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Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation
Equity in accessible healthcare is crucial for measuring health equity in community care policy. The most important objective of such a policy in Taiwan is empowering people and communities by improving health literacy and increasing access to healthcare resources. Using the nearest-neighbor two-ste...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908105/ https://www.ncbi.nlm.nih.gov/pubmed/33525529 http://dx.doi.org/10.3390/ijerph18031153 |
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author | Tseng, Ming-Hseng Wu, Hui-Ching |
author_facet | Tseng, Ming-Hseng Wu, Hui-Ching |
author_sort | Tseng, Ming-Hseng |
collection | PubMed |
description | Equity in accessible healthcare is crucial for measuring health equity in community care policy. The most important objective of such a policy in Taiwan is empowering people and communities by improving health literacy and increasing access to healthcare resources. Using the nearest-neighbor two-step floating catchment area method, this study performed an accessibility assessment for community care resources before and after supply capacity optimization. For the target of maximum equity when allocating community care resources, taking maximum values, mean values and minimum values of the distances into consideration, three analytical allocation solutions for supply capability optimization were derived to further compare disparities in geographical accessibility. Three indicators, namely, the Gini coefficient, median minus mean and mean-squared error, were employed to assess the degree of optimization of geographical accessibility scores at the locations of the demand population and to determine the degree of geographic inequities in the allocation of community care resources. Our study proposed a method in which the minimum value of the distance is adopted as the approximate representation of distances between the service point and the locations of demand to determine the minimum value for supply capacity optimization. The study found that the method can effectively assess inequities in care resource allocation among urban and rural communities. |
format | Online Article Text |
id | pubmed-7908105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79081052021-02-27 Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation Tseng, Ming-Hseng Wu, Hui-Ching Int J Environ Res Public Health Article Equity in accessible healthcare is crucial for measuring health equity in community care policy. The most important objective of such a policy in Taiwan is empowering people and communities by improving health literacy and increasing access to healthcare resources. Using the nearest-neighbor two-step floating catchment area method, this study performed an accessibility assessment for community care resources before and after supply capacity optimization. For the target of maximum equity when allocating community care resources, taking maximum values, mean values and minimum values of the distances into consideration, three analytical allocation solutions for supply capability optimization were derived to further compare disparities in geographical accessibility. Three indicators, namely, the Gini coefficient, median minus mean and mean-squared error, were employed to assess the degree of optimization of geographical accessibility scores at the locations of the demand population and to determine the degree of geographic inequities in the allocation of community care resources. Our study proposed a method in which the minimum value of the distance is adopted as the approximate representation of distances between the service point and the locations of demand to determine the minimum value for supply capacity optimization. The study found that the method can effectively assess inequities in care resource allocation among urban and rural communities. MDPI 2021-01-28 2021-02 /pmc/articles/PMC7908105/ /pubmed/33525529 http://dx.doi.org/10.3390/ijerph18031153 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tseng, Ming-Hseng Wu, Hui-Ching Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title | Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title_full | Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title_fullStr | Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title_full_unstemmed | Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title_short | Accessibility Assessment of Community Care Resources Using Maximum-Equity Optimization of Supply Capacity Allocation |
title_sort | accessibility assessment of community care resources using maximum-equity optimization of supply capacity allocation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908105/ https://www.ncbi.nlm.nih.gov/pubmed/33525529 http://dx.doi.org/10.3390/ijerph18031153 |
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