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Persuasive technologies design for mental and behavioral health platforms: A scoping literature review.

Authors :
Idrees AR
Kraft R
Mutter A
Baumeister H
Reichert M
Pryss R
Source :
PLOS digital health [PLOS Digit Health] 2024 May 16; Vol. 3 (5), pp. e0000498. Date of Electronic Publication: 2024 May 16 (Print Publication: 2024).
Publication Year :
2024

Abstract

This review investigates persuasive design frameworks within eHealth, concentrating on methodologies, their prevalence in mental and behavioral health applications, and identifying current research gaps. An extensive search was conducted across 8 databases, focusing on English publications with full text available. The search prioritized primary research articles, post-2011 applications, and eHealth platforms emphasizing treatment or support. The inclusion process was iterative, involving multiple authors, and relied on detailed criteria to ensure the relevance and contemporaneity of selected works. The final review set comprised 161 articles, providing an overview of persuasive design frameworks in eHealth. The review highlights the state of the art in the domain, emphasizing the utilization and effectiveness of these frameworks in eHealth platforms. This review details the restricted adoption of persuasive design frameworks within the field of eHealth, particularly in the mental and behavioral sectors. Predominant gaps include the scarcity of comparative evaluations, the underrepresentation of tailored interventions, and the unclear influence of persuasive components on user experience. There is a notable requirement for further scrutiny and refinement of persuasive design frameworks. Addressing these concerns promises a more substantial foundation for persuasive design in eHealth, potentially enhancing user commitment and platform efficiency.<br />Competing Interests: The authors have declared that no competing interests exist.<br /> (Copyright: © 2024 Idrees et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Details

Language :
English
ISSN :
2767-3170
Volume :
3
Issue :
5
Database :
MEDLINE
Journal :
PLOS digital health
Publication Type :
Academic Journal
Accession number :
38753889
Full Text :
https://doi.org/10.1371/journal.pdig.0000498