Suppr超能文献

中心癌症登记处患者种族和民族数据的准确性。

Accuracy of patient race and ethnicity data in a central cancer registry.

机构信息

Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, USA.

Utah Cancer Registry, University of Utah, Salt Lake City, UT, USA.

出版信息

Cancer Causes Control. 2024 Apr;35(4):685-694. doi: 10.1007/s10552-023-01827-3. Epub 2023 Nov 29.

Abstract

PURPOSE

Race and Hispanic ethnicity data can be challenging for central cancer registries to collect. We evaluated the accuracy of the race and Hispanic ethnicity variables collected by the Utah Cancer Registry compared to self-report.

METHODS

Participants were 3,162 cancer survivors who completed questionnaires administered in 2015-2022 by the Utah Cancer Registry. Each survey included separate questions collecting race and Hispanic ethnicity, respectively. Registry-collected race and Hispanic ethnicity were compared to self-reported values for the same individuals. We calculated sensitivity and specificity for each race category and Hispanic ethnicity separately.

RESULTS

Survey participants included 323 (10.2%) survivors identifying as Hispanic, a lower proportion Hispanic than the 12.1% in the registry Hispanic variable (sensitivity 88.2%, specificity 96.5%). For race, 43 participants (1.4%) self-identified as American Indian or Alaska Native (AIAN), 32 (1.0%) as Asian, 23 (0.7%) as Black or African American, 16 (0.5%) Pacific Islander (PI), and 2994 (94.7%) as White. The registry race variable classified a smaller proportion of survivors as members of each of these race groups except White. Sensitivity for classification of race as AIAN was 9.3%, Asian 40.6%, Black 60.9%, PI 25.0%, and specificity for each of these groups was > 99%. Sensitivity and specificity for White were 98.8% and 47.4%.

CONCLUSION

Cancer registry race and Hispanic ethnicity data often did not match the individual's self-identification. Of particular concern is the high proportion of AIAN individuals whose race is misclassified. Continued attention should be directed to the accurate capture of race and ethnicity data by hospitals.

摘要

目的

种族和西班牙裔数据对于中央癌症登记处来说是一个挑战,难以收集。我们评估了犹他癌症登记处收集的种族和西班牙裔变量与自我报告的准确性。

方法

参与者为 3162 名癌症幸存者,他们在 2015-2022 年期间完成了由犹他癌症登记处管理的问卷调查。每个调查都分别收集了种族和西班牙裔的数据。登记处收集的种族和西班牙裔变量与同一人群的自我报告值进行了比较。我们分别为每个种族类别和西班牙裔变量计算了敏感性和特异性。

结果

调查参与者包括 323 名(10.2%)自我认定为西班牙裔的幸存者,这一比例低于登记处西班牙裔变量中的 12.1%(敏感性 88.2%,特异性 96.5%)。在种族方面,43 名参与者(1.4%)自我认定为美洲印第安人或阿拉斯加原住民(AIAN),32 名(1.0%)为亚洲人,23 名(0.7%)为黑人或非裔美国人,16 名(0.5%)为太平洋岛民(PI),2994 名(94.7%)为白人。登记处的种族变量将较少比例的幸存者归类为这些种族群体的成员,除了白人。AIAN 种族的分类敏感性为 9.3%,亚洲人为 40.6%,黑人 60.9%,PI 为 25.0%,每个群体的特异性均高于 99%。白人的敏感性和特异性分别为 98.8%和 47.4%。

结论

癌症登记处的种族和西班牙裔数据通常与个人的自我认同不匹配。特别值得关注的是,大量的 AIAN 个体的种族被错误分类。应继续关注医院准确收集种族和族裔数据。

相似文献

1
Accuracy of patient race and ethnicity data in a central cancer registry.中心癌症登记处患者种族和民族数据的准确性。
Cancer Causes Control. 2024 Apr;35(4):685-694. doi: 10.1007/s10552-023-01827-3. Epub 2023 Nov 29.

本文引用的文献

4
Cancer statistics, 2022.癌症统计数据,2022 年。
CA Cancer J Clin. 2022 Jan;72(1):7-33. doi: 10.3322/caac.21708. Epub 2022 Jan 12.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验