Volume 10, Issue 1 (Spring 2024)
JMIS 2024, 10(1): 54-67 |
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Varzaneh M A, Rashidpour A, Peikari H, Naghsh A. Factors Affecting the Use of Mobile Value-added Services in the Field of Health by the Social Security Organization in Iran. JMIS 2024; 10 (1) :54-67
URL: http://jmis.hums.ac.ir/article-1-507-en.html
URL: http://jmis.hums.ac.ir/article-1-507-en.html
Department of Cultural Management , Faculty of Humanities, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.
Abstract: (1331 Views)
Objective Due to the lack of medical resources and the asymmetric growth of demand-supply mismatch in Iran, the costs of health services are high. Mobile value-added services can compensate for the lack of medical resources and promote justice in the distribution of health services. This study aims to provide a model for using mobile value-added services in the field of health for the Social Security Organization in Iran.
Methods In this descriptive cross-sectional study in 2022, experts in health information technology from the Social Security Organization in Tehran province participated. A questionnaire with 62 items was designed to collect data whose validity was confirmed based on the opinion of five experts and the reliability was confirmed with a Cronbach’s α of 0.944. Exploratory factor analysis method and SPSS software, version 25, were used for data analysis and modeling.
Results The participants were 64 experts, 29% female and 70% male. The model consisted of 16 factors including perceived benefit, perceived well-being, user values, customer results, society results, organization results, financial and business effects, quality effects, technology infrastructure, reduced fear of technology, learning and empowerment, job-related factors, supports and incentives, attitude, dependability, and risk reduction.
Conclusion The social security organization of Iran can use mobile value-added services in health to increase the satisfaction of the insured people including retirees and improve its processes according to the dimensions of the model presented in this study.
Methods In this descriptive cross-sectional study in 2022, experts in health information technology from the Social Security Organization in Tehran province participated. A questionnaire with 62 items was designed to collect data whose validity was confirmed based on the opinion of five experts and the reliability was confirmed with a Cronbach’s α of 0.944. Exploratory factor analysis method and SPSS software, version 25, were used for data analysis and modeling.
Results The participants were 64 experts, 29% female and 70% male. The model consisted of 16 factors including perceived benefit, perceived well-being, user values, customer results, society results, organization results, financial and business effects, quality effects, technology infrastructure, reduced fear of technology, learning and empowerment, job-related factors, supports and incentives, attitude, dependability, and risk reduction.
Conclusion The social security organization of Iran can use mobile value-added services in health to increase the satisfaction of the insured people including retirees and improve its processes according to the dimensions of the model presented in this study.
Type of Study: Research |
Subject:
Special
Received: 2023/12/20 | Accepted: 2024/03/11 | Published: 2024/04/1
Received: 2023/12/20 | Accepted: 2024/03/11 | Published: 2024/04/1
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