Determining VA physician requirements through empirically based models.

Abstract:

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. DATA SOURCE/STUDY SETTING:These analyses used selected data on all patient encounters and all facilities in VA's management information systems for FY 1989. STUDY DESIGN: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. DATA COLLECTION/EXTRACTION 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. PRINCIPAL FINDINGS: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.

journal_name

Health Serv Res

journal_title

Health services research

authors

Lipscomb J,Kilpatrick KE,Lee KL,Pieper KS

subject

Has Abstract

pub_date

1995-02-01 00:00:00

pages

697-717

issue

6

eissn

0017-9124

issn

1475-6773

journal_volume

29

pub_type

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