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Home Research Research Library Family Physicians’ Quality Interventions and Performance Improvement for Hypertension through Maintenance of Certification Family Physicians’ Quality Interventions and Performance Improvement for Hypertension through Maintenance of Certification 2016 Author(s) Peterson, Lars E, Blackburn, Brenna E, Puffer, James C, and Phillips, Robert L Topic(s) Family Medicine Certification, Role of Primary Care, and Achieving Health System Goals Keyword(s) Performance Improvement, and Quality Of Care Volume Journal for Healthcare Quality Source Journal for Healthcare Quality PURPOSE: Hypertension is a cause of considerable morbidity and mortality. Our objective was to describe the quality outcomes associated with physicians’ completion of hypertension Performance in Practice Modules (PPMs) as part of Maintenance of Certification (MOC). METHODS: Descriptive study of all hypertension PPMs completed by family physicians from July 2006 to 2013. Descriptive statistics characterized physician demographics and quality outcomes; linear regression determined characteristics associated with improvement. RESULTS: In total, 7,319 hypertension PPMs were completed by family physicians that had a mean age of 47.9 years and 14.2 years of practice experience. Most (52.4%) chose lipid control as their quality improvement (QI) focus. Performance on all quality measures improved except mean low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol values; however, percentage of patients with LDL < 130 mg/dl improved. Improvement was seen in blood pressure control (87.4% to 92.6%, p < .05), low sodium diet counseling (74.1% to 92.7%, p < .05), and exercise counseling (82.4% to 94.4%, p < .05). In regression models, no variable was consistently associated with improvement. DISCUSSION: Family physicians improved the quality of care for patients with hypertension through MOC. Leveraging MOC across all specialties may become an important support for improving management of conditions that cause considerable morbidity and mortality. Read More ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2015 Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination Go to Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination 2019 Medical Professionalism: A contract with Society Go to Medical Professionalism: A contract with Society 2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model
Author(s) Peterson, Lars E, Blackburn, Brenna E, Puffer, James C, and Phillips, Robert L Topic(s) Family Medicine Certification, Role of Primary Care, and Achieving Health System Goals Keyword(s) Performance Improvement, and Quality Of Care Volume Journal for Healthcare Quality Source Journal for Healthcare Quality
ABFM Research Read all 2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research 2015 Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination Go to Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination 2019 Medical Professionalism: A contract with Society Go to Medical Professionalism: A contract with Society 2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model
2020 Using Machine Learning to Predict Primary Care and Advance Workforce Research Go to Using Machine Learning to Predict Primary Care and Advance Workforce Research
2015 Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination Go to Assessing the viability of External Searchable Resources on the American Board of Family Medicine’s certification examination
2019 Medical Professionalism: A contract with Society Go to Medical Professionalism: A contract with Society
2014 Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model Go to Improving quality of care for diabetes through a maintenance of certification activity: family physicians’ use of the chronic care model
