Participatory Design of a Web-Based HIV Oral Self-Testing Infographic Experiment (HOTIE) for Emerging Adult Sexual Minority Men of Color: A Mixed Methods Randomized Control Trial

S Raquel Ramos, David T Lardier Jr, Keosha T Bond, Donte T Boyd, Olivia M O'Hare, LaRon E Nelson, Barbara J Guthrie, Trace Kershaw, S Raquel Ramos, David T Lardier Jr, Keosha T Bond, Donte T Boyd, Olivia M O'Hare, LaRon E Nelson, Barbara J Guthrie, Trace Kershaw

Abstract

Health communication is a key health promotion approach for translating research findings into actionable information. The purpose of this study was to use participatory design to create and then test the usability and comprehension of an HIV self-testing infographic in a sample of 322 emerging adult, sexual minority men of color. Our study objectives addressed three challenges to HIV self-testing: (1) correct usage of the test stick, (2) understanding the number of minutes to wait before reading the result, and (3) how to correctly interpret a negative or a positive HIV result. This study was a two-phase, sequential, mixed methods, pilot, online, randomized controlled trial. Results suggested a significant mean difference between the control and intervention groups on HIV self-testing knowledge, with the control group outperforming the intervention group. However, two-thirds or better of the participants in the intervention group were able to comprehend the three critical steps to HIV self-testing. This was a promising finding that has resulted in the authors' development of additional recommendations for using participatory design for visual aid development in HIV prevention research. Participatory design of an HIV self-testing infographic is a rigorous approach, as a health communication strategy, to address public health priorities.

Keywords: HIV; consumer health informatics; health communication; health literacy; participatory design; sexual and gender minorities.

Conflict of interest statement

The authors declare no potential competing interests.

Figures

Figure 1
Figure 1
HIV self-testing infographic.
Figure 2
Figure 2
Percentage distribution of accuracy of oral HIV self-testing knowledge (in percentages) between experimental (n = 161) and control groups (n = 161).
Figure 3
Figure 3
Bar chart display of experimental group participant responses on the feasibility and acceptability on the oral HIV self-testing infographic questionnaire (n = 161).

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