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Dataset Information

Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study.


ABSTRACT:

Background

Personal sensing may improve digital therapeutics for mental health care by facilitating early screening, symptom monitoring, risk prediction, and personalized adaptive interventions. However, further development and the use of personal sensing requires a better understanding of its acceptability to people targeted for these applications.

Objective

We aimed to assess the acceptability of active and passive personal sensing methods in a sample of people with moderate to severe alcohol use disorder using both behavioral and self-report measures. This sample was recruited as part of a larger grant-funded project to develop a machine learning algorithm to predict lapses.

Methods

Participants (N=154; n=77, 50% female; mean age 41, SD 11.9 years; n=134, 87% White

SUBMITTER: Wyant K 

PROVIDER: S-EPMC10495858 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature