Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review

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 co...

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Bibliographic Details
Published in:Journal of medical Internet research Vol. 21; no. 5; p. e13117
Main Authors: Harst, Lorenz, Lantzsch, Hendrikje, Scheibe, Madlen
Format: Journal Article
Language:English
Published: Canada Journal of Medical Internet Research 21.05.2019
Gunther Eysenbach MD MPH, Associate Professor
JMIR Publications
Subjects:
Acceptance
Adoption of innovations
Analysis
Attitudes
Bias
Cross-Sectional Studies
Database searching
Decision-making
Dominance
End users
Female
Health care industry
High risk
Humans
Influence
Internet/Web search services
Male
Medical technology
Online searching
Patient Compliance - psychology
Quality assessment
Review
Risk assessment
Social acceptance
Social environment
Social factors
Social groups
Social support
Systematic review
Technology
Technology Acceptance Model
Telecommunications
Telemedicine
Telemedicine - methods
Theory
Titles
Usefulness
patient compliance
telemedicine
technology
systematic review
ISSN:1438-8871, 1439-4456, 1438-8871
Online Access:Get full text
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Summary: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.
Bibliography:ObjectType-Article-1
ObjectType-Evidence Based Healthcare-3
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ISSN:1438-8871
1439-4456
1438-8871
DOI:10.2196/13117