Evidence map›Paper›PMID 30139724›Full record

SynthesisJournal of medical Internet research2018

Feasibility and Effects of Digital Interventions to Support People in Recovery From Substance Use Disorders: Systematic Review.

Sverre Nesvåg, James R McKay

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

71 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  6. Digital Help for Substance Users (SU): A Systematic Review.International journal of environmental research and public health · 2022
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sverre NesvågCentre for Alcohol and Drug Research, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0001-8407-192X
James R McKayCentre for Alcohol and Drug Research, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0001-5876-1687

Funding

Impact of enhancements to smartphone-based continuing care for alcohol dependenceR01AA022595 · NIAAA · UNIVERSITY OF PENNSYLVANIA · PI GUSTAFSON, DAVID H, MCKAY, JAMES R. · 2014 to 2018
$3.3M
Adaptive Treatment Models for the Management of Drug Use DisordersK24DA029062 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI MCKAY, JAMES R. · 2010 to 2021
$1.6M
NIAAA NIH HHS R01 AA022595NIDA NIH HHS K24 DA029062
6 · The paper itself

Abstract

backgroundThe development and evaluation of digital interventions aimed at preventing or treating substance use-related problems and disorders is a rapidly growing field. Previous reviews of such interventions reveal a large and complex picture with regard to targeted users, use, and efficacy.

objectiveThe objective of this review was to investigate the feasibility and effects of interventions developed specifically for digital platforms. These interventions are focused on supporting people in recovery from substance use disorders by helping them achieve their substance use goals and develop a more satisfying life situation.

methodsThe review is based on a systematic search in MEDLINE, Embase, PsycInfo, and Cochrane Library databases. Of the 1149 identified articles, 722 were excluded as obviously not relevant. Of the remaining articles, 21 were found to be previous reviews, 269 were on interventions aimed at reducing hazardous alcohol or cannabis use, and 94 were on digitized versions of standard treatment methods. The remaining 43 articles were all read in full and systematically scored by both authors.

resultsThe 43 articles cover 28 unique interventions, of which 33 have been published after 2013. The interventions are aimed at different target groups (defined by age, substance, or comorbidity). Based on the number of features or modules, the interventions can be categorized as simple or complex. Fourteen of the 18 simple interventions and 9 of the 10 complex interventions have been studied with quantitative controlled methodologies. Thirteen of the 18 simple interventions are integrated in other treatment or support systems, mainly delivered as mobile phone apps, while 6 of the 10 complex interventions are designed as stand-alone interventions, most often delivered on a platform combining desktop/Web and mobile phone technologies. The interventions were generally easy to implement, but in most cases the implementation of the complex interventions was found to be dependent on sustained organizational support. Between 70% and 90% of the participants found the interventions to be useful and easy to use. The rates of sustained use were also generally high, except for simple interventions with an open internet-based recruitment and some information and education modules of the complex interventions. Across all interventions, slightly more than half (55%) of the studies with control groups generated positive findings on 1 or more substance use outcomes, with 57% of the interventions also found to be efficacious in 1 or more studies. In the positive studies, effects were typically in the small to moderate range, with a few studies yielding larger effects. Largely due to the inclusion of stronger control conditions, studies of simple interventions were less likely to produce positive effects.

conclusionsThe digital interventions included in this review are in general feasible but are not consistently effective in helping people in recovery from substance use disorder reduce their substance use or achieving other recovery goals.

Indexed as

Cell PhoneFeasibility StudiesHumansInternetMobile ApplicationsSubstance-Related Disordersdigital interventionseffectsfeasibilityrecovery supportsubstance use disorders

Identifiers

PMID30139724
PMCPMC6127498

What OpenQuestion holds

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LicenceCC BY
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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.