Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis

Sarah Griffiths, Joanne Parsons, Emmie Fulton, Felix Naughton, Ildiko Tombor, Katherine Brown

Research output: Contribution to journalArticle

3 Citations (Scopus)
5 Downloads (Pure)

Abstract

Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04–2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28–7.33) and text-message interventions (OR = 1.59, 95% CI 1.07–2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

Original languageEnglish
Pages (from-to)333-356
Number of pages24
JournalHealth Psychology Review
Volume12
Issue number4
Early online date18 Jun 2018
DOIs
Publication statusPublished - 2018

Fingerprint

Smoking Cessation
Meta-Analysis
Pregnancy
Odds Ratio
Text Messaging
Social Support
Public Health
Smoking
Mothers
Databases
Health

Bibliographical note

This is an Accepted Manuscript of an article published by Taylor & Francis in Health Psychology Review on 18th June 2018, available online: http://www.tandfonline.com/10.1080/17437199.2018.1488602

Keywords

  • Systematic review
  • behaviour change techniques
  • digital interventions
  • pregnancy
  • smoking

Cite this

Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis. / Griffiths, Sarah; Parsons, Joanne; Fulton, Emmie; Naughton, Felix; Tombor, Ildiko; Brown, Katherine.

In: Health Psychology Review, Vol. 12, No. 4, 2018, p. 333-356.

Research output: Contribution to journalArticle

Griffiths, Sarah ; Parsons, Joanne ; Fulton, Emmie ; Naughton, Felix ; Tombor, Ildiko ; Brown, Katherine. / Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis. In: Health Psychology Review. 2018 ; Vol. 12, No. 4. pp. 333-356.
@article{da5a73f605ec44a595a56feaf6b06543,
title = "Are digital interventions for smoking cessation in pregnancy effective?: A systematic review and meta-analysis",
abstract = "Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95{\%} CI 1.04–2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95{\%} CI 1.28–7.33) and text-message interventions (OR = 1.59, 95{\%} CI 1.07–2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.",
keywords = "Systematic review, behaviour change techniques, digital interventions, pregnancy, smoking",
author = "Sarah Griffiths and Joanne Parsons and Emmie Fulton and Felix Naughton and Ildiko Tombor and Katherine Brown",
note = "This is an Accepted Manuscript of an article published by Taylor & Francis in Health Psychology Review on 18th June 2018, available online: http://www.tandfonline.com/10.1080/17437199.2018.1488602",
year = "2018",
doi = "10.1080/17437199.2018.1488602",
language = "English",
volume = "12",
pages = "333--356",
journal = "Health Psychology Review",
issn = "1743-7199",
publisher = "Routledge",
number = "4",

}

TY - JOUR

T1 - Are digital interventions for smoking cessation in pregnancy effective?

T2 - A systematic review and meta-analysis

AU - Griffiths, Sarah

AU - Parsons, Joanne

AU - Fulton, Emmie

AU - Naughton, Felix

AU - Tombor, Ildiko

AU - Brown, Katherine

N1 - This is an Accepted Manuscript of an article published by Taylor & Francis in Health Psychology Review on 18th June 2018, available online: http://www.tandfonline.com/10.1080/17437199.2018.1488602

PY - 2018

Y1 - 2018

N2 - Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04–2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28–7.33) and text-message interventions (OR = 1.59, 95% CI 1.07–2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

AB - Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04–2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28–7.33) and text-message interventions (OR = 1.59, 95% CI 1.07–2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

KW - Systematic review

KW - behaviour change techniques

KW - digital interventions

KW - pregnancy

KW - smoking

U2 - 10.1080/17437199.2018.1488602

DO - 10.1080/17437199.2018.1488602

M3 - Article

VL - 12

SP - 333

EP - 356

JO - Health Psychology Review

JF - Health Psychology Review

SN - 1743-7199

IS - 4

ER -