https://doi.org/10.4081/gh.2024.1322
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study
Submitted: 19 June 2024
Accepted: 21 November 2024
Published: 20 December 2024
Accepted: 21 November 2024
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Supplementary Materials: 36
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
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 an example, we assessed the suitability of using POI data for measuring geographic accessibility to healthcare facilities. We computed the 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 for use in both urban areas and at the level of entire city; however, awareness should be raised in rural areas.
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How to Cite
Huang-fu, H.-Q., Zhang, N., Wang, L., Liang, H.-J., Xian, B.-S., Gan, X.-F., & Lai, Y. (2024). Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study. Geospatial Health, 19(2). https://doi.org/10.4081/gh.2024.1322
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