A Methodology for Using Workforce Data to Decide Which Specialties and States to Target for Graduate Medical Education Expansion.

ABSTRACT:

Objective

To outline a methodology for allocating graduate medical education (GME) training positions based on data from a workforce projection model.

Data sources

Demand for visits is derived from the Medical Expenditure Panel Survey and Census data. Physician supply, retirements, and geographic mobility are estimated using concatenated AMA Masterfiles and ABMS certification data. The number and specialization behaviors of residents are derived from the AAMC's GMETrack survey.

Design

We show how the methodology could be used to allocate 3,000 new GME slots over 5 years-15,000 total positions-by state and specialty to address workforce shortages in 2026.

Extraction methods

We use the model to identify shortages for 19 types of health care services provided by 3

SUBMITTER: Fraher EP 

PROVIDER: S-EPMC5269545 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature