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克服在将医疗保险数据用于流行病学研究时可能遇到的陷阱。

Overcoming potential pitfalls in the use of Medicare data for epidemiologic research.

作者信息

Fisher E S, Baron J A, Malenka D J, Barrett J, Bubolz T A

机构信息

Department of Medicine, Dartmouth Medical School, Hanover, NH 03756.

出版信息

Am J Public Health. 1990 Dec;80(12):1487-90. doi: 10.2105/ajph.80.12.1487.

Abstract

We used Medicare data bases and US Census data to address two questions critical to the use of Medicare files for epidemiologic research. First, we examined the degree to which the population enrolled in the Medicare program is similar to the elderly resident population of the United States, as estimated by the US Census. We found small differences in the total population estimates but substantial differences by age and race. Second, we found that among Medicare enrollees, physician claims identify a small proportion of hip fracture cases which are not documented in the hospital discharge files. This proportion varies by age, region, and state within the United States. Calculation of rates based on Medicare hospital discharge data, and probably other hospital discharge data sets as well, must take these limitations into account. Use of all available Medicare data files can overcome these limitations.

摘要

我们使用医疗保险数据库和美国人口普查数据来解决两个对于将医疗保险档案用于流行病学研究至关重要的问题。首先,我们研究了医疗保险计划参保人群与美国人口普查估计的美国老年居民人口的相似程度。我们发现总体人口估计存在细微差异,但按年龄和种族划分存在显著差异。其次,我们发现,在医疗保险参保者中,医生申报识别出一小部分未在医院出院档案中记录的髋部骨折病例。这一比例在美国境内因年龄、地区和州而异。基于医疗保险医院出院数据以及可能其他医院出院数据集计算发病率时,必须考虑到这些局限性。使用所有可用的医疗保险数据档案可以克服这些局限性。

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