E-cigarette support for smoking cessation: Identifying the effectiveness of intervention components in an on-line randomized optimization experiment.
Digital interventions
e-cigarettes
multi-phase optimization strategy (MOST)
nicotine
smoking cessation
smoking reduction
tailored advice
tobacco
vaping
Journal
Addiction (Abingdon, England)
ISSN: 1360-0443
Titre abrégé: Addiction
Pays: England
ID NLM: 9304118
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
received:
29
11
2022
accepted:
06
06
2023
medline:
3
10
2023
pubmed:
17
7
2023
entrez:
16
7
2023
Statut:
ppublish
Résumé
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. A total of 1214 eligible participants (61% female; 97% white) were recruited via social media. 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. 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. 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. Text-message support with tailored advice on flavour is a promising intervention combination for smokers using an e-cigarette in a quit attempt.
Banques de données
ISRCTN
['ISRCTN54776958']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2105-2117Subventions
Organisme : Medical Research Council
ID : MR/T002352/1
Pays : United Kingdom
Organisme : Cancer Research UK
ID : PRCRPG-Nov21\100 002
Pays : United Kingdom
Informations de copyright
© 2023 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.
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