Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Jun 18, 2021
Date Accepted: Oct 24, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
SWiPE: a novel personalised approach bias modification smartphone application to reduce alcohol use among people drinking at hazardous levels: a feasibility, acceptability and preliminary effectiveness study
ABSTRACT
Background:
Background:
Approach Bias Modification (ApBM), a computerised cognitive intervention which trains people to “avoid” alcohol-related images and “approach” neutral/non-alcohol images, reduces the likelihood of relapse when administered during residential alcohol treatment. However, most individuals experiencing alcohol problems do not require, do not seek, or cannot access residential treatment. Smartphone-delivered ApBM could offer an easily-accessible intervention to reduce alcohol consumption which can be personalised (e.g., allowing selection of personally-relevant alcohol and positive training images) and gamified to optimise engagement.
Objective:
Objective:
We examined the feasibility, acceptability and preliminary effectiveness of “SWiPE”, a gamified, personalised alcohol ApBM smartphone app, and explored alcohol consumption and craving outcomes, in people drinking at hazardous levels (AUDIT score of 8+) who wanted to reduce their alcohol use.
Methods:
Methods:
We conducted an open-label trial in which frequency and quantity of alcohol consumption, severity of alcohol dependence, and craving were measured prior to participants downloading SWiPE. Participants (n=1309) were instructed to complete at least 2 sessions per week for 4 weeks. Recruitment and completion rates were indicators of feasibility. Functionality, aesthetics, and quality ratings were indicators of acceptability. Participants were prompted to report frequency and quantity of alcohol consumption each week during training, and 1-month after training, and completed measures of craving and dependence after 4-weeks of training.
Results:
Results:
We recruited 1309 participants (mean age 47.0 years (SD 10.0); 57.9% female; mean AUDIT score 21.8 (SD 6.5)) over a 6-month period. Participants completed a median of 5 sessions (IQR 2-9), 409 (31.2%) completed at least 8 sessions and 455 (34.8%) completed the post-training survey. Mean Mobile Application Rating Scale scores were 4.4 (SD 0.5) for functionality, 4.2 (SD 0.5) for aesthetics and 3.4 (SD 0.8) for subjective quality. Among those who completed post-training assessment, mean past-week drinking days reduced from 5.1 (SD 2.0) pre-training to 4.2 (SD 2.3) in week 4 (t454=7.87; P<.001). Mean past-week standard drinks reduced from 32.8 (SD 22.1) to 24.7 (SD 20.1; t454=8.58; P<.001). Mean Craving Experience Questionnaire frequency scores reduced from 4.5 (SD 2.0) to 2.8 (SD 1.8; t435=19.39; P<.001). Severity of Dependence scores reduced from 7.7 (SD 3.0) to 6.0 (SD 3.2; t435=12.44; P<.001). In the 254 (19.4%) participants who completed a 1-month follow-up, mean past-week drinking days was 3.9 (SD 2.5) and mean standard drinks was 23.9 (SD 20.7), both significantly lower than at baseline (P<0.001).
Conclusions:
Conclusion: The findings suggest SWiPE is feasible, acceptable and may be effective at reducing alcohol consumption and craving in a predominantly non-treatment seeking sample of adult Australians drinking at hazardous levels. SWiPE’s efficacy, relative to a control condition, now needs establishing in a randomised controlled trial. Smartphone-delivered personalised ApBM has the potential to be a highly scalable, widely-accessible support tool for reducing alcohol use.
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