Grobe T G
Institut für Sozialmedizin, Epidemiologie und Gesundheitssystemforschung, Hannover, BRD.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2008 Oct;51(10):1106-17. doi: 10.1007/s00103-008-0645-z.
Since the 1990s, administrative data sources of statutory health insurance companies in Germany have significantly expanded. However, general statements with regard to data availability are not possible. Taking the example of the Gmünder Ersatzkasse (GEK) with currently about 1.6 million insured persons, this article will give an impression, which data, and since when, could have been used for scientific analysis. Examples of different topics (unemployment, alcohol abuse, outpatient psychotherapy, coronary revascularization) are given. Data exist on almost all sectors of health insurance coverage since the availability of information on outpatient care in the year 2004. Research opportunities - and hence the scientific value of these data - are mainly resulting from the acquisition of data at the personlevel. Only with person-level data can longitudinal and trans-sectoral analysis capabilities with clearly defined denominator populations arise. Due to the availability of data for large populations, previously nonexisting analysis options are now available.
自20世纪90年代以来，德国法定健康保险公司的行政数据源大幅扩展。然而，关于数据可用性的一般性陈述是不可能的。以目前约有160万被保险人的京德讷尔替代保险公司（GEK）为例，本文将展示哪些数据以及从何时起可用于科学分析。文中给出了不同主题（失业、酗酒、门诊心理治疗、冠状动脉血运重建）的示例。自2004年有门诊护理信息以来，几乎所有医疗保险覆盖领域的数据都已存在。研究机会——以及这些数据的科学价值——主要源于个人层面的数据获取。只有通过个人层面的数据，才能对明确界定的分母人群进行纵向和跨部门分析。由于大量人群数据的可用性，现在有了以前不存在的分析选项。
