Quality of the family physician component of AMA Masterfile

P T Williams1, M Whitcomb, J Kessler

  • 1Department of Family Medicine, Ohio State University College of Medicine, Columbus 43210, USA.

Abstract

Insights

The American Medical Association (AMA) Masterfile data for Ohio family physicians in 1990 is sufficiently accurate for state-level workforce projections. Offsetting errors in overcounting and undercounting ensure overall data adequacy for policy studies.

Area of Science:

  • Medical Informatics
  • Health Workforce Analysis
  • Data Validation

Background:

  • Assessing the accuracy of the American Medical Association (AMA) Masterfile is crucial for reliable health workforce data.
  • The AMA Masterfile is a key resource for understanding physician demographics and distribution.

Purpose of the Study:

  • To evaluate the validity of the 1990 American Medical Association (AMA) Masterfile data for allopathic family physicians in Ohio.
  • To determine the accuracy of specialty and geographic location data within the AMA Masterfile.

Main Methods:

  • Compared the AMA Masterfile with the 1990 Ohio Academy of Family Physicians Foundation-Ohio Department of Health (OAFPF-ODH) census to identify discrepancies.
  • Verified physician status, specialty, and location through record review, direct telephone contact, and mailed questionnaires for unverified records.
  • Analyzed discrepancies to understand sources of overcounting and undercounting.

Main Results:

  • Verification confirmed the 1990 specialty and geographic location for 91% of physicians not common to both datasets.
  • Incorrect omissions (undercounts) and incorrect inclusions (overcounts) were found to largely offset each other in the AMA Masterfile.
  • Part-time practice in multiple locations and practice restriction to limited medical content areas were identified as contributors to counting biases.

Conclusions:

  • The 1990 Ohio family physician AMA Masterfile data is adequate for state-level workforce projections and policy studies due to offsetting errors.
  • Further investigation is needed to address overcounting and undercounting biases at smaller geographic or categorical levels.
  • Understanding the specific components of undercounts and overcounts is essential when applying AMA Masterfile data to other regions or populations.

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