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. ABFM Research Read all 2016 Community Vital Signs: Taking the Pulse of the Community While Caring for Patients Go to Community Vital Signs: Taking the Pulse of the Community While Caring for Patients 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
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 2016 Community Vital Signs: Taking the Pulse of the Community While Caring for Patients Go to Community Vital Signs: Taking the Pulse of the Community While Caring for Patients 2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination 2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records 2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone
2016 Community Vital Signs: Taking the Pulse of the Community While Caring for Patients Go to Community Vital Signs: Taking the Pulse of the Community While Caring for Patients
2005 From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination Go to From specialty-based to practice-based: a new blueprint for the American Board of Family Medicine cognitive examination
2024 Impact of response bias in three surveys on primary care providers’ experiences with electronic health records Go to Impact of response bias in three surveys on primary care providers’ experiences with electronic health records
2025 Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone Go to Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone