Evidence map›Paper›PMID 28239919›Full record

Trial reportAddiction (Abingdon, England)2017

Large multi-centre pilot randomized controlled trial testing a low-cost, tailored, self-help smoking cessation text message intervention for pregnant smokers (MiQuit).

Felix Naughton, Sue Cooper, Katharine Foster, Joanne Emery, Jo Leonardi-Bee, Stephen Sutton, Matthew Jones, Michael Ussher, Rachel Whitemore, Matthew Leighton and 3 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Addiction (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03800719 (Personalized Support Using Instant Messaging Applications to Increase Smoking Cessation in Smokers Proactively Recruited From Smoking Hotspots in Hong Kong), which is not on this map. Cited by 52 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 8 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.

NCT03800719 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Personalized Support Using Instant Messaging Applications to Increase Smoking Cessation in Smokers Proactively Recruited From Smoking Hotspots in Hong Kong: a Pragmatic Randomized Controlled Trial

TypeinterventionalSponsorThe University of Hong KongRan2018 to 2020Enrolled696ConditionsSmoking CessationArmsAWARD advice, Health warning leaflet, Active referral to smoking cessation (SC) services, Regular messages through Instant Messaging (IM), Psychosocial support and referral to SC services through IM
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Digital interventions in mental health: evidence syntheses and economic modelling.Health technology assessment (Winchester, England) · 2022
    Pooled it
  4. eHealth Interventions to Treat Substance Use in Pregnancy: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021
    Pooled it
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  16. Proactively Offered Text Messages and Mailed Nicotine Replacement Therapy for Smokers in Primary Care Practices: A Pilot Randomized Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Trial
  17. Efficacy of a Texting Program to Promote Cessation Among Pregnant Smokers: A Randomized Control Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
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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

13 authors.

Felix NaughtonSchool of Health Sciences, University of East Anglia, Norwich, UK.ORCID http://orcid.org/0000-0001-9790-2796
Sue CooperDivision of Primary Care, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-1994-6395
Katharine FosterDivision of Primary Care, University of Nottingham, Nottingham, UK.
Joanne EmeryBehavioural Science Group, University of Cambridge, Cambridge, UK.
Jo Leonardi-BeeDivision of Epidemiology and Public Health, University of Nottingham, Nottingham, UK.
Stephen SuttonBehavioural Science Group, University of Cambridge, Cambridge, UK.
Matthew JonesDivision of Primary Care, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0002-4824-9724
Michael UssherPopulation Health Research Institute, St George's University of London, London, UK.
Rachel WhitemoreDivision of Primary Care, University of Nottingham, Nottingham, UK.
Matthew LeightonNottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK.
Alan MontgomeryNottingham Clinical Trials Unit, University of Nottingham, Nottingham, UK.
Steve ParrottDepartment of Health Sciences, University of York, York, UK.
Tim ColemanDivision of Primary Care, University of Nottingham, Nottingham, UK.

Funding

Department of Health RP-PG-0109-10020Medical Research Council MR/K023195/1
6 · The paper itself

Abstract

aimsTo estimate the effectiveness of pregnancy smoking cessation support delivered by short message service (SMS) text message and key parameters needed to plan a definitive trial.

designMulti-centre, parallel-group, single-blinded, individual randomized controlled trial.

settingSixteen antenatal clinics in England.

participantsFour hundred and seven participants were randomized to the intervention (n = 203) or usual care (n = 204). Eligible women were < 25 weeks gestation, smoked at least one daily cigarette (> 5 pre-pregnancy), were able to receive and understand English SMS texts and were not already using text-based cessation support.

interventionAll participants received a smoking cessation leaflet; intervention participants also received a 12-week programme of individually tailored, automated, interactive, self-help smoking cessation text messages (MiQuit). OUTCOME MEASUREMENTS: Seven smoking outcomes, including validated continuous abstinence from 4 weeks post-randomization until 36 weeks gestation, design parameters for a future trial and cost-per-quitter.

findingsUsing the validated, continuous abstinence outcome, 5.4% (11 of 203) of MiQuit participants were abstinent versus 2.0% (four of 204) of usual care participants [odds ratio (OR) = 2.7, 95% confidence interval (CI) = 0.93-9.35]. The Bayes factor for this outcome was 2.23. Completeness of follow-up at 36 weeks gestation was similar in both groups; provision of self-report smoking data was 64% (MiQuit) and 65% (usual care) and abstinence validation rates were 56% (MiQuit) and 61% (usual care). The incremental cost-per-quitter was £133.53 (95% CI = -£395.78 to 843.62).

conclusionsThere was some evidence, although not conclusive, that a text-messaging programme may increase cessation rates in pregnant smokers when provided alongside routine NHS cessation care.

Indexed as

Text MessagingAdolescentAdultBayes TheoremEnglandFemaleHealth BehaviorHumansOutcome Assessment, Health CarePilot ProjectsPregnancyProgram EvaluationSelf CareSingle-Blind MethodSmokersSmokingmHealthpregnancyrandomized controlled trialself-helpsmoking cessationSMS text messaging

Identifiers

PMID28239919
PMCPMC5488183

What OpenQuestion holds

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LicenceCC BY
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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.