Evidence map›Paper›PMID 37055073›Full record

Trial reportNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2023

An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense).

Felix Naughton, Aimie Hope, Chloë Siegele-Brown, Kelly Grant, Garry Barton, Caitlin Notley, Cecilia Mascolo, Tim Coleman, Lee Shepstone, Stephen Sutton and 4 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Guideline
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  5. Effects of an Increased Financial Incentive on Follow-up in an Online, Automated Smoking Cessation Trial: A randomized Controlled Study Within a Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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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

14 authors at 6 institutions in 1 country.

Felix NaughtonBehavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, UK.ORCID 0000-0001-9790-2796
Aimie HopeBehavioural and Implementation Science Group, School of Health Sciences, University of East Anglia, Norwich, UK.
Chloë Siegele-BrownDepartment of Computer Science and Technology, University of Cambridge, Cambridge, UK.
Kelly GrantNorwich Clinical Trials Unit, University of East Anglia, Norwich, UK.
Garry BartonNorwich Clinical Trials Unit, University of East Anglia, Norwich, UK.
Caitlin NotleyAddiction Research Group, Norwich Medical School, University of East Anglia, Norwich, UK.ORCID 0000-0003-0876-3304
Cecilia MascoloDepartment of Computer Science and Technology, University of Cambridge, Cambridge, UK.
Tim ColemanCentre for Academic Primary Care, University of Nottingham, Nottingham, UK.ORCID 0000-0002-7303-4805
Lee ShepstoneNorwich Clinical Trials Unit, University of East Anglia, Norwich, UK.
Stephen SuttonBehavioural Science Group, University of Cambridge, Cambridge, UK.
A Toby PrevostNightingale-Saunders Clinical Trials and Epidemiology Unit, Kings College London, London, UK.
David CraneDepartment of Behavioural Science and Health, University College London, London, UK.
Felix GreavesDepartment of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Juliet HighNorwich Clinical Trials Unit, University of East Anglia, Norwich, UK.
University of East Anglia · GBUniversity of Cambridge · GBImperial College London · GBKing's College London · GBUniversity College London · GBUniversity of Nottingham · GB

Funding

Department of Health and Social CareNIHRPublic Health Research Programme 17/92/31
6 · The paper itself

Abstract

introductionLearned smoking cues from a smoker's environment are a major cause of lapse and relapse. Quit Sense, a theory-guided Just-In-Time Adaptive Intervention smartphone app, aims to help smokers learn about their situational smoking cues and provide in-the-moment support to help manage these when quitting.

methodsA two-arm feasibility randomized controlled trial (N = 209) to estimate parameters to inform a definitive evaluation. Smoker's willing to make a quit attempt were recruited using online paid-for adverts and randomized to "usual care" (text message referral to NHS SmokeFree website) or "usual care" plus a text message invitation to install Quit Sense. Procedures, excluding manual follow-up for nonresponders, were automated. Follow-up at 6 weeks and 6 months included feasibility, intervention engagement, smoking-related, and economic outcomes. Abstinence was verified using cotinine assessment from posted saliva samples.

resultsSelf-reported smoking outcome completion rates at 6 months were 77% (95% CI 71%, 82%), viable saliva sample return rate was 39% (95% CI 24%, 54%), and health economic data 70% (95% CI 64%, 77%). Among Quit Sense participants, 75% (95% CI 67%, 83%) installed the app and set a quit date and, of those, 51% engaged for more than one week. The 6-month biochemically verified sustained abstinence rate (anticipated primary outcome for definitive trial), was 11.5% (12/104) among Quit Sense participants and 2.9% (3/105) for usual care (adjusted odds ratio = 4.57, 95% CIs 1.23, 16.94). No evidence of between-group differences in hypothesized mechanisms of action was found.

conclusionsEvaluation feasibility was demonstrated alongside evidence supporting the effectiveness potential of Quit Sense. IMPLICATIONS: Running a primarily automated trial to initially evaluate Quit Sense was feasible, resulting in modest recruitment costs and researcher time, and high trial engagement. When invited, as part of trial participation, to install a smoking cessation app, most participants are likely to do so, and, for those using Quit Sense, an estimated one-half will engage with it for more than 1 week. Evidence that Quit Sense may increase verified abstinence at 6-month follow-up, relative to usual care, was generated, although low saliva return rates to verify smoking status contributed to considerable imprecision in the effect size estimate.

Indexed as

Mobile ApplicationsSmoking CessationFeasibility StudiesHumansSelf ReportSmoking

Identifiers

PMID37055073
PMCPMC10256891
OpenAlexW4365460062

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.