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Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia

The Maluku Province is an underdeveloped region in Indonesia with over 1,340 scattered islands. Due to the limited health facilities and transportation infrastructure, access to healthcare is very challenging. Here, we combined data from various sources to locate the population clusters, health faci...

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Autores principales: Leosari, Yanti, Uelmen, Johnny Albert, Carney, Ryan Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021735/
https://www.ncbi.nlm.nih.gov/pubmed/36963056
http://dx.doi.org/10.1371/journal.pgph.0001600
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author Leosari, Yanti
Uelmen, Johnny Albert
Carney, Ryan Marc
author_facet Leosari, Yanti
Uelmen, Johnny Albert
Carney, Ryan Marc
author_sort Leosari, Yanti
collection PubMed
description The Maluku Province is an underdeveloped region in Indonesia with over 1,340 scattered islands. Due to the limited health facilities and transportation infrastructure, access to healthcare is very challenging. Here, we combined data from various sources to locate the population clusters, health facilities, roads, and ports/docks, and then utilize geographic information systems (GIS) to estimate distances from residents to health facilities. Health workforce distribution data was then integrated to elucidate overall healthcare equity among districts in the province. The average distances to puskesmas (primary health clinics) were 8.89 km (by land) and 18.43 km (by land and water) respectively, and the average distances to hospitals were 56.19 km (by land) and 73.09 km (by land and water), with large disparities within and among districts. Analysis of health workforce data shows that 65% of 207 puskesmas lack physicians, while 49% lack midwives. Ambon, Tual, and Southeast Maluku have the highest health equity, while East Ceram, Buru, and South Buru have the lowest. In general, this study demonstrates the utility of GIS and spatial analyses, which can help identify problem areas in healthcare accessibility and equity in archipelago settings, and provide recommendations to stakeholders such as public health officials and district administrators.
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spelling pubmed-100217352023-03-17 Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia Leosari, Yanti Uelmen, Johnny Albert Carney, Ryan Marc PLOS Glob Public Health Research Article The Maluku Province is an underdeveloped region in Indonesia with over 1,340 scattered islands. Due to the limited health facilities and transportation infrastructure, access to healthcare is very challenging. Here, we combined data from various sources to locate the population clusters, health facilities, roads, and ports/docks, and then utilize geographic information systems (GIS) to estimate distances from residents to health facilities. Health workforce distribution data was then integrated to elucidate overall healthcare equity among districts in the province. The average distances to puskesmas (primary health clinics) were 8.89 km (by land) and 18.43 km (by land and water) respectively, and the average distances to hospitals were 56.19 km (by land) and 73.09 km (by land and water), with large disparities within and among districts. Analysis of health workforce data shows that 65% of 207 puskesmas lack physicians, while 49% lack midwives. Ambon, Tual, and Southeast Maluku have the highest health equity, while East Ceram, Buru, and South Buru have the lowest. In general, this study demonstrates the utility of GIS and spatial analyses, which can help identify problem areas in healthcare accessibility and equity in archipelago settings, and provide recommendations to stakeholders such as public health officials and district administrators. Public Library of Science 2023-03-09 /pmc/articles/PMC10021735/ /pubmed/36963056 http://dx.doi.org/10.1371/journal.pgph.0001600 Text en © 2023 Leosari 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
Leosari, Yanti
Uelmen, Johnny Albert
Carney, Ryan Marc
Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title_full Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title_fullStr Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title_full_unstemmed Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title_short Spatial evaluation of healthcare accessibility across archipelagic communities of Maluku Province, Indonesia
title_sort spatial evaluation of healthcare accessibility across archipelagic communities of maluku province, indonesia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021735/
https://www.ncbi.nlm.nih.gov/pubmed/36963056
http://dx.doi.org/10.1371/journal.pgph.0001600
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