Literature DB >> 20446216

[Determination of vaccination coverage and disease incidence using statutory health insurance data].

A Reuss1, M Feig, L Kappelmayer, T Eckmanns, G Poggensee.   

Abstract

BACKGROUND: The KV-Sentinel, established in 2004, is a joint project of the Robert Koch Institute and the 17 associations of statutory health insurance physicians (ASHIPs) in Germany. The ASHIPs provide anonymous physicians billing data to the Robert Koch Institute. The aim of this article is to describe methodological approaches for processing these routine data to determine vaccination coverage and incidence of vaccine preventable diseases. Furthermore, we discuss limitations in interpreting these data.
METHODS: The ASHIPs perform a data query of all vaccinations and of ICD-10 codes for pertussis, measles, mumps, varicella and herpes zoster and send anonymous data to the Robert Koch Institute. We perform routine tests to ensure data quality. Study population is the statutory health insured population (85.5% of the German population). Vaccination coverage is determined by the number of vaccinated persons and the number of statutory health insured persons. Incidence is calculated by the number of diseased persons per 100 000 statutory health insured persons.
RESULTS: All 17 ASHIPs participate in the project. In total, 95 905 605 data records for vaccinations and 4 570 919 data records for pertussis, measles, mumps, varicella and herpes zoster were provided from 2004 to 2007. After performing routine tests with regard to structure and content of data, more than 99% of the data records can be analysed. In 2007, the majority of given vaccinations were monovalent vaccinations against influenza (39%) and tick-borne encephalitis (17%). In 2006 and 2007, 1 893 790 data records for diagnoses were provided. Of these, 75% were acute diagnoses and of these 70% were confirmed diagnoses. Most often, ICD-10 codes for herpes zoster (57%) and varicella (35%) were reported.
CONCLUSION: Nationwide vaccination coverage of statutory health insured persons by age group can be determined by using billing data. It is possible to validate billing data of vaccinations with available data from other studies. Interpretation of billing data of acute vaccine preventable diseases remains challenging because it is difficult to assess potential under- or overestimation without the possibility of external validation. Therefore, further research is needed. Georg Thieme Verlag KG Stuttgart * New York.

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Year:  2010        PMID: 20446216     DOI: 10.1055/s-0030-1249691

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


  6 in total

1.  Varicella vaccination coverage of children under two years of age in Germany.

Authors:  Annicka M Reuss; Marcel Feig; Lutz Kappelmayer; Anette Siedler; Tim Eckmanns; Gabriele Poggensee
Journal:  BMC Public Health       Date:  2010-08-19       Impact factor: 3.295

2.  Immunization rates at the school entry in 2012.

Authors:  Martin Weigel; Roswitha Bruns; Kerstin Weitmann; Wolfgang Hoffmann
Journal:  Dtsch Arztebl Int       Date:  2014-11-14       Impact factor: 5.594

3.  Influenza vaccination coverage in the 2004/05, 2005/06, and 2006/07 seasons: a secondary data analysis based on billing data of the German associations of statutory health insurance physicians.

Authors:  Annicka M Reuss; Dietmar Walter; Marcel Feig; Lutz Kappelmayer; Udo Buchholz; Tim Eckmanns; Gabriele Poggensee
Journal:  Dtsch Arztebl Int       Date:  2010-12-03       Impact factor: 5.594

4.  Under-reporting of measles: an evaluation based on data from north rhine-westphalia.

Authors:  Annedore Mette; Annicka M Reuss; Marcel Feig; Lutz Kappelmayer; Anette Siedler; Tim Eckmanns; Gabriele Poggensee
Journal:  Dtsch Arztebl Int       Date:  2011-03-25       Impact factor: 5.594

5.  Burden of influenza in Germany: a retrospective claims database analysis for the influenza season 2012/2013.

Authors:  Jennifer Haas; Sebastian Braun; Peter Wutzler
Journal:  Eur J Health Econ       Date:  2015-07-05

6.  Vaccination coverage among children in Germany estimated by analysis of health insurance claims data.

Authors:  Thorsten Rieck; Marcel Feig; Tim Eckmanns; Justus Benzler; Anette Siedler; Ole Wichmann
Journal:  Hum Vaccin Immunother       Date:  2013-11-05       Impact factor: 3.452

  6 in total

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