Abstract
OBJECTIVES: Many excellent health care databases are available in The Netherlands for (pharmaco-)epidemiologic research. However, in isolation these data remain scattered and have limitations with regard to sample sizes and/or detail of the registered information.The objective of Mondriaan is to optimize access to en linkage of routine health care databases in the The Netherlands for (pharmaco- )epidemiologic research. METHODS: We have built an ICT infrastructure for collection and linkage of healthcare/research data in The Netherlands. To protect privacy, pseudonimisation and linkage is performed by a trusted third party (TTP). A data catalogue on subject level has been developed to allow queries within the integrated databases to support designing (pharmaco-) epidemiologic studies (incl. sample size calculations, assessment of completeness of data). RESULTS: We are able to routinely link all pharmacy records from the National Foundation of Pharmaceutical Statistics (SFK) (n>14,000,000) on a patient base to several routine health care databases such as the Almere Health Care database (n=200,000), the Julius GP Network (n=200,000), and the AGIS claims database (n=1,200,000). Currently we are integrating several other databases in the The Netherlands. CONCLUSIONS: The project will deliver a large-scale, high-quality data platform for innovative (pharmaco-)epidemiologic research.
| Original language | English |
|---|---|
| Pages (from-to) | 423 |
| Number of pages | 1 |
| Journal | Value in Health |
| Volume | 14 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 1 Nov 2011 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- population
- laboratory
- data base
- health care
- Netherlands
- epidemiology
- sample size
- patient
- privacy
- human
- pharmacy
- non profit organization
- statistics
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