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Equity of geographical access to public health facilities in Nepal
INTRODUCTION: Geographical accessibility is important against health equity, particularly for less developed countries as Nepal. It is important to identify the disparities in geographical accessibility to the three levels of public health facilities across Nepal, which has not been available. METHO...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552161/ https://www.ncbi.nlm.nih.gov/pubmed/34706879 http://dx.doi.org/10.1136/bmjgh-2021-006786 |
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author | Cao, Wen-Rui Shakya, Prabin Karmacharya, Biraj Xu, Dong Roman Hao, Yuan-Tao Lai, Ying-Si |
author_facet | Cao, Wen-Rui Shakya, Prabin Karmacharya, Biraj Xu, Dong Roman Hao, Yuan-Tao Lai, Ying-Si |
author_sort | Cao, Wen-Rui |
collection | PubMed |
description | INTRODUCTION: Geographical accessibility is important against health equity, particularly for less developed countries as Nepal. It is important to identify the disparities in geographical accessibility to the three levels of public health facilities across Nepal, which has not been available. METHODS: Based on the up-to-date dataset of Nepal formal public health facilities in 2021, we measured the geographical accessibility by calculating the travel time to the nearest public health facility of three levels (ie, primary, secondary and tertiary) across Nepal at 1×1 km(2) resolution under two travel modes: walking and motorised. Gini and Theil L index were used to assess the inequality. Potential locations of new facilities were identified for best improvement of geographical efficiency or equality. RESULTS: Both geographical accessibility and its equality were better under the motorised mode compared with the walking mode. If motorised transportation is available to everyone, the population coverage within 5 min to any public health facilities would be improved by 62.13%. The population-weighted average travel time was 17.91 min, 39.88 min and 69.23 min and the Gini coefficients 0.03, 0.18 and 0.42 to the nearest primary, secondary and tertiary facilities, respectively, under motorised mode. For primary facilities, low accessibility was found in the northern mountain belt; for secondary facilities, the accessibility decreased with increased distance from the district centres; and for tertiary facilities, low accessibility was found in most areas except the developed areas like zonal centres. The potential locations of new facilities differed for the three levels of facilities. Besides, the majority of inequalities of geographical accessibility were from within-province. CONCLUSION: The high-resolution geographical accessibility maps and the assessment of inequality provide valuable information for health resource allocation and health-related planning in Nepal. |
format | Online Article Text |
id | pubmed-8552161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-85521612021-11-10 Equity of geographical access to public health facilities in Nepal Cao, Wen-Rui Shakya, Prabin Karmacharya, Biraj Xu, Dong Roman Hao, Yuan-Tao Lai, Ying-Si BMJ Glob Health Original Research INTRODUCTION: Geographical accessibility is important against health equity, particularly for less developed countries as Nepal. It is important to identify the disparities in geographical accessibility to the three levels of public health facilities across Nepal, which has not been available. METHODS: Based on the up-to-date dataset of Nepal formal public health facilities in 2021, we measured the geographical accessibility by calculating the travel time to the nearest public health facility of three levels (ie, primary, secondary and tertiary) across Nepal at 1×1 km(2) resolution under two travel modes: walking and motorised. Gini and Theil L index were used to assess the inequality. Potential locations of new facilities were identified for best improvement of geographical efficiency or equality. RESULTS: Both geographical accessibility and its equality were better under the motorised mode compared with the walking mode. If motorised transportation is available to everyone, the population coverage within 5 min to any public health facilities would be improved by 62.13%. The population-weighted average travel time was 17.91 min, 39.88 min and 69.23 min and the Gini coefficients 0.03, 0.18 and 0.42 to the nearest primary, secondary and tertiary facilities, respectively, under motorised mode. For primary facilities, low accessibility was found in the northern mountain belt; for secondary facilities, the accessibility decreased with increased distance from the district centres; and for tertiary facilities, low accessibility was found in most areas except the developed areas like zonal centres. The potential locations of new facilities differed for the three levels of facilities. Besides, the majority of inequalities of geographical accessibility were from within-province. CONCLUSION: The high-resolution geographical accessibility maps and the assessment of inequality provide valuable information for health resource allocation and health-related planning in Nepal. BMJ Publishing Group 2021-10-27 /pmc/articles/PMC8552161/ /pubmed/34706879 http://dx.doi.org/10.1136/bmjgh-2021-006786 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Cao, Wen-Rui Shakya, Prabin Karmacharya, Biraj Xu, Dong Roman Hao, Yuan-Tao Lai, Ying-Si Equity of geographical access to public health facilities in Nepal |
title | Equity of geographical access to public health facilities in Nepal |
title_full | Equity of geographical access to public health facilities in Nepal |
title_fullStr | Equity of geographical access to public health facilities in Nepal |
title_full_unstemmed | Equity of geographical access to public health facilities in Nepal |
title_short | Equity of geographical access to public health facilities in Nepal |
title_sort | equity of geographical access to public health facilities in nepal |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552161/ https://www.ncbi.nlm.nih.gov/pubmed/34706879 http://dx.doi.org/10.1136/bmjgh-2021-006786 |
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