Evidence map›Paper›PMID 31118090›Full record

ArticleTrials2019

Effectiveness and cost-effectiveness of a tailored text-message programme (MiQuit) for smoking cessation in pregnancy: study protocol for a randomised controlled trial (RCT) and meta-analysis.

Rachel Whitemore, Jo Leonardi-Bee, Felix Naughton, Stephen Sutton, Sue Cooper, Steve Parrott, Catherine Hewitt, Miranda Clark, Michael Ussher, Matthew Jones and 2 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03231553 (RCT and Meta-analysis Testing Effectiveness and Cost-effectiveness of a Tailored Text Message Programme), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT03231553 nacompletednot on this map

RCT and Meta-analysis Testing Effectiveness and Cost-effectiveness of a Tailored Text Message Programme (MiQuit) for Smoking Cessation in Pregnancy

TypeinterventionalSponsorUniversity of NottinghamRan2017 to 2020Enrolled1,000ConditionsSmoking Cessation, Pregnancy RelatedArmsMiQuit text message support programme
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

12 authors.

Rachel WhitemoreDivision of Primary Care, University of Nottingham, Nottingham, NG7 2RD, UK. Rachel.whitemore@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-7599-8640
Jo Leonardi-BeeDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham, NG5 1PB, UK.
Felix NaughtonSchool of Health Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Stephen SuttonInstitute of Public Health, University of Cambridge, Cambridge, CB2 0SR, UK.
Sue CooperDivision of Primary Care, University of Nottingham, Nottingham, NG7 2RD, UK.
Steve ParrottDepartment of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, YO10 5DD, UK.
Catherine HewittDepartment of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, YO10 5DD, UK.
Miranda ClarkDivision of Primary Care, University of Nottingham, Nottingham, NG7 2RD, UK.
Michael UssherPopulation Health Research Institute, St. George's, University of London, London, SW17 0RE, UK.
Matthew JonesDivision of Primary Care, University of Nottingham, Nottingham, NG7 2RD, UK.
David TorgersonPopulation Health Research Institute, St. George's, University of London, London, SW17 0RE, UK.
Tim ColemanDivision of Primary Care, University of Nottingham, Nottingham, NG7 2RD, UK.

Funding

Cancer Research UK C11232/A23434Department of Health RP-PG-0109-10020Medical Research Council MR/K023195/1Programme Grants for Applied Research RP-PG-0109-10020
6 · The paper itself

Abstract

backgroundSmoking in pregnancy is a major international public health problem. Self-help support (SHS) increases the likelihood of women stopping smoking in pregnancy and delivering this kind of support by text message could be a cost-effective way to deliver SHS to pregnant women who smoke. SHS delivered by text message helps non-pregnant smokers to stop but the currently available message programmes are not appropriate for use in pregnancy. A randomised controlled trial (RCT) has demonstrated the feasibility and acceptability of using a programme called 'MiQuit' to text SHS support to pregnant women who smoke. Another pilot RCT has shown that it would be feasible to run a larger, multi-centre trial within the UK National Health Service (NHS). The aim of this third RCT is to complete MiQuit's evaluation, demonstrating whether or not this is efficacious for smoking cessation in pregnancy. METHODS/

designThis is a multi-centre, parallel-group RCT. Pregnant women aged over 16 years, of less than 25 weeks' gestation who smoke one or more daily cigarettes but smoked at least five daily cigarettes before pregnancy and who understand written English and are being identified in 24 English antenatal care hospitals. Participants are randomised to control or intervention groups in a 1:1 ratio stratified by gestation (< 16 weeks versus ≥ 16 weeks). All participants receive a leaflet on stopping smoking during pregnancy; they are also able to access standard NHS smoking cessation support. Intervention group women also receive the 12-week MiQuit programme of tailored, interactive text message, and self-help cessation support. Women are followed up by telephone at 4 weeks after randomisation and 36 weeks' gestation. The RCT will recruit 692 women (346 per group), enabling a 95% confidence interval for the difference in quit rates to be estimated within ± 3%. To determine whether or not MiQuit helps pregnant smokers to stop, intervention group quit rates from this trial will be combined with those from the two earlier trials in a Trial Sequential Analysis (TSA) meta-analysis to derive a pooled efficacy estimate. DISCUSSION: If effective, MiQuit will be a cheap, cost-effective method to help pregnant women to stop smoking.

trial registrationClinicalTrials.gov, ID: NCT03231553 . Registered on 20 July 2017.

Indexed as

Randomized Controlled Trials as TopicSmoking CessationText MessagingCost-Benefit AnalysisData ManagementFemaleFollow-Up StudiesHumansMeta-Analysis as TopicMulticenter Studies as TopicOutcome Assessment, Health CarePregnancySample SizeSelf-Help GroupsSingle-Blind MethodPregnancyProtocolRandomised controlled trialSelf-helpSmoking cessation

Identifiers

PMID31118090
PMCPMC6530023

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.