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Penetration factors and introduction possibility for image diagnostic equipment

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/74842

Title: Penetration factors and introduction possibility for image diagnostic equipment
Authors: Suzuki, Teppei Browse this author
Isomi, Yusuke Browse this author
Tsuji, Shintaro Browse this author
Tani, Yuji Browse this author
Tanikawa, Takumi Browse this author
Yamasina, Hiroko Browse this author
Ogasawara, Katsuhiko Browse this author →KAKEN DB
Keywords: Healthcare needs and demand
Healthcare markets
Medical equipment
Principal component analysis
Issue Date: Jun-2018
Publisher: Elsevier
Journal Title: Health policy and technology
Volume: 7
Issue: 2
Start Page: 142
End Page: 148
Publisher DOI: 10.1016/j.hlpt.2018.01.008
Abstract: Background: This study investigated and analyzed the relationship between medical resources and economic conditions of OECD member countries and extracted factors for introducing imaging diagnostic equipment in each country. We also investigated the possibility of introducing diagnostic imaging equipment. Methods: A principal component analysis was conducted from medical environment indices and economic situation indices; the results were visualized on a graph with the extracted two principal components as axes, and the target nations were categorized according to the possibility of introducing diagnostic imaging equipment. Next, with the number of CTs and MRIs as response variables, we visualized the probability results on a graph by conducting a multiple regression analysis with the indices as explanatory variables and extracting the most influential factors on the number of diagnostic imaging equipment introduced. Results: We classified 29 countries into four groups according to medical environment and economic situation indices. By extracting from the four groups a group with a high possibility for introducing medical equipment then conducting a multiple regression analysis with CT and MRI unit counts as objective variables and other medical environment and economic situation indices as explanatory variables, it became clear that the factor with the greatest influence on CT and MRI unit counts is the number of hospital beds. Conclusion: As topics of future studies, we would like to clarify the factors behind as well as the probability for the introduction of medical equipment in each nation by researching high-growth medical equipment markets. (C) 2018 Fellowship of Postgraduate Medicine. Published by Elsevier Ltd. All rights reserved.
Rights: © 2018, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
http://creativecommons.org/licenses/by-nc-nd/4.0/
Type: article (author version)
URI: http://hdl.handle.net/2115/74842
Appears in Collections:保健科学院・保健科学研究院 (Graduate School of Health Sciences / Faculty of Health Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 鈴木 哲平

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