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Home Research Research Library Using county-level public health data to prioritize medical education topics Using county-level public health data to prioritize medical education topics 2008 Author(s) Sumner, W, Schootman, M, Asaro, P, Yan, Y, and Hagen, Michael D Topic(s) Education & Training, Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Journal of Continuing Education in the Health Professions Source Journal of Continuing Education in the Health Professions INTRODUCTION: Medical education topics might be locally prioritized using public health data on health outcomes and risk factors unrelated to quality of care. METHODS: The Missouri Information for Community Assessment (MICA) supplied preventable hospitalization rates (PHRs) for asthma, chronic obstructive pulmonary disease (COPD), diabetes, heart failure, and hypertension in 114 counties from 1998 to 2002. For each disease, a linear regression model predicted PHR from behavior, access, and disease prevalence data from MICA and other public data sources. For each disease in each county, the residual, unexplained PHR should include effects of local medical practices. Variation in relative priority of diseases between counties was estimated from raw PHR and unexplained PHR. RESULTS: The raw values of the five PHRs varied geographically in different patterns. Regression models explained between 46% and 83% of the variability. The medical education priorities implied by unexplained PHR values differ from priorities inferred from unadjusted PHR or disease prevalence. DISCUSSION: Patient behavior and poor health care access contribute to PHR but do not fully explain variation in PHR. If county-level unexplained PHR values identify high priority medical education topics, then other measures of importance, notably disease prevalence and PHR, are poor identifiers of high value topics. Although available predictor and outcome variables constrain the current analysis, unexplained variation in health outcome measures might identify educational opportunities. These observations suggest strategies for balancing and evaluating controlled trials of knowledge dissemination efforts and eventually for deploying educational activities. Read More ABFM Research Read all 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments 2013 The rise of electronic health record adoption among family physicians Go to The rise of electronic health record adoption among family physicians 2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION 2023 Rural Versus Urban Family Medicine Residency Scope of Training and Practice Go to Rural Versus Urban Family Medicine Residency Scope of Training and Practice
Author(s) Sumner, W, Schootman, M, Asaro, P, Yan, Y, and Hagen, Michael D Topic(s) Education & Training, Role of Primary Care, and Achieving Health System Goals Keyword(s) Quality Of Care Volume Journal of Continuing Education in the Health Professions Source Journal of Continuing Education in the Health Professions
ABFM Research Read all 2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments 2013 The rise of electronic health record adoption among family physicians Go to The rise of electronic health record adoption among family physicians 2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION 2023 Rural Versus Urban Family Medicine Residency Scope of Training and Practice Go to Rural Versus Urban Family Medicine Residency Scope of Training and Practice
2018 Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments Go to Rapid Sense Making: A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
2013 The rise of electronic health record adoption among family physicians Go to The rise of electronic health record adoption among family physicians
2019 PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION Go to PURSUING PRACTICAL PROFESSIONALISM: FORM FOLLOWS FUNCTION
2023 Rural Versus Urban Family Medicine Residency Scope of Training and Practice Go to Rural Versus Urban Family Medicine Residency Scope of Training and Practice