Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis

Abstract Background Mobile health (mHealth) interventions for smoking cessation have been shown to be associated with an increase in effectiveness. However, interventions using mobile phones to change people’s behaviour are often perceived as complex interventions, and the interactions between sever...

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Main Authors: Pritaporn Kingkaew, Liz Glidewell, Rebecca Walwyn, Hamish Fraser, Jeremy C. Wyatt
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Systematic Reviews
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13643-017-0591-7
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spelling doaj-722d1e0bf5614145a9a954869dba02af2020-11-25T01:56:13ZengBMCSystematic Reviews2046-40532017-10-01611610.1186/s13643-017-0591-7Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysisPritaporn Kingkaew0Liz Glidewell1Rebecca Walwyn2Hamish Fraser3Jeremy C. Wyatt4Leeds Institute of Health Sciences, University of LeedsLeeds Institute of Health Sciences, University of LeedsLeeds Institute of Clinical Trials Research, University of LeedsLeeds Institute of Health Sciences, University of LeedsWessex Institute of Health and Research, Faculty of Medicine, University of SouthamptonAbstract Background Mobile health (mHealth) interventions for smoking cessation have been shown to be associated with an increase in effectiveness. However, interventions using mobile phones to change people’s behaviour are often perceived as complex interventions, and the interactions between several components within them may affect the outcome. Therefore, it is important to understand how we can improve the design of mHealth interventions using mobile phones as a medium to deliver services. Methods Randomised controlled trials (RCTs) of mHealth interventions to support smoking cessation or uptake of smoking cessation services for smokers will be included in this systematic review. A search will be performed by searching MEDLINE, MEDLINE(R) In-Process & Other Non-Indexed Citations, EMBASE, PsycINFO, Web of Science, and CINAHL. A search for new publications will be conducted 3 months prior to submission for publication as mHealth is an emerging area of research. A random-effects meta-analysis model will be used to summarise the effectiveness of mHealth interventions. The risk ratio will be used for the primary outcome, self-reported or verified smoking abstinence, and any binary outcomes for uptake of smoking cessation services. The standardised mean difference using Hedges’ g will be reported for continuous data. Heterogeneity will be assessed using I 2 statistics. Where feasible, meta-regression analysis using random-effects multilevel modelling will be conducted to examine the association of pre-specified characteristics (covariates) at the study level with the effectiveness of interventions. Publication bias will be explored using Egger’s test for continuous outcomes and Harbord and Peters tests for dichotomous outcomes. The funnel plot will be used to evaluate the presence of publication bias. The Cochrane Risk of Bias Tool will be used to assess differences in risks of bias. Discussion The results of this systematic review will provide future research with a foundation for designing and evaluating complex interventions that use mobile phones as a platform to deliver behaviour change techniques. Systematic review registration PROSPERO CRD42016026918 .http://link.springer.com/article/10.1186/s13643-017-0591-7Complex interventionsTobacco cessationMobile phonesMobile healthBehaviour change techniquesTheory-based interventions
collection DOAJ
language English
format Article
sources DOAJ
author Pritaporn Kingkaew
Liz Glidewell
Rebecca Walwyn
Hamish Fraser
Jeremy C. Wyatt
spellingShingle Pritaporn Kingkaew
Liz Glidewell
Rebecca Walwyn
Hamish Fraser
Jeremy C. Wyatt
Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
Systematic Reviews
Complex interventions
Tobacco cessation
Mobile phones
Mobile health
Behaviour change techniques
Theory-based interventions
author_facet Pritaporn Kingkaew
Liz Glidewell
Rebecca Walwyn
Hamish Fraser
Jeremy C. Wyatt
author_sort Pritaporn Kingkaew
title Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
title_short Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
title_full Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
title_fullStr Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
title_full_unstemmed Identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
title_sort identifying effective components for mobile health behaviour change interventions for smoking cessation and service uptake: protocol of a systematic review and planned meta-analysis
publisher BMC
series Systematic Reviews
issn 2046-4053
publishDate 2017-10-01
description Abstract Background Mobile health (mHealth) interventions for smoking cessation have been shown to be associated with an increase in effectiveness. However, interventions using mobile phones to change people’s behaviour are often perceived as complex interventions, and the interactions between several components within them may affect the outcome. Therefore, it is important to understand how we can improve the design of mHealth interventions using mobile phones as a medium to deliver services. Methods Randomised controlled trials (RCTs) of mHealth interventions to support smoking cessation or uptake of smoking cessation services for smokers will be included in this systematic review. A search will be performed by searching MEDLINE, MEDLINE(R) In-Process & Other Non-Indexed Citations, EMBASE, PsycINFO, Web of Science, and CINAHL. A search for new publications will be conducted 3 months prior to submission for publication as mHealth is an emerging area of research. A random-effects meta-analysis model will be used to summarise the effectiveness of mHealth interventions. The risk ratio will be used for the primary outcome, self-reported or verified smoking abstinence, and any binary outcomes for uptake of smoking cessation services. The standardised mean difference using Hedges’ g will be reported for continuous data. Heterogeneity will be assessed using I 2 statistics. Where feasible, meta-regression analysis using random-effects multilevel modelling will be conducted to examine the association of pre-specified characteristics (covariates) at the study level with the effectiveness of interventions. Publication bias will be explored using Egger’s test for continuous outcomes and Harbord and Peters tests for dichotomous outcomes. The funnel plot will be used to evaluate the presence of publication bias. The Cochrane Risk of Bias Tool will be used to assess differences in risks of bias. Discussion The results of this systematic review will provide future research with a foundation for designing and evaluating complex interventions that use mobile phones as a platform to deliver behaviour change techniques. Systematic review registration PROSPERO CRD42016026918 .
topic Complex interventions
Tobacco cessation
Mobile phones
Mobile health
Behaviour change techniques
Theory-based interventions
url http://link.springer.com/article/10.1186/s13643-017-0591-7
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