Literature DB >> 22297825

[Procedures according to data protection laws for coupling primary and secondary data in a cohort study: the lidA study].

S March1, A Rauch, D Thomas, S Bender, E Swart.   

Abstract

In the German health service research there exists, unlike in labour market research, no experience with the combination of personal primary and secondary data. One of the reasons for this is, among other things, data protection. The lidA cohort study analyses persons in employment (excluding civil servants and self-employed), born in 1959 and 1965. It is intended to give answers to questions from the health services research as well as from the labour market research. It relies on different primary and secondary data sources: survey data, process data from the Federal Employment Agency, aggregated and individual health insurance data. The experiences made in the lidA study, in addition to the data protection needs and the expenditures for the implementation, are summarised as "best practice". The procedure for the application process according to § 75 SGB X, the directive to develop data security concepts, the informed consent for the linkage of personal information are described and the importance of a transparent approach is explained. So far it has been shown that the preparation and approval process for the release of the actual data, both within the project consortium, but also with external parties such as health insurance companies or the responsible data protection officer, requires a major effort. In view of all the identified legal and organisational challenges, our findings should be extremely useful for answering different research questions in the fields of labour market and health services research. In combination with primary data, they may even represent a "gold standard" for epidemiology and health services research. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2012        PMID: 22297825     DOI: 10.1055/s-0031-1301276

Source DB:  PubMed          Journal:  Gesundheitswesen        ISSN: 0941-3790


  5 in total

1.  Cut-off values for the applied version of the Beck Depression Inventory in a general working population.

Authors:  Uwe Rose; Stefanie March; Melanie Ebener; Jean-Baptist du Prel
Journal:  J Occup Med Toxicol       Date:  2015-07-19       Impact factor: 2.646

2.  Cohort profile: the lidA Cohort Study-a German Cohort Study on Work, Age, Health and Work Participation.

Authors:  Hans Martin Hasselhorn; Richard Peter; Angela Rauch; Helmut Schröder; Enno Swart; Stefan Bender; Jean-Baptist du Prel; Melanie Ebener; Stefanie March; Mark Trappmann; Jacob Steinwede; Bernd Hans Müller
Journal:  Int J Epidemiol       Date:  2014-03-11       Impact factor: 7.196

Review 3.  Individual Data Linkage of Survey Data with Claims Data in Germany-An Overview Based on a Cohort Study.

Authors:  Stefanie March
Journal:  Int J Environ Res Public Health       Date:  2017-12-09       Impact factor: 3.390

4.  The prevalence of medical services use. How comparable are the results of large-scale population surveys in Germany?

Authors:  Enno Swart
Journal:  Psychosoc Med       Date:  2012-10-25

5.  Good Practice Data Linkage (GPD): A Translation of the German Version.

Authors:  Stefanie March; Silke Andrich; Johannes Drepper; Dirk Horenkamp-Sonntag; Andrea Icks; Peter Ihle; Joachim Kieschke; Bianca Kollhorst; Birga Maier; Ingo Meyer; Gabriele Müller; Christoph Ohlmeier; Dirk Peschke; Adrian Richter; Marie-Luise Rosenbusch; Nadine Scholten; Mandy Schulz; Christoph Stallmann; Enno Swart; Stefanie Wobbe-Ribinski; Antke Wolter; Jan Zeidler; Falk Hoffmann
Journal:  Int J Environ Res Public Health       Date:  2020-10-27       Impact factor: 3.390

  5 in total

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