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Developing Physician Migration Estimates for Workforce Models.

George M Holmes1, Erin P Fraher2

  • 1Department of Health Policy and Management, Gillings School of Global Public Health and the Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Health Services Research
|January 28, 2017
PubMed
Summary
This summary is machine-generated.

Physician migration patterns vary significantly by medical specialty and residency status, influenced by geographic proximity and specialty utilization. Understanding these factors is crucial for accurate healthcare workforce modeling and policy simulation.

Keywords:
Workforceconditional logitphysician migrationsimulation

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Area of Science:

  • Health Services Research
  • Medical Workforce Studies
  • Geographic Epidemiology

Background:

  • Physician migration is a critical factor influencing healthcare access and delivery.
  • Understanding the heterogeneity in physician location decisions across specialties is essential for effective workforce planning.
  • Previous studies have often aggregated physician data, potentially masking specialty-specific migration trends.

Purpose of the Study:

  • To investigate the factors that contribute to differences in physician migration patterns among various medical specialties.
  • To identify key predictors of physician relocation, considering both individual and area-specific characteristics.
  • To assess the heterogeneity in physician responsiveness to potential policy interventions affecting migration.

Main Methods:

  • Utilized American Medical Association Masterfile data from 2009 and 2013, matching physicians across these years.
  • Geocoded physician office locations to 293 distinct geographic areas nationwide.
  • Employed a two-part conditional logit model to analyze physician location decisions, with separate analyses for each specialty and residency status.

Main Results:

  • Significant heterogeneity was observed in physician migration patterns, varying by specialty and whether the physician was a resident in 2009.
  • Physician migration was positively associated with geographic proximity between states and higher specialty-specific utilization rates.
  • Responsiveness to factors influencing migration differed substantially across specialties, highlighting the need for specialty-specific approaches.

Conclusions:

  • The findings underscore the importance of considering specialty-specific dynamics in physician migration for accurate healthcare workforce modeling.
  • Developed models can provide more precise estimates of migration patterns, enabling better simulations of policy impacts.
  • This research supports the development of targeted policies to address physician distribution challenges in specific specialties and regions.