research Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination Read Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
Phoenix Newsletter - March 2025 President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty Read President’s Message: ABFM’s Unwavering Commitment to Diplomates and the Specialty
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Home Research Research Library Licensure versus certification General Practitioners in US Medical Practice Compared With Family Physicians 2020 Author(s) Phillips, William R, Dai, Mingliang, Frey, John J III, and Peterson, Lars E Topic(s) Family Medicine Certification, Role of Primary Care, and What Family Physicians Do Keyword(s) Practice Organization / Ownership, and Visiting Scholar/Fellow Volume Annals of Family Medicine Source Annals of Family Medicine PURPOSE General practitioners (GPs) are part of the US physician workforce, but little is known about who they are, what they do, and how they differ from family physicians (FPs). We describe self-identified GPs and compare them with board-certified FPs. METHODS Analysis of data on 102,604 Doctor of Medicine and Doctor of Osteopathy physicians in direct patient care in the United States in 2016, who identify themselves as GPs or FPs. The study used linking databases (American Medical Association Masterfile, American Board of Family Medicine [ABFM], Area Health Resource File, Medicare Public Use File) to examine personal, professional, and practice characteristics. RESULTS Of the physicians identified, 6,661 self-designated as GPs and 95,943 self-designated as FPs. Of the self-designated GPs, 116 had been ABFM certified and were excluded from the study. Of the remaining 102,488 physicians, those who self-designated as GPs but were never ABFM certified constituted the GP group (n = 6,545, 6%). Self-designated FPs that were ABFM certified made up the FP group (n = 79,449, 78%). The remaining self-designated FPs not ABFM certified constituted the uncertified group (n = 16,494, 16%). GPs differed from FPs in every characteristic examined. Compared with FPs, GPs are more likely to be older, male, Doctors of Osteopathy, graduates of non-US medical schools, and have no family medicine residency training. GPs practice location is similar to FPs, but GPs are less likely to participate in Medicare or to work in hospitals. CONCLUSIONS GPs in the United States are a varied group that differ from FPs. Researchers, educators, and policy makers should not lump GPs together with FPs in data collection, analysis, and reporting. Read More ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2019 Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016) Go to Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016) 2013 Family physician participation in quality improvement Go to Family physician participation in quality improvement 2021 Life in Private Practice Go to Life in Private Practice
Author(s) Phillips, William R, Dai, Mingliang, Frey, John J III, and Peterson, Lars E Topic(s) Family Medicine Certification, Role of Primary Care, and What Family Physicians Do Keyword(s) Practice Organization / Ownership, and Visiting Scholar/Fellow Volume Annals of Family Medicine Source Annals of Family Medicine
ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2019 Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016) Go to Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016) 2013 Family physician participation in quality improvement Go to Family physician participation in quality improvement 2021 Life in Private Practice Go to Life in Private Practice
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
2019 Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016) Go to Physician Opinions about American Board of Family Medicine Self-Assessment Modules (2006–2016)
2013 Family physician participation in quality improvement Go to Family physician participation in quality improvement