Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
Geographical accessibility is important for promoting health equity, and calculating it requires the locations of all existing healthcare facilities in a region. Authoritative location data collected by governments is accurate but mostly not publicly available, while point-of-interest (POI) data fr...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2024-12-01
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| Series: | Geospatial Health |
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| Online Access: | https://www.geospatialhealth.net/gh/article/view/1322 |
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| author | Heng-Qian Huang-fu Nan Zhang Li Wang Hui-Juan Liang Ben-Song Xian Xiao-Fang Gan Yingsi Lai |
| author_facet | Heng-Qian Huang-fu Nan Zhang Li Wang Hui-Juan Liang Ben-Song Xian Xiao-Fang Gan Yingsi Lai |
| author_sort | Heng-Qian Huang-fu |
| collection | DOAJ |
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Geographical accessibility is important for promoting health equity, and calculating it requires the locations of all existing healthcare facilities in a region. Authoritative location data collected by governments is accurate but mostly not publicly available, while point-of-interest (POI) data from online sources, such as Baidu Maps and AutoNavi Maps are easily accessible. However, the accuracy of the latter has not been thoroughly analyzed. Taking Baotou, a medium-sized city in China, as aneample, we assessed the suitability of using POI data for measuring geographic accessibility to healthcare facilities.We computedthe difference of geographic accessibility calculated based on POI data and that on authoritative data.Logistic regression and a multiple linear regression model was applied to identify factors related to the consistency between the two data sources. Compared to authoritative data, POI data exhibited discrepancies, with completeness of 54.9% and accuracy of 63.7%. Geographic accessibility calculated based on both data showed similar patterns, with good consistency for hospitals and in urban areas. However, large differences (>30 minutes) were shown in rural areas for primary healthcare facilities. The differences were small regarding to population- weighted average accessibility (with slight underestimation of 3.07 minutes) and population coverage across various levels of accessibility (with differences less than 1% of the population) for the entire area. In conclusion, POI data can be considered foruse in both urban areas and at the level of entire city; however, awareness should be raised in rural areas.
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| format | Article |
| id | doaj-art-e9a310b5f0ff4be1867927d675f2946c |
| institution | Kabale University |
| issn | 1827-1987 1970-7096 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj-art-e9a310b5f0ff4be1867927d675f2946c2024-12-21T02:28:20ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962024-12-0119210.4081/gh.2024.1322Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative studyHeng-Qian Huang-fu0Nan Zhang1Li Wang2Hui-Juan Liang3Ben-Song Xian4Xiao-Fang Gan5Yingsi Lai6Department of Medical Statistics, School of Public Health, Sun Yat-sen University, GuangzhouFaculty of Health Management, Inner Mongolia Medical University, HohhotDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, GuangzhouFaculty of Health Management, Inner Mongolia Medical University, HohhotFaculty of Health Management, Inner Mongolia Medical University, HohhotFaculty of Health Management, Inner Mongolia Medical University, HohhotDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou; Faculty of Health Management, Inner Mongolia Medical University, Hohhot; Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, China; Health Information Research Center, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou; Guangzhou Joint Research Center for Disease Surveillance, Early Warning and Risk Assessment, Guangzhou Geographical accessibility is important for promoting health equity, and calculating it requires the locations of all existing healthcare facilities in a region. Authoritative location data collected by governments is accurate but mostly not publicly available, while point-of-interest (POI) data from online sources, such as Baidu Maps and AutoNavi Maps are easily accessible. However, the accuracy of the latter has not been thoroughly analyzed. Taking Baotou, a medium-sized city in China, as aneample, we assessed the suitability of using POI data for measuring geographic accessibility to healthcare facilities.We computedthe difference of geographic accessibility calculated based on POI data and that on authoritative data.Logistic regression and a multiple linear regression model was applied to identify factors related to the consistency between the two data sources. Compared to authoritative data, POI data exhibited discrepancies, with completeness of 54.9% and accuracy of 63.7%. Geographic accessibility calculated based on both data showed similar patterns, with good consistency for hospitals and in urban areas. However, large differences (>30 minutes) were shown in rural areas for primary healthcare facilities. The differences were small regarding to population- weighted average accessibility (with slight underestimation of 3.07 minutes) and population coverage across various levels of accessibility (with differences less than 1% of the population) for the entire area. In conclusion, POI data can be considered foruse in both urban areas and at the level of entire city; however, awareness should be raised in rural areas. https://www.geospatialhealth.net/gh/article/view/1322healthcare accessibilityGeographic accesshealthcare facilities |
| spellingShingle | Heng-Qian Huang-fu Nan Zhang Li Wang Hui-Juan Liang Ben-Song Xian Xiao-Fang Gan Yingsi Lai Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study Geospatial Health healthcare accessibility Geographic access healthcare facilities |
| title | Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study |
| title_full | Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study |
| title_fullStr | Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study |
| title_full_unstemmed | Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study |
| title_short | Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study |
| title_sort | geographical accessibility to healthcare by point of interest data from online maps a comparative study |
| topic | healthcare accessibility Geographic access healthcare facilities |
| url | https://www.geospatialhealth.net/gh/article/view/1322 |
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