Literature DB >> 26826756

Status and perspectives of claims data analyses in Germany-A systematic review.

Kristine Kreis1, Sarah Neubauer2, Mike Klora3, Ansgar Lange4, Jan Zeidler5.   

Abstract

BACKGROUND: The aim of this article is to evaluate the status, development, and perspectives of German claims data analyses in the international and health political context.
METHODS: We conducted a comprehensive literature search in PubMed, Scopus, and DIMDI to identify empirical and methodological articles focusing on health insurance claims data studies published between 2000 and 2014. Inclusion criteria were (1) English/German full text articles or chapters in edited books that (2) focused on the claims data of statutory health insurance funds.
FINDINGS: In total, 435 articles were included. Over time, the number of claims data studies has increased strongly and the frequency of policy-relevant research types increased. Along with the historical improvement path of claims data in Germany, we observed a rising percentage of international publications and an increase in the average quality of publications. In contrast to the US or Canada where comprehensive databases have been established, the most common data source in this search was data from a single SHI fund, while databases were rarely used.
CONCLUSIONS: Claims data are an important source of information for healthcare stakeholders, and their use for research purposes has further increased during recent years in Germany. Despite its potential in optimising the health system, we found a lack of German comprehensive all-payer claims databases compared to the US and Canada.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Administrative data; Claims data analysis; Data source; Germany; Health services research; Statutory health insurance

Mesh:

Year:  2016        PMID: 26826756     DOI: 10.1016/j.healthpol.2016.01.007

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  16 in total

1.  Key considerations when using health insurance claims data in advanced data analyses: an experience report.

Authors:  Renata Konrad; Wenchang Zhang; Margrét Bjarndóttir; Ruben Proaño
Journal:  Health Syst (Basingstoke)       Date:  2019-03-01

2.  Access, use, and challenges of claims data analyses in Germany.

Authors:  Sarah Neubauer; Kristine Kreis; Mike Klora; Jan Zeidler
Journal:  Eur J Health Econ       Date:  2017-06

3.  [Differences in chronic back pain and joint disorders among health insurance funds : Results of a cross-sectional study based on the data of the Socioeconomic Panel from 2013].

Authors:  A Luque Ramos; F Hoffmann
Journal:  Z Rheumatol       Date:  2017-04       Impact factor: 1.372

Review 4.  The use of Japanese long-term care insurance claims in health services research: current status and perspectives.

Authors:  Xueying Jin; Nanako Tamiya
Journal:  Glob Health Med       Date:  2021-06-30

Review 5.  [Reality of care for musculoskeletal diseases at the population level : Results of the PROCLAIR collaborative project. German version].

Authors:  J Callhoff; K Albrecht; F Hoffmann; D Poddubnyy; K-P Günther; A Zink
Journal:  Z Rheumatol       Date:  2019-10       Impact factor: 1.372

6.  How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review.

Authors:  Timo Schulte; Sabine Bohnet-Joschko
Journal:  Int J Integr Care       Date:  2022-06-16       Impact factor: 2.913

7.  The Frequency and Timing of Recurrent Stroke: An Analysis of Routine Health Insurance Data.

Authors:  Jona T Stahmeyer; Sarah Stubenrauch; Siegfried Geyer; Karin Weissenborn; Sveja Eberhard
Journal:  Dtsch Arztebl Int       Date:  2019-10-18       Impact factor: 5.594

8.  Treatment-Related Healthcare Costs of Metastatic Castration-Resistant Prostate Cancer in Germany: A Claims Data Study.

Authors:  Kristine Kreis; Dirk Horenkamp-Sonntag; Udo Schneider; Jan Zeidler; Gerd Glaeske; Lothar Weissbach
Journal:  Pharmacoecon Open       Date:  2021-06

Review 9.  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

Review 10.  Health economic evaluations based on routine data in Germany: a systematic review.

Authors:  Fabia Mareike Gansen
Journal:  BMC Health Serv Res       Date:  2018-04-10       Impact factor: 2.655

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