Arispe Irma E, Holmes Julia S, Moy Ernest
National Center for Health Statistics, Centers for Disease Control and Prevention, US Department of Health and Human Services, Hyattssville, MD 20782, USA.
Med Care. 2005 Mar;43(3 Suppl):I17-23. doi: 10.1097/00005650-200503001-00004.
The objective of this study was to describe 2 measurement challenges faced in the development of the National Healthcare Quality Report (NHQR) and the National Healthcare Disparities Report (NHDR): the use of federal data on race and ethnicity and the selection of measures of socioeconomic status (SES).
Over 30 federal and nonfederal data systems were examined to identify measures of race, ethnicity, and SES and to evaluate the characteristics and relative quality of the data.
The availability and quality of data on race, ethnicity, and SES vary by factors such as the type of data (population or establishment based-survey, administrative/claims data, or vital statistics), the source of information (self, proxy, other, or some combination), and the transition to new federal standards. No single measure of SES could be identified, so a mix of measures is presented, including income, education, and expected source of payment (ESOP). Income relative to federal poverty level was used as the preferred SES measure from person-based surveys. Selected analyses linking hospital discharge data to annual median household income from US census data were presented for data derived from administrative data systems. Educational attainment was the variable used for examining SES using data from the Vital Statistics System.
The first NHQR and NHDR maximized the presentation of data by accommodating the variation among data systems while at the same time imposing some standardization in the coding and classification of data on race, ethnicity, and SES.
本研究的目的是描述在编制《国家医疗质量报告》(NHQR)和《国家医疗差异报告》(NHDR)过程中面临的两个测量挑战:联邦种族和族裔数据的使用以及社会经济地位(SES)测量指标的选择。
对30多个联邦和非联邦数据系统进行了审查,以确定种族、族裔和SES的测量指标,并评估数据的特征和相对质量。
种族、族裔和SES数据的可用性和质量因数据类型(基于人口或机构的调查、行政/索赔数据或生命统计数据)、信息来源(自我、代理人、其他或某种组合)以及向新联邦标准的过渡等因素而有所不同。无法确定单一的SES测量指标,因此给出了多种测量指标的组合,包括收入、教育程度和预期支付来源(ESOP)。相对于联邦贫困水平的收入被用作基于个人调查的首选SES测量指标。针对从行政数据系统获得的数据,展示了将医院出院数据与美国人口普查数据中的年度家庭收入中位数相联系的选定分析。教育程度是使用生命统计系统数据来检验SES时所采用的变量。
首份NHQR和NHDR通过适应数据系统之间的差异,同时在种族、族裔和SES数据的编码和分类方面实施一些标准化,最大限度地呈现了数据。