Personalized Digital Interventions Showed no Impact on Risky Drinking in Young Adults: A Pilot Randomized Controlled Trial

Alcohol Alcohol. 2017 Nov 1;52(6):671-676. doi: 10.1093/alcalc/agx051.

Abstract

Aim: To assess the effectiveness of two personalized digital interventions (OneTooMany and Drinks Meter) compared to controls.

Method: Randomized controlled trial (AEARCTR-0,001,082). Volunteers for the study, aged 18-30, were randomly allocated to one of two interventions or one of two control groups and were followed up 4 weeks later. Primary outcomes were AUDIT-C, drinking harms and pre-loading. Drinks Meter provided participants with brief screening and advice for alcohol in addition to normative feedback, information on calories consumed and money spent. OneTooMany presented a series of socially embarrassing scenarios that may occur when drinking, and participants were scored according to if/how recently they had been experienced.

Results: The study failed to recruit and obtain sufficient follow-up data to reach a prior estimated power for detecting a difference between groups and there was no indication in the analysable sample of 402 subjects of a difference on the primary outcome measures (Drinks Meter; AUDIT-C IRR = 0.98 (0.89-1.09); Pre-loading IRR = 1.01 (0.95-1.07); Harms IRR = 0.97 (0.79-1.20); OneTooMany; AUDIT-C IRR = 0.96 (0.86-1.07); Pre-loading IRR = 0.99 (0.93-1.06); Harms IRR = 1.16 (0.94-1.43).

Conclusion: Further research is needed on the efficacy of such instruments and their ingredients. However, recruitment and follow-up are a challenge.

Publication types

  • Randomized Controlled Trial

MeSH terms

  • Adolescent
  • Adult
  • Alcohol Drinking / prevention & control*
  • Alcohol Drinking / psychology*
  • Early Medical Intervention / methods
  • Early Medical Intervention / statistics & numerical data*
  • Female
  • Follow-Up Studies
  • Health Risk Behaviors*
  • Humans
  • Internet / statistics & numerical data
  • Male
  • Mobile Applications / statistics & numerical data*
  • Pilot Projects
  • Smartphone / statistics & numerical data*
  • Young Adult