Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.
patient compliance
systematic review
technology
telemedicine
Journal
Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882
Informations de publication
Date de publication:
21 05 2019
21 05 2019
Historique:
received:
12
12
2018
accepted:
29
03
2019
revised:
08
03
2019
entrez:
23
5
2019
pubmed:
23
5
2019
medline:
14
2
2020
Statut:
epublish
Résumé
Only a few telemedicine applications have made their way into regular care. One reason is the lack of acceptance of telemedicine by potential end users. The aim of this systematic review was to identify theoretical predictors that influence the acceptance of telemedicine. An electronic search was conducted in PubMed and PsycINFO in June 2018 and supplemented by a hand search. Articles were identified using predefined inclusion and exclusion criteria. In total, two reviewers independently assessed the title, abstract, and full-text screening and then individually performed a quality assessment of all included studies. Out of 5917 potentially relevant titles (duplicates excluded), 24 studies were included. The Axis Tool for quality assessment of cross-sectional studies revealed a high risk of bias for all studies except for one study. The most commonly used models were the Technology Acceptance Model (n=11) and the Unified Theory of Acceptance and Use of Technology (n=9). The main significant predictors of acceptance were perceived usefulness (n=11), social influences (n=6), and attitude (n=6). The results show a superiority of technology acceptance versus original behavioral models. The main finding of this review is the applicability of technology acceptance models and theories on telemedicine adoption. Characteristics of the technology, such as its usefulness, as well as attributes of the individual, such as his or her need for social support, inform end-user acceptance. Therefore, in the future, requirements of the target group and the group's social environment should already be taken into account when planning telemedicine applications. The results support the importance of theory-guided user-centered design approaches to telemedicine development.
Sections du résumé
BACKGROUND
Only a few telemedicine applications have made their way into regular care. One reason is the lack of acceptance of telemedicine by potential end users.
OBJECTIVE
The aim of this systematic review was to identify theoretical predictors that influence the acceptance of telemedicine.
METHODS
An electronic search was conducted in PubMed and PsycINFO in June 2018 and supplemented by a hand search. Articles were identified using predefined inclusion and exclusion criteria. In total, two reviewers independently assessed the title, abstract, and full-text screening and then individually performed a quality assessment of all included studies.
RESULTS
Out of 5917 potentially relevant titles (duplicates excluded), 24 studies were included. The Axis Tool for quality assessment of cross-sectional studies revealed a high risk of bias for all studies except for one study. The most commonly used models were the Technology Acceptance Model (n=11) and the Unified Theory of Acceptance and Use of Technology (n=9). The main significant predictors of acceptance were perceived usefulness (n=11), social influences (n=6), and attitude (n=6). The results show a superiority of technology acceptance versus original behavioral models.
CONCLUSIONS
The main finding of this review is the applicability of technology acceptance models and theories on telemedicine adoption. Characteristics of the technology, such as its usefulness, as well as attributes of the individual, such as his or her need for social support, inform end-user acceptance. Therefore, in the future, requirements of the target group and the group's social environment should already be taken into account when planning telemedicine applications. The results support the importance of theory-guided user-centered design approaches to telemedicine development.
Identifiants
pubmed: 31115340
pii: v21i5e13117
doi: 10.2196/13117
pmc: PMC6547771
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13117Informations de copyright
©Lorenz Harst, Hendrikje Lantzsch, Madlen Scheibe. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.05.2019.
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