Internet-Based Programs Incorporating Behavior Change Techniques Are Associated With Increased Smoking Cessation in the General Population: A Systematic Review and Meta-analysis.

Behavior Therapy / methods Humans Internet Smoking Cessation / methods Therapy, Computer-Assisted

Journal

Annals of behavioral medicine : a publication of the Society of Behavioral Medicine
ISSN: 1532-4796
Titre abrégé: Ann Behav Med
Pays: England
ID NLM: 8510246

Informations de publication

Date de publication:
01 02 2019
Historique:
pubmed: 12 5 2018
medline: 9 4 2020
entrez: 12 5 2018
Statut: ppublish

Résumé

This study aims to (i) examine the effectiveness of internet-based smoking cessation programs; (ii) describe the number and type of behavior change techniques (BCTs) employed; and (iii) explore whether BCTs included in internet-based smoking cessation programs are related to program effectiveness. MEDLINE, CINAHL, EMBASE, PsycINFO, and CENTRAL databases were searched. Randomized controlled trials were included if they described the study of a smoking cessation program delivered via the internet; included current adult tobacco smokers from the general population; and were written in English. Random effects meta-analyses and meta-regressions were used to examine program effectiveness (pooled odds ratios, by outcome measure, i.e., 7 day point prevalence abstinence [PPA], 30 day PPA, other abstinence measure) in short- and long-term outcomes, and examine the associations between BCT number and type (individual BCTs and BCT domain) and program effectiveness. Results from 45 studies were included (n = 65,736). Intervention effectiveness was found in the short term for all outcome measures (OR = 1.29, 95% CI 1.12, 1.50, p = .001), for "prolonged abstinence" (OR = 1.43, 95% CI 1.09, 1.87, p = .009), and "30 day PPA" (OR = 1.75, 95% CI 1.13, 2.72, p = .013). Internet-based programs were effective in the long term for all outcome measures (OR = 1.19, 95% CI = 1.06, 1.35, p = .004) and for "prolonged abstinence" (OR = 1.40, 95% CI 1.19, 1.63, p < .001). On average, interventions used more BCTs than comparison groups (6.6 vs. 3.1, p = .0002). The impact of specific individual BCTs and BCT domains on effectiveness was examined and is reported. Internet-based smoking cessation interventions increased the odds of cessation by 29 per cent in the short term and by 19 per cent in the long term. Internet-based smoking cessation intervention development should incorporate BCTs to increase effectiveness. CRD42015014676.

Sections du résumé

Background and aims
This study aims to (i) examine the effectiveness of internet-based smoking cessation programs; (ii) describe the number and type of behavior change techniques (BCTs) employed; and (iii) explore whether BCTs included in internet-based smoking cessation programs are related to program effectiveness.
Methods
MEDLINE, CINAHL, EMBASE, PsycINFO, and CENTRAL databases were searched. Randomized controlled trials were included if they described the study of a smoking cessation program delivered via the internet; included current adult tobacco smokers from the general population; and were written in English. Random effects meta-analyses and meta-regressions were used to examine program effectiveness (pooled odds ratios, by outcome measure, i.e., 7 day point prevalence abstinence [PPA], 30 day PPA, other abstinence measure) in short- and long-term outcomes, and examine the associations between BCT number and type (individual BCTs and BCT domain) and program effectiveness.
Results
Results from 45 studies were included (n = 65,736). Intervention effectiveness was found in the short term for all outcome measures (OR = 1.29, 95% CI 1.12, 1.50, p = .001), for "prolonged abstinence" (OR = 1.43, 95% CI 1.09, 1.87, p = .009), and "30 day PPA" (OR = 1.75, 95% CI 1.13, 2.72, p = .013). Internet-based programs were effective in the long term for all outcome measures (OR = 1.19, 95% CI = 1.06, 1.35, p = .004) and for "prolonged abstinence" (OR = 1.40, 95% CI 1.19, 1.63, p < .001). On average, interventions used more BCTs than comparison groups (6.6 vs. 3.1, p = .0002). The impact of specific individual BCTs and BCT domains on effectiveness was examined and is reported.
Conclusions
Internet-based smoking cessation interventions increased the odds of cessation by 29 per cent in the short term and by 19 per cent in the long term. Internet-based smoking cessation intervention development should incorporate BCTs to increase effectiveness.
Registration
CRD42015014676.

Identifiants

DOI: 10.1093/abm/kay026 PMID: 29750240
pubmed: 29750240
pii: 4994720
doi: 10.1093/abm/kay026
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

180-195

Auteurs

Sam McCrabb (S)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

Amanda L Baker (AL)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

John Attia (J)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
Clinical Research Design, IT, and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, University of Newcastle, New Lambton, New South Wales, Australia.
Department of General Medicine, John Hunter Hospital, New Lambton Heights, New South Wales, Australia.

Eliza Skelton (E)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

Laura Twyman (L)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
Tobacco Control Unit, Cancer Council NSW, Sydney, New South Wales, Australia.

Kerrin Palazzi (K)

Clinical Research Design, IT, and Statistical Support (CReDITSS) Unit, Hunter Medical Research Institute, University of Newcastle, New Lambton, New South Wales, Australia.

Kristen McCarter (K)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

Dominic Ku (D)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.
Westmead Hospital, Westmead, Sydney, New South Wales, Australia.

Billie Bonevski (B)

School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

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Classifications MeSH

questionsmedicales.fr › Disciplines et activités comportementales › Psychothérapie › Thérapie comportementale › Internet-Based Programs Incorporating Behavior...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Internet-Based Programs Incorporating Behavior...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Systèmes informatiques › Réseaux de communication entre ordinateurs › Internet › Internet-Based Programs Incorporating Behavior...
questionsmedicales.fr › Comportement et mécanismes comportementaux › Comportement › Comportement en matière de santé › Arrêter de fumer › Internet-Based Programs Incorporating Behavior...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Internet-Based Programs Incorporating Behavior...