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The distribution of maternity services across rural and remote Australia: does it reflect population need?
BACKGROUND: Australia has a universal health care system and a comprehensive safety net. Despite this, outcomes for Australians living in rural and remote areas are worse than those living in cities. This study will examine the current state of equity of access to birthing services for women living...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324256/ https://www.ncbi.nlm.nih.gov/pubmed/28231830 http://dx.doi.org/10.1186/s12913-017-2084-8 |
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author | Rolfe, Margaret I Donoghue, Deborah Anne Longman, Jo M Pilcher, Jennifer Kildea, Sue Kruske, Sue Kornelsen, Jude Grzybowski, Stefan Barclay, Lesley Morgan, Geoffrey Gerard |
author_facet | Rolfe, Margaret I Donoghue, Deborah Anne Longman, Jo M Pilcher, Jennifer Kildea, Sue Kruske, Sue Kornelsen, Jude Grzybowski, Stefan Barclay, Lesley Morgan, Geoffrey Gerard |
author_sort | Rolfe, Margaret I |
collection | PubMed |
description | BACKGROUND: Australia has a universal health care system and a comprehensive safety net. Despite this, outcomes for Australians living in rural and remote areas are worse than those living in cities. This study will examine the current state of equity of access to birthing services for women living in small communities in rural and remote Australia from a population perspective and investigates whether services are distributed according to need. METHODS: Health facilities in Australia were identified and a service catchment was determined around each using a one-hour road travel time from that facility. Catchment exclusions: metropolitan areas, populations above 25,000 or below 1,000, and a non-birthing facility within the catchment of one with birthing. Catchments were attributed with population-based characteristics representing need: population size, births, demographic factors, socio-economic status, and a proxy for isolation - the time to the nearest facility providing a caesarean section (C-section). Facilities were dichotomised by service level – those providing birthing services (birthing) or not (no birthing). Birthing services were then divided by C-section provision (C-section vs no C-section birthing). Analysis used two-stage univariable and multivariable logistic regression. RESULTS: There were 259 health facilities identified after exclusions. Comparing services with birthing to no birthing, a population is more likely to have a birthing service if they have more births, (adjusted Odds Ratio (aOR): 1.50 for every 10 births, 95% Confidence Interval (CI) [1.33-1.69]), and a service offering C-sections 1 to 2 h drive away (aOR: 28.7, 95% CI [5.59-148]). Comparing the birthing services categorised by C-section vs no C-section, the likelihood of a facility having a C-section was again positively associated with increasing catchment births and with travel time to another service offering C-sections. Both models demonstrated significant associations with jurisdiction but not socio-economic status. CONCLUSIONS: Our investigation of current birthing services in rural and remote Australia identified disparities in their distribution. Population factors relating to vulnerability and isolation did not increase the likelihood of a local birthing facility, and very remote communities were less likely to have any service. In addition, services are influenced by jurisdictions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2084-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5324256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53242562017-03-01 The distribution of maternity services across rural and remote Australia: does it reflect population need? Rolfe, Margaret I Donoghue, Deborah Anne Longman, Jo M Pilcher, Jennifer Kildea, Sue Kruske, Sue Kornelsen, Jude Grzybowski, Stefan Barclay, Lesley Morgan, Geoffrey Gerard BMC Health Serv Res Research Article BACKGROUND: Australia has a universal health care system and a comprehensive safety net. Despite this, outcomes for Australians living in rural and remote areas are worse than those living in cities. This study will examine the current state of equity of access to birthing services for women living in small communities in rural and remote Australia from a population perspective and investigates whether services are distributed according to need. METHODS: Health facilities in Australia were identified and a service catchment was determined around each using a one-hour road travel time from that facility. Catchment exclusions: metropolitan areas, populations above 25,000 or below 1,000, and a non-birthing facility within the catchment of one with birthing. Catchments were attributed with population-based characteristics representing need: population size, births, demographic factors, socio-economic status, and a proxy for isolation - the time to the nearest facility providing a caesarean section (C-section). Facilities were dichotomised by service level – those providing birthing services (birthing) or not (no birthing). Birthing services were then divided by C-section provision (C-section vs no C-section birthing). Analysis used two-stage univariable and multivariable logistic regression. RESULTS: There were 259 health facilities identified after exclusions. Comparing services with birthing to no birthing, a population is more likely to have a birthing service if they have more births, (adjusted Odds Ratio (aOR): 1.50 for every 10 births, 95% Confidence Interval (CI) [1.33-1.69]), and a service offering C-sections 1 to 2 h drive away (aOR: 28.7, 95% CI [5.59-148]). Comparing the birthing services categorised by C-section vs no C-section, the likelihood of a facility having a C-section was again positively associated with increasing catchment births and with travel time to another service offering C-sections. Both models demonstrated significant associations with jurisdiction but not socio-economic status. CONCLUSIONS: Our investigation of current birthing services in rural and remote Australia identified disparities in their distribution. Population factors relating to vulnerability and isolation did not increase the likelihood of a local birthing facility, and very remote communities were less likely to have any service. In addition, services are influenced by jurisdictions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-017-2084-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-23 /pmc/articles/PMC5324256/ /pubmed/28231830 http://dx.doi.org/10.1186/s12913-017-2084-8 Text en © The Author(s). 2017 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 Rolfe, Margaret I Donoghue, Deborah Anne Longman, Jo M Pilcher, Jennifer Kildea, Sue Kruske, Sue Kornelsen, Jude Grzybowski, Stefan Barclay, Lesley Morgan, Geoffrey Gerard The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title | The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title_full | The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title_fullStr | The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title_full_unstemmed | The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title_short | The distribution of maternity services across rural and remote Australia: does it reflect population need? |
title_sort | distribution of maternity services across rural and remote australia: does it reflect population need? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5324256/ https://www.ncbi.nlm.nih.gov/pubmed/28231830 http://dx.doi.org/10.1186/s12913-017-2084-8 |
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