Trial reportTrials2015
Pilot study to evaluate a tailored text message intervention for pregnant smokers (MiQuit): study protocol for a randomised controlled trial.
Trial report in Trials, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02043509 (Evaluation of a Tailored Text Message Intervention for Pregnant Smokers), which is not on this map. Cited by 14 papers, 3 of them syntheses that pooled 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.
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.
Evaluation of a Tailored Text Message Intervention for Pregnant Smokers (MiQuit): a Pilot Trial
Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Targeted client communication via mobile devices for improving maternal, neonatal, and child health.The Cochrane database of systematic reviews · 2020Pooled it
- Psychosocial interventions for supporting women to stop smoking in pregnancy.The Cochrane database of systematic reviews · 2017Pooled it
- Mobile phone-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2016Pooled it
- The Effectiveness of Text Support for Stopping Smoking in Pregnancy (MiQuit): Multi-Trial Pooled Analysis Investigating Effect Moderators and Mechanisms of Action.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024Trial
- A dynamic, modifiable model for estimating cost-effectiveness of smoking cessation interventions in pregnancy: application to an RCT of self-help delivered by text message.Addiction (Abingdon, England) · 2019Trial
- Motivating Smoking Cessation Text Messages: Perspectives from Pregnant Smokers.Maternal and child health journal · 2018Trial
- Accuracy of self-reported smoking abstinence in clinical trials of hospital-initiated smoking interventions.Addiction (Abingdon, England) · 2017Trial
- Large multi-centre pilot randomized controlled trial testing a low-cost, tailored, self-help smoking cessation text message intervention for pregnant smokers (MiQuit).Addiction (Abingdon, England) · 2017Trial
- Mobile phone text messaging and app-based interventions for smoking cessation.The Cochrane database of systematic reviews · 2019Review
- Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2019Review
- Article
- Article
- Smoking cessation support for pregnant women: role of mobile technology.Substance abuse and rehabilitation · 2016Review
- Functional requirements of a mobile-based application for stroke self-management: A Delphi study.Healthcare technology lettersArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundSmoking in pregnancy is a public health problem. Self-help smoking cessation support can help pregnant women to stop smoking, but the effects of delivering this kind of support via SMS text message are not known. A previous randomised controlled trial (RCT) demonstrated the feasibility and acceptability of providing such support to pregnant smokers using an automated, tailored text message intervention called MiQuit. This larger RCT will estimate key parameters for and will test the feasibility of delivering a major trial run within the United Kingdom National Health Service settings aimed at providing definitive evidence on the utility of MiQuit for helping pregnant smokers to stop. METHODS/
designThis will be a multi-centre, parallel group RCT. Participants are being identified in 16 English antenatal care settings and must be >16 years old, pregnant, <25 weeks gestation, smoke >1 daily cigarette, have smoked >5 daily cigarettes before pregnancy, and able to understand texts in English. After consenting and the collection of baseline data, participants are randomised to control or intervention groups in a 1:1 ratio; randomisation is stratified by trial site and gestation and employs computer-generated pseudo-random code using random permuted blocks of randomly varying size, and held on a secure server. All participants receive a National Health Service (NHS) leaflet aimed at helping them to stop smoking. Intervention group women also receive the 12-week MiQuit programme of tailored, supportive, interactive text message, self-help cessation support. Women are followed up by telephone 4 weeks after randomisation and at 36 weeks gestation. The study aims to recruit 400 women, and with this sample we will be able to estimate trial centres' recruitment rates to within +/-1% (margin of error = half width of 95% confidence interval); individual trial groups' ascertainment of rates for smoking outcomes between 4 weeks after randomisation until approximately 36 weeks gestation to within +/-4%, and across both groups, the combined cessation rate at 36 weeks +/-3%. DISCUSSION: Pilot trial completion will provide data to facilitate planning for a definitive trial investigating whether MiQuit works for smoking cessation in pregnancy.
trial registrationClinicalTrials.gov NCT02043509 Registered 14 January 2014.
Indexed as
Identifiers
What OpenQuestion holds
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.