Literature DB >> 26492391

[Different Regions, Differently Insured Populations? Socio-demographic and Health-related Differences Between Insurance Funds].

Falk Hoffmann1, Daniela Koller2.   

Abstract

Objectives: Analyses of health insurance claims data are getting more important in public health and health services research. Since there are several different health insurance funds in Germany, the specific characteristics of regional and socio-demographic population covered by a single fund has to be considered. The aim of this study is to evaluate the differences in socio-demographic and health-related variables between health insurance funds.
Methods: This study is based on the GEDA-Study 2009 and 2010, 2 representative cross-sectional telephone surveys (n=42 534). We included socio-economic factors as well as information on area of residence and health-related variables to health status, health behavior and cardiovascular diseases.
Results: There are fewer privately insured persons in the eastern regions of Germany. Insurants of the public health insurances have a lower socio-economic status and many have a migration background. Similar results can be found for smoking, obesity and cardiovascular factors. These differences between funds were found in many regional analyses. Conclusions: Especially differences in socio-economic factors are constant between insurance funds and regions. Therefore, the results show that analyses of one single health insurance fund cannot be generalized to the whole population. To ensure precise estimates on health services, morbidity or quality monitoring, we need data sets that integrate more funds. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2015        PMID: 26492391     DOI: 10.1055/s-0035-1564074

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


  22 in total

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3.  Adjusting selection bias in German health insurance records for regional prevalence estimation.

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4.  Computed Tomography in Germany.

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5.  Collateral Effects and Mortality of Kidney Transplant Recipients during the COVID-19 Pandemic.

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6.  Generalizability and reach of a randomized controlled trial to improve oral health among home care recipients: comparing participants and nonparticipants at baseline and during follow-up.

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7.  Renal Replacement Therapy in People With and Without Diabetes in Germany, 2010-2016: An Analysis of More Than 25 Million Inhabitants.

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Review 8.  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

9.  The impact of the lookback period and definition of confirmatory events on the identification of incident cancer cases in administrative data.

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Journal:  BMC Med Res Methodol       Date:  2017-08-14       Impact factor: 4.615

10.  Health literacy among pregnant women in a lifestyle intervention trial: protocol for an explorative study on the role of health literacy in the perinatal health service setting.

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Journal:  BMJ Open       Date:  2021-07-01       Impact factor: 2.692

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