Making Oneself "Fit": Community Perspectives on Disaggregated Race and Ethnicity Data Collection and Reporting in Healthcare Settings.

IF 3.2 3区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Farah Kader, Luisa Cárdenas, Matthew Lee, Perla Chebli, Lan N Ðoàn, Alexandra Kamler, Stella S Yi, Maya Scherer
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Abstract

Patient race/ethnicity data collection in most U.S. health systems abide by federal standards, determined by the federal Office of Management and Budget. Yet, decades of research show that reliance on these categories alone limits understanding of within-group health disparities, systematically erasing key groups from health data. Because granular race/ethnicity data is complex and patients may be hesitant to disclose this personal information, it is important for health leaders to consider community perspectives when making decisions about race/ethnicity data procedures. As such, this study uses community focus groups to understand: (1) how individuals representing different racial/ethnic identities perceive the collection of race/ethnicity in healthcare settings; (2) differences in opinions between disaggregated race/ethnicity data collection instruments and those using federal standards; and (3) recommended practices for collecting race/ethnicity from patients. Participants self-selected into 13 focus groups and one key informant interview based on the race/ethnicity with which they most closely identified. Audio recordings from these groups were transcribed and evaluated using thematic content analysis. Among the 83 total participants in this study, there was a strong preference for more flexible and specific options for self-identifying race/ethnicity in healthcare settings. Participants also felt comfortable disclosing granular race/ethnicity to health providers but expressed discomfort with disclosing this information for other purposes. Recommendations for healthcare leaders include ensuring patients receive detailed communication about race/ethnicity data use and purpose, allowing multiple category selection, keeping the list of disaggregated response options short so as to not overwhelm patients, and providing a free text option to ensure inclusivity.

Abstract Image

让自己 "合适":关于医疗机构种族和民族分类数据收集和报告的社区观点。
大多数美国医疗系统的患者种族/民族数据收集工作都遵守联邦管理和预算办公室制定的联邦标准。然而,数十年的研究表明,仅仅依靠这些类别限制了对群体内健康差异的理解,系统性地将关键群体从健康数据中抹去。由于详细的种族/人种数据非常复杂,而且患者可能不愿透露这些个人信息,因此卫生领导者在决定种族/人种数据程序时,必须考虑社区的观点。因此,本研究通过社区焦点小组来了解:(1)代表不同种族/民族身份的个人如何看待在医疗机构中收集种族/民族数据;(2)种族/民族分类数据收集工具与使用联邦标准的数据收集工具之间的意见差异;以及(3)向患者收集种族/民族数据的建议做法。参与者根据他们最认同的种族/族裔,自主选择了 13 个焦点小组和一个关键信息提供者访谈。对这些小组的录音进行了转录,并使用主题内容分析法进行了评估。在这项研究的 83 名参与者中,他们强烈倾向于在医疗保健环境中使用更灵活、更具体的自我种族/民族身份识别选项。参与者还对向医疗服务提供者披露详细的种族/族裔信息感到舒适,但对出于其他目的披露这些信息表示不适。对医疗保健领导者的建议包括:确保患者收到有关种族/族裔数据使用和目的的详细沟通,允许选择多个类别,保持分类回答选项列表的简短以避免患者不知所措,以及提供自由文本选项以确保包容性。
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来源期刊
Journal of Racial and Ethnic Health Disparities
Journal of Racial and Ethnic Health Disparities PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
7.30
自引率
5.10%
发文量
263
期刊介绍: Journal of Racial and Ethnic Health Disparities reports on the scholarly progress of work to understand, address, and ultimately eliminate health disparities based on race and ethnicity. Efforts to explore underlying causes of health disparities and to describe interventions that have been undertaken to address racial and ethnic health disparities are featured. Promising studies that are ongoing or studies that have longer term data are welcome, as are studies that serve as lessons for best practices in eliminating health disparities. Original research, systematic reviews, and commentaries presenting the state-of-the-art thinking on problems centered on health disparities will be considered for publication. We particularly encourage review articles that generate innovative and testable ideas, and constructive discussions and/or critiques of health disparities.Because the Journal of Racial and Ethnic Health Disparities receives a large number of submissions, about 30% of submissions to the Journal are sent out for full peer review.
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