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The design of persuasive prompts to induce behavioural change through an mHealth application for people with depression.
- Source :
- Behaviour & Information Technology; Oct2022, Vol. 41 Issue 12, p2497-2513, 17p, 1 Diagram, 5 Charts, 2 Graphs
- Publication Year :
- 2022
-
Abstract
- The alteration of an individual's lifestyle and the adoption of healthy behaviours have been shown to be effective in combating a majority of the major symptoms of depression. While there are several mHealth applications that use behaviour change to reduce depressive symptoms, they are often not grounded in behaviour change theory and display a lack of understanding regarding the specific factors that lead to behaviour change. Therefore, there is a need to test innovative strategies to tackle the issue. One such strategy is the use of behaviour change theories to design mHealth applications that use persuasive prompts to assist in 'prompting' the user to adopt healthier behaviours. In this paper, we present the design of persuasive prompts and an mHealth application to induce behavioural change, followed by the results of two studies: (i) an acceptability study that tested the acceptability of the persuasive prompts and (ii) a usability study of the mHealth application. The results show that there is a significant difference in which behaviour change theories users prefer based on their level of depression and that overall, users have a positive perception of the application. [ABSTRACT FROM AUTHOR]
- Subjects :
- USER-centered system design
THEORY of reasoned action
MOBILE apps
PERSUASION (Rhetoric)
USER interfaces
RESEARCH methodology
INTERVIEWING
QUANTITATIVE research
SOFTWARE architecture
PATIENTS' attitudes
SURVEYS
MENTAL depression
HEALTH behavior
TRANSTHEORETICAL model of change
QUESTIONNAIRES
SCALE analysis (Psychology)
DESCRIPTIVE statistics
CLASSIFICATION of mental disorders
TELEMEDICINE
BEHAVIOR modification
Subjects
Details
- Language :
- English
- ISSN :
- 0144929X
- Volume :
- 41
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Behaviour & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 159933871
- Full Text :
- https://doi.org/10.1080/0144929X.2021.2006787