Unterschiede bei Gesundheitsrisiken, Morbidität und gesundheitlicher Versorgung zwischen Kindern GKV- bzw. PKV-versicherter Eltern: Ergebnisse aus dem Kinder- und Jugendgesundheitssurvey (KiGGS)

Huber, Johanna; Lampert, Thomas; Mielck, Andreas

doi:10.1055/s-0031-1301268

Cited by 22 publications

(14 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Both statutory and private health insurances fully reimburse recommended vaccinations. The authors of a large population-based cross-sectional study found no difference in the proportions of undervaccinated children when comparing children from parents with statutory and private health insurance [36]. Thus, we assume comparable VC and VE in children not covered by the IIS.…”

Section: Discussionmentioning

confidence: 87%

Assessing varicella vaccine effectiveness and its influencing factors using health insurance claims data, Germany, 2006 to 2015

et al. 2017

View full text Add to dashboard Cite

In Germany, routine childhood varicella vaccination was implemented in 2004 with two doses recommended since 2009. We used an immunisation information system based on countrywide health insurance claims data to analyse vaccine effectiveness (VE) and factors influencing VE. We applied proportional hazard models to estimate VE under various conditions and compared the risk of acquiring varicella among unvaccinated children in regions with high vs low vaccination coverage (VC). Among 1.4 million children we identified 29,404 varicella cases over a maximum follow-up of 8 years post-vaccination. One-dose VE was 81.9% (95% confidence interval (CI): 81.4–82.5), two-dose VE 94.4% (95% CI: 94.2–94.6). With dose one given 1–27 days after measles-containing vaccine (MCV), one-dose VE was 32.2% (95% CI: 10.4–48.6), two-dose VE 92.8% (95% CI: 84.8–96.6). VE was not associated with age at vaccination (11–14 vs ≥ 15 months), time since vaccination, or vaccine type. Unvaccinated children had a twofold higher risk of acquiring varicella in low VC regions. Our system generated valuable data, showing that two-dose varicella vaccination provides good protection for at least 8 years. Unvaccinated children benefit from herd effects. When the first varicella vaccine dose is given shortly after MCV, a second dose is essential.

show abstract

Section: Discussionmentioning

confidence: 87%

Assessing varicella vaccine effectiveness and its influencing factors using health insurance claims data, Germany, 2006 to 2015

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Insgesamt fanden sich Unterschiede hinsichtlich soziodemografischer und gesundheitsbezogener Merkmale nicht nur zwischen PKV und GKV, sondern es zeigt sich häufig ein Gradient zwischen der AOK, sonstigen gesetzlich und privat Versicherten. In der Forschung zur sozialer Ungleichheit hat man sich bisher hingegen nahezu ausschließlich auf Unterschiede zwischen GKV und PKV konzentriert [68][69][70][71][72][73]. Auch wenn eine noch detailliertere Auswertung oftmals durch zu kleine Fallzahlen erschwert wird, dürfte eine zusätzliche Unterscheidung der AOK in jedem Fall möglich sein.…”

Section: Implikationen Für Die Forschung Zu Sozialen Und Regionalen Uunclassified

Verschiedene Regionen, verschiedene Versichertenpopulationen? Soziodemografische und gesundheitsbezogene Unterschiede zwischen Krankenkassen

Hoffmann

Koller²

2015

Gesundheitswesen

View full text Add to dashboard Cite

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. 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. 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. 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.

show abstract

“…In this regard, the authors of a bivariate and multivariate analysis in a population-based cross-sectional study found no difference in proportions of undervaccinated children from statutorily and privately health insured parents. 19 Our sampling method for the analysis of ASHIP data excludes individuals with potential suboptimal VC such as children who receive their first vaccination very late or children of parents who completely refuse vaccinations. In addition, mobile groups like Roma/Sinti populations that are difficult to be reached by standard immunization programs 20 are also possibly underrepresented in our approach resulting in a potentially positive sampling bias and a slight VC overestimation.…”

Section: Discussionmentioning

confidence: 99%

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

Rieck

Feig

Eckmanns

et al. 2013

Human Vaccines & Immunotherapeutics

View full text Add to dashboard Cite

In Germany, the national routine childhood immunization schedule comprises 12 vaccinations. Primary immunizations should be completed by 24 mo of age. However, nationwide monitoring of vaccination coverage (VC) is performed only at school entry. We utilized health insurance claims data covering ~85% of the total population with the objectives to (1) assess VC of all recommended childhood vaccinations in birth-cohorts 2004–2009, (2) analyze cross-sectional (at 24 and 36 mo) and longitudinal trends, and (3) validate the method internally and externally. Counting vaccine doses in a retrospective cohort fashion, we assembled individual vaccination histories and summarized VC to nationwide figures. For most long-established vaccinations, VC at 24 mo was at moderate levels (~73–80%) and increased slightly across birth-cohorts. One dose measles VC was high (94%), but low (69%) for the second dose. VC with a full course of recently introduced varicella, pneumococcal, and meningococcal C vaccines increased across birth-cohorts from below 10% above 60%, 70%, and 80%, respectively. At 36 mo, VC had increased further by up to 15 percentage points depending on vaccination. Longitudinal analysis suggested a continued VC increase until school entry. Validation of VC figures with primary data showed an overall good agreement. In conclusion, analysis of health insurance claims data allows for the estimation of VC among children in Germany considering completeness and timeliness of vaccination series. This approach provides valid nationwide VC figures for all currently recommended pediatric vaccinations and fills the information gap between early infancy and late assessment at school entry.

show abstract

Unterschiede bei Gesundheitsrisiken, Morbidität und gesundheitlicher Versorgung zwischen Kindern GKV- bzw. PKV-versicherter Eltern: Ergebnisse aus dem Kinder- und Jugendgesundheitssurvey (KiGGS)

Cited by 22 publications

References 12 publications

Assessing varicella vaccine effectiveness and its influencing factors using health insurance claims data, Germany, 2006 to 2015

Assessing varicella vaccine effectiveness and its influencing factors using health insurance claims data, Germany, 2006 to 2015

Verschiedene Regionen, verschiedene Versichertenpopulationen? Soziodemografische und gesundheitsbezogene Unterschiede zwischen Krankenkassen

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

Contact Info

Product

Resources

About