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创伤患者电子病历中种族和民族分类错误的差异。

Disparities in Misclassification of Race and Ethnicity in Electronic Medical Records Among Patients with Traumatic Injury.

机构信息

University of Washington School of Social Work, 4101 15th Ave. NE, Seattle, WA, 98105, USA.

Department of Epidemiology, University of Washington School of Public Health, 325 9th Ave., Box 359960, Seattle, WA, 98104, USA.

出版信息

J Racial Ethn Health Disparities. 2024 Dec;11(6):3289-3293. doi: 10.1007/s40615-023-01783-3. Epub 2023 Sep 13.

Abstract

Systems-level barriers to self-reporting of race and ethnicity reduce the integrity of data entered into the medical record and trauma registry among patients with injuries, limiting research assessing the burden of racial disparities. We sought to characterize misclassification of self-identified versus hospital-recorded racial and ethnic identity data among 10,513 patients with traumatic injuries. American Indian/Alaska Native patients (59.9%) and Native Hawaiian/Pacific Islander patients (52.4%) were most likely to be misclassified. Most Hispanic/Latin(x) patients preferred to only be identified as Hispanic/Latin(x) (73.2%) rather than a separate race category (e.g., White). Incorrect identification of race/ethnicity also has substantial implications for the perceived demographics of patient population; according to the medical record, 82.3% of the population were White, although only 70.6% were self-identified as White. The frequency of misclassification of race and ethnicity for persons of color limits research validity on racial and ethnic injury disparities.

摘要

系统层面上报种族和民族的障碍降低了受伤患者病历和创伤登记系统中输入数据的完整性,限制了评估种族差异负担的研究。我们试图描述 10513 名创伤患者自我认同与医院记录的种族和民族身份数据的分类错误。美国印第安人/阿拉斯加原住民患者(59.9%)和夏威夷原住民/太平洋岛民患者(52.4%)最有可能被分类错误。大多数西班牙裔/拉丁裔(x)患者更愿意仅被识别为西班牙裔/拉丁裔(x)(73.2%),而不是单独的种族类别(例如,白人)。种族/民族的错误识别也对患者人群的感知人口统计学特征有重大影响;根据病历,82.3%的人口为白人,尽管只有 70.6%的人自我认同为白人。有色人种的种族和民族分类错误的频率限制了关于种族和民族伤害差异的研究有效性。

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