Evidence map›Paper›PMID 39546331›Full record

Trial reportJournal of medical Internet research2024

Effectiveness of the Offer of the Smoke Free Smartphone App Compared With No Intervention for Smoking Cessation: Pragmatic Randomized Controlled Trial.

Sarah Jackson, Dimitra Kale, Emma Beard, Olga Perski, Robert West, Jamie Brown

Abstract readComparative StudyPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Personal pathways to success: an innovative program to overcome cancer patient barriers to tobacco cessation and promote patient participation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  6. Article
  7. Article
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.

Sarah JacksonDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0001-5658-6168
Dimitra KaleDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0002-8845-7114
Emma BeardDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0001-8586-1261
Olga PerskiDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0003-3285-3174
Robert WestDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0001-6398-0921
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0002-2797-5428

Funding

Cancer Research UK
6 · The paper itself

Abstract

backgroundDigital technologies offer the potential for low-cost, scalable delivery of interventions to promote smoking cessation.

objectiveWe aimed to evaluate the effectiveness of the offer of Smoke Free-an evidence-informed, widely used app-for smoking cessation versus no support.

methodsIn this 2-arm randomized controlled trial, 3143 motivated adult smokers were recruited online between August 2020 and April 2021 and randomized to receive an offer of the Smoke Free app plus follow-up (intervention arm) versus follow-up only (comparator arm). Both groups were shown a brief message at the end of the baseline questionnaire encouraging them to make a quit attempt. The primary outcome was self-reported 6-month continuous abstinence assessed 7 months after randomization. Secondary outcomes included quit attempts in the first month post randomization, 3-month continuous abstinence assessed at 4 months, and 6-month continuous abstinence at 7 months among those who made a quit attempt. The primary analysis was performed on an intention-to-treat (ITT) analysis basis. Sensitivity analyses included (1) restricting the intervention group to those who took up the offer of the app, (2) using complete cases, and (3) using multiple imputation.

resultsThe effective follow-up rate for 7 months was 41.9%. The primary analysis showed no evidence of a benefit of the intervention on rates of 6-month continuous abstinence (intervention 6.8% vs comparator 7.0%; relative risk 0.97, 95% CI 0.75-1.26). Analyses of all secondary outcomes also showed no evidence of a benefit. Similar results were observed on complete cases and using multiple imputation. When the intervention group was restricted to those who took up the offer of the app (n=395, 25.3%), participants in the intervention group were 80% more likely to report 6-month continuous abstinence (12.7% vs 7.0%; relative risk 1.80, 95% CI 1.30-2.45). Equivalent subgroup analyses produced similar results on the secondary outcomes. These differences persisted after adjustment for key baseline characteristics.

conclusionsAmong motivated smokers provided with very brief advice to quit, the offer of the Smoke Free app did not have a detectable benefit for cessation compared with follow-up only. However, the app increased quit rates when smokers randomized to receive the app downloaded it.

trial registrationISRCTN ISRCTN85785540; https://www.isrctn.com/ISRCTN85785540. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-https://onlinelibrary.wiley.com/doi/full/10.1111/add.14652.

Indexed as

Mobile ApplicationsSmartphoneSmoking CessationAdultFemaleHumansMaleMiddle Ageddigital interventionmobile phonerandomized controlled trialsmartphone appsmoking cessationtobacco

Identifiers

PMID39546331
PMCPMC11607577

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.