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E-cigarette support for smoking cessation: Identifying the effectiveness of intervention components in an on-line randomized optimization experiment

Kimber, Catherine; Sideropoulos, Vassilis; Cox, Sharon; Frings, Daniel; Naughton, Felix; Brown, Jamie; McRobbie, Hayden; (2023) E-cigarette support for smoking cessation: Identifying the effectiveness of intervention components in an on-line randomized optimization experiment. Addiction , 118 (11) pp. 2105-2117. 10.1111/add.16294. Green open access

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Abstract

Aims, Design and Setting: The aim of this study was to determine which combination(s) of five e-cigarette-orientated intervention components, delivered on-line, affect smoking cessation. An on-line (UK) balanced five-factor (2 × 2 × 2 × 2 × 2 = 32 intervention combinations) randomized factorial design guided by the multi-phase optimization strategy (MOST) was used. // Participants: A total of 1214 eligible participants (61% female; 97% white) were recruited via social media. // Interventions: The five on-line intervention components designed to help smokers switch to exclusive e-cigarette use were: (1) tailored device selection advice; (2) tailored e-liquid nicotine strength advice; (3): tailored e-liquid flavour advice; (4) brief information on relative harms; and (5) text message (SMS) support. // Measurements: The primary outcome was 4-week self-reported complete abstinence at 12 weeks post-randomization. Primary analyses were intention-to-treat (loss to follow-up recorded as smoking). Logistic regressions modelled the three- and two-way interactions and main effects, explored in that order. // Findings: In the adjusted model the only significant interaction was a two-way interaction, advice on flavour combined with text message support, which increased the odds of abstinence (odds ratio = 1.55, 95% confidence interval = 1.13–2.14, P = 0.007, Bayes factor = 7.25). There were no main effects of the intervention components. // Conclusions: Text-message support with tailored advice on flavour is a promising intervention combination for smokers using an e-cigarette in a quit attempt.

Type: Article
Title: E-cigarette support for smoking cessation: Identifying the effectiveness of intervention components in an on-line randomized optimization experiment
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/add.16294
Publisher version: https://doi.org/10.1111/add.16294
Language: English
Additional information: Copyright © 2023 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction. This is an open access article under the terms of the Creative Commons Attribution License, https://creativecommons.org/licenses/by/4.0/, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Digital interventions, e-cigarettes, multi-phase optimization strategy (MOST), nicotine, smoking cessation, smoking reduction, tailored advice, tobacco, vaping
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health
URI: https://discovery.ucl.ac.uk/id/eprint/10172396
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