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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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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. |
format | Online Article Text |
id | pubmed-10021735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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