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An interactive geographic information system to inform optimal locations for healthcare services

Large health datasets can provide evidence for the equitable allocation of healthcare resources and access to care. Geographic information systems (GIS) can help to present this data in a useful way, aiding in health service delivery. An interactive GIS was developed for the adult congenital heart d...

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Autores principales: Nicholson, Calum, Hanly, Mark, Celermajer, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166531/
https://www.ncbi.nlm.nih.gov/pubmed/37155602
http://dx.doi.org/10.1371/journal.pdig.0000253
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author Nicholson, Calum
Hanly, Mark
Celermajer, David S.
author_facet Nicholson, Calum
Hanly, Mark
Celermajer, David S.
author_sort Nicholson, Calum
collection PubMed
description Large health datasets can provide evidence for the equitable allocation of healthcare resources and access to care. Geographic information systems (GIS) can help to present this data in a useful way, aiding in health service delivery. An interactive GIS was developed for the adult congenital heart disease service (ACHD) in New South Wales, Australia to demonstrate its feasibility for health service planning. Datasets describing geographic boundaries, area-level demographics, hospital driving times, and the current ACHD patient population were collected, linked, and displayed in an interactive clinic planning tool. The current ACHD service locations were mapped, and tools to compare current and potential locations were provided. Three locations for new clinics in rural areas were selected to demonstrate the application. Introducing new clinics changed the number of rural patients within a 1-hour drive of their nearest clinic from 44·38% to 55.07% (79 patients) and reduced the average driving time from rural areas to the nearest clinic from 2·4 hours to 1·8 hours. The longest driving time was changed from 10·9 hours to 8·9 hours. A de-identified public version of the GIS clinic planning tool is deployed at https://cbdrh.shinyapps.io/ACHD_Dashboard/. This application demonstrates how a freely available and interactive GIS can be used to aid in health service planning. In the context of ACHD, GIS research has shown that adherence to best practice care is impacted by patients’ accessibility to specialist services. This project builds on this research by providing opensource tools to build more accessible healthcare services.
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spelling pubmed-101665312023-05-09 An interactive geographic information system to inform optimal locations for healthcare services Nicholson, Calum Hanly, Mark Celermajer, David S. PLOS Digit Health Research Article Large health datasets can provide evidence for the equitable allocation of healthcare resources and access to care. Geographic information systems (GIS) can help to present this data in a useful way, aiding in health service delivery. An interactive GIS was developed for the adult congenital heart disease service (ACHD) in New South Wales, Australia to demonstrate its feasibility for health service planning. Datasets describing geographic boundaries, area-level demographics, hospital driving times, and the current ACHD patient population were collected, linked, and displayed in an interactive clinic planning tool. The current ACHD service locations were mapped, and tools to compare current and potential locations were provided. Three locations for new clinics in rural areas were selected to demonstrate the application. Introducing new clinics changed the number of rural patients within a 1-hour drive of their nearest clinic from 44·38% to 55.07% (79 patients) and reduced the average driving time from rural areas to the nearest clinic from 2·4 hours to 1·8 hours. The longest driving time was changed from 10·9 hours to 8·9 hours. A de-identified public version of the GIS clinic planning tool is deployed at https://cbdrh.shinyapps.io/ACHD_Dashboard/. This application demonstrates how a freely available and interactive GIS can be used to aid in health service planning. In the context of ACHD, GIS research has shown that adherence to best practice care is impacted by patients’ accessibility to specialist services. This project builds on this research by providing opensource tools to build more accessible healthcare services. Public Library of Science 2023-05-08 /pmc/articles/PMC10166531/ /pubmed/37155602 http://dx.doi.org/10.1371/journal.pdig.0000253 Text en © 2023 Nicholson et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nicholson, Calum
Hanly, Mark
Celermajer, David S.
An interactive geographic information system to inform optimal locations for healthcare services
title An interactive geographic information system to inform optimal locations for healthcare services
title_full An interactive geographic information system to inform optimal locations for healthcare services
title_fullStr An interactive geographic information system to inform optimal locations for healthcare services
title_full_unstemmed An interactive geographic information system to inform optimal locations for healthcare services
title_short An interactive geographic information system to inform optimal locations for healthcare services
title_sort interactive geographic information system to inform optimal locations for healthcare services
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166531/
https://www.ncbi.nlm.nih.gov/pubmed/37155602
http://dx.doi.org/10.1371/journal.pdig.0000253
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