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User-centered preferences for a gait-informed alcohol intoxication app.

Allison Borges1, Celeste Caviness2,3, Ana M Abrantes2,3

  • 1Behavioral Health, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA.

Mhealth
|February 10, 2023
PubMed
Summary

Mobile health (mHealth) apps show promise for monitoring alcohol consumption and reducing related harms. Most users are interested in mHealth technology that infers blood alcohol concentration (BAC) from gait, with preferences varying by age and gender.

Keywords:
blood alcohol concentration (BAC)gait detectionmHealth

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Public Health

Background:

  • mHealth technology offers a potential intervention for alcohol-related consequences.
  • Applications monitoring alcohol use can help reduce risky behaviors.
  • Assessing user acceptability is crucial for the success of such mHealth applications.

Purpose of the Study:

  • To examine user preferences for a novel mHealth application designed to infer blood alcohol concentration (BAC) from gait.
  • To assess the acceptability and feasibility of using gait-based BAC monitoring technology.
  • To explore age and gender differences in user preferences for mHealth alcohol monitoring features.

Main Methods:

  • Survey data from 139 participants (average age 29.8 years, 58% female) were analyzed.
  • Participants reported interest in a gait-based BAC monitoring app and feature control preferences.
  • Data were examined for the overall sample and stratified by age and gender.

Main Results:

  • A majority expressed interest in using an mHealth app to infer BAC from gait.
  • Users desired control over features, including monitoring and data sharing.
  • Adults preferred disabling the BAC monitoring feature, while females favored non-disable notifications and safety features.

Conclusions:

  • Survey results indicate general interest in mHealth technology for passive BAC monitoring.
  • Such applications may be accepted and utilized as interventions to mediate alcohol consumption.
  • mHealth interventions could potentially reduce alcohol-related consequences.