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
Diplomate Spotlight “Family Medicine Was All I Ever Wanted to Do” Dr. Phillip Wagner Read “Family Medicine Was All I Ever Wanted to Do”
Home Research Research Library Family Physician Burnout Does Not Differ With Rurality Family Physician Burnout Does Not Differ With Rurality 2021 Author(s) Ward, Zachary D, Morgan, Zachary J, and Peterson, Lars E Topic(s) Achieving Health System Goals Keyword(s) Visiting Scholar/Fellow Volume Journal of Rural Health Source Journal of Rural Health PURPOSE: Burnout affects about half of family physicians (FPs). Minimal research exists which examines the impact of urban and rural practice settings on FP burnout. In this study, we examined whether rural practice is associated with FP burnout. METHODS: Data from the 2017 and 2018 American Board of Family Medicine Family Medicine Certification examination registration questionnaire were used. We limited our sample to FPs in continuity care in the United States. The questionnaire is a mandatory component of registration, resulting in a 100% response rate. Burnout was measured via 2 questions validated against the Maslach Burnout Inventory. We used logistic regression to determine associations between burnout and rural location, controlling for practice and personal characteristics. FINDINGS: Of the FPs surveyed, 2,740 met our inclusion criteria. Rural FPs were older, more likely to be male, and had a broader scope of practice than urban FPs. Rural FPs had a nonsignificantly higher burnout rate than urban FPs (45.1% vs 43.0%). Burnout was more common in younger and female FPs. We found no rural/urban differences between job satisfaction, practice environment, workload, and job stress; however, all of these characteristics were associated with burnout. In adjusted analyses, rural location was not associated with burnout (odds ratio = 1.15, 95% CI: 0.87-1.52). CONCLUSION: In a large national sample, we found no difference in burnout between rural and urban FPs. This suggests there is nothing unique about rural practice that predisposes to burnout and that a common pathway to reduce burnout may exist. Read More ABFM Research Read all 2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2020 Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices. Go to Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices. 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 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) Ward, Zachary D, Morgan, Zachary J, and Peterson, Lars E Topic(s) Achieving Health System Goals Keyword(s) Visiting Scholar/Fellow Volume Journal of Rural Health Source Journal of Rural Health
ABFM Research Read all 2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants 2020 Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices. Go to Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices. 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 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
2020 Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants Go to Well‐Being in the Nation: A Living Library of Measures to Drive Multi‐Sector Population Health Improvement and Address Social Determinants
2020 Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices. Go to Meaningful Use And Medical Home Functionality In Primary Care Practice: Study examines the implementation of patient-centered medical home model and the adoption and meaningful use of health information technology in US physician practices.
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
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