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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-Zakutnia
  • Nathalie Lelong, Babak Khoshnood

Research output: Contribution to journalArticlepeer-review

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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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • perinatal mortality
  • termination of pregnancy for foetal anomaly

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