Justice in Dementia Care Resource Allocation: How Should We Plan for Dementia Services?

Chia-Feng Yen and Shyang-Woei Lin
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Chia-Feng Yen: Department of Public Health, Buddhist Tzu-Chi University, Hualien 97004, Taiwan
Shyang-Woei Lin: Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan

IJERPH, 2019, vol. 16, issue 10, 1-15

Abstract: Dementia care resources in Taiwan have not been allocated taking into account patients’ needs and the distance between service users and providers. The objective of this study was to use two newly developed indicators; profit willing distance (PWD) and tolerance limited distance (TLD), to profile the service availability and accessibility of the 22 administrative areas in Taiwan and facilitate justice-based resource allocation by the central government. The study employed secondary data analysis by using a geographic information system (GIS) and geocoding to identify distances between service users and providers. The study samples were drawn from the databank of the National Disability Eligibility Determination System and grouped by the acuteness of registrants’ needs. Both the PWD and TLD were found in 15 of the administrative areas, and neither was found in three areas (Penghu, Kinmen, and Lienchiang County). Either the PWD or TLD (but not both) were found in four areas (only have PWD: Hsinchu and Chiayi City; only have TLD: Yunlin and Taitung County). How the priorities should be set for dementia service allocation based on these findings was also addressed. We conclude that the indicators of PWD and TLD can add value to the policy decision-making process, help set priorities, and facilitate efficient and fair resource allocation by defining specifics of the resources needed.

Keywords: resource allocation; dementia; disability; geographic information system; justice; profit willing distance; tolerance limited distance (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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