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
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Home Research Research Library Adherence to clinical guidelines for monitoring diabetes in primary care settings. Adherence to clinical guidelines for monitoring diabetes in primary care settings. 2018 Author(s) Dai, Mingliang, Peabody, Michael R, Peterson, Lars E, and Mainous, Arch G III Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Family Medicine and Community Health Source Family Medicine and Community Health Objective: Adherence to clinical guidelines is key to improving diabetes care. Contemporary knowledge of guideline adherence is lacking. This study sought to produce a national snapshot of primary care physicians’ (PCPs) adherence to the American Diabetes Association guidelines for monitoring diabetes and determine whether continuity of care promotes adherence. Methods: Using the 2013 National Ambulatory Medical Care Survey, we examined adherence to ordering hemoglobin A1c (HbA1c) and lipid profile tests as recommended by the American Diabetes Association for monitoring diabetes in 2379 primary care visits of patient with diabetes. Results: In the preceding 12 months, less than 60.0% of the patients were given a test recommended for monitoring diabetes (58.0% for HbA1c and 57.0% for lipid profile). Continuity of care with PCPs increased the odds of adhering to diabetes monitoring guidelines by 36.0% for the HbA1c test (P=0.06) and by 76.0% for the lipid profile test (P=0.0006). Conclusion: A substantial gap exists in achieving optimal monitoring for diabetes in primary care settings in the United States. While PCPs are ideally positioned to ensure that guidelines are closely followed, we found that even in primary care settings, patient-provider continuity of care was associated with guideline adherence. Read More ABFM Research Read all 2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care 2016 Intended vs Reported Scope of Practice–Reply Go to Intended vs Reported Scope of Practice–Reply 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2021 Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club Go to Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club
Author(s) Dai, Mingliang, Peabody, Michael R, Peterson, Lars E, and Mainous, Arch G III Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Family Medicine and Community Health Source Family Medicine and Community Health
ABFM Research Read all 2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care 2016 Intended vs Reported Scope of Practice–Reply Go to Intended vs Reported Scope of Practice–Reply 2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments 2021 Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club Go to Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club
2022 Competencies for the Use of Artificial Intelligence in Primary Care Go to Competencies for the Use of Artificial Intelligence in Primary Care
2020 Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments Go to Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments
2021 Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club Go to Empowering Family Physicians to Drive Change in Practice: Plans for the ABFM National Journal Club