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Using a generalized estimating equations (GEE) model for binary longitudinal data, we estimated that a sample size of 107 participants in each group will yield at least 80% power to detect the difference mentioned before. After adjusting for a 15% attrition rate, the final sample size needed will be 124 in each group (372 total).
JMIR Res Protoc 2025;14:e69903
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M-Cubed, an adaptation of Health Mindr that provides pop-up HIV prevention messaging, demonstrated efficacy to increase HIV testing and Pr EP uptake among urban MSM [17].
There is a need to understand which components of app-based HIV prevention are necessary to promote prevention to inform future implementation. A standard feature of most app-based HIV prevention interventions is access to free HIV and STI self-test kits [30-32].
JMIR Res Protoc 2025;14:e69540
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