight Rule
All encounters were stratified based on a stay of <2 midnights or 2 midnights. Because general medicine patients comprise the bulk of observation patients,[3] the subset of encounters occurring on the hospital's 4 hospitalist medicine services, 3 general medicine resident services, and 1 adult nonobstetrics family medicine service, collectively termed adult general medicine, were also evaluated separately. Medicare encounters were also evaluated separately.
We first specifically compared <2‐midnight inpatient encounters and 2‐midnight observation encounters during the study period to determine the net number of encounters that would lose inpatient status (<2‐midnight inpatient encounters) and that would gain inpatient status (2‐midnight observation encounters) under the new rules. Subtracting the absolute number of <2‐midnight inpatient encounters from the 2‐midnight observation encounters results in the net loss or gain of inpatient encounters, assuming LOS does not change. Second, we compared ICD‐9 codes between <2‐midnight inpatient encounters and observation encounters to determine if these 2 groups were clinically distinguishable. Third, we compared diagnosis codes between observation encounters lasting <2 midnights and 2 midnights to establish whether the 2‐midnight cut point defines distinct patient groups within observation. Finally, we evaluated all observation encounters to determine whether the time of admission, the day of admission (weekday vs weekend), or whether the encounter had been transferred from another facility impacted encounter categorization under the new rules.
Statistical Methods
Descriptive statistics were used in this study, with data largely summarized as number and percent. When appropriate, mean and standard deviation were used to describe central tendency and dispersion.
RESULTS
Characteristics of Inpatient and Observation Encounters
Of the 36,193 total hospital encounters during the study period, 4769 (13.2%) were classified as observation encounters. Of 8510 adult general medicine encounters, 2443 (28.7%) were observation. Adult general medicine observation encounters accounted for 51.2% of all observation encounters for the hospital. A total of 9.0% of our observation encounters were transferred from another institution (Table 1).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
Demographics | ||
Female | 15,083 (48.0%) | 2,321 (48.7%) |
Age, y, mean (SD) | 49.2 (23.6) | 49.4 (25.4) |
Has primary care provider | 27,378 (87.1%) | 4,152 (87.1%) |
Ethnicity | ||
Caucasian | 27,145 (86.4%) | 3,880 (81.4%) |
Non‐Caucasian | 3,478 (11.1%) | 739 (15.5%) |
Unknown | 801 (2.5%) | 150 (3.1%) |
Characteristics of hospitalization | ||
Day of admission | ||
Weekend (SaturdaySunday) | 5,058 (16.1%) | 1,129 (23.7%) |
Weekday (MondayFriday) | 26,360 (83.9%) | 3,640 (76.3%) |
Transfer from other institution | 6,191 (19.7%) | 427 (9.0%) |
Acute/unscheduled | 21,150 (67.3%) | 4,479 (93.9%) |
Service of admission | ||
Adult general medicine | 6,067 (19.3%) | 2,443 (51.2%) |
Adult surgery | 13,625 (43.4%) | 856 (17.9%) |
Adult subspecialty nonsurgery | 7,432 (23.7%) | 802 (16.8%) |
Pediatrics | 4,300 (13.7%) | 668 (14.0%) |
Insurance | ||
Medicare | 11,719 (37.3%) | 1,846 (38.7%) |
Medicaid | 3,642 (11.6%) | 658 (13.8%) |
Commercial | 13,321 (42.4%) | 1,817 (38.1%) |
Other | 1,665 (5.3%) | 184 (3.9%) |
None | 1,077 (3.4%) | 264 (5.5%) |
A total of 1442 (4.0%) encounters changed status during the study period, with 606 (42.0%) having changed from inpatient to observation and considered observation, and 836 (58.0%) having changed from observation to inpatient and considered inpatient.
Impact of the 2‐Midnight Rule on Number of Observation and Inpatient Encounters
Among all encounters, the 2‐midnight rule would result in a net transition of 14.9% of inpatient encounters to observation. Considering only Medicare encounters, the net transition would be 7.4% inpatient encounters to observation. Within adult general medicine patients, the parallel changes would be 2.2% (all insurance types) and a gain of 2.4% (Medicare only) (Table 2).
Inpatient, n=31,424 (86.8%) | Observation, n=4,769 (13.2%) | |
---|---|---|
| ||
All encounters, n=36,193 | ||
<2 Midnights | 6,723* (21.4%) | 3,454 (72.4%) |
2 Midnights | 24,701 (78.6%) | 1,315* (27.6%) |
Net change inpatient encounters | 5,408 (14.9%) | |
Medicare encounters, n=13,565 | ||
<2 Midnights | 1,728* (14.7%) | 1,127 (61.1%) |
2 Midnights | 9,991 (85.3%) | 719* (38.9%) |
Net change inpatient encounters | 1,009 (7.4%) | |
All general medicine, n=8,510 | ||
<2 Midnights | 1,114* (18.4%) | 1,512 (61.9%) |
2 Midnights | 4,953 (81.6%) | 931* (38.1%) |
Net change inpatient encounters | 183 (2.2%) | |
Medicare general medicine, n=4,571 | ||
<2 Midnights | 472* (14.3%) | 690 (54.2%) |
2 Midnights | 2,827 (85.7%) | 582* (45.8%) |
Net change inpatient encounters | 110 (2.4%) |
Encounters including surgical procedures on the so‐called inpatient‐only list will remain inpatient regardless of LOS. As we could not identify such encounters, we tested removal of all surgical stays under the overly conservative assumption that all short stay surgical patients would remain inpatient. Of 21,712 nonsurgical encounters that remained, there were 4074 <2‐midnight inpatient encounters and 1146 2‐midnight observation encounters, yielding a net transition of 2928 (13.5%) inpatient encounters to observation encounters. Medicare encounters accounted for 8240 of these 21,712 (38.0%) nonsurgical encounters, with 1105 <2‐midnight inpatient encounters and 653 2‐midnight observation encounters, yielding a net reclassification of 452 (5.5%) Medicare nonsurgical inpatient encounters to observation encounters.
Length of Stay and Diagnoses After Application of the 2‐Midnight Rule to Inpatient and Observation Encounters
Only 1 of the top 5 ICD‐9 codes (code 427: cardiac dysrhythmias) was shared between the 2‐midnight inpatient encounters and any observation encounter group. When the same criteria were applied to adult general medicine encounters, none of the top 5 ICD‐9 codes were shared (Table 3).
All Encounters, n=36,193 | ||||||||
---|---|---|---|---|---|---|---|---|
Inpatient Stays Shorter Than 2 Midnights, n=6,723 (21.4%) | Inpatient Stays 2 Midnights, n=24,701 (78.6%) | Observation Stays Shorter Than 2 Midnights, n=3,454 (72.4%) | Observation Stays 2 Midnights n=1,315 (27.6%) | |||||
| ||||||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 1,026 (15.3%) | 4,032 (16.3%) | 781 (22.6%) | 348 (26.5%) | ||||
Weekday (MondayFriday) | 5,697 (84.7%) | 20,669 (83.7%) | 2,673 (77.4%) | 967 (73.5%) | ||||
Transfer from another institution | 986 (14.7%) | 5,205 (21.1%) | 297 (8.6%) | 130 (9.9%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 996: Complications peculiar to specific procedure | 200 (3.0%) | 996: Complications peculiar to specific procedure | 1,355 (5.5%) | 786: Symptoms involving respiratory/other chest | 531 (15.4%) | 780: General symptoms | 124 (9.4%) |
ICD‐9 #2 | 427: Cardiac dysrhythmias | 195 (2.9%) | 715: Osteoarthrosis and allied disorders | 917 (3.7%) | 780: General symptoms | 235 (6.8%) | 786: Symptoms involving respiratory/other chest | 80 (6.1%) |
ICD‐9 #3 | 722: Intervertebral disk disorder | 182 (2.7%) | 038: Septicemia | 689 (2.8%) | 427: Cardiac dysrhythmias | 103 (3.0%) | 789: Other symptoms involving abdomen/pelvis | 48 (3.7%) |
ICD‐9 #4 | 540: Acute appendicitis | 179 (2.7%) | 296: Episodic mood disorder | 619 (2.5%) | 789: Other symptoms involving abdomen/pelvis | 89 (2.6%) | 787: Symptoms involving digestive system | 38 (2.9%) |
ICD‐9 #5 | V58: Encounter for other and unspecified procedures | 176 (2.6%) | 998: Other complications of procedures not elsewhere classified | 516 (2.1%) | 787: Symptoms involving digestive system | 56 (1.6%) | 599: Other disorders of urethra/urinary tract | 35 (2.7%) |
Adult General Medicine Encounters, n=8,510 | ||||||||
Inpatient Stays Shorter Than 2 Midnights, n=1,114 (18.4%) | Inpatient Stays 2 Midnights, n=4,953 (81.6%) | Observation Stays Shorter Than 2 Midnights, n=1,512 (61.9%) | Observation Stays 2 Midnights, n=931 (38.1%) | |||||
Day of admission | ||||||||
Weekend (Saturday Sunday) | 253 (22.7%) | 1,189 (24.0%) | 318 (21.0%) | 261 (28.0%) | ||||
Weekday (MondayFriday) | 861 (77.3%) | 3,764 (76.0%) | 1,194 (79.0%) | 670 (72.0%) | ||||
Transfer from another institution | 89 (8.0%) | 1,193 (24.1%) | 61 (4.0%) | 75 (8.1%) | ||||
Top diagnosis codes | ||||||||
ICD‐9 #1 | 415: Acute pulmonary heart disease | 57 (5.1%) | 038: Septicemia | 423 (8.5%) | 786: Symptoms involving respiratory/other chest | 315 (20.8%) | 780: General symptoms | 99 (10.6%) |
ICD‐9 #2 | 276: Disorders of fluid/electrolyte, acid/base | 51 (4.6%) | 486: Pneumonia | 206 (4.2%) | 780: General symptoms | 138 (9.1%) | 786: Symptoms involving respiratory/other chest | 51 (5.5%) |
ICD‐9 #3 | 682: Other cellulitis and abscess | 47 (4.2%) | 584: Acute kidney failure | 181 (3.7%) | 789: Other symptoms involving abdomen/pelvis | 47 (3.1%) | 789: Other symptoms involving abdomen/pelvis | 37 (4.0%) |
ICD‐9 #4 | 427: Cardiac dysrhythmias | 43 (3.9%) | 577: Diseases of the pancreas | 181 (3.7%) | 787: Symptoms involving digestive system | 35 (2.3%) | 599: Other disorders of urethra/urinary tract | 30 (3.2%) |
ICD‐9 #5 | 250: Diabetes mellitus | 40 (3.6%) | 682: Other cellulitis and abscess | 175 (3.5%) | 305: Nondependent abuse of drugs | 32 (2.1%) | 787: Symptoms involving digestive system | 28 (3.0%) |
Including all observation encounters across LOS, 4 of the 5 top ICD‐9 codes were the same for stays <2 midnights and 2 midnights. The same was true for short‐ and long‐stay general medicine observation encounters (Table 3).
For all observation encounters, 26.5% (348/1315) of 2‐midnight encounters started on a weekend compared to 22.6% (781/3454) of <2‐midnight encounters. For adult medicine observation, 28.0% (261/931) of 2‐midnight encounters started on a weekend compared to 21.0% (318/1512) of <2‐midnight encounters (Table 3).
Percentage of Observation Encounters Reaching 2 Midnights Based on Time of Hospitalization
Observation encounters starting before 8:00 am spanned 2 midnights 13.6% of the time, and those encounters starting after 4:00 pm crossed 2 midnights 31.2% of the time. Two of the 3 top ICD‐9 codes were the same across LOS, with similar findings for the adult general medicine‐only group (Figure 1).
DISCUSSION
Although CMS predicts that more patients will be classified as inpatients under the new rule, we determined the opposite, consistent with a recent report generated by the Office of the Inspector General (OIG) for 2012 Medicare beneficiaries.[8] Our results did not change when we excluded all surgical encounters to account for possible exclusions based on the surgical inpatient‐only list. Although a small percentage of Medicare adult general medicine patients may be reclassified as inpatients under the new rules, the net effect would be that many more hospital encounters will be billed under observation rather than inpatient status. These findings assume overall length of stay will remain unchanged under these rules, an assumption that may not hold true given the financial losses we predicted hospitals may face under this rule,[12] and potential pressures on individual physicians providing patient care.
Medicare has prioritized auditing <2‐midnight inpatient encounters under the assumption that many short inpatient encounters are actually misclassified observation encounters,[4, 8, 9] prompting us to investigate whether this was the case in our patient population. Although it did not use ICD‐9 diagnosis codes, the OIG report suggested that short‐stay inpatients and observation patients may be clinically similar.[8, 13] Using ICD‐9 codes, we found no overlap between the top ICD‐9 codes for adult general medicine <2‐midnight inpatient and observation encounters, and only 1 of 5 shared codes for these encounters across all service lines. These findings are counter to the OIG report, and suggest that <2‐midnight inpatients are different from observation patients at our institution, and that <2‐midnight inpatients should not be arbitrarily reclassified as observation based solely upon LOS.
We also found that the majority of top ICD‐9 codes within observation were the same regardless of LOS, suggesting that LOS does not reliably differentiate clinically different observation populations that merit different insurance coverage (Medicare Part A for 2‐midnight encounters, Medicare Part B for <2‐midnight encounters). This lack of a clear cut point may drive an overall increase in LOS to achieve 2 midnights, as common diagnosis codes can be justified for both <2‐midnight or 2‐midnight observation stays.
Finally, we found that external factors, such as the time of day and specific day (weekday vs weekend) of hospitalization, impact the likelihood of achieving a 2‐midnight stay. Patients hospitalized earlier in the day were less likely to span 2 midnights compared to later‐day encounters, suggesting that use of a full working day as the day of presentation is harmful to a patient's chance of gaining inpatient status. Observation hospitalizations starting on a weekend day were more likely to achieve 2 midnights, which likely reflects different resource allocation and hospital efficiency on weekends, yet it is unlikely that weekend midnights, if associated with any delay in care, will be counted toward a patient's cumulative 2‐midnight total. The CMS has further indicated that midnights accrued prior to transfer from 1 hospital to another will not count toward a cumulative 2‐midnight stay. Although it would seem likely that patients requiring transfer to a tertiary care center would meet inpatient criteria, 9% of our observation encounters were transferred from other acute care hospitals, and many will have lost attributable midnights accrued prior to transfer to our hospital. Taken together, our findings strongly suggest that issues entirely unrelated to diagnosis or clinical status will impact whether hospitalized patients will be classified as inpatient or observation under the new rule.
This study has several limitations. Our data were limited to a single Midwestern tertiary care academic medical center, and may not be applicable to other healthcare settings. Second, 1.5% (466) of our inpatient stays and 56 (1.2%) of our observation encounters lacked a referral source in our administrative database, although these deficiencies would not likely change the conclusions. Finally, the total number of observation encounters starting before 8:00 am and staying 2 midnights was small and therefore potentially subject to confounding. However, despite the fact that encounters beginning in the early morning hours may be different in ways unable to be measured in this study, encounter ICD‐9 codes were similar regardless of time of day.
Despite these limitations, our study raises concerns about the impact of CMS's new time‐driven observation rules on hospital practice patterns. We found distinctly different <2‐midnight inpatient ICD‐9 codes as compared to those for observation encounters. Reclassifying <2‐midnight inpatients as observation may inappropriately shift the financial burden of acute hospitalizations to patients who were previously eligible to receive Medicare inpatient benefits. We also demonstrated a decrease in billable inpatient encounters under the new rules, which may be countered by changes in hospital and provider practice to drive more admissions over the 2‐midnight threshold to avoid financial losses. These changes should be defensible under audit given the ambiguities of the rule we found in this study surrounding time of day of admission, weekend and transfer hospitalizations, and the fact that common observation ICD‐9 codes are similar across LOS. Ironically, the unintended consequence of the new rule may be to drive up hospital LOS, reduce efficiency, and increase the overall cost of care.
Our findings suggest that CMS should define observation care per its original intent: as a means to determine if a patient can safely return home after a short period of additional care.[6] Patients whose conditions necessitate an intensity and level of service beyond this narrow scope should be classified as full inpatients irrespective of LOS, whether that LOS is <2 midnights or 2 midnights. Policies that fail to reflect the original intent of observation status are unlikely to achieve the intended outcome of defining 2 distinct patient populations that merit different services and reimbursement.
Acknowledgements
The authors thank Andrew LaRocque and Dan Dexter for their assistance with the data. Without their help, this article would not have been possible.
Disclosures: Dr. Graf reports receiving royalties from Smith & Nephew for patents he has assigned to them involving orthopedic implants. This is unrelated to the topic or content of this manuscript. The authors report no other conflicts of interest.
Editor's Note: On February 24, 2014, after this manuscript was published, CMS issued a rules clarification allowing midnights spent at a referral hospital prior to transfer to be counted in the cumulative 2 midnight tally to determine inpatient status.
- Sharp rise in Medicare enrollees being held hospitals for observation raises concerns about causes and consequences. Health Aff (Millwood). 2012;31(6):1251–1259. , , .
- MedPAC report to Congress: hospital inpatient and outpatient services. Available at: http://www.medpac.gov/chapters/Mar13_Ch03.pdf. Accessed September 29, 2013.
- Hospitalized but not admitted: characteristics of patients with “Observation Status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Centers for Medicare and Medicaid Services inpatient prospective payment system 1599‐F. Fiscal year 2014 final rule. Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013–18956.pdf. Accessed December 22, 2013.
- McKesson Interqual. Available at: http://www.mckesson.com/en_us/McKesson.com/Payers/Decision%2BManagement/InterQual%2BEvidence‐Based%2BClinical%2BContent/InterQual%2BEvidence‐Based%2BClinical%2BContent.html. Accessed October 3, 2013.
- Medicare benefit policy manual. Chapter 6. Hospital services covered under Part B. Available at: https://www.cms.gov/transmittals/downloads/R42BP.pdf. Accessed December 22, 2013.
- Thinking of admitting this patient? Think again: how observation care is complicating life for you (and your patients). Today's Hospitalist. Available at: http://www.todayshospitalist.com/index.php?b=articles_read173(21):2004–2006. .
- Kaiser Health News. HHS Inspector General scrutinizes Medicare observation care policy. Available at: http://www.kaiserhealthnews.org/stories/2013/july/30/ig‐report‐observation‐care.aspx. Accessed October 3, 2013.
- Sharp rise in Medicare enrollees being held hospitals for observation raises concerns about causes and consequences. Health Aff (Millwood). 2012;31(6):1251–1259. , , .
- MedPAC report to Congress: hospital inpatient and outpatient services. Available at: http://www.medpac.gov/chapters/Mar13_Ch03.pdf. Accessed September 29, 2013.
- Hospitalized but not admitted: characteristics of patients with “Observation Status” at an academic medical center. JAMA Intern Med. 2013;173(21):1991–1998. , , , et al.
- Centers for Medicare and Medicaid Services inpatient prospective payment system 1599‐F. Fiscal year 2014 final rule. Available at: http://www.gpo.gov/fdsys/pkg/FR‐2013‐08‐19/pdf/2013–18956.pdf. Accessed December 22, 2013.
- McKesson Interqual. Available at: http://www.mckesson.com/en_us/McKesson.com/Payers/Decision%2BManagement/InterQual%2BEvidence‐Based%2BClinical%2BContent/InterQual%2BEvidence‐Based%2BClinical%2BContent.html. Accessed October 3, 2013.
- Medicare benefit policy manual. Chapter 6. Hospital services covered under Part B. Available at: https://www.cms.gov/transmittals/downloads/R42BP.pdf. Accessed December 22, 2013.
- Thinking of admitting this patient? Think again: how observation care is complicating life for you (and your patients). Today's Hospitalist. Available at: http://www.todayshospitalist.com/index.php?b=articles_read173(21):2004–2006. .
- Kaiser Health News. HHS Inspector General scrutinizes Medicare observation care policy. Available at: http://www.kaiserhealthnews.org/stories/2013/july/30/ig‐report‐observation‐care.aspx. Accessed October 3, 2013.
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