Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model
Objective (s): In a threatening situation such as Covid-19 Pandemic, E-health is more effective in providing public health, including prevention, monitoring, diagnosis, prioritization, treatment and follow-up patients. Regardless of E-health potential benefits, implementation and adaptation barriers...
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| Format: | Article |
| Language: | fas |
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Iranian Institute for Health Sciences Research
2021-02-01
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| Series: | Payesh |
| Subjects: | |
| Online Access: | http://payeshjournal.ir/article-1-1546-en.html |
| _version_ | 1818943713960787968 |
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| author | Shayganmehr Gholamreza Malekzadeh Mariusz Trojanowski |
| author_facet | Shayganmehr Gholamreza Malekzadeh Mariusz Trojanowski |
| author_sort | Shayganmehr |
| collection | DOAJ |
| description | Objective (s): In a threatening situation such as Covid-19 Pandemic, E-health is more effective in providing public health, including prevention, monitoring, diagnosis, prioritization, treatment and follow-up patients. Regardless of E-health potential benefits, implementation and adaptation barriers is expected. In this regarding, it is essential to study the factors influencing EHCR adoption. Therefore, this study aimed to investigate the factors affecting the adoption of E-Health.
Methods: In this research, the mixt method approach and exploratory design - typology creation model have been used. After conducting semi-structured interviews and a focus discussion group among physicians, specialists, health experts and CEOs, a research model was developed and tested one a sample of 417 physicians in an online survey. Structural Equation Modeling (SEM) has also been used to analyze the data and test the research hypotheses.
Results: Trust and confidentiality, waiting time, authority, health provider-patient relationship are influencing factors that affect adoption of E-health factor. Five other factors were also found that were similar to the UTAUT2 model: performance expectancy, effort expectancy or ease of use, facilities, price value, habit. All hypotheses were significant because the absolute value of the significant number obtained from the t statistic in all hypotheses was higher than 1.96, with a 0.84 effect rate.
Conclusion: The findings from this study help to understand the factors influencing behavioral tendency in using E-Health. Theoretical findings, development, and validation in this dissertation provide a framework that includes the factors influencing the adoption of health technology, theoretical foundations for designing and selecting health technology in future health care before they enter the market, or solving the problems of their acceptance implementation. |
| first_indexed | 2024-12-20T07:31:42Z |
| format | Article |
| id | doaj.art-ef3ee5a7e5fd466e8937addd99e56fe7 |
| institution | Directory Open Access Journal |
| issn | 1680-7626 2008-4536 |
| language | fas |
| last_indexed | 2024-12-20T07:31:42Z |
| publishDate | 2021-02-01 |
| publisher | Iranian Institute for Health Sciences Research |
| record_format | Article |
| series | Payesh |
| spelling | doaj.art-ef3ee5a7e5fd466e8937addd99e56fe72022-12-21T19:48:25ZfasIranian Institute for Health Sciences ResearchPayesh1680-76262008-45362021-02-012013147Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 modelShayganmehr0Gholamreza Malekzadeh1Mariusz Trojanowski2 Faculty of Economic & Administrative Sciences (FEAS) Ferdowsi University of Mashhad (FUM), Iran Faculty of Economic & Administrative Sciences (FEAS) Ferdowsi University of Mashhad (FUM), Iran Warsaw University, Warsaw, Poland Objective (s): In a threatening situation such as Covid-19 Pandemic, E-health is more effective in providing public health, including prevention, monitoring, diagnosis, prioritization, treatment and follow-up patients. Regardless of E-health potential benefits, implementation and adaptation barriers is expected. In this regarding, it is essential to study the factors influencing EHCR adoption. Therefore, this study aimed to investigate the factors affecting the adoption of E-Health. Methods: In this research, the mixt method approach and exploratory design - typology creation model have been used. After conducting semi-structured interviews and a focus discussion group among physicians, specialists, health experts and CEOs, a research model was developed and tested one a sample of 417 physicians in an online survey. Structural Equation Modeling (SEM) has also been used to analyze the data and test the research hypotheses. Results: Trust and confidentiality, waiting time, authority, health provider-patient relationship are influencing factors that affect adoption of E-health factor. Five other factors were also found that were similar to the UTAUT2 model: performance expectancy, effort expectancy or ease of use, facilities, price value, habit. All hypotheses were significant because the absolute value of the significant number obtained from the t statistic in all hypotheses was higher than 1.96, with a 0.84 effect rate. Conclusion: The findings from this study help to understand the factors influencing behavioral tendency in using E-Health. Theoretical findings, development, and validation in this dissertation provide a framework that includes the factors influencing the adoption of health technology, theoretical foundations for designing and selecting health technology in future health care before they enter the market, or solving the problems of their acceptance implementation.http://payeshjournal.ir/article-1-1546-en.htmle-healthadoptionmixed methods approachutaut2 |
| spellingShingle | Shayganmehr Gholamreza Malekzadeh Mariusz Trojanowski Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model Payesh e-health adoption mixed methods approach utaut2 |
| title | Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model |
| title_full | Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model |
| title_fullStr | Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model |
| title_full_unstemmed | Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model |
| title_short | Analysis of Factors Affecting the Adoption of Health Technologies: Modification of the UTAUT2 model |
| title_sort | analysis of factors affecting the adoption of health technologies modification of the utaut2 model |
| topic | e-health adoption mixed methods approach utaut2 |
| url | http://payeshjournal.ir/article-1-1546-en.html |
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