ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2025
Digitalizing Specialist Smoking Cessation Support in Pregnancy: Views of Pregnant Smokers.
Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
introductionUnsupported attempts to quit smoking during pregnancy have a low success rate. Chances of quitting successfully are higher with an interpersonal treatment program but there is low uptake of this in the United Kingdom. Delivering a pregnancy-specific treatment program digitally may provide an alternative treatment route. This study explored pregnant smokers' perceptions of barriers and facilitators to using digital cessation support, along with identifying modes of delivery and engagement enhancers. AIMS AND
methodsSemi-structured interviews were carried out with an ethnically and socioeconomically diverse sample of 25 participants with recent experience of attempting to quit smoking in pregnancy, aged 20-40, from the United Kingdom. An inductive thematic analysis approach was used.
resultsDigital smoking cessation support, particularly a smartphone app, for pregnancy was felt to overcome many barriers to engaging with interpersonal support, being viewed as more convenient, and nonjudgmental, providing better consistency of advice, and enhancing privacy and autonomy. However, some participants felt that removing access to a human could undermine a digital support package and reduce engagement. Popular engagement enhancers included self-monitoring (eg, digital recording of smoking; smartphone-linked carbon monoxide monitoring), online communities, and remote access to nicotine substitution options. Digital support was viewed as having potential as a stand-alone intervention or working in conjunction with standard interpersonal treatment.
conclusionsThe findings support the investigation of a digital support package as both a stand-alone and adjunct to standard interpersonal cessation support in pregnancy to increase the proportion of pregnant smokers who make a supported quit attempt. IMPLICATIONS: In many countries like the United Kingdom, there are few smoking cessation options routinely available that provide effective support for smoking cessation in pregnancy. To maximize impact, health services need an effective range of strategies to engage with and support quit attempts made by all pregnant smokers, particularly as interpersonal support options are not often well used. Development of a pregnancy-specific digital support package for smoking cessation in pregnancy may represent a means to help address this gap.
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.