Using message framing to motivate HIV testing among low-income, ethnic minority women.
Abstract
This study compared the effectiveness of 4 videotaped educational programs designed to motivate HIV testing among low-income, ethnic minority women. Four hundred eighty women were assigned randomly to watch one of 2 gain-framed or 2 loss-framed videos. Consistent with prospect theory, participants' perceptions of the certainty of the outcome of an HIV test moderated the effects of framing on self-reported testing behavior 6 months after video exposure. Among participants who reported being certain of the test's outcome, those who saw a gain-framed video reported a higher rate of testing than those who saw a loss-framed message. Among women who perceived the outcome of HIV testing as relatively uncertain, gain- and loss-framed videos led to similar rates of self-reported testing, with some advantage for the loss-framed message.
Cites (4)
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- In search of how people change: Applications to addictive behaviors.Prochaska, James O., DiClemente, Carlo C., Norcross, John C. · 1992 · American Psychologist
- The Systematic Influence of Gain-and Loss-Framed Messages on Interest in and Use of Different Types of Health BehaviorRothman, Alexander J., Martino, Steven C., Bedell, Brian T., Detweiler, Jerusha B., Salovey, Peter · 1999 · Personality and Social Psychology Bulletin
Cited by (1)
- More Accounts, Fewer Links: How Algorithmic Curation Impacts Media Exposure in Twitter TimelinesBandy, Jack, Diakopoulos, Nicholas · 2021 · Proceedings of the ACM on Human-Computer Interaction
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Using message framing to motivate HIV testing among low-income, ethnic minority women. https://app.cochat.ai/papers/10.1037//0278-6133.22.1.60
- The paper
- Apanovitch, A. M., McCarthy, D., & Salovey, P. (2003). Using message framing to motivate HIV testing among low-income, ethnic minority women. Health Psychology. https://doi.org/10.1037//0278-6133.22.1.60
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.