Evidence map›Paper›PMID 34514668›Full record

SynthesisAddiction (Abingdon, England)2022

Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review.

Olga Perski, Emily T Hébert, Felix Naughton, Eric B Hekler, Jamie Brown, Michael S Businelle

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06783907 (Technological-based Personalized Care Intervention for Supporting Older People With Diabetes Mellitus), which is not on this map. Cited by 101 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed, 9 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.

NCT06783907 nacompletednot on this mapstarted 2023, after this paper: background citation

Technological-based Personalized Care Intervention for Supporting Older People With Diabetes Mellitus

TypeinterventionalSponsorHong Kong Metropolitan UniversityRan2023 to 2025Enrolled60ConditionsDiabetes MellitusArmsNon-invasive blood glucose monitoring, Traditional blood glucose monitoring
3 · Its place in the literature

Who cites it

101 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  5. Just-in-Time Adaptive Interventions for Adolescent and Young Adult Substance Use: A Systematic Review.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2025
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  18. Effects of behavioral interventions on stress reactivity in adults with substance use disorders.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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  20. An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial

41 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

6 authors.

Olga PerskiDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0003-3285-3174
Emily T HébertUniversity of Texas Health Science Center (UTHealth) School of Public Health, Austin, TX, USA.ORCID 0000-0001-5922-164X
Felix NaughtonBehavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, UK.ORCID 0000-0001-9790-2796
Eric B HeklerHerbert Wertheim School of Public Health and Human Longevity (HWSPH), University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0002-7434-0775
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, UK.ORCID 0000-0002-2797-5428
Michael S BusinelleTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.ORCID 0000-0002-9038-2238

Funding

Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking CessationR00DA046564 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HEBERT, EMILY TAYLOR · 2021 to 2023
$747k
Using Machine Learning to Develop Just-in-Time Adaptive Interventions for Smoking CessationK99DA046564 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HEBERT, EMILY TAYLOR · 2019 to 2020
$180k
Cancer Research UK 22962Cancer Research UK C1417/A22962NIDA NIH HHS K99 DA046564NIDA NIH HHS R00 DA046564
6 · The paper itself

Abstract

BACKGROUND AND

aimsLapse risk when trying to stop or reduce harmful substance use is idiosyncratic, dynamic and multi-factorial. Just-in-time adaptive interventions (JITAIs) aim to deliver tailored support at moments of need or opportunity. We aimed to synthesize evidence on decision points, tailoring variables, intervention options, decision rules, study designs, user engagement and effectiveness of technology-mediated JITAIs for reducing harmful substance use.

methodsSystematic review of empirical studies of any design with a narrative synthesis. We searched Ovid MEDLINE, Embase, PsycINFO, Web of Science, the ACM Digital Library, the IEEE Digital Library, ClinicalTrials.gov, the ISRCTN register and dblp using terms related to substance use/mHealth/JITAIs. Outcomes were user engagement and intervention effectiveness. Study quality was assessed with the mHealth Evidence Reporting and Assessment checklist.

findingsWe included 17 reports of 14 unique studies, including two randomized controlled trials. JITAIs targeted alcohol (S = 7, n = 120 520), tobacco (S = 4, n = 187), cannabis (S = 2, n = 97) and a combination of alcohol and illicit substance use (S = 1, n = 63), and primarily relied on active measurement and static (i.e. time-invariant) decision rules to deliver support tailored to micro-scale changes in mood or urges. Two studies used data from prior participants and four drew upon theory to devise decision rules. Engagement with available JITAIs was moderate-to-high and evidence of effectiveness was mixed. Due to substantial heterogeneity in study designs and outcome variables assessed, no meta-analysis was performed. Many studies reported insufficient detail on JITAI infrastructure, content, development costs and data security.

conclusionsCurrent implementations of just-in-time adaptive interventions (JITAIs) for reducing harmful substance use rely on active measurement and static decision rules to deliver support tailored to micro-scale changes in mood or urges. Studies on JITAI effectiveness are lacking.

Indexed as

Substance-Related DisordersTelemedicineHumansTechnologyalcoholjust-in-time adaptive interventionmHealthsubstance usesystematic reviewtailoring

Identifiers

PMID34514668
PMCPMC8918048

What OpenQuestion holds

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Registered trials

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.