Last data update: May 13, 2024. (Total: 46773 publications since 2009)
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Query Trace: Bilheimer LT[original query] |
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Data and measurement issues in the analysis of health disparities
Bilheimer LT , Klein RJ . Health Serv Res 2010 45 1489-507 OBJECTIVE: To describe measurement challenges and strategies in identifying and analyzing health disparities and inequities. METHODS: We discuss the limitations of existing data sources for measuring health disparities and inequities, describe current strategies to address those limitations, and explore the potential of emerging strategies. PRINCIPLE FINDINGS: Larger national sample sizes are necessary to identify disparities for major population subgroups. Collecting self-reported race and granular ethnicity data may reduce some measurement errors, but it raises other methodological questions. The assessment of health inequities presents particular challenges, requiring analysis of the interactive effects of multiple determinants of health. Indirect estimation and modeling methods are likely to be important tools for estimating health disparities and inequities for the foreseeable future. CONCLUSIONS: Interdisciplinary training and collaborative research models will be essential for future disparities research. Evaluation of evolving methodologies for assessing health disparities should be a priority for health services researchers in the next decade. |
Evaluating metrics to improve population health
Bilheimer LT . Prev Chronic Dis 2010 7 (4) A69 The 7 metrics articles in this issue of Preventing Chronic Disease address the following topics: public health policy (1), health care access and quality (2), social and economic determinants (3), health behaviors (4), environmental metrics (5), population health outcomes (6), and health inequalities (7). The articles differ in the degree to which they establish a conceptual framework for linking metrics to rewards to improve population health. Their different perspectives raise questions of whether these metrics should meet certain criteria, regardless of domain, or whether some flexibility in the criteria for assessing metrics is necessary and desirable. Questions that arise in establishing such criteria relate to structure and function as well as data availability. |
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