Inconsistencies between self-reported ethnicity and ethnicity recorded in a health maintenance organization

Inconsistencies between self-reported ethnicity and ethnicity recorded in a health maintenance organization
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DOI:
10.1016/j.annepidem.2004.03.002
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发表时间:
2005-01-01
影响因子:
5.6
通讯作者:
Sidney, S
Sidney, S
中科院分区:
医学3区
文献类型:
--
作者:
Gomez, SL;Kelsey, JL;Sidney, S

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目的:医院入院数据库中有关患者种族的信息经常用于流行病学和卫生服务研究。然而,这些数据与自我报告的种族的一致性程度并没有得到很好的研究,特别是对于特定的亚洲亚群。我们检查了北加州五个凯撒永久医疗中心成员中自我报告种族的样本记录中种族之间的一致性。方法:研究对象为3168名病例和2413名对照,年龄在45岁及以上。在Kaiser入院数据库中记录的种族(主要是住院患者)与研究访谈中自我报告的种族进行比较。结果:在可获得Kaiser种族的研究受试者中,Kaiser分类的敏感性和阳性预测值在黑人(两项指标分别为0.95)和白人(分别为0.98和0.94)中较高,在亚裔中略低(分别为0.88和0.95),在西班牙裔(分别为0.55和0.81)和美国印第安人(分别为0.47和0.50)中显著较低。在亚裔亚群中,被归类为亚裔的比例在中国人(0.94)和日本人(0.99)中很高,但在菲律宾人(0.79)和其他亚洲人(0-74)中较低。在228名(4%)自认为多种族的受试者中,18名白人+西班牙裔受试者中有13人被归类为白人,而在凯撒数据库中识别为部分美国印第安人的77名受试者中,只有1人被归类为美国印第安人。结论:鉴于种族信息的重要性,应鼓励医疗机构采取收集高质量数据的政策。
PURPOSE: Information on patient ethnicity in hospital admissions databases is often used in epidemiologic and health services research. However, the extent of consistency of these data with self-reported ethnicity is not well studied, particularly for specific Asian Subgroups. We examined agreement between ethnicity in records of a sample of members of five Northern California Kaiser Permanente medical centers with self-reported ethnicity.METHODS: Subjects were 3168 cases and 2413 controls aged 45 years and older from a study of fractures. Ethnicity recorded in the Kaiser admissions database (primarily inpatient) was compared with self-reported ethnicity from the study interviews.RESULTS: Among study subjects with available Kaiser ethnicity, sensitivities and positive predictive values of the Kaiser classification were high among blacks (0.95 for both measures) and whites (0.98 and 0.94, respectively), slightly lower among Asians (0.88 and 0.95, respectively), and considerably lower among Hispanics (0.55 and 0.81, respectively) and American Indians (0.47 and 0.50, respectively). Among Asian subgroups, the proportion classified as Asian was high among Chinese (0.94) and Japanese (0.99) but lower among Filipinos (0.79) and other Asians (0-74). Among the 228 (4%) subjects who self-identified with multiple ethnicities, 13 of 18 white + Hispanic subjects were classified as being white, and of the 77 subjects identifying as part American Indian, only one was classified as being American Indian in the Kaiser database.CONCLUSIONS: Given the importance of ethnicity information, medical facilities should be encouraged to adopt policies toward collecting high quality data.