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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.
Background:
This investigation was undertaken to gain insight into the validity of the American Medical Association (AMA) Masterfile data.
Methods:
Allopathic family physicians were chosen as the study population Omissions were picked up from by comparing the AMA list with the 1990 Ohio Academy of Family Physicians Foundation-Ohio Department of Health (OAFPF-ODH) census. Verification of the 1990 specialty and geographic location of allopathic family physicians not common to both files was achieved by sequentially (1) reviewing the AMA names against 1990 deletions from the 1985 OAFPF-ODH census, (2) contacting physicians directly by telephone, (3) verifying 1990 physician status with county medical personnel, and (4) mailing a brief questionnaire to each physician whose 1990 status remained unverified.
Results:
The status of specialty and geographic location in 1990 was verified in 91 percent of names not common to both lists. Incorrect omissions (undercounts) and incorrect inclusions (overcounts) offset each other for both lists. Two groups of family physicians contribute to counting biases: family physicians who fulfill short-term goals by part-time practice in several locations, and family physicians who restrict their practice to a limited medical content area.
Conclusions:
Because of nearly equal offsetting of overcounting (incorrect inclusions) and under counting (incorrect omissions), the 1990 Ohio family physician AMA Masterfile data is adequate for work-force projections and policy studies when the county data are aggregated at the state level. The overcounting and undercounting for smaller areas or categories must still be studied, however. Application of the AMA Masterfile data of other geographic areas requires a knowledge of the components of undercounts and overcounts of the population being studied.
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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