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, Vera Nelen, Christine Verellen-Dumoulin, Ester Garne, Gerardine Sayers, Carmel Mullaney, Mary T O'Mahony, Miriam Gatt, Hermien deWalle, Kari Klungsoyr, Olatz Mokoroa Carolla, Clara Cavero-Carbonell, Jennifer J Kurinczuk, Elizabeth S Draper, David Tucker, Diana Wellesley, Natalya Zymak-ZakutniaNathalie Lelong, Babak Khoshnood

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
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Abstract

Background: Public health organisations use public health indicators to guide health policy. Joint analysis of multiple public health indicators can provide a more compre-hensive understanding of what they are intended to evaluate.

Objective: To analyse variaitons in the prevalence of congenital anomaly-related peri-natal 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 pre-natal 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 anom-aly-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 in-terval [CI] 0.72, 0.86; and IRR 0.88, 95% CI 0.79, 0.97). Modelling TOPFA and prena-tal 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 in-creased. Much of the between-country variation in congenital anomaly-related peri-natal mortality was accounted for by TOPFA, with a smaller proportion accounted for by prenatal diagnosis.
Original languageEnglish
Pages (from-to)122-129
Number of pages8
JournalPaediatric and Perinatal Epidemiology
Volume34
Issue number2
Early online date26 Feb 2020
DOIs
Publication statusPublished (in print/issue) - 1 Mar 2020

Keywords

  • perinatal mortality
  • termination of pregnancy for foetal anomaly

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