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
post 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
post “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 Addressing Social Determinants of Health in Family Medicine Practices Addressing Social Determinants of Health in Family Medicine Practices 2024 Author(s) Sand, Jessica, Morgan, Zachary J, and Peterson, Lars E Topic(s) Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction) Volume Population Health Management Source Population Health Management Primary care practices are under pressure to address patients’ social determinants of health (SDOH). However, the extent to which these practices have this ability remains unknown. The objective of this study was to examine the association between physician, practice, and community characteristics and the ability of family medicine practices to address patients’ SDOH. This cross-sectional study used data from the American Board of Family Medicine Continuing Certification Questionnaire from 2017 to 2019, with a 100% response rate. Respondents rated their practice’s ability to address SDOH, which was dichotomized as high or low. Sequential multivariate logistic regression determined the association of the reported ability to address SDOH with physician, practice, and community characteristics. Among 19,300 respondents, 55.6% reported a high ability to address patients’ SDOH. Across models controlling for different groups of variables, characteristics persistently positively associated with ability to address SDOH included employment at a federally qualified health center (Odds Ratios [OR] = 2.111-3.012), federally funded clinic (OR = 1.999-2.897), managed care organization (OR = 2.038-2.303), and working collaboratively with a social worker (OR = 2.000-2.523) or care coordinator (OR = 1.482-1.681). Characteristics persistently negatively associated with the ability to address SDOH were practicing at an independently owned (OR = 0.726-0.812) or small practice (OR = 0.512-0.863). While results varied across models, these findings are important for developing evidence-based policies and recommendations for resource sharing and allocation in clinics and communities. Ensuring availability and access to allied health professionals and community resources may be key components in Family Medicine clinics addressing SDOH. Read More ABFM Research Read all 2021 Family Physician Burnout Does Not Differ With Rurality Go to Family Physician Burnout Does Not Differ With Rurality 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 2015 ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry Go to ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry 2023 Interoperability among hospitals treating populations that have been marginalized Go to Interoperability among hospitals treating populations that have been marginalized
Author(s) Sand, Jessica, Morgan, Zachary J, and Peterson, Lars E Topic(s) Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction) Volume Population Health Management Source Population Health Management
ABFM Research Read all 2021 Family Physician Burnout Does Not Differ With Rurality Go to Family Physician Burnout Does Not Differ With Rurality 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 2015 ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry Go to ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry 2023 Interoperability among hospitals treating populations that have been marginalized Go to Interoperability among hospitals treating populations that have been marginalized
2021 Family Physician Burnout Does Not Differ With Rurality Go to Family Physician Burnout Does Not Differ With Rurality
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
2015 ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry Go to ABFM to Simplify Maintenance of Certification (MOC) for Family Physicians and Make It More Meaningful: A Family Medicine Registry
2023 Interoperability among hospitals treating populations that have been marginalized Go to Interoperability among hospitals treating populations that have been marginalized