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Data Disaggregation: A Research Tool to Identify Health Inequities
Journal of Pediatric Health Care ( IF 2.8 ) Pub Date : 2021-03-26 , DOI: 10.1016/j.pedhc.2020.12.002
Kristin H Gigli

The U.S. population is increasingly diverse, with less than half of all children identifying as non-Hispanic White. It is imperative health care providers and researchers further their awareness of how race and structural racism contribute to pervasive, systemic health disparities among children and their families so that steps can be taken to alleviate health inequities. This paper examines data disaggregation, on the basis of race and ethnicity, as a research tool to examine the heterogeneity of the pediatric population, identifies strategies for conducting research with disaggregated data, and provides examples of research in which data disaggregation has increased knowledge of racial and ethnic inequities in pediatric health and health care delivery.



中文翻译:

数据分解:识别健康不平等的研究工具

美国人口越来越多样化,只有不到一半的儿童被认定为非西班牙裔白人。医疗保健提供者和研究人员必须进一步了解种族和结构性种族主义如何导致儿童及其家庭之间普遍存在的系统性健康差异,以便采取措施减轻健康不平等。本文研究了基于种族和民族的数据分类,作为检查儿科人群异质性的研究工具,确定了使用分类数据进行研究的策略,并提供了数据分类增加了种族知识的研究示例。儿科健康和医疗保健提供方面的种族不平等。

更新日期:2021-05-18
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