Evidence map›Paper›PMID 27454354›Full record

ArticleAddictive behaviors2016

Get with the program: Adherence to a smartphone app for smoking cessation.

Emily Y Zeng, Jaimee L Heffner, Wade K Copeland, Kristin E Mull, Jonathan B Bricker

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addictive behaviors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Mindfulness for smoking cessation.The Cochrane database of systematic reviews · 2022
    Pooled it
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  10. Mobile Chat Messaging for Preventing Smoking Relapse Amid the COVID-19 Pandemic: A Pilot Randomized Controlled Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
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  12. Efficacy and Utilization of Smartphone Applications for Smoking Cessation Among American Indians and Alaska Natives: Results From the iCanQuit Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
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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.

Emily Y ZengPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Psychology, University of Washington, Seattle, WA, USA.
Jaimee L HeffnerPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Wade K CopelandPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kristin E MullPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Jonathan B BrickerPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Psychology, University of Washington, Seattle, WA, USA. Electronic address: jbricker@fredhutch.org.

Funding

Randomized Trial of Web-Delivered Acceptance Therapy for Smoking CessationR01CA166646 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2013 to 2017
$3.4M
Randomized Trial of an Innovative Smartphone Intervention for Smoking CessationR01CA192849 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRICKER, JONATHAN B · 2015 to 2019
$3.1M
NCI NIH HHS R01 CA166646NCI NIH HHS R01 CA192849
6 · The paper itself

Abstract

introductionAlthough engagement is generally predictive of positive outcomes in technology-based behavioral change interventions, engagement measures remain largely atheoretical and lack treatment-specificity. This study examines the extent to which adherence measures based on the underlying behavioral change theory of an Acceptance and Commitment Therapy (ACT) app for smoking cessation predict smoking outcomes, and user characteristics associated with adherence.

methodsStudy sample was adult daily smokers in a single arm pilot study (n=84). Using the app's log file data, we examined measures of adherence to four key components of the ACT behavior change model as predictors of smoking cessation and reduction. We also examined baseline user characteristics associated with adherence measures that predict smoking cessation.

resultsFully adherent users (24%) were over four times more likely to quit smoking (OR=4.45; 95% CI=1.13, 17.45; p=0.032). Both an increase in tracking the number of urges passed (OR=1.02; 95% CI=1.00, 1.03; p=0.043) and ACT modules completed (OR=1.27; 95% CI=1.01, 1.60; p=0.042) predicted cessation. Lower baseline acceptance of cravings was associated with over four times higher odds of full adherence (OR=4.59; 95% CI=1.35, 15.54; p=0.014).

conclusionsFull adherence and use of specific ACT theory-based components of the app predicted quitting. Consistent with ACT theory, users with low acceptance were most likely to adhere to the app. Further research is needed on ways to promote app engagement.

Indexed as

Mobile ApplicationsSmartphoneAcceptance and Commitment TherapyAdultFemaleHumansMalePatient CompliancePilot ProjectsSmoking CessationTobacco Use DisorderTreatment OutcomeAdherenceAppsmHealthNicotineSmartphoneSmoking cessationTobacco

Identifiers

PMID27454354
PMCPMC5501958

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Registered trials

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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.