Affiliations
Department of Medicine, Durham Veterans Affairs Medical Center
Department of Medicine, Duke University Health System
Given name(s)
Vaishali
Family name
Patel
Degrees
MD

Telemetry Order Duration Reductions

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Reductions in telemetry order duration do not reduce telemetry utilization

The Society of Hospital Medicine's Adult Choosing Wisely measures include not ordering continuous telemetry monitoring outside of the ICU [intensive care unit] without using a protocol that governs continuation.[1] Current guidelines for cardiac monitoring use recommend minimum durations for all adult class I and most class II indications.[2] However, telemetry ordering often fails to include timing or criteria for discontinuation. We determined the impact of a reduction in telemetry order duration within our hospital, hypothesizing this reduction would lead to earlier reassessment of telemetry need and therefore decrease overall utilization.

METHODS

Setting

Durham Veterans Affairs Medical Center (DVAMC) is a 151‐bed tertiary care hospital within Veterans Affairs (VA) Integrated Services Network Region 6 (VISN 6) serving as the primary VA hospital for >54,000 patients and a referral hospital for VISN 6. Twenty‐five telemetry units are available for use on 2 wards with 48 potential telemetry beds. All nonintensive care wards contain general medical and surgical patients, without a primary inpatient cardiology service. Most orders are written by housestaff supervised by attending physicians.

Intervention

Prior to our intervention, the maximum allowable duration of telemetry orders was 72 hours. The duration was enforced by nursing staff automatically discontinuing telemetry not renewed within 72 hours. For our intervention, we reduced the duration of telemetry within our electronic ordering system in November 2013 so that orders had to be renewed within 48 hours or they were discontinued. No education regarding appropriate telemetry use was provided. This intervention was created as a quality‐improvement (QI) project affecting all telemetry use within DVAMC and was exempt from institutional review board review.

Outcomes

Outcomes included the mean number of telemetry orders per week, mean duration of telemetry orders, mean duration of telemetry per episode, and the ratio of time on telemetry relative to the total length of stay. As a balancing measure, we examined rates of rapid response and code blue events. All measures were compared for 12 weeks before and 16 weeks after the intervention. Telemetry orders and durations were obtained using the Corporate Data Warehouse.

Analysis

All outcome measurements were continuous variables and compared using the Student t test in Stata version 9.2 (StataCorp, College Station, TX).

RESULTS

Following the intervention, overall order duration decreased by 33% from 66.68.3 hours to 44.52.3 hours per order (P<0.01), mirroring the reduction in the maximum telemetry order duration from 72 to 48 hours (Table 1). However, an increase in telemetry order frequency after the intervention resulted in no significant change in telemetry duration per episode or the proportion of the hospitalization on telemetry (59.3 vs 56.3 hours per patient, P=0.43; and 66.4% vs 66.2% of hospitalization, P=0.58). Rapid response and code blue events did not differ significantly relative to the intervention (2.8 events per week before and 3.1 events per week after, P=0.63).

Telemetry Utilization Before and After the Quality Improvement Intervention
Before Intervention After Intervention P Value
  • NOTE: Abbreviations: NA, not applicable; RRT, rapid response team; SD, standard deviation.

No. of hospitalizations with telemetry ordered 557 684 NA
No. of telemetry orders 952 1515 NA
Average no. of orders per week (SD) 79.3 (9.2) 94.7 (25.9) 0.06
Hours of telemetry per order (SD) 66.6 (8.3) 44.5 (2.3) <0.01
Duration of telemetry per patient, h 59.3 56.3 0.43
% of hospitalizations receiving telemetry per patient 66.4% 66.2% 0.90
RRT/code blue events per week 2.8 3.1 0.63

DISCUSSION

Overall, telemetry utilization was unchanged in spite of an intervention successfully reducing telemetry order duration. Providers responded to this decreased order duration by increasing renewal orders, leaving the amount of time patients spent on telemetry unchanged.

Little primary evidence underlies the American Heart Association recommendations for duration of telemetry in general ward patients.[2] The existing literature documents the timing in which arrhythmias occur after cardiac surgery or myocardial infarction, and therefore is limited in guiding patient care outside intensive care unit settings.[3, 4] As such, hospitalists and inpatient providers have little data directing additional telemetry decisions for these patients, and none for patients requiring telemetry for other indications.

As interventions focusing solely on telemetry duration may not lead to changes in usage patterns, reducing telemetry utilization may require active stewardship. For example, explicit justification may be needed for renewal of telemetry orders. Similarly, education on appropriate telemetry indications in tandem with electronic ordering changes may be more likely to change behavior. Alternatively, incorporating data identifying chest pain patients at very low risk of developing arrhythmias or cardiac complications, based on published risk scores at the time of ordering, may lead to better decision making in initiating telemetry.[5, 6]

This QI project had several limitations. First, the intervention occurred in a facility with a previous telemetry order duration limit. In hospitals without a current duration limitation, some reduction in overall telemetry utilization may be possible. Second, this project was a nonrandom before/after study and potentially subject to bias due to confounding. However, our limited number of telemetry resources, the relatively low number of inpatient teams at our facility, and the inability to target geographic locations for team admissions would have made a cluster‐randomized trial impractical. Third, rationales for telemetry ordering were unknown, as well as drivers for increased orders after the intervention. Better understanding these factors could lead to targeted interventions in some settings.

CONCLUSION

In conclusion, a QI initiative reducing telemetry order duration did not reduce overall telemetry utilization but increased the number of telemetry orders written. Interventions incorporating appropriate telemetry indications or event risks may be required to change ordering behaviors.

Disclosure: Nothing to report.

Files
References
  1. Society of Hospital Medicine. Society of Hospital Medicine–adult hospital medicine: five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/society‐of‐hospital‐medicine‐adult‐hospital‐medicine. Accessed June 4, 2014.
  2. Drew BJ, Califf RM, Funk M, et al. Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young: endorsed by the International Society of Computerized Electrocardiology and the American Association of Critical‐Care Nurses. Circulation. 2004;110(17):27212746.
  3. Creswell LL, Schuessler RB, Rosenbloom M, Cox JL. Hazards of postoperative atrial arrhythmias. Ann Thorac Surg. 1993;56(3):539549.
  4. Newby LK, Hasselblad V, Armstrong PW, et al. Time‐based risk assessment after myocardial infarction. Implications for timing of discharge and applications to medical decision‐making. Eur Heart J. 2003;24(2):182189.
  5. Durairaj L, Reilly B, Das K, et al. Emergency department admissions to inpatient cardiac telemetry beds: a prospective cohort study of risk stratification and outcomes. Am J Med. 2001;110(1):711.
  6. Hollander JE, Sites FD, Pollack CV, Shofer FS. Lack of utility of telemetry monitoring for identification of cardiac death and life‐threatening ventricular dysrhythmias in low‐risk patients with chest pain. Ann Emerg Med. 2004;43(1):7176.
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The Society of Hospital Medicine's Adult Choosing Wisely measures include not ordering continuous telemetry monitoring outside of the ICU [intensive care unit] without using a protocol that governs continuation.[1] Current guidelines for cardiac monitoring use recommend minimum durations for all adult class I and most class II indications.[2] However, telemetry ordering often fails to include timing or criteria for discontinuation. We determined the impact of a reduction in telemetry order duration within our hospital, hypothesizing this reduction would lead to earlier reassessment of telemetry need and therefore decrease overall utilization.

METHODS

Setting

Durham Veterans Affairs Medical Center (DVAMC) is a 151‐bed tertiary care hospital within Veterans Affairs (VA) Integrated Services Network Region 6 (VISN 6) serving as the primary VA hospital for >54,000 patients and a referral hospital for VISN 6. Twenty‐five telemetry units are available for use on 2 wards with 48 potential telemetry beds. All nonintensive care wards contain general medical and surgical patients, without a primary inpatient cardiology service. Most orders are written by housestaff supervised by attending physicians.

Intervention

Prior to our intervention, the maximum allowable duration of telemetry orders was 72 hours. The duration was enforced by nursing staff automatically discontinuing telemetry not renewed within 72 hours. For our intervention, we reduced the duration of telemetry within our electronic ordering system in November 2013 so that orders had to be renewed within 48 hours or they were discontinued. No education regarding appropriate telemetry use was provided. This intervention was created as a quality‐improvement (QI) project affecting all telemetry use within DVAMC and was exempt from institutional review board review.

Outcomes

Outcomes included the mean number of telemetry orders per week, mean duration of telemetry orders, mean duration of telemetry per episode, and the ratio of time on telemetry relative to the total length of stay. As a balancing measure, we examined rates of rapid response and code blue events. All measures were compared for 12 weeks before and 16 weeks after the intervention. Telemetry orders and durations were obtained using the Corporate Data Warehouse.

Analysis

All outcome measurements were continuous variables and compared using the Student t test in Stata version 9.2 (StataCorp, College Station, TX).

RESULTS

Following the intervention, overall order duration decreased by 33% from 66.68.3 hours to 44.52.3 hours per order (P<0.01), mirroring the reduction in the maximum telemetry order duration from 72 to 48 hours (Table 1). However, an increase in telemetry order frequency after the intervention resulted in no significant change in telemetry duration per episode or the proportion of the hospitalization on telemetry (59.3 vs 56.3 hours per patient, P=0.43; and 66.4% vs 66.2% of hospitalization, P=0.58). Rapid response and code blue events did not differ significantly relative to the intervention (2.8 events per week before and 3.1 events per week after, P=0.63).

Telemetry Utilization Before and After the Quality Improvement Intervention
Before Intervention After Intervention P Value
  • NOTE: Abbreviations: NA, not applicable; RRT, rapid response team; SD, standard deviation.

No. of hospitalizations with telemetry ordered 557 684 NA
No. of telemetry orders 952 1515 NA
Average no. of orders per week (SD) 79.3 (9.2) 94.7 (25.9) 0.06
Hours of telemetry per order (SD) 66.6 (8.3) 44.5 (2.3) <0.01
Duration of telemetry per patient, h 59.3 56.3 0.43
% of hospitalizations receiving telemetry per patient 66.4% 66.2% 0.90
RRT/code blue events per week 2.8 3.1 0.63

DISCUSSION

Overall, telemetry utilization was unchanged in spite of an intervention successfully reducing telemetry order duration. Providers responded to this decreased order duration by increasing renewal orders, leaving the amount of time patients spent on telemetry unchanged.

Little primary evidence underlies the American Heart Association recommendations for duration of telemetry in general ward patients.[2] The existing literature documents the timing in which arrhythmias occur after cardiac surgery or myocardial infarction, and therefore is limited in guiding patient care outside intensive care unit settings.[3, 4] As such, hospitalists and inpatient providers have little data directing additional telemetry decisions for these patients, and none for patients requiring telemetry for other indications.

As interventions focusing solely on telemetry duration may not lead to changes in usage patterns, reducing telemetry utilization may require active stewardship. For example, explicit justification may be needed for renewal of telemetry orders. Similarly, education on appropriate telemetry indications in tandem with electronic ordering changes may be more likely to change behavior. Alternatively, incorporating data identifying chest pain patients at very low risk of developing arrhythmias or cardiac complications, based on published risk scores at the time of ordering, may lead to better decision making in initiating telemetry.[5, 6]

This QI project had several limitations. First, the intervention occurred in a facility with a previous telemetry order duration limit. In hospitals without a current duration limitation, some reduction in overall telemetry utilization may be possible. Second, this project was a nonrandom before/after study and potentially subject to bias due to confounding. However, our limited number of telemetry resources, the relatively low number of inpatient teams at our facility, and the inability to target geographic locations for team admissions would have made a cluster‐randomized trial impractical. Third, rationales for telemetry ordering were unknown, as well as drivers for increased orders after the intervention. Better understanding these factors could lead to targeted interventions in some settings.

CONCLUSION

In conclusion, a QI initiative reducing telemetry order duration did not reduce overall telemetry utilization but increased the number of telemetry orders written. Interventions incorporating appropriate telemetry indications or event risks may be required to change ordering behaviors.

Disclosure: Nothing to report.

The Society of Hospital Medicine's Adult Choosing Wisely measures include not ordering continuous telemetry monitoring outside of the ICU [intensive care unit] without using a protocol that governs continuation.[1] Current guidelines for cardiac monitoring use recommend minimum durations for all adult class I and most class II indications.[2] However, telemetry ordering often fails to include timing or criteria for discontinuation. We determined the impact of a reduction in telemetry order duration within our hospital, hypothesizing this reduction would lead to earlier reassessment of telemetry need and therefore decrease overall utilization.

METHODS

Setting

Durham Veterans Affairs Medical Center (DVAMC) is a 151‐bed tertiary care hospital within Veterans Affairs (VA) Integrated Services Network Region 6 (VISN 6) serving as the primary VA hospital for >54,000 patients and a referral hospital for VISN 6. Twenty‐five telemetry units are available for use on 2 wards with 48 potential telemetry beds. All nonintensive care wards contain general medical and surgical patients, without a primary inpatient cardiology service. Most orders are written by housestaff supervised by attending physicians.

Intervention

Prior to our intervention, the maximum allowable duration of telemetry orders was 72 hours. The duration was enforced by nursing staff automatically discontinuing telemetry not renewed within 72 hours. For our intervention, we reduced the duration of telemetry within our electronic ordering system in November 2013 so that orders had to be renewed within 48 hours or they were discontinued. No education regarding appropriate telemetry use was provided. This intervention was created as a quality‐improvement (QI) project affecting all telemetry use within DVAMC and was exempt from institutional review board review.

Outcomes

Outcomes included the mean number of telemetry orders per week, mean duration of telemetry orders, mean duration of telemetry per episode, and the ratio of time on telemetry relative to the total length of stay. As a balancing measure, we examined rates of rapid response and code blue events. All measures were compared for 12 weeks before and 16 weeks after the intervention. Telemetry orders and durations were obtained using the Corporate Data Warehouse.

Analysis

All outcome measurements were continuous variables and compared using the Student t test in Stata version 9.2 (StataCorp, College Station, TX).

RESULTS

Following the intervention, overall order duration decreased by 33% from 66.68.3 hours to 44.52.3 hours per order (P<0.01), mirroring the reduction in the maximum telemetry order duration from 72 to 48 hours (Table 1). However, an increase in telemetry order frequency after the intervention resulted in no significant change in telemetry duration per episode or the proportion of the hospitalization on telemetry (59.3 vs 56.3 hours per patient, P=0.43; and 66.4% vs 66.2% of hospitalization, P=0.58). Rapid response and code blue events did not differ significantly relative to the intervention (2.8 events per week before and 3.1 events per week after, P=0.63).

Telemetry Utilization Before and After the Quality Improvement Intervention
Before Intervention After Intervention P Value
  • NOTE: Abbreviations: NA, not applicable; RRT, rapid response team; SD, standard deviation.

No. of hospitalizations with telemetry ordered 557 684 NA
No. of telemetry orders 952 1515 NA
Average no. of orders per week (SD) 79.3 (9.2) 94.7 (25.9) 0.06
Hours of telemetry per order (SD) 66.6 (8.3) 44.5 (2.3) <0.01
Duration of telemetry per patient, h 59.3 56.3 0.43
% of hospitalizations receiving telemetry per patient 66.4% 66.2% 0.90
RRT/code blue events per week 2.8 3.1 0.63

DISCUSSION

Overall, telemetry utilization was unchanged in spite of an intervention successfully reducing telemetry order duration. Providers responded to this decreased order duration by increasing renewal orders, leaving the amount of time patients spent on telemetry unchanged.

Little primary evidence underlies the American Heart Association recommendations for duration of telemetry in general ward patients.[2] The existing literature documents the timing in which arrhythmias occur after cardiac surgery or myocardial infarction, and therefore is limited in guiding patient care outside intensive care unit settings.[3, 4] As such, hospitalists and inpatient providers have little data directing additional telemetry decisions for these patients, and none for patients requiring telemetry for other indications.

As interventions focusing solely on telemetry duration may not lead to changes in usage patterns, reducing telemetry utilization may require active stewardship. For example, explicit justification may be needed for renewal of telemetry orders. Similarly, education on appropriate telemetry indications in tandem with electronic ordering changes may be more likely to change behavior. Alternatively, incorporating data identifying chest pain patients at very low risk of developing arrhythmias or cardiac complications, based on published risk scores at the time of ordering, may lead to better decision making in initiating telemetry.[5, 6]

This QI project had several limitations. First, the intervention occurred in a facility with a previous telemetry order duration limit. In hospitals without a current duration limitation, some reduction in overall telemetry utilization may be possible. Second, this project was a nonrandom before/after study and potentially subject to bias due to confounding. However, our limited number of telemetry resources, the relatively low number of inpatient teams at our facility, and the inability to target geographic locations for team admissions would have made a cluster‐randomized trial impractical. Third, rationales for telemetry ordering were unknown, as well as drivers for increased orders after the intervention. Better understanding these factors could lead to targeted interventions in some settings.

CONCLUSION

In conclusion, a QI initiative reducing telemetry order duration did not reduce overall telemetry utilization but increased the number of telemetry orders written. Interventions incorporating appropriate telemetry indications or event risks may be required to change ordering behaviors.

Disclosure: Nothing to report.

References
  1. Society of Hospital Medicine. Society of Hospital Medicine–adult hospital medicine: five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/society‐of‐hospital‐medicine‐adult‐hospital‐medicine. Accessed June 4, 2014.
  2. Drew BJ, Califf RM, Funk M, et al. Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young: endorsed by the International Society of Computerized Electrocardiology and the American Association of Critical‐Care Nurses. Circulation. 2004;110(17):27212746.
  3. Creswell LL, Schuessler RB, Rosenbloom M, Cox JL. Hazards of postoperative atrial arrhythmias. Ann Thorac Surg. 1993;56(3):539549.
  4. Newby LK, Hasselblad V, Armstrong PW, et al. Time‐based risk assessment after myocardial infarction. Implications for timing of discharge and applications to medical decision‐making. Eur Heart J. 2003;24(2):182189.
  5. Durairaj L, Reilly B, Das K, et al. Emergency department admissions to inpatient cardiac telemetry beds: a prospective cohort study of risk stratification and outcomes. Am J Med. 2001;110(1):711.
  6. Hollander JE, Sites FD, Pollack CV, Shofer FS. Lack of utility of telemetry monitoring for identification of cardiac death and life‐threatening ventricular dysrhythmias in low‐risk patients with chest pain. Ann Emerg Med. 2004;43(1):7176.
References
  1. Society of Hospital Medicine. Society of Hospital Medicine–adult hospital medicine: five things physicians and patients should question. Available at: http://www.choosingwisely.org/doctor‐patient‐lists/society‐of‐hospital‐medicine‐adult‐hospital‐medicine. Accessed June 4, 2014.
  2. Drew BJ, Califf RM, Funk M, et al. Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young: endorsed by the International Society of Computerized Electrocardiology and the American Association of Critical‐Care Nurses. Circulation. 2004;110(17):27212746.
  3. Creswell LL, Schuessler RB, Rosenbloom M, Cox JL. Hazards of postoperative atrial arrhythmias. Ann Thorac Surg. 1993;56(3):539549.
  4. Newby LK, Hasselblad V, Armstrong PW, et al. Time‐based risk assessment after myocardial infarction. Implications for timing of discharge and applications to medical decision‐making. Eur Heart J. 2003;24(2):182189.
  5. Durairaj L, Reilly B, Das K, et al. Emergency department admissions to inpatient cardiac telemetry beds: a prospective cohort study of risk stratification and outcomes. Am J Med. 2001;110(1):711.
  6. Hollander JE, Sites FD, Pollack CV, Shofer FS. Lack of utility of telemetry monitoring for identification of cardiac death and life‐threatening ventricular dysrhythmias in low‐risk patients with chest pain. Ann Emerg Med. 2004;43(1):7176.
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Journal of Hospital Medicine - 9(12)
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795-796
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Reductions in telemetry order duration do not reduce telemetry utilization
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Address for correspondence and reprint requests: Joel C. Boggan, MD, Hospital Medicine Team (111), VA Medical Center, 508 Fulton St., Durham, NC 27705; Telephone: 919‐286‐6892; Fax: 919‐416‐5938; E‐mail: joel.boggan@duke.edu
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