Phoenix Newsletter - October 2025 President’s Message: Enduring Commitments in a Time of Change Read President’s Message: Enduring Commitments in a Time of Change
Home Research Research Library Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician Slow Progress and Persistent Challenges for the Underrepresented Minority Family Physician 2018 Author(s) Campbell, Kendall M Topic(s) Education & Training, and Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction), and Policy Brief Commentaries Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine In the article, “Board certified family physician workforce: progress in racial and ethnic diversity,” the authors review the racial and ethnic background of physicians to document proportional growth over time as compared with 2017 United States Census data. In their analysis, they aggregated data provided by family medicine physicians at the time of application for their American Board of Family Medicine (ABFM) certification examination. The years evaluated were from 2013 to 2017, and that timespan yielded a match of 66,542 board certified family physicians for the study. Results showed that the growth of the number of board certified family medicine black and Hispanic or Latino physicians lags behind other groups, as well as census defined numbers, 7.8% versus 13.3% for black physicians and 9.1% versus 17.8% for Hispanic or Latino physicians.1 Parity was seen with white physicians (61.2% vs 61.3%), and Asian physicians (21.8% vs 5.7%) were overrepresented as compared with their representation in the US population. Even though there has been an overall increase in physician numbers over the past 30 years, the numbers of black and Hispanic or Latino physicians has not kept the pace. ABFM Research Read all 1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination 2019 A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships Go to A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships 2018 Burnout and Scope of Practice in New Family Physicians Go to Burnout and Scope of Practice in New Family Physicians 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
Author(s) Campbell, Kendall M Topic(s) Education & Training, and Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction), and Policy Brief Commentaries Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination 2019 A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships Go to A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships 2018 Burnout and Scope of Practice in New Family Physicians Go to Burnout and Scope of Practice in New Family Physicians 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
1990 Predictive validity of the American Board of Family Practice In-Training Examination Go to Predictive validity of the American Board of Family Practice In-Training Examination
2019 A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships Go to A Qualitative Study of Trainee Experiences in Family Medicine‐Obstetrics Fellowships
2018 Burnout and Scope of Practice in New Family Physicians Go to Burnout and Scope of Practice in New Family Physicians
2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care