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Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana

BACKGROUND: Health service areas are essential for planning, policy and managing public health interventions. In this study, we delineate health service areas from routinely collected health data as a robust geographic basis for presenting access to maternal care indicators. METHODS: A zone design a...

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Autores principales: Dotse-Gborgbortsi, Winfred, Tatem, Andrew J., Matthews, Zoë, Alegana, Victor, Ofosu, Anthony, Wright, Jim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190150/
https://www.ncbi.nlm.nih.gov/pubmed/35698112
http://dx.doi.org/10.1186/s12913-022-08125-9
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author Dotse-Gborgbortsi, Winfred
Tatem, Andrew J.
Matthews, Zoë
Alegana, Victor
Ofosu, Anthony
Wright, Jim
author_facet Dotse-Gborgbortsi, Winfred
Tatem, Andrew J.
Matthews, Zoë
Alegana, Victor
Ofosu, Anthony
Wright, Jim
author_sort Dotse-Gborgbortsi, Winfred
collection PubMed
description BACKGROUND: Health service areas are essential for planning, policy and managing public health interventions. In this study, we delineate health service areas from routinely collected health data as a robust geographic basis for presenting access to maternal care indicators. METHODS: A zone design algorithm was adapted to delineate health service areas through a cross-sectional, ecological study design. Health sub-districts were merged into health service areas such that patient flows across boundaries were minimised. Delineated zones and existing administrative boundaries were used to provide estimates of access to maternal health services. We analysed secondary data comprising routinely collected health records from 32,921 women attending 27 hospitals to give birth, spatial demographic data, a service provision assessment on the quality of maternal healthcare and health sub-district boundaries from Eastern Region, Ghana. RESULTS: Clear patterns of cross border movement to give birth emerged from the analysis, but more women originated closer to the hospitals. After merging the 250 sub-districts in 33 districts, 11 health service areas were created. The minimum percent of internal flows of women giving birth within any health service area was 97.4%. Because the newly delineated boundaries are more “natural” and sensitive to observed flow patterns, when we calculated areal indicator estimates, they showed a marked improvement over the existing administrative boundaries, with the inclusion of a hospital in every health service area. CONCLUSION: Health planning can be improved by using routine health data to delineate natural catchment health districts. In addition, data-driven geographic boundaries derived from public health events will improve areal health indicator estimates, planning and interventions.
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spelling pubmed-91901502022-06-14 Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana Dotse-Gborgbortsi, Winfred Tatem, Andrew J. Matthews, Zoë Alegana, Victor Ofosu, Anthony Wright, Jim BMC Health Serv Res Research BACKGROUND: Health service areas are essential for planning, policy and managing public health interventions. In this study, we delineate health service areas from routinely collected health data as a robust geographic basis for presenting access to maternal care indicators. METHODS: A zone design algorithm was adapted to delineate health service areas through a cross-sectional, ecological study design. Health sub-districts were merged into health service areas such that patient flows across boundaries were minimised. Delineated zones and existing administrative boundaries were used to provide estimates of access to maternal health services. We analysed secondary data comprising routinely collected health records from 32,921 women attending 27 hospitals to give birth, spatial demographic data, a service provision assessment on the quality of maternal healthcare and health sub-district boundaries from Eastern Region, Ghana. RESULTS: Clear patterns of cross border movement to give birth emerged from the analysis, but more women originated closer to the hospitals. After merging the 250 sub-districts in 33 districts, 11 health service areas were created. The minimum percent of internal flows of women giving birth within any health service area was 97.4%. Because the newly delineated boundaries are more “natural” and sensitive to observed flow patterns, when we calculated areal indicator estimates, they showed a marked improvement over the existing administrative boundaries, with the inclusion of a hospital in every health service area. CONCLUSION: Health planning can be improved by using routine health data to delineate natural catchment health districts. In addition, data-driven geographic boundaries derived from public health events will improve areal health indicator estimates, planning and interventions. BioMed Central 2022-06-13 /pmc/articles/PMC9190150/ /pubmed/35698112 http://dx.doi.org/10.1186/s12913-022-08125-9 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
Tatem, Andrew J.
Matthews, Zoë
Alegana, Victor
Ofosu, Anthony
Wright, Jim
Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title_full Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title_fullStr Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title_full_unstemmed Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title_short Delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in Ghana
title_sort delineating natural catchment health districts with routinely collected health data from women’s travel to give birth in ghana
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9190150/
https://www.ncbi.nlm.nih.gov/pubmed/35698112
http://dx.doi.org/10.1186/s12913-022-08125-9
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