A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (SM; n = 185), peer-supported use (PS; n = 186), or a clinically integrated model CI; (n = 187). Across all three groups, the percentage of self-reported heavy drinking days dropped from 38.4% at baseline (95% CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health and quality of life compared to the self-monitoring group (p = 0.011). However, higher attrition rates in the clinically integrated group warrant consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction. This study was prospectively registered at clinicaltrials.gov on 7/03/2019 (NCT04011644).

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Publication Details

Journal
npj Digital Medicine
Published
2024-09-13
DOI
https://doi.org/10.1038/s41746-024-01241-2
Citations
3
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.23

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article

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

Bruce P. Barrett, Alice Pulvermacher, Ming‐Yuan Chih, Qiang Xie et al.
3 citations
npj Digital Medicine
Digital Mental Health Interventions
1.23
article

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder

Bruce P. Barrett, Alice Pulvermacher, Ming‐Yuan Chih, Qiang Xie, Xiang Li, Rachel Lundwall, Linda Park, Randall Brown, Andrew Quanbeck, Samantha Voelker, Katherine Eby
article en
3 citations

Abstract

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (SM; n = 185), peer-supported use (PS; n = 186), or a clinically integrated model CI; (n = 187). Across all three groups, the percentage of self-reported heavy drinking days dropped from 38.4% at baseline (95% CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health and quality of life compared to the self-monitoring group (p = 0.011). However, higher attrition rates in the clinically integrated group warrant consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction. This study was prospectively registered at clinicaltrials.gov on 7/03/2019 (NCT04011644).

npj Digital MedicineVol. 7(1)
University of Kentucky (US), UW Health University Hospital (US), University of Wisconsin Health (US)
National Institute on Alcohol Abuse and Alcoholism
Good health and well-being
Openalex Percentile: Top 19%
Digital Mental Health Interventions
1.23
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A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder — Bruce P. Barrett, Alice Pulvermacher, et al. · npj Digital Medicine (2024) | TGRS Research Map | TGRS