Literature DB >> 14982550

The effectiveness of personally tailored computer-generated advice letters for smoking cessation.

Ron Borland1, James Balmford, Deon Hunt.   

Abstract

AIM: To assess the effectiveness of a new computer-generated tailored advice programme designed to be used by smokers and recent quitters having problems staying stopped.
DESIGN: Randomized trial comparing a series of questionnaire assessments leading to tailored computer-generated advice letters mailed at strategically relevant times, to a no extra treatment control sent standardized printed self-help materials.
SETTING: Victoria, Australia. PARTICIPANTS: A total of 1058 smokers or recent quitters recruited from callers to the Quitline. MEASUREMENTS: Smoking status and sustained abstinence at 12-month follow-up, plus extent of participation in the intervention.
FINDINGS: Using a conservative analysis (missing data coded as a treatment failure), 6-month sustained abstinence was reported by significantly more participants in the computer-generated tailored advice (20%) than the standard printed materials condition (12%) at 12-month follow-up OR 1.82 (1.31-2.55)). Group differences in point prevalence abstinence (28% intervention, 25% control) were not significant. Among participants in the tailored advice condition, 6-month sustained abstinence was associated with the number of advice letters received.
CONCLUSION: The provision of a series of tailored, computer-generated advice letters resulted in greater rates of sustained cessation than for controls. A dose-response relationship was found, with increased compliance with the intervention associated with improved cessation outcomes. The programme appears to have much of its effect by preventing relapse.

Entities:  

Mesh:

Year:  2004        PMID: 14982550     DOI: 10.1111/j.1360-0443.2003.00623.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  39 in total

1.  Randomized trials on consider this, a tailored, internet-delivered smoking prevention program for adolescents.

Authors:  David B Buller; Ron Borland; W Gill Woodall; John R Hall; Joan M Hines; Patricia Burris-Woodall; Gary R Cutter; Caroline Miller; James Balmford; Randall Starling; Bryan Ax; Laura Saba
Journal:  Health Educ Behav       Date:  2006-11-17

2.  Relative precision, efficiency and construct validity of different starting and stopping rules for a computerized adaptive test: the GAIN substance problem scale.

Authors:  Barth B Riley; Kendon J Conrad; Nikolaus Bezruczko; Michael L Dennis
Journal:  J Appl Meas       Date:  2007

3.  Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation.

Authors:  David B Buller; Ron Borland; Erwin P Bettinghaus; James H Shane; Donald E Zimmerman
Journal:  Telemed J E Health       Date:  2013-12-18       Impact factor: 3.536

4.  Do predictors of smoking relapse change as a function of duration of abstinence? Findings from the United States, Canada, United Kingdom and Australia.

Authors:  Hua-Hie Yong; Ron Borland; K Michael Cummings; Timea Partos
Journal:  Addiction       Date:  2018-03-02       Impact factor: 6.526

5.  Effect of nicotine replacement therapy on quitting by young adults in a trial comparing cessation services.

Authors:  David B Buller; Abigail Halperin; Herbert H Severson; Ron Borland; Michael D Slater; Erwin P Bettinghaus; David Tinkelman; Gary R Cutter; William Gill Woodall
Journal:  J Public Health Manag Pract       Date:  2014 Mar-Apr

6.  The Time-Varying Relations Between Risk Factors and Smoking Before and After a Quit Attempt.

Authors:  Matthew D Koslovsky; Emily T Hébert; Michael D Swartz; Wenyaw Chan; Luis Leon-Novelo; Anna V Wilkinson; Darla E Kendzor; Michael S Businelle
Journal:  Nicotine Tob Res       Date:  2018-09-04       Impact factor: 4.244

7.  Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence.

Authors:  David H Gustafson; Bret R Shaw; Andrew Isham; Timothy Baker; Michael G Boyle; Michael Levy
Journal:  Subst Use Misuse       Date:  2011       Impact factor: 2.164

8.  Optimizing diffusion of an online computer tailored lifestyle program: a study protocol.

Authors:  Francine Schneider; Liesbeth A D M van Osch; Stef P J Kremers; Daniela N Schulz; Mathieu J G van Adrichem; Hein de Vries
Journal:  BMC Public Health       Date:  2011-06-20       Impact factor: 3.295

9.  Relapse prevention interventions for smoking cessation.

Authors:  Jonathan Livingstone-Banks; Emma Norris; Jamie Hartmann-Boyce; Robert West; Martin Jarvis; Emma Chubb; Peter Hajek
Journal:  Cochrane Database Syst Rev       Date:  2019-10-28

10.  Quit in general practice: a cluster randomised trial of enhanced in-practice support for smoking cessation.

Authors:  Nicholas Zwar; Robyn Richmond; Elizabeth Halcomb; John Furler; Julie Smith; Oshana Hermiz; Irene Blackberry; Ron Borland
Journal:  BMC Fam Pract       Date:  2010-08-12       Impact factor: 2.497

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