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Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana
BACKGROUND: Geographic barriers to healthcare are associated with adverse maternal health outcomes. Modelling travel times using georeferenced data is becoming common in quantifying physical access. Multiple Demographic and Health Surveys ask women about distance-related problems accessing healthcar...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429654/ https://www.ncbi.nlm.nih.gov/pubmed/36045351 http://dx.doi.org/10.1186/s12884-022-04998-0 |
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author | Dotse-Gborgbortsi, Winfred Nilsen, Kristine Ofosu, Anthony Matthews, Zoë Tejedor-Garavito, Natalia Wright, Jim Tatem, Andrew J. |
author_facet | Dotse-Gborgbortsi, Winfred Nilsen, Kristine Ofosu, Anthony Matthews, Zoë Tejedor-Garavito, Natalia Wright, Jim Tatem, Andrew J. |
author_sort | Dotse-Gborgbortsi, Winfred |
collection | PubMed |
description | BACKGROUND: Geographic barriers to healthcare are associated with adverse maternal health outcomes. Modelling travel times using georeferenced data is becoming common in quantifying physical access. Multiple Demographic and Health Surveys ask women about distance-related problems accessing healthcare, but responses have not been evaluated against modelled travel times. This cross-sectional study aims to compare reported and modelled distance by socio-demographic characteristics and evaluate their relationship with skilled birth attendance. Also, we assess the socio-demographic factors associated with self-reported distance problems in accessing healthcare. METHODS: Distance problems and socio-demographic characteristics reported by 2210 women via the 2017 Ghana Maternal Health Survey were included in analysis. Geospatial methods were used to model travel time to the nearest health facility using roads, rivers, land cover, travel speeds, cluster locations and health facility locations. Logistic regressions were used to predict skilled birth attendance and self-reported distance problems. RESULTS: Women reporting distance challenges accessing healthcare had significantly longer travel times to the nearest health facility. Poverty significantly increased the odds of reporting challenges with distance. In contrast, living in urban areas and being registered with health insurance reduced the odds of reporting distance challenges. Women with a skilled attendant at birth, four or more skilled antenatal appointments and timely skilled postnatal care had shorter travel times to the nearest health facility. Generally, less educated, poor, rural women registered with health insurance had longer travel times to their nearest health facility. After adjusting for socio-demographic characteristics, the following factors increased the odds of skilled birth attendance: wealth, health insurance, higher education, living in urban areas, and completing four or more antenatal care appointments. CONCLUSION: Studies relying on modelled travel times to nearest facility should recognise the differential impact of geographic access to healthcare on poor rural women. Physical access to maternal health care should be scaled up in rural areas and utilisation increased by improving livelihoods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04998-0. |
format | Online Article Text |
id | pubmed-9429654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94296542022-09-01 Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana Dotse-Gborgbortsi, Winfred Nilsen, Kristine Ofosu, Anthony Matthews, Zoë Tejedor-Garavito, Natalia Wright, Jim Tatem, Andrew J. BMC Pregnancy Childbirth Research BACKGROUND: Geographic barriers to healthcare are associated with adverse maternal health outcomes. Modelling travel times using georeferenced data is becoming common in quantifying physical access. Multiple Demographic and Health Surveys ask women about distance-related problems accessing healthcare, but responses have not been evaluated against modelled travel times. This cross-sectional study aims to compare reported and modelled distance by socio-demographic characteristics and evaluate their relationship with skilled birth attendance. Also, we assess the socio-demographic factors associated with self-reported distance problems in accessing healthcare. METHODS: Distance problems and socio-demographic characteristics reported by 2210 women via the 2017 Ghana Maternal Health Survey were included in analysis. Geospatial methods were used to model travel time to the nearest health facility using roads, rivers, land cover, travel speeds, cluster locations and health facility locations. Logistic regressions were used to predict skilled birth attendance and self-reported distance problems. RESULTS: Women reporting distance challenges accessing healthcare had significantly longer travel times to the nearest health facility. Poverty significantly increased the odds of reporting challenges with distance. In contrast, living in urban areas and being registered with health insurance reduced the odds of reporting distance challenges. Women with a skilled attendant at birth, four or more skilled antenatal appointments and timely skilled postnatal care had shorter travel times to the nearest health facility. Generally, less educated, poor, rural women registered with health insurance had longer travel times to their nearest health facility. After adjusting for socio-demographic characteristics, the following factors increased the odds of skilled birth attendance: wealth, health insurance, higher education, living in urban areas, and completing four or more antenatal care appointments. CONCLUSION: Studies relying on modelled travel times to nearest facility should recognise the differential impact of geographic access to healthcare on poor rural women. Physical access to maternal health care should be scaled up in rural areas and utilisation increased by improving livelihoods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04998-0. BioMed Central 2022-08-31 /pmc/articles/PMC9429654/ /pubmed/36045351 http://dx.doi.org/10.1186/s12884-022-04998-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Dotse-Gborgbortsi, Winfred Nilsen, Kristine Ofosu, Anthony Matthews, Zoë Tejedor-Garavito, Natalia Wright, Jim Tatem, Andrew J. Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title | Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title_full | Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title_fullStr | Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title_full_unstemmed | Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title_short | Distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in Ghana |
title_sort | distance is “a big problem”: a geographic analysis of reported and modelled proximity to maternal health services in ghana |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429654/ https://www.ncbi.nlm.nih.gov/pubmed/36045351 http://dx.doi.org/10.1186/s12884-022-04998-0 |
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