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Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators
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 anom...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064886/ https://www.ncbi.nlm.nih.gov/pubmed/32101337 http://dx.doi.org/10.1111/ppe.12655 |
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author | Best, Kate E. Rankin, Judith Dolk, Helen Loane, Maria Haeusler, Martin Nelen, Vera Verellen‐Dumoulin, Christine Garne, Ester Sayers, Gerardine Mullaney, Carmel O'Mahony, Mary T. Gatt, Miriam De Walle, Hermien Klungsoyr, Kari Carolla, Olatz Mokoroa Cavero‐Carbonell, Clara Kurinczuk, Jennifer J. Draper, Elizabeth S. Tucker, David Wellesley, Diana Zymak‐Zakutnia, Nataliia Lelong, Nathalie Khoshnood, Babak |
author_facet | Best, Kate E. Rankin, Judith Dolk, Helen Loane, Maria Haeusler, Martin Nelen, Vera Verellen‐Dumoulin, Christine Garne, Ester Sayers, Gerardine Mullaney, Carmel O'Mahony, Mary T. Gatt, Miriam De Walle, Hermien Klungsoyr, Kari Carolla, Olatz Mokoroa Cavero‐Carbonell, Clara Kurinczuk, Jennifer J. Draper, Elizabeth S. Tucker, David Wellesley, Diana Zymak‐Zakutnia, Nataliia Lelong, Nathalie Khoshnood, Babak |
author_sort | Best, Kate E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7064886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70648862020-03-16 Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators Best, Kate E. Rankin, Judith Dolk, Helen Loane, Maria Haeusler, Martin Nelen, Vera Verellen‐Dumoulin, Christine Garne, Ester Sayers, Gerardine Mullaney, Carmel O'Mahony, Mary T. Gatt, Miriam De Walle, Hermien Klungsoyr, Kari Carolla, Olatz Mokoroa Cavero‐Carbonell, Clara Kurinczuk, Jennifer J. Draper, Elizabeth S. Tucker, David Wellesley, Diana Zymak‐Zakutnia, Nataliia Lelong, Nathalie Khoshnood, Babak Paediatr Perinat Epidemiol Congenital Anomalies 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. John Wiley and Sons Inc. 2020-02-26 2020-03 /pmc/articles/PMC7064886/ /pubmed/32101337 http://dx.doi.org/10.1111/ppe.12655 Text en © 2020 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Congenital Anomalies Best, Kate E. Rankin, Judith Dolk, Helen Loane, Maria Haeusler, Martin Nelen, Vera Verellen‐Dumoulin, Christine Garne, Ester Sayers, Gerardine Mullaney, Carmel O'Mahony, Mary T. Gatt, Miriam De Walle, Hermien Klungsoyr, Kari Carolla, Olatz Mokoroa Cavero‐Carbonell, Clara Kurinczuk, Jennifer J. Draper, Elizabeth S. Tucker, David Wellesley, Diana Zymak‐Zakutnia, Nataliia Lelong, Nathalie Khoshnood, Babak Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title | Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title_full | Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title_fullStr | Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title_full_unstemmed | Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title_short | Multilevel analyses of related public health indicators: The European Surveillance of Congenital Anomalies (EUROCAT) Public Health Indicators |
title_sort | multilevel analyses of related public health indicators: the european surveillance of congenital anomalies (eurocat) public health indicators |
topic | Congenital Anomalies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064886/ https://www.ncbi.nlm.nih.gov/pubmed/32101337 http://dx.doi.org/10.1111/ppe.12655 |
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