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
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Home Research Research Library Academic Achievement, Professionalism, and Burnout in Family Medicine Residents Academic Achievement, Professionalism, and Burnout in Family Medicine Residents 2021 Author(s) Davis, Caitlin S, Krishnasamy, Meenu, Morgan, Zachary J, Bazemore, Andrew W, and Peterson, Lars E Topic(s) Education & Training, Family Medicine Certification, and Achieving Health System Goals Keyword(s) Cognitive Expertise, Graduate Medical Education, In-Training Examination, Initial Certification Questionnaire, Physician Experience (Burnout / Satisfaction), Professionalism, and Visiting Scholar/Fellow Volume Family Medicine Source Family Medicine Background and Objectives: Physician burnout has been shown to have roots in training environments. Whether burnout in residency is associated with the attainment of critical educational milestones has not been studied, and is the subject of this investigation. Methods: We used data from a cohort of graduating family medicine residents registering for the 2019 American Board of Family Medicine initial certification examination with complete data from registration questionnaire, milestone data, in-training examination (ITE) scores, and residency characteristics. We used bivariate and multilevel multivariate analyses to measure the associations between four professionalism milestones ratings and ITE performance with burnout. Results: Our sample included 2,509 residents; 36.8% met the criteria for burnout. Multilevel regression modeling showed a correlation between burnout and failure to meet only one of four professionalism milestones, specifically professional conduct and accountability (OR 1.41, 95% CI 1.07-1.87), while no statistically significant relationship was demonstrated between burnout and being in the lowest quartile of ITE scores. Other factors negatively associated with burnout included international medical education (OR 0.60, 95% CI 0.48-0.76) and higher salary compared to cost of housing (OR 0.62, 95% CI 0.46-0.82). Conclusions: We found significant association between self-reported burnout and failing to meet expectations for professional conduct and accountability, but no relationship between burnout and medical knowledge as measured by lower ITE performance. Further investigation of how this impacts downstream conduct and accountability behaviors is needed, but educators can use this information to examine program-level interventions that can specifically address burnout and development of physician professionalism. Read More ABFM Research Read all 2013 A Closer Look at Recertification Candidate Pass Rates Go to A Closer Look at Recertification Candidate Pass Rates 2024 Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications Go to Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications 1980 Family practice Go to Family practice 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
Author(s) Davis, Caitlin S, Krishnasamy, Meenu, Morgan, Zachary J, Bazemore, Andrew W, and Peterson, Lars E Topic(s) Education & Training, Family Medicine Certification, and Achieving Health System Goals Keyword(s) Cognitive Expertise, Graduate Medical Education, In-Training Examination, Initial Certification Questionnaire, Physician Experience (Burnout / Satisfaction), Professionalism, and Visiting Scholar/Fellow Volume Family Medicine Source Family Medicine
ABFM Research Read all 2013 A Closer Look at Recertification Candidate Pass Rates Go to A Closer Look at Recertification Candidate Pass Rates 2024 Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications Go to Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications 1980 Family practice Go to Family practice 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
2013 A Closer Look at Recertification Candidate Pass Rates Go to A Closer Look at Recertification Candidate Pass Rates
2024 Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications Go to Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications
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