Cited by 1,079Smoking Behavior and CessationMobile Health and mHealth ApplicationsMobile Learning in Education

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Mobile phone-based interventions for smoking cessation

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Whittaker, Robyn, McRobbie, Hayden, Bullen, Chris, Rodgers, Anthony, Gu, Yulong·2016·Cochrane Database of Systematic Reviews

DOI 10.1002/14651858.cd006611.pub4PMC PMC6485940

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Abstract

BACKGROUND: 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. OBJECTIVES: To determine whether mobile phone-based smoking cessation interventions increase smoking cessation in people who smoke and want to quit. SEARCH METHODS: 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. SELECTION CRITERIA: 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. DATA COLLECTION AND ANALYSIS: 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. MAIN RESULTS: 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). AUTHORS' CONCLUSIONS: 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.

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Desenvolvimento do Aplicativo “Cuidados Paliativos” para Auxílio na Avaliação e Assistência de Pacientes
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Smoking patterns and preferences for technology assisted smoking cessation interventions among adults with opioid and alcohol use disorders
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“• Can increases abstinence by up to 5% [49, 50] Internet/Apps • Can reach a large number of smokers, provide information in graphic form, have the option for interactive feedback and can exploit economies of scale.”
Background
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“There are various communication formats for providing information about evidence-based smoking cessation interventions including: (1) digital communication formats such as text message [18, 19], Internet-based [20, 21], and social media platforms [22, 23] and (2) traditional communication formats such as telephone-bas…”
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Health information technology uses for primary prevention in preventive medicine: a scoping review protocol
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eSexual health interventions: promising, but more evidence needed
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Self-citation

Authors: Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y.
Affiliations: University of Auckland (NZ)
Queen Mary University of London (GB)
The George Institute for Global Health (AU)
Stockton University (US)
ORCID: Whittaker, Robyn
McRobbie, Hayden
Bullen, Chris
Rodgers, Anthony
Gu, Yulong
Venue: Cochrane Database of Systematic Reviews
Publisher: Wiley
Published: 2016-04-10
Volume: 4
Pages: CD006611-CD006611
ISSN: 1361-6137 (ISSN-L)
1465-1858
DOI: 10.1002/14651858.cd006611.pub4
PMC: PMC6485940
OpenAlex: W2123622898
Cited by: 1,079
References: 92
Citations by year: 2026: 15 · 2025: 31 · 2024: 43 · 2023: 56 · 2022: 56 · 2021: 71 · 2020: 113 · 2019: 122 · 2018: 121 · 2017: 96 · 2016: 86
FWCI: 16.62
Type: journal article
Language: en
Update notices: new_version (2019-10-22)
Open access: bronze
doi.org
Locations: Cochrane Database of Systematic Reviews (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
ResearchSpace (University of Auckland) (submittedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords: smoking cessation, mobile phone intervention, text messaging, low-income populations, abstinence, point prevalence, video messaging, telephone quitline, risk of bias, loss to follow-up, cost-effectiveness, implementation barriers, implementation facilitators
MeSH terms: Adult, Counseling, Humans, Randomized Controlled Trials as Topic, Smoking Cessation, Cell Phone, Text Messaging

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