Abstract
AbstractBackground and AimsDigital interventions are effective for reducing alcohol consumption but evidence is limited regarding smartphone apps. Drink Less is a theory- and evidence-informed app to help people reduce their alcohol consumption that has been refined in terms of its content and design for usability across the socio-demographic spectrum. We aim to evaluate the effectiveness and cost-effectiveness of recommending Drink Less at reducing alcohol consumption compared with usual digital care.DesignTwo-arm individually randomised controlled trial.SettingOnline trial in the UK.ParticipantsHazardous or harmful drinkers (Alcohol Use Disorders Identification Test score >=8) aged 18+, and want to drink less alcohol (n=5,562). Participants will be recruited from July 2020 to May 2022 using multiple strategies with a focus on remote digital methods.Intervention and comparatorParticipants will be randomised to receive either an email recommending that they use Drink Less (intervention) or view the NHS webpage on alcohol advice (comparator).MeasurementsThe primary outcome is change in self-reported weekly alcohol consumption between baseline and 6-month follow-up. Secondary outcomes include the proportion of hazardous drinkers; alcohol-related problems and injury; health-related quality of life, and use of health services assessed at 6-month follow-up. Effectiveness will be examined with one-way ANCOVAs, adjusting for baseline alcohol consumption, and using an intention-to-treat approach. A mixed-methods process evaluation will assess engagement, acceptability and mechanism of action. Economic evaluations will be conducted using both a short- and longer-term time horizon.CommentsThis study will establish the effectiveness and cost-effectiveness of the Drink Less app at reducing alcohol consumption among hazardous and harmful adult drinkers and will be the first RCT of an alcohol reduction app for the general population in the UK. This study will inform the decision on whether it is worth investing resources in large-scale implementation.
Publisher
Cold Spring Harbor Laboratory