Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen
Abstract The unbalanced allocation of healthcare resources is a major challenge that hinders access to healthcare. Taking Shenzhen as an example, this study aimed to enhance equity in obtaining healthcare services, through measuring and visualizing the spatial accessibility of community healthcare c...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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American Geophysical Union (AGU)
2023-05-01
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| Series: | GeoHealth |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2022GH000753 |
| _version_ | 1797819835827093504 |
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| author | Liutong Chen Huatang Zeng Liqun Wu Qiannan Tian Ning Zhang Rongxin He Hao Xue Junyao Zheng Jinlin Liu Fengchao Liang Bin Zhu |
| author_facet | Liutong Chen Huatang Zeng Liqun Wu Qiannan Tian Ning Zhang Rongxin He Hao Xue Junyao Zheng Jinlin Liu Fengchao Liang Bin Zhu |
| author_sort | Liutong Chen |
| collection | DOAJ |
| description | Abstract The unbalanced allocation of healthcare resources is a major challenge that hinders access to healthcare. Taking Shenzhen as an example, this study aimed to enhance equity in obtaining healthcare services, through measuring and visualizing the spatial accessibility of community healthcare centers (CHC), and optimizing CHC geospatial allocation. We used the number of health technicians per 10,000 to represent the CHC's service capacity, combined with resident points and census data to calculate the population the CHC needs to carry, and then analyzed the accessibility based on the Gaussian two‐step floating catchment area method. In 2020, five regions in Shenzhen had better spatial accessibility scores: Nanshan (0.250), Luohu (0.246), Futian (0.244), Dapeng (0.226), and Yantian (0.196). The spatial accessibility of CHCs shows a gradual decrease from the city center to the edge, which is affected by economic and topographic factors. With the support of the maximal covering location problem model, we selected up to 567 candidate locations for the new CHC, which could improve Shenzhen's accessibility score from 0.189 to 0.361 and increase the coverage population by 63.46% within a 15‐min impedance. By introducing spatial techniques and maps, this study provides (a) new evidence for promoting equitable access to primary healthcare services in Shenzhen and (b) a foundation for improving the accessibility of public service facilities in other areas. |
| first_indexed | 2024-03-13T09:28:29Z |
| format | Article |
| id | doaj.art-b2f814782e864976827afae30fb4703e |
| institution | Directory Open Access Journal |
| issn | 2471-1403 |
| language | English |
| last_indexed | 2024-03-13T09:28:29Z |
| publishDate | 2023-05-01 |
| publisher | American Geophysical Union (AGU) |
| record_format | Article |
| series | GeoHealth |
| spelling | doaj.art-b2f814782e864976827afae30fb4703e2023-05-26T05:18:03ZengAmerican Geophysical Union (AGU)GeoHealth2471-14032023-05-0175n/an/a10.1029/2022GH000753Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of ShenzhenLiutong Chen0Huatang Zeng1Liqun Wu2Qiannan Tian3Ning Zhang4Rongxin He5Hao Xue6Junyao Zheng7Jinlin Liu8Fengchao Liang9Bin Zhu10School of Public Health and Emergency Management Southern University of Science and Technology Shenzhen ChinaShenzhen Health Development Research and Data Management Center Shenzhen ChinaShenzhen Health Development Research and Data Management Center Shenzhen ChinaShenzhen Health Development Research and Data Management Center Shenzhen ChinaSchool of Public Policy and Administration Xi'an Jiaotong University Xi'an ChinaVanke School of Public Health Tsinghua University Beijing ChinaStanford Center on China's Economy and Institutions Stanford University Stanford CA USAChina Institute for Urban Governance Shanghai Jiao Tong University Shanghai ChinaSchool of Public Policy and Administration Northwestern Polytechnical University Xi'an ChinaSchool of Public Health and Emergency Management Southern University of Science and Technology Shenzhen ChinaSchool of Public Health and Emergency Management Southern University of Science and Technology Shenzhen ChinaAbstract The unbalanced allocation of healthcare resources is a major challenge that hinders access to healthcare. Taking Shenzhen as an example, this study aimed to enhance equity in obtaining healthcare services, through measuring and visualizing the spatial accessibility of community healthcare centers (CHC), and optimizing CHC geospatial allocation. We used the number of health technicians per 10,000 to represent the CHC's service capacity, combined with resident points and census data to calculate the population the CHC needs to carry, and then analyzed the accessibility based on the Gaussian two‐step floating catchment area method. In 2020, five regions in Shenzhen had better spatial accessibility scores: Nanshan (0.250), Luohu (0.246), Futian (0.244), Dapeng (0.226), and Yantian (0.196). The spatial accessibility of CHCs shows a gradual decrease from the city center to the edge, which is affected by economic and topographic factors. With the support of the maximal covering location problem model, we selected up to 567 candidate locations for the new CHC, which could improve Shenzhen's accessibility score from 0.189 to 0.361 and increase the coverage population by 63.46% within a 15‐min impedance. By introducing spatial techniques and maps, this study provides (a) new evidence for promoting equitable access to primary healthcare services in Shenzhen and (b) a foundation for improving the accessibility of public service facilities in other areas.https://doi.org/10.1029/2022GH000753primary health carespatial accessibilityGaussian two‐step floating catchment arealocation optimization |
| spellingShingle | Liutong Chen Huatang Zeng Liqun Wu Qiannan Tian Ning Zhang Rongxin He Hao Xue Junyao Zheng Jinlin Liu Fengchao Liang Bin Zhu Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen GeoHealth primary health care spatial accessibility Gaussian two‐step floating catchment area location optimization |
| title | Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen |
| title_full | Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen |
| title_fullStr | Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen |
| title_full_unstemmed | Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen |
| title_short | Spatial Accessibility Evaluation and Location Optimization of Primary Healthcare in China: A Case Study of Shenzhen |
| title_sort | spatial accessibility evaluation and location optimization of primary healthcare in china a case study of shenzhen |
| topic | primary health care spatial accessibility Gaussian two‐step floating catchment area location optimization |
| url | https://doi.org/10.1029/2022GH000753 |
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