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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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