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
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Home Research Research Library Funding Instability Reduces the Impact of the Federal Teaching Health Center Graduate Medical Education Program The Current State of Research Capacity in US Family Medicine Departments 2019 Author(s) Weidner, Amanda K H, Peterson, Lars E, Mainous, Arch G III, Datta, A, and Ewigman, Bernard Topic(s) Education & Training Keyword(s) Graduate Medical Education Volume Family Medicine Source Family Medicine BACKGROUND AND OBJECTIVES: Capacity for conducting family medicine research has grown significantly since the specialty was founded. Many calls to increase this capacity have been published, but there has been no consistent, systematic, and longitudinal assessment. This survey was designed to gather baseline data with an easily replicable set of measures associated with research productivity that can guide and monitor the impact of efforts to build research capacity in US departments of family medicine (DFMs). METHODS: We surveyed family medicine department chairs regarding departmental research capacity using well-established empirical measures of capacity (trained research faculty, infrastructure, research leadership, and funding) and a self-assessment. We used bivariate analyses to assess correlation between the empirical measures and the self-assessed stage of research capacity. RESULTS: Self-assessed capacity was significantly associated with every empirical measure. High-capacity departments have more research-trained faculty, more faculty effort, utilize more research “laboratories,” have more faculty serving on federal peer-review panels, more faculty as principal investigators, devote more internal funding to research, and garner larger amounts of funding from more external funding sources than moderate or minimal-capacity departments. CONCLUSIONS: US DFMs have made great strides over the past half century in building research capacity. However, much more capacity in family medicine and primary care research is needed to produce new knowledge necessary to improve the health and health care of the nation. Periodic measurement using the simple, replicable, and valid minimum measures of this study provides an opportunity to establish longitudinal tracking of change in research capacity in US DFMs. Read More ABFM Research Read all 2019 Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training Go to Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training 2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2024 US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040 Go to US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040
Author(s) Weidner, Amanda K H, Peterson, Lars E, Mainous, Arch G III, Datta, A, and Ewigman, Bernard Topic(s) Education & Training Keyword(s) Graduate Medical Education Volume Family Medicine Source Family Medicine
ABFM Research Read all 2019 Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training Go to Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training 2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce 2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) 2024 US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040 Go to US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040
2019 Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training Go to Practice Intentions of Family Physicians Trained in Teaching Health Centers: The Value of Community-Based Training
2014 States Can Transform Their Health Care Workforce Go to States Can Transform Their Health Care Workforce
2020 Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE) Go to Integrating Community and Clinical Data to Assess Patient Risks with A Population Health Assessment Engine (PHATE)
2024 US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040 Go to US Primary Care Workforce Growth: A Decade of Limited Progress, and Projected Needs Through 2040