Optimizing an mHealth Intervention to Improve Uptake and Adherence of the HIV Pre-exposure Prophylaxis (PrEP) in Vulnerable Adolescents and Emerging Adults
Optimizing an mHealth Intervention to Improve Uptake and Adherence of the HIV Pre-exposure Prophylaxis (PrEP) in Vulnerable Adolescents and Emerging Adults
The main aim of this study is to develop technology-based interventions to improve HIV pre-exposure prophylaxis (PrEP) uptake and adherence among Thai young transgender women.
Motivational Enhancement System for Adherence (MESA) is a computer-based motivation invention, based on the Information-Motivation-Behavioral Skills (IMB) model and Motivational Interviewing (MI) principles, used to promote adherence among HIV-positive youth initiating antiretroviral treatment. In this study, the team will adapt and develop MESA to focus on PrEP uptake and adherence, which will be called Motivational Enhancement System for PrEP Uptake and Adherence (MES-PrEP). YaCool is a mobile application developed to support transgender women self-management of gender and sexual health, including PrEP use.
In Aim 1, the investigators will begin with needs assessment to evaluate intervention efficacy by exploring the barriers and facilitators of PrEP uptake and adherence through in-depth interviews with transgender women and community health workers. The two interventions will be developed and refined based upon the inputs from transgender women through focus group discussion and community advisory board.
In Aim 2, the investigators will conduct a Multiphase Optimization Strategy (MOST) design-based trial to evaluate the feasibility, acceptability, and preliminary efficacy of MES-PrEP and Enhanced YaCool and to determine whether MES-PrEP works better when combined with Enhanced YaCool to improve PrEP use. Eligible transgender women will be randomized to one of the four experimental conditions, and followed for 12 months with assessments at baseline, month 1, 3, 6, 9 and 12.
Aim 1:
Transgender women participants
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Healthcare providers
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Aim 2:
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