Home Research Research Library Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions 2013 Author(s) Chen, Candice, Petterson, Stephen M, Phillips, Robert L, Mullan, Fitzhugh, Bazemore, Andrew W, and O’Donnell, S D Topic(s) Education & Training, Role of Primary Care, Achieving Health System Goals, and What Family Physicians Do Keyword(s) Cost Of Care, Graduate Medical Education, Imprinting Of Training, and Shortage Areas Volume 88(9):1-14 Source Academic Medicine PURPOSE: Graduate medical education (GME) plays a key role in the U.S. health care workforce, defining its overall size and specialty distribution and influencing physician practice locations. Medicare provides nearly $10 billion annually to support GME and faces growing policy maker interest in creating accountability measures. The purpose of this study was to develop and test candidate GME outcome measures related to physician workforce. METHOD: The authors performed a secondary analysis of data from the American Medical Association Physician Masterfile, National Provider Identifier file, Medicare claims, and National Health Service Corps, measuring the number and percentage of graduates from 2006 to 2008 practicing in high-need specialties and underserved areas aggregated by their U.S. GME program. RESULTS: Average overall primary care production rate was 25.2% for the study period, although this is an overestimate because hospitalists could not be excluded. Of 759 sponsoring institutions, 158 produced no primary care graduates, and 184 produced more than 80%. An average of 37.9% of internal medicine residents were retained in primary care, including hospitalists. Mean general surgery retention was 38.4%. Overall, 4.8% of graduates practiced in rural areas; 198 institutions produced no rural physicians, and 283 institutions produced no Federally Qualified Health Center or Rural Health Clinic physicians. CONCLUSIONS: GME outcomes are measurable for most institutions and training sites. Specialty and geographic locations vary significantly. These findings can inform educators and policy makers during a period of increased calls to align the GME system with national health needs. ABFM Research Read all 2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce 2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis 2024 Addressing Social Determinants of Health in Family Medicine Practices Go to Addressing Social Determinants of Health in Family Medicine Practices
Author(s) Chen, Candice, Petterson, Stephen M, Phillips, Robert L, Mullan, Fitzhugh, Bazemore, Andrew W, and O’Donnell, S D Topic(s) Education & Training, Role of Primary Care, Achieving Health System Goals, and What Family Physicians Do Keyword(s) Cost Of Care, Graduate Medical Education, Imprinting Of Training, and Shortage Areas Volume 88(9):1-14 Source Academic Medicine
ABFM Research Read all 2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce 2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits 2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis 2024 Addressing Social Determinants of Health in Family Medicine Practices Go to Addressing Social Determinants of Health in Family Medicine Practices
2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce
2019 Prevalence and Factors Associated with Family Physicians Providing E-Visits Go to Prevalence and Factors Associated with Family Physicians Providing E-Visits
2025 Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis Go to Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis
2024 Addressing Social Determinants of Health in Family Medicine Practices Go to Addressing Social Determinants of Health in Family Medicine Practices