Relationship between accessibility and resources to treat acute ischemic stroke. Hokkaido, Japan : Analysis of inequality and coverage using geographic information systems

Ishikawa, Tomoki; Mizuguchi, Hiro; Murayama, Hiroshi; Fujiwara, Kensuke; Tanikawa, Takumi; Kobayashi, Eiichi; Ogasawara, Katsuhiko

Relationship between accessibility and resources to treat acute ischemic stroke. Hokkaido, Japan : Analysis of inequality and coverage using geographic information systems

Ishikawa, Tomoki; Mizuguchi, Hiro; Murayama, Hiroshi et al.

Health policy and technology, 2019, 8(4), 337-342

Permalink : https://hdl.handle.net/2115/79547

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アクセス権	open access
URI	https://hdl.handle.net/2115/79547
タイトル	Relationship between accessibility and resources to treat acute ischemic stroke. Hokkaido, Japan : Analysis of inequality and coverage using geographic information systems
著者	Ishikawa, Tomoki ; Mizuguchi, Hiro ; Murayama, Hiroshi ; Fujiwara, Kensuke ; Tanikawa, Takumi ; Kobayashi, Eiichi ; Ogasawara, Katsuhiko
著者名 Ishikawa, Tomoki
著者名 Mizuguchi, Hiro
著者名 Murayama, Hiroshi
著者名 Fujiwara, Kensuke
e-Rad_Researcher 40446539 著者名 Tanikawa, Takumi
著者名 Kobayashi, Eiichi
e-Rad_Researcher 90322859 著者名 Ogasawara, Katsuhiko
言語	英語
キーワード	Health services accessibility
	Spatial analysis
	Geographic information system (GIS)
	Response time (RT)
	Emergency medical services (EMS)
発行日	2019-12
出版者	Elsevier
収録物名	Health policy and technology
巻(号)	8(4)
ページ	337-342
抄録	Objectives: This study aimed to clarify the relationship between the institution and resident with respect to accessibility to acute ischemic stroke (AIS) treatment in Hokkaido and to propose new methodology monitoring for accessibility to healthcare resources. Methods: This study involves the use of geographic information system (GIS) network analysis. We established hospital/clinic with one of the following conditions as resources for AIS treatment: (1) medical facility practicing AIS treatment, (2) having computed tomography (CT) equipment, (3) having angiography equipment, and (4) having AIS specialists (neurosurgeons). We evaluated the coverage of population resources using transport time between ambulance departure and arrival at the healthcare facility. Furthermore, we compared the population coverage rate using available resources and calculated a Gini coefficient to analyze its relation with inequality. Empirical analysis was performed, and public database for data collection was utilized. We calculated the rate of population coverage with a transport time within 10 min as an indicator of accessibility to medical resources by GIS. Results: The Gini coefficients of practicable facilities, CT, angiography, and neurosurgeons are 0.35, 0.16, 0.18, and 0.30, respectively. The inequality of accessibility differs depending on the resources, and Gini coefficients indicate that hospital/clinic and neurosurgeons were considered to have higher allocation inequalities than CT and angiography. Conclusions: Combining Gini coefficient and GIS network analysis in accessibility can be useful in quantifying and monitoring variation by region. We propose this combination as a new method for helping the government to make evidence-based healthcare planning. (C) 2019 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd. All rights reserved.
資源タイプ	学術雑誌論文
出版タイプ	Accepted Manuscript
権利情報	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
権利情報	© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
PISSN	2211-8837
関連情報 (isVersionOf)	出版社版DOI https://doi.org/10.1016/j.hlpt.2019.10.001