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Identifying the Most Autonomy-Supportive Message Frame in Digital Health Communication: A 2x2 Between-Subjects Experiment.
- Source :
-
Journal of medical Internet research [J Med Internet Res] 2019 Oct 30; Vol. 21 (10), pp. e14074. Date of Electronic Publication: 2019 Oct 30. - Publication Year :
- 2019
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Abstract
- Background: The effectiveness of digital health communication may be increased by enhancing autonomy supportiveness.<br />Objective: This study aimed to identify the most autonomy-supportive message frame within an intervention for increasing vegetable intake by testing the effect of the following 2 strategies: (1) using autonomy-supportive language and (2) providing choice.<br />Methods: A Web-based 2 (autonomy-supportive vs controlling language)×2 (choice vs no choice) experiment was conducted among 526 participants, recruited via a research panel. The main outcome measures were perceived autonomy support (measured using the Virtual Care Climate Questionnaire, answered with scores 1 to 5), perceived relevance (measured with one question, answered with scores 1 to 5), and overall evaluation of the intervention (measured with 1 open-ended question, answered with scores 1 to 10).<br />Results: Choice had a significant positive effect on the overall evaluation of the intervention (b=.12; P=.003), whereas for participants with a high need for autonomy, there was a significant positive effect on perceived relevance (b=.13; P=.02). The positive effect of choice on perceived autonomy support approached significance (b=.07; P=.07). No significant effects on any of the three outcomes were observed for language.<br />Conclusions: Results suggest that provision of choice rather than the use of autonomy-supportive language can be an easy-to-implement strategy to increase the effectiveness of digital forms of health communication, especially for people with a high need for autonomy.<br /> (©Eline Suzanne Suzanne Smit, Chamoetal Zeidler, Ken Resnicow, Hein de Vries. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.10.2019.)
Details
- Language :
- English
- ISSN :
- 1438-8871
- Volume :
- 21
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Journal of medical Internet research
- Publication Type :
- Academic Journal
- Accession number :
- 31670693
- Full Text :
- https://doi.org/10.2196/14074