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Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study

BACKGROUND: In a national perinatal health programme, we observed striking heterogeneity in the explanation of the most prominent risks across municipalities. Therefore we explored the separate contribution of several socio-demographic risks on perinatal health inequalities between municipalities an...

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Autores principales: Vos, Amber A., Denktaş, Semiha, Borsboom, Gerard JJM, Bonsel, Gouke J., Steegers, Eric AP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557854/
https://www.ncbi.nlm.nih.gov/pubmed/26330115
http://dx.doi.org/10.1186/s12884-015-0628-7
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author Vos, Amber A.
Denktaş, Semiha
Borsboom, Gerard JJM
Bonsel, Gouke J.
Steegers, Eric AP
author_facet Vos, Amber A.
Denktaş, Semiha
Borsboom, Gerard JJM
Bonsel, Gouke J.
Steegers, Eric AP
author_sort Vos, Amber A.
collection PubMed
description BACKGROUND: In a national perinatal health programme, we observed striking heterogeneity in the explanation of the most prominent risks across municipalities. Therefore we explored the separate contribution of several socio-demographic risks on perinatal health inequalities between municipalities and neighbourhoods. The study aims to identify perinatal health inequalities on the neighbourhood level across the selected municipalities, and to objectify the contribution of socio-demographic risk factors on pregnancy outcomes in each municipality by the application of the population attributable risk concept. METHODS: Population based cohort study (2000–2008). Perinatal outcomes of 352,407 single pregnancies from 15 municipalities were analysed. Odds ratios and population attributable risks were calculated. Main outcomes were combined perinatal morbidity (small-for-gestational age, preterm birth, congenital anomalies, and low Apgar score), and perinatal mortality. RESULTS: Perinatal health inequalities existed on both the municipal and the neighbourhood level. In municipalities, combined perinatal morbidity ranged from 17.3 to 23.6 %, and perinatal mortality ranges from 10.1 to 15.4 ‰. Considerable differences in low socio-economic status between municipalities were apparent, with prevalences ranging from 14.4 to 82.5 %. In seven municipalities, significant differences between neighbourhoods existed for perinatal morbidity (adjusted OR ranging from 1.33 to 2.38) and for perinatal mortality (adjusted OR ranging from 2.06 to 5.59). For some municipalities, socio-demographic risk factors were s a strong predictor for the observed inequalities, but in other municipalities these factors were very weak predictors. If all socio-demographic determinants were set to the most favourable value in a predictive model, combined perinatal morbidity would decrease with 15 to 39 % in these municipalities. CONCLUSIONS: Substantial differences in perinatal morbidity and mortality between municipalities and neighbourhoods exist. Different patterns of inequality suggest differences in etiology. Policy makers and healthcare professionals need to be informed about their local perinatal health profiles in order to introduce antenatal healthcare tailored to the individual and neighbourhood environment.
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spelling pubmed-45578542015-09-03 Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study Vos, Amber A. Denktaş, Semiha Borsboom, Gerard JJM Bonsel, Gouke J. Steegers, Eric AP BMC Pregnancy Childbirth Research Article BACKGROUND: In a national perinatal health programme, we observed striking heterogeneity in the explanation of the most prominent risks across municipalities. Therefore we explored the separate contribution of several socio-demographic risks on perinatal health inequalities between municipalities and neighbourhoods. The study aims to identify perinatal health inequalities on the neighbourhood level across the selected municipalities, and to objectify the contribution of socio-demographic risk factors on pregnancy outcomes in each municipality by the application of the population attributable risk concept. METHODS: Population based cohort study (2000–2008). Perinatal outcomes of 352,407 single pregnancies from 15 municipalities were analysed. Odds ratios and population attributable risks were calculated. Main outcomes were combined perinatal morbidity (small-for-gestational age, preterm birth, congenital anomalies, and low Apgar score), and perinatal mortality. RESULTS: Perinatal health inequalities existed on both the municipal and the neighbourhood level. In municipalities, combined perinatal morbidity ranged from 17.3 to 23.6 %, and perinatal mortality ranges from 10.1 to 15.4 ‰. Considerable differences in low socio-economic status between municipalities were apparent, with prevalences ranging from 14.4 to 82.5 %. In seven municipalities, significant differences between neighbourhoods existed for perinatal morbidity (adjusted OR ranging from 1.33 to 2.38) and for perinatal mortality (adjusted OR ranging from 2.06 to 5.59). For some municipalities, socio-demographic risk factors were s a strong predictor for the observed inequalities, but in other municipalities these factors were very weak predictors. If all socio-demographic determinants were set to the most favourable value in a predictive model, combined perinatal morbidity would decrease with 15 to 39 % in these municipalities. CONCLUSIONS: Substantial differences in perinatal morbidity and mortality between municipalities and neighbourhoods exist. Different patterns of inequality suggest differences in etiology. Policy makers and healthcare professionals need to be informed about their local perinatal health profiles in order to introduce antenatal healthcare tailored to the individual and neighbourhood environment. BioMed Central 2015-09-02 /pmc/articles/PMC4557854/ /pubmed/26330115 http://dx.doi.org/10.1186/s12884-015-0628-7 Text en © Vos et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Vos, Amber A.
Denktaş, Semiha
Borsboom, Gerard JJM
Bonsel, Gouke J.
Steegers, Eric AP
Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title_full Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title_fullStr Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title_full_unstemmed Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title_short Differences in perinatal morbidity and mortality on the neighbourhood level in Dutch municipalities: a population based cohort study
title_sort differences in perinatal morbidity and mortality on the neighbourhood level in dutch municipalities: a population based cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557854/
https://www.ncbi.nlm.nih.gov/pubmed/26330115
http://dx.doi.org/10.1186/s12884-015-0628-7
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