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

Overview of attention for article published in Health Psychology Review, June 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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3 policy sources
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48 X users
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185 Mendeley
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1 CiteULike
Title
Are digital interventions for smoking cessation in pregnancy effective? A systematic review and meta-analysis
Published in
Health Psychology Review, June 2018
DOI 10.1080/17437199.2018.1488602
Pubmed ID
Authors

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

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 nine 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=0.03) 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 17%
Researcher 27 15%
Student > Ph. D. Student 23 12%
Student > Bachelor 23 12%
Student > Doctoral Student 9 5%
Other 23 12%
Unknown 49 26%
Readers by discipline Count As %
Nursing and Health Professions 35 19%
Medicine and Dentistry 30 16%
Psychology 29 16%
Social Sciences 8 4%
Computer Science 7 4%
Other 24 13%
Unknown 52 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 November 2023.
All research outputs
#1,038,612
of 26,017,215 outputs
Outputs from Health Psychology Review
#65
of 349 outputs
Outputs of similar age
#22,029
of 346,694 outputs
Outputs of similar age from Health Psychology Review
#2
of 6 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 349 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.2. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 346,694 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.