This paper is in the following e-collection/theme issue:

Digital Health Reviews (1551) Usability of Apps and User Perceptions of mHealth (1091) Mobile Health (mhealth) (3182) Human Factors and Usability Case Studies (900)

Published on in Vol 27 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66432, first published .
Improving Acceptability of mHealth Apps—The Use of the Technology Acceptance Model to Assess the Acceptability of mHealth Apps: Systematic Review

Improving Acceptability of mHealth Apps—The Use of the Technology Acceptance Model to Assess the Acceptability of mHealth Apps: Systematic Review

Improving Acceptability of mHealth Apps—The Use of the Technology Acceptance Model to Assess the Acceptability of mHealth Apps: Systematic Review

Authors of this article:

Ahmer Adnan1 Author Orcid Image ;   Rebecca Eilish Irvine1 Author Orcid Image ;   Allison Williams2 Author Orcid Image ;   Matthew Harris2 Author Orcid Image ;   Grazia Antonacci2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Fritz B, Eppelmann L, Edelmann A, Rohrmann S, Wessa M. How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis. BMC Psychology 2025;13(1) View