Impact of physician assistant care on office visit resource use in the United States

Published: July 28, 2008
Category: Bibliography > Papers
Authors: Albanese MA, Kaufman JS, Morgan PA, Shah ND
Countries: United States
Language: null
Types: Care Management
Settings: Hospital

Health Serv Res 43:1906-1922.

Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA

OBJECTIVE: To investigate whether the use of physician assistants (PAs) as providers for a substantive portion of a patient’s office-based visits affects office visit resource use.

DATA SOURCE: Medical Expenditure Panel Survey (MEPS) Household Component data from 1996 to 2004.

STUDY DESIGN: This retrospective cohort study compares the number of office-based visits per year between adults for whom PAs provided >or=30 percent of visits and adults cared for by physicians only.

DATA COLLECTION/EXTRACTION METHODS: The Agency for Healthcare Research and Quality collects MEPS data using methods designed to produce data representative of the U.S. noninstitutionalized civilian population. Negative binomial regression was used to compare the number of visits per year between persons with and without PA care, adjusted for demographic, geographic, and socioeconomic factors; insurance status; health status; and medical conditions.

PRINCIPAL FINDINGS: After case-mix adjustment, patients for whom PAs provided a substantive portion of care used about 16 percent fewer office-based visits per year than patients cared for by physicians only. This difference in the use of office-based visits was not offset by increased office visit resource use in other settings.

CONCLUSIONS: Results indicate that the inclusion of PAs in the U.S. provider mix does not affect overall office visit resource use.

PMID: 18665857
PMCID: PMC2654167

Resource Use,Practice Patterns Comparison,Medical Conditions,United States,Acute Disease/epidemiology,Adult,Chronic Disease/epidemiology,Cohort Studies,Diagnosis-Related Groups/classification,Episode of Care,Family Characteristics,Gender,Health Expenditures/statistics & numerical data,Health Services Research,Incidence,Gender,Medicine/statistics & numerical data,Middle Aged,Physicians/classification,Risk Adjustment,United States/epidemiology

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