Tribal Linkage and Race Data Quality for American Indians in a State Cancer Registry
Tribal Linkage and Race Data Quality for American Indians in a State Cancer Registry
复制标题
DOI：
10.1016/j.amepre.2009.01.035
复制
发表时间：
2009-06-01
影响因子：
5.5
通讯作者：
Roubidoux, Marilyn A.
中科院分区：
文献类型：
--
作者：
Johnson, Jennifer C.;Soliman, Amr S.;Roubidoux, Marilyn A.
背景资料：美国印第安人和阿拉斯加原住民（AI/AN）在癌症登记中被错误分类为非AI/AN，这给癌症监测、研究和公共卫生实践带来了问题。本研究的目的是调查部落联系在提高州癌症登记处种族信息质量方面的效率。方法：使用Registry Plus（TM）Link Plus 2.0概率记录联系软件连接密歇根州癌症登记处数据（1985-2004年; 1,031,168例癌症病例）于2007年7月列入部落成员名册（40,340人）。创建了一个数据集，其中包含由国家登记处、印度卫生服务（IHS）联系和部落联系确定的AI/AN癌症病例。这三组个体之间的差异通过人口学特征、诊断特征和县级特征的分布进行多水平分析比较（2007-2008年进行）。从1995年到2004年，部落登记档案显示，（583人）和部落联系导致确定了190例AI/AN癌症病例（168人），这些病例在登记处被归类为非AI/AN。超过80%的部落成员被报告为非AI/AN登记。通过IHS或部落联系确定的个体与报告为AI/AN的个体在诊断阶段、肿瘤确认和诊断县的特征（包括合同卫生服务的可用性、部落卫生服务的可用性和AI/AN居民的比例）方面不同。部落和州癌症登记数据集之间的数据联系提高了AI/AN密歇根州癌症病例的种族分类有效性。评估部落联系是一种简单、非侵入性的方法，可以提高AI/AN人群的国家癌症数据的准确性，并生成部落特异性癌症信息。(Am J Prev Med 2009;36（6）：549-554）（C）2009由Elsevier Inc.出版。《美国预防医学杂志》（American Journal of Preventive Medicine）
Background: Racial misclassification of American Indian and Alaska Native (AI/AN) individuals as non-AI/AN in cancer registries presents problems for cancer surveillance, research, and public health practice. The aim of this study was to investigate the efficiency of tribal linkages in enhancing the quality of racial information in state cancer registries.Methods: Registry Plus (TM) Link Plus 2.0 probabilistic record linkage software was used to link the Michigan state cancer registry data (1985-2004; 1,031,168 cancer cases) to the tribal membership roster (40,340 individuals) in July of 2007. A data set was created containing AI/AN cancer cases identified by the state registry, Indian Health Service (IHS) linkages, and tribal linkage. The differences between these three groups of individuals were compared by distribution of demographic, diagnostic, and county-level characteristics using multilevel analysis (conducted in 2007-2008).Results: From 1995 to 2004, the tribal enrollment file showed linkages to 670 cancer cases (583 individuals) and the tribal linkage led to the identification of 190 AI/AN cancer cases (168 individuals) that were classified as non-AI/AN in the registry. More than 80% of tribal members were reported as non-AI/AN to the registry. Individuals identified by IHS or tribal linkages were different from those reported to be AI/AN in terms of stage at diagnosis, tumor confirmation, and characteristics of the county of diagnosis, including contract health services availability, tribal health services availability, and proportion of AI/AN residents.Conclusions: The data linkage between tribal and state cancer registry data sets improved racial classification validity of AI/AN Michigan cancer cases. Assessing tribal linkages is a simple, noninvasive way to improve the accuracy of state cancer data for AI/AN populations and to generate tribe-specific cancer information. (Am J Prev Med 2009;36(6):549-554) (C) 2009 Published by Elsevier Inc. on behalf of American Journal of Preventive Medicine.