Using linked administrative and disease-specific databases to study end-of-life care on a population level. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Maetens, Arno; De Schreye, Robrecht; Faes, Kristof; Houttekier, Dirk; Deliens, Luc; Gielen, Birgit; De Gendt, Cindy; Lusyne, Patrick; Annemans, Lieven; Cohen, Joachim
• Is Part Of: BMC palliative care. Volume 15:Issue 1(2016)
• Page Start: 1
• Page End: 10
• Publication Date: 2016-12
• Subjects: End-of-life -- Data linkage -- Administrative databases -- Disease-specific databases -- Full-population; Palliative treatment -- Periodicals; 616.02905
• DOI: 10.1186/s12904-016-0159-7
• Languages: English
• ISSNs: 1472-684X

Abstract

Abstract Background The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databases, and (3) what is needed to integrate separate databases. Methods Technical and privacy-related aspects of linking and accessing Belgian administrative databases and disease registries were assessed in cooperation with the database administrators and privacy commission bodies. For all relevant databases, we followed procedures in cooperation with database administrators to link the databases and to access the data. Results We identified several databases as fitting for end-of-life care research in Belgium: the InterMutualistic Agency's national registry of health care claims data, the Belgian Cancer Registry including data on incidence of cancer, and databases administrated by Statistics Belgium including data from the death certificate database, the socio-economic survey and fiscal data. To obtain access to the data, approval was required from all database administrators, supervisory bodies and two separate national privacy bodies. Two Trusted Third Parties linked the databases via a deterministic matching procedure using multiple encrypted social security numbers. Conclusion In this article we describe how various routinely collected population-level databases and disease registries can be accessed and linked to study patterns in the use, quality and costs of end-of-life care in the full population and in specific diagnostic groups.