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
Beyond the Clinic Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals Read Family Medicine on a Mission Part 1: How Air Force Physicians Achieve Humanitarian Goals
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
Home Research Research Library Improving quality of care and guideline adherence for asthma through a group self-assessment module Improving quality of care and guideline adherence for asthma through a group self-assessment module 2014 Author(s) Elward, Kurtis S, Blackburn, Brenna E, Peterson, Lars E, Greenawald, M, and Hagen, Michael D Topic(s) Family Medicine Certification Keyword(s) Self-Assessment And Lifelong Learning Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine Background: The quality of care for asthma remains suboptimal. Compliance with guidelines remains low, but improved adherence to guidelines may increase the quality of care. but. We conducted a trial to determine whether group Self-Assessment Module (SAM) activities led by a facilitator and conducted as part of Maintenance of Certification for Family Physicians (MC-FP) would increase knowledge of and adherence to asthma guidelines. Methods: Participating physicians completed audits of the charts of patients with asthma before and 6 months after a group SAM. Surveys of physicians’ knowledge of asthma guidelines were administered immediately before, immediately after, and 6 months after the group SAM. We tested for differences in knowledge of and adherence to guidelines before and after the SAM using χ(2) and t tests. Results: Thirty-eight physicians in Virginia completed the SAM and had complete data. Participants completed more MC-FP activities than other physicians but were comparable in other characteristics. Except for prescribing controller medications for persistent asthma, all other quality measures significantly improved 6 months after the group SAM. Diagnosis by severity improved from 48.3% to 80.2%, and the use of action plans increased from 8.1% to 54.1%. Physicians’ knowledge of guidelines improved immediately after the SAM and was sustained at 6 months. Increased knowledge translated into clinical skills: 30% of participants reported comfort with assessing control after the SAM, which increased to 97.5% 6 months after the SAM. Conclusions: Group SAMs may be an effective method to increase physicians’ knowledge of and adherence to clinical guidelines. Read More ABFM Research Read all 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 2017 Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016 Go to Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016 2018 Predictors of Attrition From Family Medicine Board Certification Go to Predictors of Attrition From Family Medicine Board Certification 2020 The Built Environment for Professionalism. Go to The Built Environment for Professionalism.
Author(s) Elward, Kurtis S, Blackburn, Brenna E, Peterson, Lars E, Greenawald, M, and Hagen, Michael D Topic(s) Family Medicine Certification Keyword(s) Self-Assessment And Lifelong Learning Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 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 2017 Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016 Go to Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016 2018 Predictors of Attrition From Family Medicine Board Certification Go to Predictors of Attrition From Family Medicine Board Certification 2020 The Built Environment for Professionalism. Go to The Built Environment for Professionalism.
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
2017 Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016 Go to Performance of Graduating Residents on the American Board of Family Medicine Certification Examination 2009-2016
2018 Predictors of Attrition From Family Medicine Board Certification Go to Predictors of Attrition From Family Medicine Board Certification