Evidence map›Paper›PMID 33747711›Full record

ArticleCurrent addiction reports2020

Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science.

Stephanie M Carpenter, Marianne Menictas, Inbal Nahum-Shani, David W Wetter, Susan A Murphy

Abstract read
In one paragraph

Article in Current addiction reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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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  14. Diffusion Policies with Offline and Inverse Reinforcement Learning for Promoting Physical Activity in Older Adults Using Wearable Sensors.Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications · 2025
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4 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

5 authors.

Stephanie M CarpenterInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Marianne MenictasHarvard University, Cambridge, MA.
Inbal Nahum-ShaniInstitute for Social Research, University of Michigan, Ann Arbor, MI.
David W WetterHuntsman Cancer Institute and the University of Utah, Salt Lake City, UT.
Susan A MurphyHarvard University, Cambridge, MA.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI COLLINS, LINDA M · 2015 to 2019
$13.9M
TR&D3 - Rapid Translation of AI-powered Temporally Precise mHealth Interventions via Efficient and Embeddable Trustworthy Biomarker ImplementationsP41EB028242 · NIBIB · UNIVERSITY OF MEMPHIS · PI Santosh Kumar · 2020 to 2026
$9.5M
Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIVR01DA039901 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALMIRALL, DANIEL, NAHUM-SHANI, INBAL BILLIE · 2015 to 2024
$5.4M
Novel use of mHealth data to identify states of vulnerability and receptivity to JITAIs SupplementU01CA229437 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAHUM-SHANI, INBAL BILLIE, WETTER, DAVID W · 2018 to 2022
$2.8M
Data-Based Methods for Just-In-Time Adaptive Interventions in Alcohol UseR01AA023187 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURPHY, SUSAN A · 2015 to 2019
$2.6M
NCATS NIH HHS UL1 TR002538NCI NIH HHS P30 CA042014NCI NIH HHS U01 CA229437NIAAA NIH HHS R01 AA023187NIBIB NIH HHS P41 EB028242NIDA NIH HHS P50 DA039838NIDA NIH HHS R01 DA039901
6 · The paper itself

Abstract

purpose of reviewAddiction is a serious and prevalent problem across the globe. An important challenge facing intervention science is how to support addiction treatment and recovery while mitigating the associated cost and stigma. A promising solution is the use of mobile health (mHealth) just-in-time adaptive interventions (JITAIs), in which intervention options are delivered in situ via a mobile device when individuals are most in need. RECENT

findingsThe present review describes the use of mHealth JITAIs to support addiction treatment and recovery, and provides guidance on when and how the micro-randomized trial (MRT) can be used to optimize a JITAI. We describe the design of five mHealth JITAIs in addiction and three MRT studies, and discuss challenges and future directions. SUMMARY: This review aims to provide guidance for constructing effective JITAIs to support addiction treatment and recovery.

Indexed as

AddictionJust-In-Time Adaptive InterventionMicro-Randomized TrialMobile Health

Identifiers

PMID33747711
PMCPMC7968352

What OpenQuestion holds

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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.