Enhancing SARS-Co-V-2 Rapid Testing Acceptance in Latinx Communities

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This project employs a data-informed approach for implementing preventive interventions designed to advance health equity and ameliorate health disparities among vulnerable populations. Building on the successful Phase I and II projects, we will further tailor the Promotores de Salud COVID-19 evidence-based health promotion intervention to experimentally evaluate a brief behavioral self-affirming implementation intention (SAII) intervention; an approach that is evidence-based for increasing acceptance of health messaging, increasing intentions to change, increasing health promoting behaviors, and decreasing psychological distress. We hypothesize (a) the SAII will increase SARS-CoV-2 rapid testing, testing and vaccine acceptance, and health outcomes through enhancing health promotion messaging, reducing stigma, and affirming self-perceptions; and (b) the SAII will serve as a buffer that moderates (lowers) negative effects of COVID-19-related stressors and discrimination on testing and health outcomes. The key targets of the intervention will be structural social determinants of health (i.e., discrimination and mistrust) as barriers to testing acceptance. Project aims are: (1) To pilot test rapid SARS-CoV-2 test distribution and an English and Spanish version of the SAII intervention. The culturally tailored SAII intervention will be offered in Spanish and English and can be administered orally and does not require English language proficiency or literacy; and (2) conduct a clustered randomized trial (CRT) testing a health equity effectiveness hypothesis. We will use a 2- group × 2-time (pre-post) design to randomly assign 400 participants sampled from Mexican Consulate event attendees to either an SAII + Promotores de Salud condition or to a control condition (the Promotores de Salud intervention only) and test (a) hypothesized main effects of the intervention on testing and vaccine acceptance and health outcomes, and (b) hypothesized buffering effects of COVID-19 stressors and discrimination on testing and health outcomes. Linear and generalizable multilevel structural equation modeling will be specified for evaluation. The study design is powered to detect moderate main effects (ES = .30) and moderating effects of the SAII intervention.