Model of Acceptance of E-Health Services
Aims: Understanding the factors that underpin the adoption of new healthcare electronic systems and services is of great importance. Therefore, the aim of the present study was to provide the model of acceptance of electronic health services by patients. Instruments & Methods: This descriptive-...
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| Format: | Article |
| Language: | English |
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Hamadan University of Medical Sciences
2020-02-01
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| Series: | Journal of Education and Community Health |
| Subjects: | |
| Online Access: | http://jech.umsha.ac.ir/article-1-768-en.pdf |
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| _version_ | 1849322998284156928 |
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| author | Mohammad Taghi Taghavifard Payam Hanafizadeh Jahanyar Bamdad-Soofi Akbar Yoosefvand |
| author_facet | Mohammad Taghi Taghavifard Payam Hanafizadeh Jahanyar Bamdad-Soofi Akbar Yoosefvand |
| author_sort | Mohammad Taghi Taghavifard |
| collection | DOAJ |
| description | Aims: Understanding the factors that underpin the adoption of new healthcare electronic systems and services is of great importance. Therefore, the aim of the present study was to provide the model of acceptance of electronic health services by patients.
Instruments & Methods: This descriptive-correlational study was conducted on 357 patients in Tehran hospitals during 2018-2019. The subjects were selected by convenience sampling method and completed a questionnaire including demographic information and the main model structural components (audience, cerebral process, and conduit). SPSS 22 software was used for descriptive analysis of data and partial least squares method and Smart PLS 3.2.8 software were used to verify the conceptual model.
Findings: The influence of factors related to receiver of health services or audience (t=9.955), factors related to cerebral process (t=5.206) and also, factors related to conduit (t=3.350) were significant on acceptance of e-health services (p<0.05). Therefore, all relationships between model variables were confirmed.
Conclusion: The provided model of acceptance of e-health services is confirmed and based on this, one can predict the effective factors in determining the acceptance of e-health services. |
| format | Article |
| id | doaj-art-72d9485cb2f0416c80ca49c20e34a2de |
| institution | Kabale University |
| issn | 2383-2312 2383-2312 |
| language | English |
| publishDate | 2020-02-01 |
| publisher | Hamadan University of Medical Sciences |
| record_format | Article |
| series | Journal of Education and Community Health |
| spelling | doaj-art-72d9485cb2f0416c80ca49c20e34a2de2025-08-20T03:49:12ZengHamadan University of Medical SciencesJournal of Education and Community Health2383-23122383-23122020-02-0171515810.29252/jech.7.1.51Model of Acceptance of E-Health ServicesMohammad Taghi Taghavifard0https://orcid.org/0000-0002-4212-2079Payam Hanafizadeh1Jahanyar Bamdad-Soofi2Akbar Yoosefvand3https://orcid.org/0000-0002-2034-3372Industrial Management Department, Management & Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran.Industrial Management Department, Management & Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran.Industrial Management Department, Management & Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran.Industrial Management Department, Management & Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran. Aims: Understanding the factors that underpin the adoption of new healthcare electronic systems and services is of great importance. Therefore, the aim of the present study was to provide the model of acceptance of electronic health services by patients. Instruments & Methods: This descriptive-correlational study was conducted on 357 patients in Tehran hospitals during 2018-2019. The subjects were selected by convenience sampling method and completed a questionnaire including demographic information and the main model structural components (audience, cerebral process, and conduit). SPSS 22 software was used for descriptive analysis of data and partial least squares method and Smart PLS 3.2.8 software were used to verify the conceptual model. Findings: The influence of factors related to receiver of health services or audience (t=9.955), factors related to cerebral process (t=5.206) and also, factors related to conduit (t=3.350) were significant on acceptance of e-health services (p<0.05). Therefore, all relationships between model variables were confirmed. Conclusion: The provided model of acceptance of e-health services is confirmed and based on this, one can predict the effective factors in determining the acceptance of e-health services.http://jech.umsha.ac.ir/article-1-768-en.pdfacceptancee-healthhealth services |
| spellingShingle | Mohammad Taghi Taghavifard Payam Hanafizadeh Jahanyar Bamdad-Soofi Akbar Yoosefvand Model of Acceptance of E-Health Services Journal of Education and Community Health acceptance e-health health services |
| title | Model of Acceptance of E-Health Services |
| title_full | Model of Acceptance of E-Health Services |
| title_fullStr | Model of Acceptance of E-Health Services |
| title_full_unstemmed | Model of Acceptance of E-Health Services |
| title_short | Model of Acceptance of E-Health Services |
| title_sort | model of acceptance of e health services |
| topic | acceptance e-health health services |
| url | http://jech.umsha.ac.ir/article-1-768-en.pdf |
| work_keys_str_mv | AT mohammadtaghitaghavifard modelofacceptanceofehealthservices AT payamhanafizadeh modelofacceptanceofehealthservices AT jahanyarbamdadsoofi modelofacceptanceofehealthservices AT akbaryoosefvand modelofacceptanceofehealthservices |