@2024 Afarand., IRAN

---

ISSN: 2383-2150    Journal of Education and Community Health 2020;7(1):51-58

Background
... .[1, 2]. An e-service is any service provided by the Internet or information technology and mostly done by the client [2].
Previous Studies
... [3-16]. It shown that introducing technologies to users is difficult; therefore, using these technologies is limited [17]. For this purpose, e-service has been widely considered for the acceptance of e-health services by the patient [18]. Predicting the adoption and use of technology has long been one of the key concepts for many researchers [19]. The present study reviewed the literature on the acceptance and use of technology in 2018. … [20-26]. A few numbers of studies have been done on the adoption of information technology from the people’s views [27, 28]. Accordingly, due to the need to develop a more comprehensive model for the acceptance of health e-service by patients and health e-service users, the proposed model of the present study was presented (Figure 1).The Hanafizadeh's and Yarmohammadi's 3C model was used to design of the conceptual model of this study [29].
Aim(s)
The purpose of the present study was to present a model of acceptance of e-health services.
Research type
The research was a descriptive-correlational study.
Research society, place and time
This study was carried out in public hospitals in Tehran in 2018-19.
Sampling method and number
Using convenience sampling, patients referring to the studied hospitals were selected. The inclusion criteria were at least diploma degree and being familiar with e-service. Using Morgan table, a sample size of 384 cases was estimated [30].
Used devices&materials
Data were collected by a questionnaire including four sections. The first part assessed demographic information, such as gender, age and level of education. Content validity was assessed using the tutors’ views and two faculty members of the Ministry of Health and Medical Education and finally approved. The face validity of the questionnaire was evaluated by 14 experts, including 3 tutors, 3 physicians, 3 specialist physician, and 5 people with masters’ degree. The construct validity of the questionnaire was tested by confirmatory factor analysis. Descriptive analysis of data was performed by SPSS 22 software and the partial least squares regression and Smart PLS 3.2.8 software, were used to test the conceptual model.
Findings by Text
In total, the data obtained from 357 individuals were analyzed. The majority of cases were men in the age group of 31-40 years with a bachelor's degree (Table 2).In the construct validity using confirmatory factor analysis, the average variance index (AVE) extracted for each dimension was greater than 0.5, while composite reliability was greater than 0.70. In addition, all coefficients of path coefficients of variables were more than 0.60. Therefore, the convergent validity of the model was confirmed (Table 3).There was a positive and significant correlation between all variables (p <0.05, Table 4).The effect of factors associated with the recipient of health services or clients, factors associated with the health services or intellectual processing, as well as the factors associated with provider and receiver of the healthcare on the acceptance of e-health services was significant (p <0.05; Table 5).Therefore, all connections between model variables were confirmed. Accordingly, considering the investigated components, the final model of the research was approved (Figure 2).
Main comparison to the similar studies
The findings of the present study are consistent with those of Goldsmith et al. In another study conducted by Razaghi and Nasiripour, satisfaction with outcomes, waiting for effort, need for training and knowledge, coordination of experiences, and need for expertise have been identified as influencing factors in acceptance of health services, which were also assessed and approved in our research. Reliability of the service provider is also an important issue that has not been considered in most studies and needs to be addressed [33]. Length of doing a work/waiting time, attention to the patient needs, health care consultation, initial diagnosis, access to the patient’s information by specialists and physicians, referral services, ensuring the accuracy of information, service updates and delivery, complete information, and rapid responsiveness are indicators that have not been frequently addressed in studies in Iran.
Suggestions
Investigating the views of both the patients as recipients and staff of hospitals and health care providers and those working in this area can provide better and more accurate results that should be considered in future research.
Limitations
This study was conducted on patients in public hospitals of Tehran city with a significant number of patients from other cities, which was one of the limitations of this study.
Conclusions
The presented model of acceptance of e-health services was approved, and based on this model, effective factors in determining acceptance of e-health services can be predicted.
Acknowledgments
We would like to thank all the staff of Tehran public hospitals for their co-operation with the researchers of this study.
Conflict of interest
None.
Ethical Permissions
None.
Funding Sources
This research was extracted from a PhD thesis in Information Technology Management in Allameh Tabatabai University.

TABLES and CHARTS

Show attach file