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The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis

BACKGROUND: Small Canadian rural maternity services are struggling to maintain core staffing and remain open. Existing evidence states that having to travel to access maternity services is associated with adverse outcomes. The goal of this study is to systematically examine rural maternal and newbor...

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Autores principales: Grzybowski, Stefan, Fahey, John, Lai, Barbara, Zhang, Sharon, Aelicks, Nancy, Leung, Brenda M., Stoll, Kathrin, Attenborough, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581105/
https://www.ncbi.nlm.nih.gov/pubmed/26400830
http://dx.doi.org/10.1186/s12913-015-1034-6
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author Grzybowski, Stefan
Fahey, John
Lai, Barbara
Zhang, Sharon
Aelicks, Nancy
Leung, Brenda M.
Stoll, Kathrin
Attenborough, Rebecca
author_facet Grzybowski, Stefan
Fahey, John
Lai, Barbara
Zhang, Sharon
Aelicks, Nancy
Leung, Brenda M.
Stoll, Kathrin
Attenborough, Rebecca
author_sort Grzybowski, Stefan
collection PubMed
description BACKGROUND: Small Canadian rural maternity services are struggling to maintain core staffing and remain open. Existing evidence states that having to travel to access maternity services is associated with adverse outcomes. The goal of this study is to systematically examine rural maternal and newborn outcomes across three Canadian provinces. METHODS: We analyzed maternal newborn outcomes data through provincial perinatal registries in British Columbia, Alberta and Nova Scotia for deliveries that occurred between April 1st 2003 and March 31st 2008. All births were allocated to maternity service catchments based on the residence of the mothers. Individual catchments were stratified to service levels based on distance to access intrapartum maternity services or the model of maternity services available in the community. The amalgamation of analyses from each jurisdiction involved comparison of logistic regression effect estimates. RESULTS: The number of singleton births included in the study is 150,797. Perinatal mortality is highest in communities that are greater than 4 h from maternity services overall. Rates of prematurity at less than 37 weeks gestation are higher for rural women without local access to services. Caesarean section rates are highest in communities served by general surgical models. CONCLUSION: Composite analysis of data from three Canadian provinces provides the strongest evidence to date demonstrating that we need to sustain small community maternity services with and without caesarean section capability.
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spelling pubmed-45811052015-09-25 The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis Grzybowski, Stefan Fahey, John Lai, Barbara Zhang, Sharon Aelicks, Nancy Leung, Brenda M. Stoll, Kathrin Attenborough, Rebecca BMC Health Serv Res Research Article BACKGROUND: Small Canadian rural maternity services are struggling to maintain core staffing and remain open. Existing evidence states that having to travel to access maternity services is associated with adverse outcomes. The goal of this study is to systematically examine rural maternal and newborn outcomes across three Canadian provinces. METHODS: We analyzed maternal newborn outcomes data through provincial perinatal registries in British Columbia, Alberta and Nova Scotia for deliveries that occurred between April 1st 2003 and March 31st 2008. All births were allocated to maternity service catchments based on the residence of the mothers. Individual catchments were stratified to service levels based on distance to access intrapartum maternity services or the model of maternity services available in the community. The amalgamation of analyses from each jurisdiction involved comparison of logistic regression effect estimates. RESULTS: The number of singleton births included in the study is 150,797. Perinatal mortality is highest in communities that are greater than 4 h from maternity services overall. Rates of prematurity at less than 37 weeks gestation are higher for rural women without local access to services. Caesarean section rates are highest in communities served by general surgical models. CONCLUSION: Composite analysis of data from three Canadian provinces provides the strongest evidence to date demonstrating that we need to sustain small community maternity services with and without caesarean section capability. BioMed Central 2015-09-23 /pmc/articles/PMC4581105/ /pubmed/26400830 http://dx.doi.org/10.1186/s12913-015-1034-6 Text en © Grzybowski 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
Grzybowski, Stefan
Fahey, John
Lai, Barbara
Zhang, Sharon
Aelicks, Nancy
Leung, Brenda M.
Stoll, Kathrin
Attenborough, Rebecca
The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title_full The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title_fullStr The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title_full_unstemmed The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title_short The safety of Canadian rural maternity services: a multi-jurisdictional cohort analysis
title_sort safety of canadian rural maternity services: a multi-jurisdictional cohort analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581105/
https://www.ncbi.nlm.nih.gov/pubmed/26400830
http://dx.doi.org/10.1186/s12913-015-1034-6
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