Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
Phoenix Newsletter - July 2025 Available Now: 2026 5-Year Cycle Registration Read Available Now: 2026 5-Year Cycle Registration
Home Research Research Library Building a Sustainable Primary Care Workforce: Where Do We Go from Here? Building a Sustainable Primary Care Workforce: Where Do We Go from Here? 2017 Author(s) Linzer, M, and Poplau, S Topic(s) 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 The article by Puffer et al in this month’s JABFM confirms a high burnout rate (25%) among family physicians renewing their credentials, with a higher rate among young and female doctors. Recent reports confirm high burnout rates among general internists. Thus, mechanisms to monitor and improve worklife in primary care are urgently needed. We describe the Mini Z (for “zero burnout program”) measure, designed for these purposes, and suggest interventions that might improve satisfaction and sustainability in primary care, including longer visits, clinician control of work schedules, scribe support for electronic medical record work, team-based care, and an explicit emphasis on work-home balance. Read More ABFM Research Read all 2013 Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions Go to Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions 2025 Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019 Go to Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health
Author(s) Linzer, M, and Poplau, S Topic(s) 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 2013 Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions Go to Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions 2025 Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019 Go to Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019 2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models 2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health
2013 Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions Go to Toward Graduate Medical Education (GME) Accountability: Measuring the Outcomes of GME Institutions
2025 Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019 Go to Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011–2019
2023 A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models Go to A Comparative Effectiveness Study on Opioid Use Disorder Prediction Using Artificial Intelligence and Existing Risk Models
2022 Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health Go to Primary Care: The Actual Intelligence Required for Artificial Intelligence to Advance Health Care and Improve Health
