ReviewInternational journal of environmental research and public health2017
Individual Data Linkage of Survey Data with Claims Data in Germany-An Overview Based on a Cohort Study.
Review in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- The Lack of a Standardized Definition of Chronic Dialysis Treatment in German Statutory Health Insurance Claims Data—Effects on Estimated Incidence and Mortality.Deutsches Arzteblatt international · 2024Observational
- Linking health survey data with health insurance data: methodology, challenges, opportunities and recommendations for public health research. An experience from the HISlink project in Belgium.Archives of public health = Archives belges de sante publique · 2023Article
- Care reality of menopausal women in Germany: healthcare research using quantitative (SHI claims data) and qualitative (survey) data collection.Archives of gynecology and obstetrics · 2022Article
- Linking cohort-based data with electronic health records: a proof-of-concept methodological study in Hong Kong.BMJ open · 2021Article
- Good Practice Data Linkage (GPD): A Translation of the German Version.International journal of environmental research and public health · 2020Article
- Article
- Digital Oral Medicine for the Elderly.International journal of environmental research and public health · 2020Review
- The Multi-Institutional Health Screening Records Database of South Korea: Description and Evaluation of Its Characteristics.Yonsei medical journal · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research based on health insurance data has a long tradition in Germany. By contrast, data linkage of survey data with such claims data is a relatively new field of research with high potential. Data linkage opens up new opportunities for analyses in the field of health services research and public health. Germany has comprehensive rules and regulations of data protection that have to be followed. Therefore, a written informed consent is needed for individual data linkage. Additionally, the health system is characterized by heterogeneity of health insurance. The lidA-living at work-study is a cohort study on work, age and health, which linked survey data with claims data of a large number of statutory health insurance data. All health insurance funds were contacted, of whom a written consent was given. This paper will give an overview of individual data linkage of survey data with German claims data on the example of the lidA-study results. The challenges and limitations of data linkage will be presented. Despite heterogeneity, such kind of studies is possible with a negligibly small influence of bias. The experience we gain in lidA will be shown and provide important insights for other studies focusing on data linkage.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.