University of Leicester
Browse

Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators.

Download (457.95 kB)
Version 2 2020-05-20, 14:27
Version 1 2020-05-20, 14:26
journal contribution
posted on 2020-05-20, 14:27 authored by Kate E Best, Judith Rankin, Helen Dolk, Maria Loane, Martin Haeusler, Vera Nelen, Christine Verellen-Dumoulin, Ester Garne, Gerardine Sayers, Carmel Mullaney, Mary T O'Mahony, Miriam Gatt, Hermien De Walle, Kari Klungsoyr, Olatz Mokoroa Carolla, Clara Cavero-Carbonell, Jennifer J Kurinczuk, Elizabeth S Draper, David Tucker, Diana Wellesley, Nataliia Zymak-Zakutnia, Nathalie Lelong, Babak Khoshnood
BACKGROUND:Public health organisations use public health indicators to guide health policy. Joint analysis of multiple public health indicators can provide a more comprehensive understanding of what they are intended to evaluate. OBJECTIVE:To analyse variaitons in the prevalence of congenital anomaly-related perinatal mortality attributable to termination of pregnancy for foetal anomaly (TOPFA) and prenatal diagnosis of congenital anomaly prevalence. METHODS:We included 55 363 cases of congenital anomalies notified to 18 EUROCAT registers in 10 countries during 2008-12. Incidence rate ratios (IRR) representing the risk of congenital anomaly-related perinatal mortality according to TOPFA and prenatal diagnosis prevalence were estimated using multilevel Poisson regression with country as a random effect. Between-country variation in congenital anomaly-related perinatal mortality was measured using random effects and compared between the null and adjusted models to estimate the percentage of variation in congenital anomaly-related perinatal mortality accounted for by TOPFA and prenatal diagnosis. RESULTS:The risk of congenital anomaly-related perinatal mortality decreased as TOPFA and prenatal diagnosis prevalence increased (IRR 0.79, 95% confidence interval [CI] 0.72, 0.86; and IRR 0.88, 95% CI 0.79, 0.97). Modelling TOPFA and prenatal diagnosis together, the association between congenital anomaly-related perinatal mortality and TOPFA prevalence became stronger (RR 0.70, 95% CI 0.61, 0.81). The prevalence of TOPFA and prenatal diagnosis accounted for 75.5% and 37.7% of the between-country variation in perinatal mortality, respectively. CONCLUSION:We demonstrated an approach for analysing inter-linked public health indicators. In this example, as TOPFA and prenatal diagnosis of congenital anomaly prevalence decreased, the risk of congenital anomaly-related perinatal mortality increased. Much of the between-country variation in congenital anomaly-related perinatal mortality was accounted for by TOPFA, with a smaller proportion accounted for by prenatal diagnosis.

Funding

KEB was funded by Public Health England and the Newcastle University Wellcome Trust Institutional Strategic Support Fund, Small grant offering (specialist skills and knowledge).

History

Citation

Best, KE, Rankin, J, Dolk, H, et al. Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators. Paediatr Perinat Epidemiol. 2020; 34: 122– 129. https://doi.org/10.1111/ppe.12655

Version

  • VoR (Version of Record)

Published in

Paediatric and perinatal epidemiology

Volume

34

Issue

2

Pagination

122 - 129

Publisher

Wiley

issn

0269-5022

eissn

1365-3016

Acceptance date

2020-01-21

Copyright date

2020

Language

eng

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC