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Article

Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism

by 1,2,†, 3,† and 4,5,*
1
Department of Medical Sociology and Social Work, Chung Shan Medical University, Taichung 402367, Taiwan
2
Social Service Section, Chung Shan Medical University Hospital, Taichung 402367, Taiwan
3
Department of Medical Informatics, Chung Shan Medical University, Taichung 402367, Taiwan
4
School of Medicine, Chung Shan Medical University, Taichung 402367, Taiwan
5
Department of Physical Medicine and Rehabilitation, Chung Shan Medical University Hospital, Taichung 402367, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2020, 17(20), 7576; https://doi.org/10.3390/ijerph17207576
Received: 31 July 2020 / Revised: 25 September 2020 / Accepted: 13 October 2020 / Published: 18 October 2020
(This article belongs to the Special Issue Medical Geology)
Identifying and treating co-existing diseases are essential in healthcare for the elderly, while physical rehabilitation care teams can provide interdisciplinary geriatric care for the elderly. To evaluate the appropriateness of demand and supply between the population at demand and physical rehabilitation resources, a comparative analysis was carried out in this study. Our study applied seven statistical indices to assess five proposed methods those considered different factors for geographic accessibility analysis. Google ratings were included in the study as a crucial factor of choice probability in the equation for calculating the geographic accessibility scores, because people’s behavioral decisions are increasingly dependent on online rating information. The results showed that methods considering distances, the capacity of hospitals, and Google ratings’ integrally generated scores, are in better accordance with people’s decision-making behavior when they determine which resources of physical rehabilitation to use. It implies that concurrent considerations of non-spatial factors (online ratings and sizes of resource) are important. Our study proposed an integrated assessment method of geographical accessibility scores, which includes the spatial distribution, capacity of resources and online ratings in the mechanism. This research caters to countries that provide citizens with a higher degree of freedom in their medical choices and allows these countries to improve the fairness of resource allocation, raise the geographic accessibilities of physical rehabilitation resources, and promote aging in place. View Full-Text
Keywords: physical rehabilitation; elderly; geographic accessibility; resources allocation; spatial inequality; medical geology physical rehabilitation; elderly; geographic accessibility; resources allocation; spatial inequality; medical geology
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MDPI and ACS Style

Wu, H.-C.; Tseng, M.-H.; Lin, C.-C. Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism. Int. J. Environ. Res. Public Health 2020, 17, 7576. https://doi.org/10.3390/ijerph17207576

AMA Style

Wu H-C, Tseng M-H, Lin C-C. Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism. International Journal of Environmental Research and Public Health. 2020; 17(20):7576. https://doi.org/10.3390/ijerph17207576

Chicago/Turabian Style

Wu, Hui-Ching, Ming-Hseng Tseng, and Chuan-Chao Lin. 2020. "Assessment on Distributional Fairness of Physical Rehabilitation Resource Allocation: Geographic Accessibility Analysis Integrating Google Rating Mechanism" International Journal of Environmental Research and Public Health 17, no. 20: 7576. https://doi.org/10.3390/ijerph17207576

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