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 Family physicians’ ability to perform population management is associated with adoption of other aspects of the patient-centered medical home Family physicians’ ability to perform population management is associated with adoption of other aspects of the patient-centered medical home 2015 Author(s) Ottmar, J, Blackburn, Brenna E, Phillips, Robert L, Peterson, Lars E, and Jaén, Carlos Roberto Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Patient Centered Medical Home (PCMH), Quality Of Care, and Visiting Scholar/Fellow Volume Population Health Management Source Population Health Management The patient-centered medical home (PCMH) model is considered a promising approach to improving population health, but how elements of these advanced practice models relate to population health capability is unknown. To measure associations between family physicians’ performance of population management with PCMH components, a cross-sectional survey was conducted with physicians accessing the American Board of Family Medicine Web site in 2011. Bivariate analysis and logistic regression tested associations between physician and practice demographics and specific PCMH features. The primary outcome was performance of population management. The final sample included 3855 physicians, 37.3% of whom reported performing population management. Demographic characteristics significantly associated with greater use of population management were female sex and graduation from an international medical school. PCMH components that remained associated with population management after adjustment were access to clinical case managers (odds ratio [OR]=2.01, 95% confidence interval [95% CI]: 1.69, 2.39), behavioral health collaboration (OR=1.49, 95% CI: 1.26, 1.77), having an electronic health record that supports meaningful use (OR=1.47, 95% CI: 1.25, 1.74), recent participation in a quality improvement project (OR=2.47, 95% CI: 2.12, 2.89), and routine measurement of patient difficulty securing an appointment (OR=2.87, 95% CI: 2.45, 3.37). Performance of population management was associated with several PCMH elements and resources not present in traditional primary care offices. Attention to these elements likely will enhance delivery of population management services in primary care. Read More ABFM Research Read all 2020 Women’s Work: Why Are Women Physicians More Burned Out? Go to Women’s Work: Why Are Women Physicians More Burned Out? 2019 Primary Care Research Priorities in Low-and Middle-Income Countries Go to Primary Care Research Priorities in Low-and Middle-Income Countries 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 2020 The COVID-19 Tsunami: The Tide Goes Out Before It Comes In Go to The COVID-19 Tsunami: The Tide Goes Out Before It Comes In
Author(s) Ottmar, J, Blackburn, Brenna E, Phillips, Robert L, Peterson, Lars E, and Jaén, Carlos Roberto Topic(s) Role of Primary Care, and Achieving Health System Goals Keyword(s) Patient Centered Medical Home (PCMH), Quality Of Care, and Visiting Scholar/Fellow Volume Population Health Management Source Population Health Management
ABFM Research Read all 2020 Women’s Work: Why Are Women Physicians More Burned Out? Go to Women’s Work: Why Are Women Physicians More Burned Out? 2019 Primary Care Research Priorities in Low-and Middle-Income Countries Go to Primary Care Research Priorities in Low-and Middle-Income Countries 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 2020 The COVID-19 Tsunami: The Tide Goes Out Before It Comes In Go to The COVID-19 Tsunami: The Tide Goes Out Before It Comes In
2020 Women’s Work: Why Are Women Physicians More Burned Out? Go to Women’s Work: Why Are Women Physicians More Burned Out?
2019 Primary Care Research Priorities in Low-and Middle-Income Countries Go to Primary Care Research Priorities in Low-and Middle-Income Countries
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
2020 The COVID-19 Tsunami: The Tide Goes Out Before It Comes In Go to The COVID-19 Tsunami: The Tide Goes Out Before It Comes In
