The use of the unified theory of acceptance of technology model for telemedicine: A systematic review for developing a research agenda for future studies.

Authors

Mateus de Sousa Martins, Bento Alves da Costa Filho, Maria Fátima de Sousa, Ana Valéria Machado Mendonça, Natália Fernandes de Andrade, Silvia Régia Vieira de Freitas Filha, Luana Dias da Costa, João Paulo Fernandes da Silva, Julys Nathan Ferreira Soares, Igor Bettarello Carvalho Xavier, Josivania Silva Farias

Published in

Digital health. Volume 12. Pages 20552076261435081. Epub Sep 02, 2026.

Abstract

Digital health technologies improve access to healthcare and offer innovative ways to assist its users, as health systems increasingly integrate telemedicine strategies into medical service routines. Understanding the factors that influence the acceptance and use of telemedicine-related technologies is fundamental. The unified theory of acceptance of technology (UTAUT) is one of the most frequently applied theoretical frameworks for explaining technology adoption and has evolved since its development. Mapping the literature on the application of UTAUT in telemedicine studies is key to understanding the future of research in this area.
The main objective of this study is to map the literature on the application of the UTAUT model for telemedicine acceptance and use, in order to assist in developing a framework for future research agendas.
A systematic literature review of the application of the UTAUT model to telemedicine acceptance and use was conducted, following the PRISMA protocol. The textual corpus obtained from the collected data was analyzed, with the support of VOSviewer and IRAMUTEQ software, to assist in developing a framework for future research agendas in telemedicine.
The current literature on the application of the UTAUT model to the acceptance and use of telemedicine was mapped, analyzed, and applied to develop a research agenda framework that provides guidance for understanding and structuring research directions.
This study maps UTAUT's application in telemedicine and identifies key factors shaping technology acceptance and use. It advances theoretical understanding, offers a framework for future research, and supports the integration of digital health technologies to improve healthcare delivery.

PMID:
42703327
Bibliographic data and abstract were imported from PubMed on 07 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.