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Behaviour change techniques associated with smoking cessation in intervention and comparator groups of randomized controlled trials: a systematic review and meta‐regression
Author(s) -
Black Nicola,
Johnston Marie,
Michie Susan,
HartmannBoyce Jamie,
West Robert,
Viechtbauer Wolfgang,
Eisma Maarten C.,
Scott Claire,
Bruin Marijn
Publication year - 2020
Publication title -
addiction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.424
H-Index - 193
eISSN - 1360-0443
pISSN - 0965-2140
DOI - 10.1111/add.15056
Subject(s) - smoking cessation , psychological intervention , confounding , randomized controlled trial , moderation , meta analysis , medicine , bivariate analysis , clinical psychology , addiction , psychology , psychiatry , social psychology , statistics , mathematics , pathology
Aims To estimate the strengths of associations between use of behaviour change techniques (BCTs) and clusters of BCTs in behavioural smoking cessation interventions and comparators with smoking cessation rates. Method Systematic review and meta‐regression of biochemically verified smoking cessation rates on BCTs in interventions and comparators in randomized controlled trials, adjusting for a priori‐defined potential confounding variables, together with moderation analyses. Studies were drawn from the Cochrane Tobacco Addiction Group Specialised Register. Data were extracted from published and unpublished (i.e. obtained from study authors) study materials by two independent coders. Adequately described intervention ( k = 143) and comparator ( k = 92) groups were included in the analyses ( n = 43 992 participants). Using bivariate mixed‐effects meta‐regressions, while controlling for key a priori confounders, we regressed smoking cessation on (a) three BCT groupings consistent with dual‐process theory (i.e. associative, reflective motivational and self‐regulatory), (b) 17 expert‐derived BCT groupings (i.e. BCT taxonomy version 1 clusters) and (c) individual BCTs from the BCT taxonomy version 1. Results Among person‐delivered interventions, higher smoking cessation rates were predicted by BCTs targeting associative and self‐regulatory processes ( B = 0.034, 0.041, P < 0.05), and by three individual BCTs (prompting commitment, social reward, identity associated with changed behaviour). Among written interventions, BCTs targeting taxonomy cluster 10a (rewards) predicted higher smoking cessation ( B = 0.394, P < 0.05). Moderation effects were observed for nicotine dependence, mental health status and mode of delivery. Conclusions Among person‐delivered behavioural smoking cessation interventions, specific behaviour change techniques and clusters of techniques are associated with higher success rates.