Evidence map›Paper›PMID 27956375›Full record

ArticleJournal of medical Internet research2016

An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness.

Michael S Businelle, Ping Ma, Darla E Kendzor, Summer G Frank, Damon J Vidrine, David W Wetter

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07067151 (Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages), which is not on this map. Cited by 93 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 5 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT07067151 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages: An Observational Laboratory Study

TypeobservationalSponsorNational Institute on Minority Health and Health Disparities (NIMHD)Ran2026 to 2028Enrolled30ConditionsSmoking
3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 5 syntheses or guidelines pooled it, 150 citations in OpenAlex.

  1. 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
    Pooled it
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  4. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features.International journal of environmental research and public health · 2021
    Pooled it
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  11. Associations between morning affect and later-day smoking urges and behavior.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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  18. Identifying mechanisms that link pain to smoking relapse during a quit attempt.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021
    Trial
  19. Pilot Randomized Controlled Trial of a Novel Smoking Cessation App Designed for Individuals With Co-Occurring Tobacco Use Disorder and Serious Mental Illness.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  20. Trial

33 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 at 3 institutions in 1 country.

Michael S BusinelleDepartment of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-9038-2238
Ping MaDivision of Population Health, Children's Medical Center, Dallas, TX, United States.ORCID 0000-0002-0585-7885
Darla E KendzorDepartment of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-7273-1916
Summer G FrankOklahoma Tobacco Research Center, Stephenson Cancer Center, Okahoma City, OK, United States.ORCID 0000-0003-0779-4926
Damon J VidrineDepartment of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.ORCID 0000-0002-8711-796X
David W WetterDepartment of Population Health Sciences and the Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, United States.ORCID 0000-0002-4013-1932
Oklahoma State University Oklahoma City · USChildren's Medical Center · USUniversity of Utah · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundDespite substantial public health progress in reducing the prevalence of smoking in the United States overall, smoking among socioeconomically disadvantaged adults remains high.

objectiveTo determine the feasibility and preliminary effectiveness of a novel smartphone-based smoking cessation app designed for socioeconomically disadvantaged smokers.

methodsParticipants were recruited from a safety-net hospital smoking cessation clinic in Dallas, Texas, and were followed for 13 weeks. All participants received standard smoking cessation clinic care (ie, group counseling and cessation pharmacotherapy) and a smartphone with a novel smoking cessation app (ie, Smart-T). The Smart-T app prompted 5 daily ecological momentary assessments (EMAs) for 3 weeks (ie, 1 week before cessation and 2 weeks after cessation). During the precessation period, EMAs were followed by messages that focused on planning and preparing for the quit attempt. During the postcessation period, participant responses to EMAs drove an algorithm that tailored messages to the current level of smoking lapse risk and currently present lapse triggers (eg, urge to smoke, stress). Smart-T offered additional intervention features on demand (eg, one-click access to the tobacco cessation quitline; "Quit Tips" on coping with urges to smoke, mood, and stress).

resultsParticipants (N=59) were 52.0 (SD 7.0) years old, 54% (32/59) female, and 53% (31/59) African American, and 70% (40/57) had annual household income less than US $16,000. Participants smoked 20.3 (SD 11.6) cigarettes per day and had been smoking for 31.6 (SD 10.9) years. Twelve weeks after the scheduled quit date, 20% (12/59) of all participants were biochemically confirmed abstinent. Participants responded to 87% of all prompted EMAs and received approximately 102 treatment messages over the 3-week EMA period. Most participants (83%, 49/59) used the on-demand app features. Individuals with greater nicotine dependence and minority race used the Quit Tips feature more than their counterparts. Greater use of the Quit Tips feature was linked to nonabstinence at the 2 (P=.02), 4 (P<.01), and 12 (P=.03) week follow-up visits. Most participants reported that they actually used or implemented the tailored app-generated messages and suggestions (83%, 49/59); the app-generated messages were helpful (97%, 57/59); they would like to use the app in the future if they were to lapse (97%, 57/59); and they would like to refer friends who smoke to use the Smart-T app (85%, 50/59). A minority of participants (15%, 9/59) reported that the number of daily assessments (ie, 5) was "too high."

conclusionsThis novel just-in-time adaptive intervention delivered an intensive intervention (ie, 102 messages over a 3-week period), was well-liked, and was perceived as helpful and useful by socioeconomically disadvantaged adults who were seeking smoking cessation treatment. Smartphone apps may be used to increase treatment exposure and may ultimately reduce tobacco-related health disparities among socioeconomically disadvantaged adults.

Indexed as

Feasibility StudiesFemaleHumansMaleMiddle AgedSmoking CessationTreatment Outcomelow income populationmobile applicationssmartphonesmoking cessation

Identifiers

PMID27956375
PMCPMC5187451
OpenAlexW2563403825

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.