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A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
Published on: January 5, 2018
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Brief intervention for hazardous drinking delivered using text messaging: a pilot randomised controlled trial from
Abhijit Nadkarni1,2, Danielle Fernandes2, Urvita Bhatia2
1Centre for Global Mental Health, London School of Hygiene & Tropical Medicine, London, UK.
Public Health Nutrition
|February 18, 2022
Summary
This pilot study found mobile-based brief interventions (BI) feasible for hazardous drinkers. Both mobile and face-to-face BI showed promise compared to controls, warranting further trials.
Area of Science:
- Public Health
- Behavioral Science
- Digital Health
Background:
- Hazardous alcohol consumption is a significant public health concern.
- Brief interventions (BI) are effective but require scalable delivery methods.
- Mobile health (mHealth) offers potential for widespread intervention delivery.
Purpose of the Study:
- Evaluate the feasibility and acceptability of a mobile-based BI for hazardous drinking.
- Generate preliminary data on the impact of mobile BI.
- Refine procedures for a future definitive randomized controlled trial.
Main Methods:
- A parallel, three-arm, single-blind, individually randomized controlled pilot trial was conducted.
- Participants (adult hazardous drinkers) were randomized to mobile BI, face-to-face BI, or an information leaflet.
- Data were collected from educational institutions, workplaces, and primary care centers.
Main Results:
- Seventy-four participants were randomized; 64.9% completed follow-up.
- No significant differences were observed between arms for overall drinking outcome changes.
- Mobile and face-to-face BI were superior to the control for reducing heavy drinking days and weekly ethanol consumption.
Conclusions:
- The mobile-based BI demonstrated feasibility and acceptability among hazardous drinkers.
- Preliminary results suggest mobile BI is a promising intervention for reducing alcohol consumption.
- These findings support a definitive randomized controlled trial to confirm efficacy and scalability in low-resource settings.
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