Long Judith A, Bamba Melissa I, Ling Bruce, Shea Judy A
Leonard Davis Institute of Health Economics, University of Pennsylvania, USA.
J Health Care Poor Underserved. 2006 Feb;17(1):128-40. doi: 10.1353/hpu.2006.0029.
Many studies evaluating racial disparities in health come from the Veterans Health Administration (VHA) and are based on secondary and administrative data. Often race/ethnicity data are missing in these sources. Knowing how investigators treat missing data is critical in evaluating potential biases. The objectives of this systematic review were to quantify: (1) the data sources for VHA racial/ethnic disparity studies; (2) how missing race/ethnicity data were handled; and (3) the extent of missing race/ethnicity data. Two trained reviewers independently abstracted 114 articles. The Patient Treatment File was the most common source of race/ethnicity data (n=49). For just over half of the articles we were unable to determine if there were missing race/ethnicity data (n=58). When missing race/ethnicity data were quantified, the proportion of instances for which the data were missing ranged from 0% to 48%. Missing race/ethnicity data are frequently present in VHA secondary and administrative data sources, but, the proportion of instances for which such data are missing is explicitly discussed or quantified in only about 50% of all articles using these sources.
许多评估健康方面种族差异的研究来自退伍军人健康管理局(VHA),且基于二手数据和行政数据。这些数据来源中常常缺少种族/族裔数据。了解研究人员如何处理缺失数据对于评估潜在偏差至关重要。本系统综述的目的是量化:(1)VHA种族/族裔差异研究的数据来源;(2)缺失的种族/族裔数据是如何处理的;(3)种族/族裔数据缺失的程度。两名经过培训的评审人员独立提取了114篇文章的信息。患者治疗档案是种族/族裔数据最常见的来源(n = 49)。对于略超过半数的文章,我们无法确定是否存在缺失的种族/族裔数据(n = 58)。当对缺失的种族/族裔数据进行量化时,数据缺失的实例比例从0%到48%不等。VHA的二手数据和行政数据来源中经常存在缺失的种族/族裔数据,但是,在使用这些来源的所有文章中,只有约50%明确讨论或量化了此类数据缺失的实例比例。