Evidence map›Paper›PMID 27906071›Full record

ArticleSystematic reviews2016

Are digital interventions for smoking cessation in pregnancy effective? A systematic review protocol.

Sarah Ellen Griffiths, Katherine E Brown, Emily Anne Fulton, Ildiko Tombor, Felix Naughton

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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

5 authors at 3 institutions in 1 country.

Sarah Ellen GriffithsCentre for Technology Enabled Health Research, Faculty of Health and Life Sciences, Coventry University, Richard Crossman Building, Priory Street, Coventry, CV1 5FB, UK. griff109@uni.coventry.ac.uk.
Katherine E BrownCentre for Technology Enabled Health Research, Faculty of Health and Life Sciences, Coventry University, Richard Crossman Building, Priory Street, Coventry, CV1 5FB, UK.
Emily Anne FultonCentre for Technology Enabled Health Research, Faculty of Health and Life Sciences, Coventry University, Richard Crossman Building, Priory Street, Coventry, CV1 5FB, UK.
Ildiko TomborHealth Behaviour Research Centre, Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, UK.
Felix NaughtonSchool of Health Sciences, University of East Anglia, Edith Cavell Building, Norwich, NR4 7UL, UK.
Coventry University · GBUniversity College London · GBUniversity of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBehavioural support for smoking cessation in pregnancy can be effective; however, many pregnant women face barriers to seeking support to stop smoking. Some digital interventions have been found to be effective for smoking cessation in the general population and may be effective for supporting cessation in pregnancy due to their flexibility and the potential for personalisation. To date, there is limited evidence of the effectiveness of digital interventions for smoking cessation in pregnancy. This review aims to assess the following: (1) whether digital interventions are effective at promoting smoking cessation among pregnant women; (2) which behaviour change techniques (BCTs) or combinations of BCTs are associated with the effectiveness of digital interventions for smoking cessation in pregnancy; and (3) whether the number of BCTs used is associated with the effectiveness of digital interventions for smoking cessation in pregnancy.

methodsThis review will include digital interventions delivered largely through computer (PC or laptop), video/DVD, mobile phone (including smartphones) or portable handheld device (e.g. tablet, iPad) and include websites, mobile or tablet applications and SMS text messages. Interventions must be randomised or quasi-randomised controlled trials aimed at women who smoke in pregnancy, with smoking cessation as a measured outcome (preferably the latest available point prevalence smoking status measure taken during pregnancy, biochemically verified if available). Electronic bibliographic databases will be searched to identify suitable studies indexed in the following: Academic Search Complete, ASSIA, CINAHL, The Cochrane Library, EMBASE, Medline, PsycINFO, Scopus, and Web of Science. The search strategy will include key words and database-specific subject headings relating to 'pregnancy' and 'smoking' and synonyms for the terms 'digital' and 'randomised controlled trial'. Where required and where possible, the first and second authors will independently code interventions and control groups for BCTs. If data allows, meta-analyses will be used to assess intervention effectiveness and the effectiveness of BCTs. DISCUSSION: This systematic review will provide a detailed synthesis of the effectiveness of current research using digital interventions for smoking cessation in pregnancy, to build on the evidence base and guide the development of future research in this area. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016036201.

Indexed as

Smoking CessationTelemedicineBehavior TherapyCell PhoneFemaleHumansPregnancySystematic Reviews as TopicText MessagingDigital interventionse-healthM-healthPregnancyProtocolSmokingSystematic review

Identifiers

PMID27906071
PMCPMC5131429
OpenAlexW2557357619

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.