Literature DB >> 28522745

Randomised controlled trial of stand-alone tailored emails for smoking cessation.

J Lee Westmaas1, Jeuneviette Bontemps-Jones1, Peter S Hendricks2, Jihye Kim3, Lorien C Abroms4.   

Abstract

INTRODUCTION: Digital technology has created opportunities for delivering smoking cessation assistance at the population level. However, the efficacy of sending multiple, automated, tailored emails providing motivation, support and information for quitting is unknown.
METHODS: Smokers planning to quit (n=1070) were randomly assigned to (1) 27 tailored cessation emails (deluxe email group (DEG)), (2) 3 to 4 tailored emails with links to downloadable booklets (basic email group (BEG)) or (3) a single non-tailored email (single email group (SEG)). All emails included links to quitting resources. Self-reported 7-day point-prevalence abstinence was assessed at 1 month, 3 months and 6 months postenrolment.
RESULTS: Across follow-ups, abstinence was significantly greater for smokers in the DEG (34%) compared with the SEG (25.8%; OR=1.47, 95% CI 1.07 to 2.02, p=0.02) but there was no difference between the BEG (30.8%) and the SEG (p=0.13). Results were independent of baseline cigarettes per day, interest in quitting, smoker in household, use of nicotine replacement therapy (NRT) or varenicline and gender, themselves associated with abstinence (ps<0.05). Missing=smoking and multiple imputation analyses based on 25 data sets corroborated results. Participants in the DEG were also more likely to use non-medication aids (eg, quit smoking website, cessation class/clinic) compared with the SEG (OR=1.34, p=0.02, CI 1.06 to 1.71), but use of these or NRT by the 4-week follow-up (vs no use) increased abstinence across follow-ups primarily for those in the SEG.
CONCLUSIONS: Stand-alone tailored, multiple emails providing support, motivation and information during a quit attempt are an easily deployable, inexpensive mode of providing effective cessation assistance to large numbers of smokers planning to quit. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  CESSATION AIDS; EMAILS; SMOKING CESSATION; TAILORING

Mesh:

Year:  2017        PMID: 28522745     DOI: 10.1136/tobaccocontrol-2016-053056

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  10 in total

1.  Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement.

Authors:  Jinying Chen; Thomas K Houston; Jamie M Faro; Catherine S Nagawa; Elizabeth A Orvek; Amanda C Blok; Jeroan J Allison; Sharina D Person; Bridget M Smith; Rajani S Sadasivam
Journal:  BMC Public Health       Date:  2021-09-26       Impact factor: 4.135

2.  To Text or Not to Text? Technology-based Cessation Communication Preferences among Urban, Socioeconomically Disadvantaged Smokers.

Authors:  Kassandra I Alcaraz; Kara Riehman; Rhyan Vereen; Jeuneviette Bontemps-Jones; J Lee Westmaas
Journal:  Ethn Dis       Date:  2018-07-12       Impact factor: 1.847

3.  Relative effectiveness of a full versus reduced version of the 'Smoke Free' mobile application for smoking cessation: an exploratory randomised controlled trial.

Authors:  David Crane; Harveen Kaur Ubhi; Jamie Brown; Robert West
Journal:  F1000Res       Date:  2018-09-21

4.  Comparing the Efficacy of an Identical, Tailored Smoking Cessation Intervention Delivered by Mobile Text Messaging Versus Email: Randomized Controlled Trial.

Authors:  Inger Torhild Gram; Dillys Larbi; Silje Camilla Wangberg
Journal:  JMIR Mhealth Uhealth       Date:  2019-09-27       Impact factor: 4.773

5.  Smoking Patterns and Willingness to Quit: A Cross-sectional Study in Al Ain City, UAE.

Authors:  Moawia M Al-Tabakha; Muaed J Alomar; Mariam N G Awad; Khairi M S Fahelelbom
Journal:  J Pharm Bioallied Sci       Date:  2019 Jul-Sep

Review 6.  Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease.

Authors:  Martin Steinmetz; Christos Rammos; Tienush Rassaf; Julia Lortz
Journal:  Int J Cardiol Heart Vasc       Date:  2020-01-24

7.  Tailored Web-Based Smoking Interventions and Reduced Attrition: Systematic Review and Meta-Analysis.

Authors:  Amika Shah; Michael Chaiton; Dolly Baliunas; Robert Schwartz
Journal:  J Med Internet Res       Date:  2020-10-19       Impact factor: 5.428

8.  A Smartphone-Based Information Communication Technology Solution for Primary Modifiable Risk Factors for Noncommunicable Diseases: Pilot and Feasibility Study in Norway.

Authors:  Inger Torhild Gram; Guri Skeie; Sunday Oluwafemi Oyeyemi; Kristin Benjaminsen Borch; Laila Arnesdatter Hopstock; Maja-Lisa Løchen
Journal:  JMIR Form Res       Date:  2022-02-25

9.  Psychographic Profiling of Adult Tobacco Users and Implications for Mediated Message Tailoring.

Authors:  Danielle A Duarte; Kelvin Choi
Journal:  Am J Health Promot       Date:  2020-10-21

10.  Replicating state Quitline innovations to increase reach: findings from three states.

Authors:  Paula A Keller; Rebecca K Lien; Laura A Beebe; Jane Parker; Paola Klein; Randi B Lachter; Stephen Gillaspy
Journal:  BMC Public Health       Date:  2020-01-06       Impact factor: 3.295

  10 in total

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