[Possibilities of utilising official statistics for health services research]

Gesundheitswesen. 2002 May;64(5):253-8. doi: 10.1055/s-2002-28349.
[Article in German]

Abstract

This report deals with the experiences and problems with using official statistics on a limited area level of Germany's 440 administrative districts. The data comprised health-related issues and were used for an ecological analysis of the determinants of hospital use. We obtained health statistics data from homepages of the German health report, the Federal statistics office, and the 16 statistics offices of the Federal states. We also made use of the data base of the joint regional statistics published by the Federal and regional statistics offices. Finally, there was a co-ordinated inquiry to the regional statistics offices about the supply of data on mortality, hospital discharges, structure of hospital care and several socio-economic indicators. The process of data collecting was mostly unproblematic. On the other hand, not all of the data were available on a limited area level in a satisfying form and quality. For reasons of data protection some information of small districts was transmitted incompletely. Additionally, there are procedural differences between regional statistics offices regarding the differentiation between some variables and in the exchange of data between the federal states. Finally, some problems were due to varying age classifications for different health indicators. For health services research the use of official statistics becomes increasingly comfortable via health reports and Internet. However, for specific questions of research some problems still remain, rising from missing standardised health indicators and deficient availability of limited area health data. Data collection is exacerbated by restrictive interpretation of data protection acts and the different handling of data inquiries in the regional statistics offices. Finally, there is a lack of data on morbidity and use of ambulatory care.

Publication types

  • English Abstract

MeSH terms

  • Data Collection / statistics & numerical data
  • Data Interpretation, Statistical
  • Germany
  • Health Services Research / statistics & numerical data*
  • Humans
  • National Health Programs / statistics & numerical data*
  • Patient Admission / statistics & numerical data*