Effectiveness and treatment moderators of internet interventions for adult problem drinking: An individual patient data meta-analysis of 19 randomised controlled trials.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_0898943B7494
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Effectiveness and treatment moderators of internet interventions for adult problem drinking: An individual patient data meta-analysis of 19 randomised controlled trials.
Journal
PLoS medicine
Author(s)
Riper H., Hoogendoorn A., Cuijpers P., Karyotaki E., Boumparis N., Mira A., Andersson G., Berman A.H., Bertholet N., Bischof G., Blankers M., Boon B., Boß L., Brendryen H., Cunningham J., Ebert D., Hansen A., Hester R., Khadjesari Z., Kramer J., Murray E., Postel M., Schulz D., Sinadinovic K., Suffoletto B., Sundström C., de Vries H., Wallace P., Wiers R.W., Smit J.H.
ISSN
1549-1676 (Electronic)
ISSN-L
1549-1277
Publication state
Published
Issued date
12/2018
Peer-reviewed
Oui
Volume
15
Number
12
Pages
e1002714
Language
english
Notes
Publication types: Journal Article ; Meta-Analysis
Publication Status: epublish
Abstract
Face-to-face brief interventions for problem drinking are effective, but they have found limited implementation in routine care and the community. Internet-based interventions could overcome this treatment gap. We investigated effectiveness and moderators of treatment outcomes in internet-based interventions for adult problem drinking (iAIs).
Systematic searches were performed in medical and psychological databases to 31 December 2016. A one-stage individual patient data meta-analysis (IPDMA) was conducted with a linear mixed model complete-case approach, using baseline and first follow-up data. The primary outcome measure was mean weekly alcohol consumption in standard units (SUs, 10 grams of ethanol). Secondary outcome was treatment response (TR), defined as less than 14/21 SUs for women/men weekly. Putative participant, intervention, and study moderators were included. Robustness was verified in three sensitivity analyses: a two-stage IPDMA, a one-stage IPDMA using multiple imputation, and a missing-not-at-random (MNAR) analysis. We obtained baseline data for 14,198 adult participants (19 randomised controlled trials [RCTs], mean age 40.7 [SD = 13.2], 47.6% women). Their baseline mean weekly alcohol consumption was 38.1 SUs (SD = 26.9). Most were regular problem drinkers (80.1%, SUs 44.7, SD = 26.4) and 19.9% (SUs 11.9, SD = 4.1) were binge-only drinkers. About one third were heavy drinkers, meaning that women/men consumed, respectively, more than 35/50 SUs of alcohol at baseline (34.2%, SUs 65.9, SD = 27.1). Post-intervention data were available for 8,095 participants. Compared with controls, iAI participants showed a greater mean weekly decrease at follow-up of 5.02 SUs (95% CI -7.57 to -2.48, p < 0.001) and a higher rate of TR (odds ratio [OR] 2.20, 95% CI 1.63-2.95, p < 0.001, number needed to treat [NNT] = 4.15, 95% CI 3.06-6.62). Persons above age 55 showed higher TR than their younger counterparts (OR = 1.66, 95% CI 1.21-2.27, p = 0.002). Drinking profiles were not significantly associated with treatment outcomes. Human-supported interventions were superior to fully automated ones on both outcome measures (comparative reduction: -6.78 SUs, 95% CI -12.11 to -1.45, p = 0.013; TR: OR = 2.23, 95% CI 1.22-4.08, p = 0.009). Participants treated in iAIs based on personalised normative feedback (PNF) alone were significantly less likely to sustain low-risk drinking at follow-up than those in iAIs based on integrated therapeutic principles (OR = 0.52, 95% CI 0.29-0.93, p = 0.029). The use of waitlist control in RCTs was associated with significantly better treatment outcomes than the use of other types of control (comparative reduction: -9.27 SUs, 95% CI -13.97 to -4.57, p < 0.001; TR: OR = 3.74, 95% CI 2.13-6.53, p < 0.001). The overall quality of the RCTs was high; a major limitation included high study dropout (43%). Sensitivity analyses confirmed the robustness of our primary analyses.
To our knowledge, this is the first IPDMA on internet-based interventions that has shown them to be effective in curbing various patterns of adult problem drinking in both community and healthcare settings. Waitlist control may be conducive to inflation of treatment outcomes.
Keywords
Adult, Alcohol Drinking/epidemiology, Alcohol Drinking/psychology, Alcohol Drinking/therapy, Alcoholism/epidemiology, Alcoholism/psychology, Alcoholism/therapy, Data Analysis, Female, Humans, Internet, Male, Randomized Controlled Trials as Topic/methods, Therapy, Computer-Assisted/methods, Treatment Outcome
Pubmed
Web of science
Open Access
Yes
Create date
14/01/2019 17:25
Last modification date
20/08/2019 12:30
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