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The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
The term hospitalist was coined in 1996 in an article1 that appeared in the New England Journal of Medicine. Robert M. Wachter, MD, and Lee Goldman, MD, of the University of California, San Francisco, defined hospitalists as hospital‐based physicians who take responsibility for managing medical inpatients. Hospitalists were described as having responsibility for seeing unassigned hospital patients and being available for in‐hospital consultations. Several years later, the Society of Hospital Medicine posted the definition of a hospitalist as someone whose primary professional focus is the medical care of hospitalized patientsin patient care, education, research, and administrative activities.
In January 2002, Wachter and Goldman published a follow‐up article,2 The Hospitalist Movement 5 Years Later, in the Journal of the American Medical Association. This formal review of 19 published studies analyzed the impact of hospital medicine groups on financial and clinical outcomes. Wachter and Goldman concluded, Empirical research supports the premise that hospitalists improve inpatient efficiency without harmful effects on quality or patient satisfaction. These studies indicate an average reduction of cost per stay of 13.4% and an average reduction in length of stay of 16.6%.
The evolution of the hospitalist movement has been fast paced and extensive. Given the recent pace of growth, a scholarly analysis estimated that the mature hospitalist workforce in the United States will eventually total 20,000, making it the equivalent of the cardiology specialty.3 Beyond sheer growth, medical literature has demonstrated positive effects of the hospitalist model on patient quality outcomes, including readmission rates, postoperative complications, and mortality.47
In addition to peer‐reviewed medical literature, there is anecdotal evidence about the growth and effects of the hospitalist movement:
The Society of Hospital Medicine (SHM), the hospitalist professional society, estimated that in 2003 there were 8000 physicians practicing as hospitalists in the United States.8
Twelve of the country's top 15 hospitals have hospital medicine groups.8
As hospital medicine groups have proliferated, 4 major employment models have evolved. Hospitalists can be employees of: 1) a hospital or a hospital subsidiary; 2) a multispecialty or primary care physician group; 3) a medical group (local or national) of independent hospitalists; or 4) a university or medical school. However, there is little published data on the prevalence of each of these hospitalist employment models, nationally or by type of hospital.
To better understand the extent and nature of the hospitalist movement, the American Hospital Association (AHA) utilized its 2003 Annual Survey to gather data on hospital medicine groups in the United States
DATA AND METHODS
The data for our analysis came from the 2003 AHA Annual Survey. Conducted since 1946, this survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States about the availability of services, utilization, personnel, finances, and governance. Its main purpose is to provide a cross‐sectional view of hospitals and hospital performance over time. In the 2003 survey, a series of items were added about hospitalists including whether hospitals had hospital medicine groups, the number of hospitalists operating in such groups, and the employment model used.
The study population for this analysis was limited to US community hospitals (n = 4895). Community hospitals are defined as all adult and pediatric nonfederal, short‐term general, and specialty hospitals whose facilities and services are available to the public. Excluded from the analysis were all federal hospitals, long‐term care hospitals, and psychiatric hospitals.
Imputation of Missing Data
In the 2003 survey, 77% of the 4895 US community hospitals answered the question on specific use of hospitalists. To get a complete picture of the number of groups and hospitalists, we imputed data for the nonresponding hospitals.
We performed logistic regression analysis of data from the responding hospitals to estimate the number of nonresponding hospitals that had a group and the number of hospitalists in these groups. The dependent variable in the regression was whether a hospital had a group, and the independent variables included hospital characteristics for which data were available for all US hospitals, both survey respondents and nonrespondents. The results of the regression analysis were then applied to the data for each nonresponding hospital to estimate its probability of having a group. These probabilities were summed over the various nonresponding hospitals to estimate the total number of nonresponding hospitals that had groups.
To impute the number of hospitalists in the nonresponding set of hospitals, the additional number of groups was stratified into the 9 US Census Divisions. On the basis of reported data, the average number of hospitalists per group was calculated at the Census Division level. The per‐group value was then applied to the number of additional groups, and the result was added to the total number of reported hospitalists. The Census Division values were then summed to produce the national total. To produce results for all other control groupings, the national total was then apportioned across the categories according to percentage of hospitalists by category on the basis of the reported data.
Analytical Plan
In analyzing the hospitalist movement across the country, we realized there are 2 dimensions of diffusion, which can be characterized as breadth and depth. In the present study:
The measure of breadth is the percentage of hospital medicine groups in a given group of hospitals. In the Results section, this measure is sometimes referred to as penetration.
The measure of depth is the number of hospitalists for each average daily census (ADC) of 100 patients. For instance, for a hospital with an average daily census of 100 that has 4 hospitalists, that measure is 4. To compute this metric for a given category of hospitals (eg, major teaching hospitals), the numerator is the number of hospitalists and the denominator is the ADC at hospitals that have hospital medicine groups. The metric reflects the in‐hospital impact of hospital medicine groups at their hospitals.
Using these 2 measures, it is possible to differentiate between a group of hospitals that has many hospital medicine groups but each group has a minimal impact at the hospital versus a group of hospitals that has few hospital medicine groups but each group has a major impact at the hospital.
The analysis also characterizes the employment status of hospitalists by comparing the proportion of hospitals in each of the employment models by category of hospital.
RESULTS
Diffusion and Impact
Overall, the penetration of hospital medicine groups across the 4895 hospitals in the United States is 29% and the in‐hospital impact at hospitals with hospital medicine groups is 3.93 hospitalists per 100 ADC. The average hospital medicine group has 7.9 hospitalists at a hospital with an ADC of 200.6.
Geographic Categories (Tables 1A and 2A)
The Northeast (46%) and the Pacific (40%) divisions have the greatest penetration of hospital medicine groups. The West North Central Division (16%) has the lowest penetration of hospital medicine groups. Hospital medicine groups in the West South Central Division average 11.1 hospitalists, which partially explains why this region has the greatest in‐hospital impact (6.24 hospitalists per 100 ADC). At the other end of the spectrum are the Middle Atlantic and East South Central divisions with (2.42 and 2.83 hospitalists per 100 ADC, respectively.
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Region | |||
1: Northeast | 203 | 94 | 46% |
2: Mid‐Atlantic | 486 | 172 | 35% |
3: South‐Atlantic | 731 | 272 | 37% |
4: East North Central | 732 | 209 | 29% |
5: East South Central | 427 | 92 | 22% |
6: West North Central | 675 | 106 | 16% |
7: West South Central | 737 | 164 | 22% |
8: Mountain | 348 | 83 | 24% |
9: Pacific | 556 | 223 | 40% |
Rural/urban | |||
Rural | 2166 | 235 | 11% |
Small urban | 1285 | 488 | 38% |
Large urban | 1444 | 692 | 48% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Region | ||||
1: Northeast | 94 | 669 | 7.1 | 3.62 |
2: Mid‐Atlantic | 172 | 1133 | 6.6 | 2.42 |
3: South Atlantic | 272 | 1933 | 7.1 | 3.21 |
4: East North Central | 209 | 2087 | 10.0 | 4.65 |
5: East South Central | 92 | 433 | 4.7 | 2.83 |
6: West North Central | 106 | 887 | 8.4 | 4.37 |
7: West South Central | 164 | 1828 | 11.1 | 6.24 |
8: Mountain | 83 | 644 | 7.8 | 4.43 |
9: Pacific | 223 | 1546 | 6.9 | 4.56 |
Rural/urban | ||||
Rural | 235 | 893 | 3.8 | 4.85 |
Small urban | 488 | 3236 | 6.6 | 3.03 |
Large urban | 692 | 7030 | 10.2 | 4.43 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
There are more hospital medicine groups in urban locations. The penetration of hospital medicine groups is 48% at hospitals in large metropolitan locations (ie, with a population of more than 1 million), 38% at hospitals in small metropolitan locations, and 11% at hospitals in rural areas. However, rural hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC), explained by an average group size of 3.8 and an average ADC of 78.4.
Hospital Size, Control/Ownership, and Teaching Status (Tables 1B and 2B)
The penetration of hospital medicine groups increases as the size of the hospital increases. Six percent of hospitals with 6‐24 beds have groups, whereas 71% of hospitals with 500+ beds have groups. Among hospitals with 200 or more beds, 55% have hospital medicine groups compared to 19% of hospitals with fewer than 200 beds. As would be expected, larger hospitals have larger hospital medicine groups: hospitals with 6‐24 beds average 2.1 hospitalists, whereas hospitals with 500+ beds average 14.2 hospitalists. However, hospitalists have a proportionately greater impact at smaller hospitals. Their greatest impact is at hospitals with 6‐24 beds (46.34 hospitalists per 100 ADC); their smallest impact is at hospitals with 500+ beds (2.47 hospitalists per 100 ADC).
Category | Hospitals | Hospital medicine groups | Hospitals with hospital medicine groups (%) |
---|---|---|---|
| |||
Size | |||
6‐24 beds | 327 | 18 | 6% |
25‐49 beds | 965 | 88 | 9% |
50‐99 beds | 1031 | 168 | 16% |
100‐199 beds | 1168 | 372 | 32% |
200‐299 beds | 624 | 287 | 46% |
300‐399 beds | 349 | 183 | 52% |
400‐499 beds | 172 | 116 | 67% |
500+ beds | 259 | 183 | 71% |
Control | |||
Government | 1121 | 161 | 14% |
Not for profit | 2984 | 1032 | 35% |
For profit | 790 | 222 | 28% |
Teaching status | |||
Nonteaching | 3800 | 823 | 22% |
Other teaching | 779 | 382 | 49% |
Major teaching | 316 | 210 | 66% |
Total | 4895 | 1415 | 29% |
Category | Groups (hospitals) | Hospitalists | Hospitalists per group | Hospitalists per 100 census |
---|---|---|---|---|
| ||||
Size | ||||
6‐24 beds | 18 | 38 | 2.1 | 46.34 |
25‐49 beds | 88 | 260 | 3.0 | 17.94 |
50‐99 beds | 168 | 885 | 5.3 | 12.75 |
100‐199 beds | 372 | 1757 | 4.7 | 5.29 |
200‐299 beds | 287 | 2308 | 8.0 | 4.72 |
300‐399 beds | 183 | 1,553 | 8.5 | 3.29 |
400‐499 beds | 116 | 1751 | 15.1 | 4.35 |
500+ beds | 183 | 2,607 | 14.2 | 2.47 |
Control | ||||
Government | 161 | 1,674 | 10.4 | 5.85 |
Not for profit | 1032 | 8,481 | 8.2 | 3.64 |
For profit | 222 | 1,004 | 4.5 | 4.47 |
Teaching Status | ||||
Nonteaching | 823 | 4,910 | 6.0 | 4.85 |
Other teaching | 382 | 2,678 | 7.0 | 3.25 |
Major teaching | 210 | 3,571 | 17.0 | 3.57 |
Total | 1415 | 11 159 | 7.9 | 3.93 |
Of the 3 categories of control, government groups have the lowest penetration of hospital medicine groups (14%). However, the hospital medicine groups at these government‐controlled hospitals are large (10.4 hospitalists), and they have a significant in‐hospital impact on care at these hospitals (5.85 hospitalists per 100 ADC). Not‐for‐profit hospitals have the highest penetration of hospital medicine groups (35%), whereas hospital medicine groups at for‐profit hospitals have the lowest average size (4.5 hospitalists).
There appears to be a relationship between teaching status and the likelihood that a hospital has a hospital medicine group. The penetration of hospital medicine groups is 66% at major teaching hospitals, 49% at other teaching hospitals, and 22% at nonteaching hospitals. However, nonteaching hospitals have a relatively high in‐hospital impact (4.85 hospitalists per 100 ADC). This is explained by their having an average group size of 6.0, but an average ADC of only 123.0 (compared to 477.0 for major teaching hospitals and 215.7 for other teaching hospitals).
Employment Models
The results of the analysis of hospitalist employment models (data not shown) can be summarized as follows:
Employees of hospitals: This employment model averaged 33% of all groups, with an average size of 9.8 hospitalists. The employees of hospital model was more prevalent in the Mid‐Atlantic (56%), New England (49%), and West North Central (45%) regions and in rural hospitals (45%). The East South Central (16%) and West South Central (12%) regions and for‐profit hospitals (20%) had fewer hospital employee groups.
Employees of medical groups: This employment model averaged 29% of all groups, with an average of 7.4 hospitalists. More hospitals in the East South Central (35%) and New England (34%) regions had this employment model. Fewer hospitals in the Mid‐Atlantic (18%) and West North Central (18%) regions and rural (18%) hospitals had medical group‐based groups.
Employees of independent hospitalist groups: This employment group averaged 25% of all groups and had the smallest mean number of hospitalists (6.9). This employment model was more prevalent in for‐profit hospitals (43%) and was less prevalent in the New England (9%) and Mid‐Atlantic (11%) regions and in major teaching hospitals (11%) and government hospitals (19%).
CONCLUSIONS
Hospital medicine groups appear to have become part of the mainstream delivery of health care. With more than 11 000 hospitalists, the specialty is equivalent in size to the gastroenterology medical specialty.9 Fifty‐five percent of hospitals with more than 200 beds have hospital medicine groups. Furthermore, it appears that the growth of the hospitalist movement has not peaked. It is likely that the number of hospitals with hospital medicine groups will increase and that existing hospital medicine groups will continue to add hospitalists.
No one employment model of hospital medicine group appears to dominate the health care landscape. We expect that there will continue to be diversity among the organizations that choose to establish hospital medicine groups.
In light of this growth and diversity, hospital medicine groups appear to be valued by a wide range of stakeholders in the health care industry. The potential benefits provided by hospitalists include financial savings, improved throughput efficiency, improved quality and safety, improved medical education, and better provider satisfaction.
Despite this success story, the hospitalist movement has maintained a relatively low profile among consumers and some segments of the health care industry. This is likely to change. As the hospital medicine specialty gains recognition, hospitalists will receive increased scrutiny and attention. This emerging specialty will need to be able to clearly define its role and document its performance in the constantly changing health care industry.
ADDENDUM
Subsequent to the acceptance of this manuscript, the authors received results of the 2004 Annual Survey of the American Hospital Association. Some highlights of the new data and comparisons to the 2003 results are as follows:
The penetration of hospitals with hospital medicine groups grew from 29% to 34% (for hospitals with 200+ beds, the penetration grew from 55% to 63%)
An estimated 1,661 hospitals have hospital medicine groups (an increase of 17% from 2003)
The average size of a hospital medicine group decreased from 7.9 physicians to 7.5 physicians (a decrease of 5%)
It is estimated that there are 12,504 hospitalists in the U.S. (an increase of 12% from 2003)
Hospital medicine groups remain equally distributed among the three employment models: employees of hospitals 30%, employees of medical groups 29%, employees of independent hospitalist groups 29%
These updated results indicate strong hospitalist growth over the one year period and continued diversity among hospital medicine programs, reinforcing the conclusions of the manuscript.
APPENDIX
AHA Annual Survey Overview
Conducted since 1946, the AHA Annual Survey is the principal data collection mechanism of the American Hospital Association and is a basic source of data on hospitals in the United States. Its main purpose is to provide a cross‐sectional view of the hospital field each year and to make it possible to monitor hospital performance over time. The information that it gathers from a universe of approximately 5700 hospitals concerns primarily the availability of services, utilization, personnel, finances, and governance. Newly added to the 2003 survey were the following questions regarding hospitalists: Do hospitalists provide care for patients in your hospital? YES □ NO □
Hospitalist is defined as a physician whose primary professional focus is the care of hospitalized medical patients (through clinical, education, administrative and research activity).
If yes, please report the number of full time and part time hospitalists?
Full‐time ______
Part‐time ______
Full‐time equivalent (FTE) is the total number of hours worked by all employees over the full (12 month) reporting period divided by the normal number of hours worked by a full‐time employee for that same period. For example, if your hospital considers a normal workweek for a full‐time employee to be 40 hours, a total of 2080 hours would be worked over a full year (52 weeks). If the total number of hours worked by all employees on the payroll is 208 000, then the number of FTEs is 100 (employees). The FTE calculation for a specific occupational category such as registered nurses is exactly the same. The calculation for each occupational category should be based on the number of hours worked by staff employed in that specific category.
If yes, please select the category below that best describes the employment model for your hospitalists:
□ Independent provider group
□ Employed by your hospital
□ Employed by a physician group
□ Employed by a university or school program
□ Other
It is the results from these questions that are the subject of this analysis and the manuscript.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
- The emerging role of “hospitalists” in the American health care system.N Eng J Med.1996;335:514–517. , .
- The hospitalist movement 5 years later.JAMA.2002;287:487–494. , .
- The potential size of the hospitalist workforce in the United StatesAm J Med.1999;106:441–445. , , , , .
- Implementation of a hospitalist service at a community hospital: evolution of service utilization, costs, and patient outcomes [abstract]. National Association of Inpatient Physicians, 3rd Annual Meeting. Philadelphia, Penn, April 11‐12,2000. .
- Decreased length of stay, costs, and mortality in a randomized trial of academic hospitalists [abstract]. National Association of Inpatient Physicians, 4th Annual Meeting, Atlanta, GA, March 27‐28,2001. , , , , , .
- The effect of full‐time faculty hospitalists on the efficiency of care at a community teaching hospital.Ann Intern Med.1998;129:197–203. , .
- Program description: a hospitalist run, medical short‐stay unit in a teaching hospital.CMAJ.2000;163:1477–1480. , , , .
- Society of Hospital Medicine. Growth of hospital medicine nationwide. July 2003. Available at: http://www.hospitalmedicine.org/presentation/apps/indlist/intro.asp?flag=18. Accessed February2005.
- American Medical Association.Physician characteristics and distribution in the US, 2004.Chicago, Ill:American Medical Association,2004.
Copyright © 2006 Society of Hospital Medicine