
Although the quality of administrative data of German health insurance is relatively good, administrative data are rarely used for the purpose of health economic evaluations in Germany. Health economic evaluations in Germany have so far mainly been performed based on primary data while in other countries the use of secondary data is quite common. The objective of the article is to give an introduction into the possibilities of performing health economic evaluations based on administrative data. First, we show that German health insurance have data sets that allow the follow-up of patients across all sectors of health care. Subsequently, characteristics of primary data and administrative data of health insurance for the purpose of health economic evaluations are compared. Finally we present an overview of recently performed health economic evaluations based on administrative data in Germany and conclude with lessons from other countries on the use of administrative data and implications for Germany.
Health Care Rationing, Models, Economic, National Health Programs, Germany, Health Care Costs, Delivery of Health Care
Health Care Rationing, Models, Economic, National Health Programs, Germany, Health Care Costs, Delivery of Health Care
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
