Evidence map›Paper›PMID 29137602›Full record

SynthesisBMC pregnancy and childbirth2017

Behaviour change interventions to reduce second-hand smoke exposure at home in pregnant women - a systematic review and intervention appraisal.

Mukesh Dherani, Syeda Nosheen Zehra, Cath Jackson, Veena Satyanaryana, Rumana Huque, Prabha Chandra, Atif Rahman, Kamran Siddiqi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 43 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Mukesh DheraniDepartment of Public Health and Policy, Institute of Psychology, Health and Society, University of Liverpool, Waterhouse Building B, Liverpool, L69 3GL, UK. dheranim@liverpool.ac.uk.ORCID http://orcid.org/0000-0002-3055-9636
Syeda Nosheen ZehraLancashire Care NHS Foundation Trust, Preston, UK.
Cath JacksonDepartment of Health Sciences, University of York, York, UK.
Veena SatyanaryanaDepartment of Clinical Psychology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Rumana HuqueDepartment of Economics, Dhaka University, Dhaka, Bangladesh.
Prabha ChandraDepartment of Clinical Psychology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Atif RahmanDepartment of Psychiatry, Institute of Psychology, Health and Society, University of Liverpool, Liverpool, UK.
Kamran SiddiqiDepartment of Health Sciences, University of York, York, UK.
National Institute of Mental Health and Neurosciences · INUniversity of Liverpool · GBUniversity of York · GBLancashire Care NHS Foundation Trust · GBUniversity of Dhaka · BD

Funding

Cancer Research UK 13007Medical Research Council MR/N006224/1Medical Research Council MR/P008941/1
6 · The paper itself

Abstract

backgroundSecond-hand smoke (SHS) exposure during pregnancy is associated with poor pregnancy and foetal outcomes. Theory-based behaviour change interventions (BCI) have been used successfully to change smoking related behaviours and offer the potential to reduce exposure of SHS in pregnant women. Systematic reviews conducted so far do not evaluate the generalisability and scalability of interventions. The objectives of this review were to (1) report the BCIs for reduction in home exposure to SHS for pregnant women; and (2) critically appraise intervention-reporting, generalisability, feasibility and scalability of the BCIs employed.

methodsStandard methods following PRISMA guidelines were employed. Eight databases were searched from 2000 to 2015 in English. The studies included used BCIs on pregnant women to reduce their home SHS exposure by targeting husbands/partners. The Workgroup for Intervention Development and Evaluation Research (WIDER) guidelines were used to assess intervention reporting. Generalisability, feasibility and scalability were assessed against criteria described by Bonell and Milat.

resultsOf 3479 papers identified, six studies met the inclusion criteria. These studies found that BCIs led to increased knowledge about SHS harms, reduction or husbands quitting smoking, and increased susceptibility and change in level of actions to reduce SHS at home. Two studies reported objective exposure measures, and one reported objective health outcomes. The studies partially followed WIDER guidelines for reporting, and none met all generalisability, feasibility and scalability criteria.

conclusionsThere is a dearth of literature in this area and the quality of studies reviewed was moderate to low. The BCIs appear effective in reducing SHS, however, weak study methodology (self-reported exposure, lack of objective outcome assessment, short follow-up, absence of control group) preclude firm conclusion. Some components of the WIDER checklist were followed for BCI reporting, scalability and feasibility of the studies were not described. More rigorous studies using biochemical and clinical measures for exposures and health outcomes in varied study settings are required. Studies should report interventions in detail using WIDER checklist and assess them for generalisability, feasibility and scalability.

trial registrationCRD40125026666.

Indexed as

Behavior TherapyFemaleHumansMaternal ExposurePregnancyPrenatal CareSmokingSmoking CessationTobacco Smoke PollutionTobacco Smoke PollutionBehaviour changePregnancy healthSecond-hand smoke

Identifiers

PMID29137602
PMCPMC5686952
OpenAlexW2770400600

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.