YPLWH (N = 160, 136 after 15% attrition, 18-29 years of age, estimated to include 73% male, 26% female, 1% transgender, 70% racial and ethnic minorities) will be asked to wear a wrist alcohol biosensor (BACtrack Skyn) for 30 days and report their alcohol use using daily ecological momentary assessment (EMA). A subset of the sample will also be micro-randomized twice daily to test two empirically-based engagement strategies - reciprocity and personalized feedback. Data from the 30-day MRT will be used to (a) develop and validate the algorithm for alcohol detection based on Skyn data; and (b) address scientific questions concerning which engagement strategy works best, for whom and under what conditions in terms of facilitating proximal engagement in biosensor wearing. We will also collect alcohol biomarker (i.e., PEth) at 1-month follow up.
In this study, participants will be asked to wear a wrist alcohol biosensor for 30 days and report alcohol use using a ecological momentary assessment (EMA) app. A subset of the sample will be micro-randomized to test two engagement strategies--reciprocity and personalized feedback via the eWrapper app to promote their engagement with the biosensor.