Schubert I, Köster I, Küpper-Nybelen J, Ihle P
PMV forschungsgruppe, Universität zu Köln, Köln, BRD.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2008 Oct;51(10):1095-105. doi: 10.1007/s00103-008-0644-0.
Conducting health services research requires a wealth of real-life health service data. A source of data which is for the most part free of bias is the data collected for administrative purposes by the statutory health insurance fund. These data have been increasingly used over the past few years. Based on these insuree-related and where possible cross-sector data, descriptive and analytic studies can be conducted. The focus of use thus far has primarily been the generation of basic data on morbidity, the utilization of benefits, and costs. As a rule, this information is presented according to sociodemographic variables and where applicable in terms of temporal trends and according to region. A further domain of interest is the evaluation of interventions (health political measures, legislation, programs) and the assessment of health service quality. Initial outcome studies have been published. Despite the growing acceptance and use of these data, a series of methodological and information technical challenges remain to be addressed: To be mentioned are, in addition to validation studies, the methodological requirements of analytic study designs and the possibility of a data linkage with primary data in order to increase the explanatory power of studies and to facilitate links with other databases such as records and survey data.
开展卫生服务研究需要大量真实的卫生服务数据。法定健康保险基金为行政目的收集的数据在很大程度上是无偏差的数据来源。在过去几年中，这些数据的使用越来越多。基于这些与被保险人相关且尽可能跨部门的数据，可以进行描述性和分析性研究。迄今为止，使用的重点主要是生成关于发病率、福利利用情况和成本的基础数据。通常，这些信息是根据社会人口统计学变量呈现的，并在适用时根据时间趋势和地区呈现。另一个感兴趣的领域是对干预措施（卫生政策措施、立法、项目）的评估以及卫生服务质量的评估。已经发表了初步的结果研究。尽管这些数据越来越被接受和使用，但仍有一系列方法和信息技术挑战有待解决：除了验证研究外，还需要提及分析性研究设计的方法要求以及与原始数据进行数据链接的可能性，以便提高研究的解释力并促进与其他数据库（如记录和调查数据）的链接。
