Print Page   |   Contact Us   |   Your Cart   |   Report Abuse   |   Sign In   |   Apply for NAQC Membership
Site Search
Sign up for NAQC membership today!

Receive a monthly issue of Connections!
NAQC Newsroom: Research

Identifying Effective Components for Mobile Health Behaviour Change Interventions for Smoking Cessat

Wednesday, November 22, 2017  
Posted by: Natalia Gromov
Kingkaew P, Glidewell L, Walwyn R, Fraser H, Wyatt JC.
Identifying Effective Components for Mobile Health Behaviour Change Interventions for Smoking Cessation and Service Uptake: Protocol of a Systematic Review and Planned Meta-Analysis.
Syst Rev. 2017 Oct 6;6(1):193. doi: 10.1186/s13643-017-0591-7.
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. 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. 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.

Sign In

Latest News

Membership 11 years!.

    3219 E. Camelback Road, #416, Phoenix, AZ 85018 | Ph: 800.398.5489 | Fax: 800.398.5489 |