Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Telemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and si...

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Main Authors: Jinna Yu, Tingting Zhang, Zhen Liu, Assem Abu Hatab, Jing Lan
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/17/1/375
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spelling doaj-64890b8c30ed408f95044b84acbb2c462020-11-25T00:33:36ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012020-01-0117137510.3390/ijerph17010375ijerph17010375Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in ChinaJinna Yu0Tingting Zhang1Zhen Liu2Assem Abu Hatab3Jing Lan4Business School, Guizhou Minzu University, Guiyang 550025, ChinaSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Business, Nanjing Normal University, Nanjing 210023, ChinaDepartment of Economics, Swedish University of Agricultural Sciences, P.O. Box 7013, SE-750 07 Uppsala, SwedenCollege of Public Administration, Nanjing Agricultural University, Nanjing 210095, ChinaTelemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and significant improvements in these technologies. This paper used evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the implementation and operation of telemedicine. Further, numerical simulation was carried out to develop management strategies for promoting telemedicine as a new way of delivering health services. The results showed that: (1) When the benefits are greater than the costs, the higher medical institutions (HMIs), primary medical institutions (PMIs), and patients positively promote telemedicine with benign interactions; (2) when the costs are greater than the benefits, the stability strategy of HMIs, PMIs, and patients is, respectively, ‘no efforts’, ‘no efforts’, and ‘non-acceptance’; and (3) promotion of telemedicine is influenced by the initial probability of the ‘HMI efforts’, ‘PMI efforts’, and ‘patients’ acceptance’ strategy chosen by the three stakeholders, telemedicine costs, and the reimbursement ratio of such costs. Based on theoretical analysis, in order to verify the theoretical model, this paper introduces the case study of a telemedicine system integrated with health resources at provincial, municipal, county, and township level in Guizhou. The findings of the case study were consistent with the theoretical analysis. Therefore, the central Chinese government and local governments should pay attention to the running cost of MIs and provide financial support when the costs are greater than the benefits. At the same time, the government should raise awareness of telemedicine and increase participation by all three stakeholders. Lastly, in order to promote telemedicine effectively, it is recommended that telemedicine services are incorporated within the scope of medical insurance and the optimal reimbursement ratio is used.https://www.mdpi.com/1660-4601/17/1/375telemedicinetripartite data analysisoptimizing telemedicine operations
collection DOAJ
language English
format Article
sources DOAJ
author Jinna Yu
Tingting Zhang
Zhen Liu
Assem Abu Hatab
Jing Lan
spellingShingle Jinna Yu
Tingting Zhang
Zhen Liu
Assem Abu Hatab
Jing Lan
Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
International Journal of Environmental Research and Public Health
telemedicine
tripartite data analysis
optimizing telemedicine operations
author_facet Jinna Yu
Tingting Zhang
Zhen Liu
Assem Abu Hatab
Jing Lan
author_sort Jinna Yu
title Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
title_short Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
title_full Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
title_fullStr Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
title_full_unstemmed Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China
title_sort tripartite data analysis for optimizing telemedicine operations: evidence from guizhou province in china
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2020-01-01
description Telemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and significant improvements in these technologies. This paper used evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the implementation and operation of telemedicine. Further, numerical simulation was carried out to develop management strategies for promoting telemedicine as a new way of delivering health services. The results showed that: (1) When the benefits are greater than the costs, the higher medical institutions (HMIs), primary medical institutions (PMIs), and patients positively promote telemedicine with benign interactions; (2) when the costs are greater than the benefits, the stability strategy of HMIs, PMIs, and patients is, respectively, ‘no efforts’, ‘no efforts’, and ‘non-acceptance’; and (3) promotion of telemedicine is influenced by the initial probability of the ‘HMI efforts’, ‘PMI efforts’, and ‘patients’ acceptance’ strategy chosen by the three stakeholders, telemedicine costs, and the reimbursement ratio of such costs. Based on theoretical analysis, in order to verify the theoretical model, this paper introduces the case study of a telemedicine system integrated with health resources at provincial, municipal, county, and township level in Guizhou. The findings of the case study were consistent with the theoretical analysis. Therefore, the central Chinese government and local governments should pay attention to the running cost of MIs and provide financial support when the costs are greater than the benefits. At the same time, the government should raise awareness of telemedicine and increase participation by all three stakeholders. Lastly, in order to promote telemedicine effectively, it is recommended that telemedicine services are incorporated within the scope of medical insurance and the optimal reimbursement ratio is used.
topic telemedicine
tripartite data analysis
optimizing telemedicine operations
url https://www.mdpi.com/1660-4601/17/1/375
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