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Mobile phone‐based interventions for smoking cessation

Overview of attention for article published in Cochrane database of systematic reviews, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
policy
7 policy sources
twitter
117 X users
facebook
8 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
543 Dimensions

Readers on

mendeley
493 Mendeley
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Title
Mobile phone‐based interventions for smoking cessation
Published in
Cochrane database of systematic reviews, April 2016
DOI 10.1002/14651858.cd006611.pub4
Pubmed ID
Authors

Robyn Whittaker, Hayden McRobbie, Chris Bullen, Anthony Rodgers, Yulong Gu

Abstract

Access to mobile phones continues to increase exponentially globally, outstripping access to fixed telephone lines, fixed computers and the Internet. Mobile phones are an appropriate and effective option for the delivery of smoking cessation support in some contexts. This review updates the evidence on the effectiveness of mobile phone-based smoking cessation interventions. To determine whether mobile phone-based smoking cessation interventions increase smoking cessation in people who smoke and want to quit. For the most recent update, we searched the Cochrane Tobacco Addiction Group Specialised Register in April 2015. We also searched the UK Clinical Research Network Portfolio for current projects in the UK, and the ClinicalTrials.gov register for ongoing or recently completed studies. We searched through the reference lists of identified studies and attempted to contact the authors of ongoing studies. We applied no restrictions on language or publication date. We included randomised or quasi-randomised trials. Participants were smokers of any age who wanted to quit. Studies were those examining any type of mobile phone-based intervention for smoking cessation. This included any intervention aimed at mobile phone users, based around delivery via mobile phone, and using any functions or applications that can be used or sent via a mobile phone. Review authors extracted information on risk of bias and methodological details using a standardised form. We considered participants who dropped out of the trials or were lost to follow-up to be smoking. We calculated risk ratios (RR) and 95% confidence intervals (CI) for each included study. Meta-analysis of the included studies used the Mantel-Haenszel fixed-effect method. Where meta-analysis was not possible, we presented a narrative summary and descriptive statistics. This updated search identified 12 studies with six-month smoking cessation outcomes, including seven studies completed since the previous review. The interventions were predominantly text messaging-based, although several paired text messaging with in-person visits or initial assessments. Two studies gave pre-paid mobile phones to low-income human immunodeficiency virus (HIV)-positive populations - one solely for phone counselling, the other also included text messaging. One study used text messages to link to video messages. Control programmes varied widely. Studies were pooled according to outcomes - some providing measures of continuous abstinence or repeated measures of point prevalence; others only providing 7-day point prevalence abstinence. All 12 studies pooled using their most rigorous 26-week measures of abstinence provided an RR of 1.67 (95% CI 1.46 to 1.90; I(2) = 59%). Six studies verified quitting biochemically at six months (RR 1.83; 95% CI 1.54 to 2.19). The current evidence supports a beneficial impact of mobile phone-based smoking cessation interventions on six-month cessation outcomes. While all studies were good quality, the fact that those studies with biochemical verification of quitting status demonstrated an even higher chance of quitting further supports the positive findings. However, it should be noted that most included studies were of text message interventions in high-income countries with good tobacco control policies. Therefore, caution should be taken in generalising these results outside of this type of intervention and context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 117 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 493 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 <1%
United States 2 <1%
Romania 1 <1%
Unknown 487 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 77 16%
Researcher 65 13%
Student > Ph. D. Student 60 12%
Student > Bachelor 46 9%
Student > Doctoral Student 28 6%
Other 92 19%
Unknown 125 25%
Readers by discipline Count As %
Medicine and Dentistry 124 25%
Nursing and Health Professions 57 12%
Psychology 46 9%
Social Sciences 34 7%
Computer Science 20 4%
Other 59 12%
Unknown 153 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 121. 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 31 July 2023.
All research outputs
#349,487
of 25,656,290 outputs
Outputs from Cochrane database of systematic reviews
#591
of 13,151 outputs
Outputs of similar age
#6,293
of 316,558 outputs
Outputs of similar age from Cochrane database of systematic reviews
#13
of 280 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,151 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.7. This one has done particularly well, scoring higher than 95% 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 316,558 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 98% of its contemporaries.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.