Readiness, acceptance and use of e-health systems in hospitals and health centers of north western ethiopia
The purpose of this empirical study was to examine e-health readiness, acceptance and use in hospitals and health centers in Ethiopia. In this study, 900 samples were taken using a simple random sampling method from 10 Hospitals and 20 health centers in northwestern Ethiopia. SmartPls software was u...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2020-06-01.
|
| Subjects: | |
| Online Access: | Get fulltext |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02595 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs20486_13781 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Ayele, Abinew Ali |e author |
| 100 | 1 | 0 | |a Bahir Dar University |e contributor |
| 245 | 0 | 0 | |a Readiness, acceptance and use of e-health systems in hospitals and health centers of north western ethiopia |
| 260 | |b Institute of Advanced Engineering and Science, |c 2020-06-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20486 | ||
| 520 | |a The purpose of this empirical study was to examine e-health readiness, acceptance and use in hospitals and health centers in Ethiopia. In this study, 900 samples were taken using a simple random sampling method from 10 Hospitals and 20 health centers in northwestern Ethiopia. SmartPls software was used for the structural equation modeling and path analysis techniques. All of the e-health readiness indicators, except employees' attitudes showed that hospitals and health centers were not ready to implement and use e-health systems. The intentions of users to accept and use e-health systems were evaluated and determinants were identified. Service quality from the technological factors, self-efficacy from the human factors and user training from the organizational factors were found to be significant determinants of user satisfaction, individual performance, and organizational performance respectively. Major determinants were an organizational performance with a contribution of 37.6% influence followed by an individual performance with 28.2% contribution (together accounted for about 65.8% influence) of the users' behavioral intentions to use e-health systems. The model, which explained 47.6 % of the variances in the data, was found to be significant. | ||
| 540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a computer and informatics | ||
| 690 | |a Acceptance and use; Determinants; E-health systems; Health centers; Hospitals; Northwest Ethiopia; Readiness | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 18, No 3: June 2020; 1510-1519 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v18.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20486/13781 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20486/13781 |z Get fulltext |