Evidence map›Paper›PMID 31566787›Full record

SynthesisAlcoholism, clinical and experimental research2019

Technology-Delivered Cognitive-Behavioral Interventions for Alcohol Use: A Meta-Analysis.

Brian D Kiluk, Lara A Ray, Justin Walthers, Michael Bernstein, Jeffery S Tonigan, Molly Magill

Erratum issuedOpen access · greenAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Alcoholism, clinical and experimental research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Best Practices for Developing a Diabetes mHealth App.Journal of diabetes science and technology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Brian D KilukFrom the, Yale University School of Medicine, (BDK), New Haven, Connecticut.ORCID 0000-0002-1175-7979
Lara A RayUniversity of California at Los Angeles, (LAR), Los Angeles, California.ORCID 0000-0002-5734-9444
Justin WalthersCenter for Alcohol and Addiction Studies, (JW, MB, MM), Brown University, Providence, Rhode Island.
Michael BernsteinCenter for Alcohol and Addiction Studies, (JW, MB, MM), Brown University, Providence, Rhode Island.
Jeffery S ToniganUniversity of New Mexico, (JST), Albuquerque, New Mexico.
Molly MagillCenter for Alcohol and Addiction Studies, (JW, MB, MM), Brown University, Providence, Rhode Island.
Brown University · USUniversity of California, Los Angeles · USUniversity of New Mexico · USYale University · US

Funding

Efficacy and Mechanisms of CBT4CBT for Alcohol Use DisordersR01AA024122 · NIAAA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2016 to 2020
$2.7M
A Meta-Analysis of CBT/RP Efficacy, Moderated Efficacy, and MediationR21AA026006 · NIAAA · BROWN UNIVERSITY · PI MAGILL, MOLLY · 2017 to 2018
$457k
NIAAA NIH HHS R01 AA024122NIAAA NIH HHS R21 AA026006
6 · The paper itself

Abstract

backgroundCognitive-behavioral therapy (CBT) has long-standing evidence for efficacy in the treatment of alcohol use, yet implementation in clinical practice has been challenging. Delivery of CBT through technology-based platforms, such as web-based programs and mobile applications, has the potential to provide widespread access to this evidence-based intervention. While there have been reviews indicating the efficacy of technology-based delivery of CBT for various psychiatric conditions, none have focused on efficacy for alcohol use. The current meta-analysis was conducted to fill this research gap.

methodsDescriptive data were used to characterize the nature of the literature on technology-delivered, CBT-based interventions for alcohol use ("CBT Tech"). Inverse-variance-weighted effect sizes were calculated, and random effects, effect sizes were pooled in 4 subgroups.

resultsFifteen published trials conducted primarily with at-risk or heavy drinkers were identified. Of these studies, 60% explicitly targeted alcohol use moderation. The content of CBT Tech programs varied, ranging from 4 to 62 sessions/exercises, with many programs combining elements of motivational interviewing (47%). With respect to efficacy, CBT Tech as a stand-alone treatment in contrast to a minimal treatment control showed a positive and statistically significant, albeit small effect (g = 0.20: 95% CI = 0.22, 0.38, k

conclusionsThese results show a benefit for technology-delivered, CBT-based interventions as a stand-alone therapy for heavy drinking or as an addition to usual care in specialty substance use settings.

Indexed as

AlcoholismCognitive Behavioral TherapyHumansTherapy, Computer-AssistedAlcohol TreatmentCognitive-BehavioralComputer-Based TreatmentMeta-AnalysisTechnology-Based Treatment

Identifiers

PMID31566787
PMCPMC6824956
OpenAlexW2978113098

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.