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Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages
OBJECTIVES: This paper presents a geographic information system (GIS)-based proximal area method and gravity method for identifying areas with physician shortages. The innovation of this paper is that it uses the appropriate methods to discover each type of health resource and then integrates all th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047473/ https://www.ncbi.nlm.nih.gov/pubmed/27695105 http://dx.doi.org/10.1371/journal.pone.0163504 |
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author | Xiong, Xuechen Jin, Chao Chen, Haile Luo, Li |
author_facet | Xiong, Xuechen Jin, Chao Chen, Haile Luo, Li |
author_sort | Xiong, Xuechen |
collection | PubMed |
description | OBJECTIVES: This paper presents a geographic information system (GIS)-based proximal area method and gravity method for identifying areas with physician shortages. The innovation of this paper is that it uses the appropriate methods to discover each type of health resource and then integrates all these methods to assess spatial access to health resources using population distribution data. In this way, spatial access to health resources for an entire city can be visualized in one neat package, which can help health policy makers quickly comprehend realistic distributions of health resources at a macro level. METHODS: First, classify health resources according to the trade areas of the patients they serve. Second, apply an appropriate method to each different type of health resource to measure spatial access to those resources. Third, integrate all types of access using population distribution data. RESULTS: In case study of Shanghai with the fusion method, areas with physician shortages are located primarily in suburban districts, especially in district junction areas. The result suggests that the government of Shanghai should pay more attention to these areas by investing in new or relocating existing health resources. CONCLUSION: The fusion method is demonstrated to be more accurate and practicable than using a single method to assess spatial access to health resources. |
format | Online Article Text |
id | pubmed-5047473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50474732016-10-27 Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages Xiong, Xuechen Jin, Chao Chen, Haile Luo, Li PLoS One Research Article OBJECTIVES: This paper presents a geographic information system (GIS)-based proximal area method and gravity method for identifying areas with physician shortages. The innovation of this paper is that it uses the appropriate methods to discover each type of health resource and then integrates all these methods to assess spatial access to health resources using population distribution data. In this way, spatial access to health resources for an entire city can be visualized in one neat package, which can help health policy makers quickly comprehend realistic distributions of health resources at a macro level. METHODS: First, classify health resources according to the trade areas of the patients they serve. Second, apply an appropriate method to each different type of health resource to measure spatial access to those resources. Third, integrate all types of access using population distribution data. RESULTS: In case study of Shanghai with the fusion method, areas with physician shortages are located primarily in suburban districts, especially in district junction areas. The result suggests that the government of Shanghai should pay more attention to these areas by investing in new or relocating existing health resources. CONCLUSION: The fusion method is demonstrated to be more accurate and practicable than using a single method to assess spatial access to health resources. Public Library of Science 2016-10-03 /pmc/articles/PMC5047473/ /pubmed/27695105 http://dx.doi.org/10.1371/journal.pone.0163504 Text en © 2016 Xiong et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Xiong, Xuechen Jin, Chao Chen, Haile Luo, Li Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title | Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title_full | Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title_fullStr | Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title_full_unstemmed | Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title_short | Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages |
title_sort | using the fusion proximal area method and gravity method to identify areas with physician shortages |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5047473/ https://www.ncbi.nlm.nih.gov/pubmed/27695105 http://dx.doi.org/10.1371/journal.pone.0163504 |
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