Determining VA physician requirements through empirically based models.
OBJECTIVE
As part of a project to estimate physician requirements for the Department of Veterans Affairs, the Institute of Medicine (IOM) developed and tested empirically based models of physician staffing, by specialty, that could be applied to each VA facility.


METHODS
These analyses used selected data on all patient encounters and all facilities in VA's management information systems for FY 1989.


METHODS
Production functions (PFs), with patient workload dependent on physicians, other providers, and nonpersonnel factors, were estimated for each of 14 patient care areas in a VA medical center. Inverse production functions (IPFs), with physician staffing levels dependent on workload and other factors, were estimated for each of 11 specialty groupings. These models provide complementary approaches to deriving VA physician requirements for patient care and medical education.


METHODS
All data were assembled by VA and put in analyzable SAS data sets containing FY 1989 workload and staffing variables used in the PFs and IPFs. All statistical analyses reported here were conducted by the IOM.


RESULTS
Existing VA data can be used to develop statistically strong, clinically plausible, empirically based models for calculating physician requirements, by specialty. These models can (1) compare current physician staffing in a given setting with systemwide norms and (2) yield estimates of future staffing requirements conditional on future workload.


CONCLUSIONS
Empirically based models can play an important role in determining VA physician staffing requirements. VA should test, evaluate, and revise these models on an ongoing basis.
Sanford Institute of Public Policy, Duke University, Durham, NC 27708-0245.
J
J
Lipscomb
K E
KE
Kilpatrick
K L
KL
Lee
K S
KS
Pieper
D017598:Efficiency, Organizational / Q000592:standards / Q000706:statistics & numerical data; D006301:Health Services Needs and Demand; D006787:Hospitals, Veterans / Q000458:organization & administration / Q000706:statistics & numerical data; D006801:Humans; D008505:Medical Staff, Hospital / Q000592:standards / Q000706:statistics & numerical data / Q000600:supply & distribution*; D017146:Models, Organizational; D009010:Monte Carlo Method; D010561:Personnel Staffing and Scheduling / Q000458:organization & administration / Q000592:standards* / Q000706:statistics & numerical data; D014481:United States; D014493:United States Department of Veterans Affairs; D000078329:Workforce; D016526:Workload / Q000592:standards / Q000706:statistics & numerical data