2021
DOI: 10.1089/tmj.2020.0071
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Analysis of Factors Inhibiting the Dissemination of Telemedicine in Japan: Using the Interpretive Structural Modeling

Abstract: Background: Telemedicine is not significantly spreading globally and large variations in its availability and use exist internationally. While many factors already inhibit the dissemination of telemedicine, its complexly intertwined factors makes it more difficult to solve this problem. This study aimed to analyze and visualize relationships among factors inhibiting the dissemination of telemedicine. We applied the interpretive structural modeling (ISM) method and cross-impact matrix multiplication applied to … Show more

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Cited by 11 publications
(9 citation statements)
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References 14 publications
(16 reference statements)
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“…In other words, population density can serve as a measure for considering whether to provide telemedicine in clinics in Japan. Given that introducing telemedicine is often expensive, 11 administrative and financial support for telemedicine may be more needed in prefectures with less populated density.…”
Section: Discussionmentioning
confidence: 99%
“…In other words, population density can serve as a measure for considering whether to provide telemedicine in clinics in Japan. Given that introducing telemedicine is often expensive, 11 administrative and financial support for telemedicine may be more needed in prefectures with less populated density.…”
Section: Discussionmentioning
confidence: 99%
“… 20–22 In fact, the Japanese government has promoted telemedicine by removing regulatory obstacles during the COVID-19 pandemic; however, many factors that inhibit the dissemination of telemedicine, such as cost and security, were indicated in Japan. 23 Some of these problems may be common in other foreign countries, 24–26 and it is necessary to overcome technical and political frameworks. Our study only focussed on a measure of morbidity and not on orality which can permit individual health status or thinking.…”
Section: Discussionmentioning
confidence: 99%
“…Their results indicate that hospital size, top management support and organizational readiness are the three most influential factors. Shimizu et al' (2021) exploration of factors inhibiting the dissemination of telemedicine in Japan, using interpretive structural modeling (ISM), reveals that high implementation and operating costs, lack of research data and risks to clinical safety are key factors. In developing countries such as Bangladesh, ease of use and the usefulness of and trust in eHealth technologies are considered by patients to be the two most important factors influencing eHealth adoption (Hoque et al, 2017).…”
Section: Multi-criteria Decision-making Methods For Ehealth Contextsmentioning
confidence: 99%
“…Their results indicate that hospital size, top management support and organizational readiness are the three most influential factors. Shimizu et al. ’ (2021) exploration of factors inhibiting the dissemination of telemedicine in Japan, using interpretive structural modeling (ISM), reveals that high implementation and operating costs, lack of research data and risks to clinical safety are key factors.…”
Section: Literature Reviewmentioning
confidence: 99%