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AllyQuest (AQ) is a theory-informed smart phone application that supports HIV medication adherence for young men who have sex with men and young transgender women who have sex with men (YMSM/YTW) via behavior change, social support, and game-based mechanics. This study aims to evaluate the feasibility and acceptability of AQ and AQ plus medication adherence counseling in a Sequential Multiple Assignment Randomization Trial.
Full description
AllyQuest (AQ) is a theory-informed smart phone application that supports HIV medication adherence for young men who have sex with men and young transgender women who have sex with men (YMSM/YTW) via behavior change, social support, and game-based mechanics. This study aims to evaluate the feasibility and acceptability of AQ and AQ plus medication adherence counseling in a Sequential Multiple Assignment Randomization Trial.
AllyQuest (AQ) is a smart phone application for Android and iOS (Apple) that supports HIV medication adherence. Intervention development was guided by health behavior change theories including Social Cognitive Theory (SCT), narrative communication (e.g. storytelling), and the Fogg Behavioral Model (FBM) of persuasive technology. AQ addresses key principles of SCT including: (1) observational learning by doing daily activities; (2) modeling and vicarious experiences (observing and participating in Daily Discussions, exploration of narrative "choose-your-own-adventure" stories); (3) self-efficacy and verbal persuasion from expert sources (multi-media knowledge center, tailored messages) and (4) reinforcements (virtual rewards, financial incentives, achievements). AQ incorporates principles of the FBM including triggers via app notifications and content, increasing ability via knowledge articles and identifying steps toward behavioral goals, and motivation via social support, rewards, goal setting, and achievement.
This study will test AQ and an enhanced version of AQ (AQ+) that adds two-way text based Next Step Counseling (NSC) for medication adherence. A sequential multiple assignment randomized trial (SMART) is a study design suited to development of adaptive interventions. An adaptive intervention is a sequence of decision rules that specify how the intensity or type of treatment should change depending on the patient's needs rather than applying a "one size fits all" approach. In a SMART, participants are randomized to an initial treatment, and, depending on how they respond, may be assigned or randomized to a new type or intensity of treatment. SMARTs are an efficient and rigorous way to study how the type or dose of treatment should be adjusted based on subject characteristics or response and thus maximize clinical utility and real-world applicability. In this SMART, participants are initially randomized to medication adherence support with one of two intervention approaches (AQ or AQ+NSC). At 3 months, based on protocol defined intervention responsiveness, participants are re-randomized or reassigned to continue their initial intervention approach or to change to the other intervention approach for months 4 - 6 of the trial.
Participants will complete viral load (VL) and web-based computer assisted survey instrument (CASI) assessments at baseline and 3- and 6- months. A sample of 20-25 users will complete a qualitative exit interview to evaluate their experience using AQ and AQ+ and their experience with the escalation/de-escalation intervention strategies.
The study will assess intervention feasibility, acceptability, and preliminary efficacy including: 1) frequency and total time spent on each AQ feature; 2) in-app daily adherence reports; and 3) user-contributed content (adherence counseling chat logs, user-entered daily discussion content and adherence strategies). Analyses will determine which treatment strategies embedded in the SMART (escalation, de-escalation, and maintenance combinations) result in sustained intervention app engagement, self-reported adherence, and viral suppression.
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71 participants in 4 patient groups
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Data sourced from clinicaltrials.gov
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