ARTICLE INFO

Article Type

Descriptive & Survey Study

Authors

Taghavi-Fard   M.T. (1)
Hanafizadeh   P. (1)
Bamdad Soofi   J. (1)
Yoosefvand   A. (*1)






(*1) Industrial Management Department, Management Economy & Account Faculty, Allameh Tabataba'i University, Tehran, Iran
(1) Industrial Management Department, Management & Accounting Faculty, Allameh Tabataba'i University, Tehran, Iran
(1) Industrial Management Department, Management Economy & Account Faculty, Allameh Tabataba'i University, Tehran, Iran
(1) Industrial Management Department, Management Economy & Account Faculty, Allameh Tabataba'i University, Tehran, Iran

Correspondence

Address: 3th Floor, Financial Departement, Building of Ministry of Health & Medical Education,Ivanak Boulevard, Sannat Square, Shahrake Qods, Tehran, Iran.
Phone: +98 (21) 81452180
Fax: +98 (21) 88363747
ayoosefvand@gmail.com

Article History

Received:   July  10, 2019
Accepted:   November 9, 2019
ePublished:   March 18, 2020

ABSTRACT

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.
Materials & 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.


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