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

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 WellesleyNataliia Zymak-Zakutnia, Nathalie Lelong, Babak Khoshnood*

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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.

OriginalsprogEngelsk
TidsskriftPaediatric and Perinatal Epidemiology (Print)
Vol/bind34
Udgave nummer2
Sider (fra-til)122-129
ISSN0269-5022
DOI
StatusUdgivet - 1. mar. 2020

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Best, K. E., Rankin, J., Dolk, H., Loane, M., Haeusler, M., Nelen, V., Verellen-Dumoulin, C., Garne, E., Sayers, G., Mullaney, C., O'Mahony, M. T., Gatt, M., De Walle, H., Klungsoyr, K., Carolla, O. M., Cavero-Carbonell, C., Kurinczuk, J. J., Draper, E. S., Tucker, D., ... Khoshnood, B. (2020). Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators. Paediatric and Perinatal Epidemiology (Print), 34(2), 122-129. https://doi.org/10.1111/ppe.12655