Literature DB >> 30623970

Print-based self-help interventions for smoking cessation.

Jonathan Livingstone-Banks1, José M Ordóñez-Mena, Jamie Hartmann-Boyce.   

Abstract

BACKGROUND: Many smokers give up smoking on their own, but materials that provide a structured programme for smokers to follow may increase the number who quit successfully.
OBJECTIVES: The aims of this review were to determine the effectiveness of different forms of print-based self-help materials that provide a structured programme for smokers to follow, compared with no treatment and with other minimal contact strategies, and to determine the comparative effectiveness of different components and characteristics of print-based self-help, such as computer-generated feedback, additional materials, tailoring of materials to individuals, and targeting of materials at specific groups. SEARCH
METHODS: We searched the Cochrane Tobacco Addiction Group Trials Register, ClinicalTrials.gov, and the International Clinical Trials Registry Platform (ICTRP). The date of the most recent search was March 2018. SELECTION CRITERIA: We included randomised trials of smoking cessation with follow-up of at least six months, where at least one arm tested print-based materials providing self-help compared with minimal print-based self-help (such as a short leaflet) or a lower-intensity control. We defined 'self-help' as structured programming for smokers trying to quit without intensive contact with a therapist. DATA COLLECTION AND ANALYSIS: We extracted data in accordance with standard methodological procedures set out by Cochrane. The main outcome measure was abstinence from smoking after at least six months' follow-up in people smoking at baseline. We used the most rigorous definition of abstinence in each study and biochemically validated rates when available. Where appropriate, we performed meta-analysis using a random-effects model. MAIN
RESULTS: We identified 75 studies that met our inclusion criteria. Many study reports did not include sufficient detail to allow judgement of risk of bias for some domains. We judged 30 studies (40%) to be at high risk of bias for one or more domains.Thirty-five studies evaluated the effects of standard, non-tailored self-help materials. Eleven studies compared self-help materials alone with no intervention and found a small effect in favour of the intervention (n = 13,241; risk ratio (RR) 1.19, 95% confidence interval (CI) 1.03 to 1.37; I² = 0%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for indirect relevance to populations in low- and middle-income countries because evidence for this comparison came from studies conducted solely in high-income countries and there is reason to believe the intervention might work differently in low- and middle-income countries. This analysis excluded two studies by the same author team with strongly positive outcomes that were clear outliers and introduced significant heterogeneity. Six further studies of structured self-help compared with brief leaflets did not show evidence of an effect of self-help materials on smoking cessation (n = 7023; RR 0.87, 95% CI 0.71 to 1.07; I² = 21%). We found evidence of benefit from standard self-help materials when there was brief contact that did not include smoking cessation advice (4 studies; n = 2822; RR 1.39, 95% CI 1.03 to 1.88; I² = 0%), but not when self-help was provided as an adjunct to face-to-face smoking cessation advice for all participants (11 studies; n = 5365; RR 0.99, 95% CI 0.76 to 1.28; I² = 32%).Thirty-two studies tested materials tailored for the characteristics of individual smokers, with controls receiving no materials, or stage-matched or non-tailored materials. Most of these studies used more than one mailing. Pooling studies that compared tailored self-help with no self-help, either on its own or compared with advice, or as an adjunct to advice, showed a benefit of providing tailored self-help interventions (12 studies; n = 19,190; RR 1.34, 95% CI 1.20 to 1.49; I² = 0%) with little evidence of difference between subgroups (10 studies compared tailored with no materials, n = 14,359; RR 1.34, 95% CI 1.19 to 1.51; I² = 0%; two studies compared tailored materials with brief advice, n = 2992; RR 1.13, 95% CI 0.86 to 1.49; I² = 0%; and two studies evaluated tailored materials as an adjunct to brief advice, n = 1839; RR 1.72, 95% CI 1.17 to 2.53; I² = 10%). When studies compared tailored self-help with non-tailored self-help, results favoured tailored interventions when the tailored interventions involved more mailings than the non-tailored interventions (9 studies; n = 14,166; RR 1.42, 95% CI 1.20 to 1.68; I² = 0%), but not when the two conditions were contact-matched (10 studies; n = 11,024; RR 1.07, 95% CI 0.89 to 1.30; I² = 50%). We judged the evidence to be of moderate certainty in accordance with GRADE, downgraded for risk of bias.Five studies evaluated self-help materials as an adjunct to nicotine replacement therapy; pooling three of these provided no evidence of additional benefit (n = 1769; RR 1.05, 95% CI 0.86 to 1.30; I² = 0%). Four studies evaluating additional written materials favoured the intervention, but the lower confidence interval crossed the line of no effect (RR 1.20, 95% CI 0.91 to 1.58; I² = 73%). A small number of other studies did not detect benefit from using targeted materials, or find differences between different self-help programmes. AUTHORS'
CONCLUSIONS: Moderate-certainty evidence shows that when no other support is available, written self-help materials help more people to stop smoking than no intervention. When people receive advice from a health professional or are using nicotine replacement therapy, there is no evidence that self-help materials add to their effect. However, small benefits cannot be excluded. Moderate-certainty evidence shows that self-help materials that use data from participants to tailor the nature of the advice or support given are more effective than no intervention. However, when tailored self-help materials, which typically involve repeated assessment and mailing, were compared with untailored materials delivered similarly, there was no evidence of benefit.Available evidence tested self-help interventions in high-income countries, where more intensive support is often available. Further research is needed to investigate effects of these interventions in low- and middle-income countries, where more intensive support may not be available.

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Year:  2019        PMID: 30623970      PMCID: PMC7112723          DOI: 10.1002/14651858.CD001118.pub4

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  197 in total

1.  Comparison of two self-help smoking cessation booklets.

Authors:  K P Balanda; J B Lowe; M L O'Connor-Fleming
Journal:  Tob Control       Date:  1999       Impact factor: 7.552

2.  Effectiveness of a computer-tailored smoking cessation program: a randomized trial.

Authors:  J F Etter; T V Perneger
Journal:  Arch Intern Med       Date:  2001-11-26

3.  Transtheoretical principles and processes for quitting smoking: a 24-month comparison of a representative sample of quitters, relapsers, and non-quitters.

Authors:  Xiaowa Sun; James O Prochaska; Wayne F Velicer; Robert G Laforge
Journal:  Addict Behav       Date:  2007-04-14       Impact factor: 3.913

4.  Disengagement beliefs in smokers: do they influence the effects of a tailored persuasive message advocating smoking cessation?

Authors:  A Dijkstra
Journal:  Psychol Health       Date:  2009-09

5.  Minimal contact treatment for smoking cessation. A placebo controlled trial of nicotine polacrilex and self-directed relapse prevention: initial results of the Stanford Stop Smoking Project.

Authors:  S P Fortmann; J D Killen; M J Telch; B Newman
Journal:  JAMA       Date:  1988-09-16       Impact factor: 56.272

6.  Informing smokers on additives in cigarettes: a randomized trial.

Authors:  Jean-François Etter
Journal:  Patient Educ Couns       Date:  2007-02-23

7.  Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms.

Authors:  James O Prochaska; Wayne F Velicer; Colleen Redding; Joseph S Rossi; Michael Goldstein; Judith DePue; Geoffrey W Greene; Susan R Rossi; Xiaowu Sun; Joseph L Fava; Robert Laforge; William Rakowski; Brett A Plummer
Journal:  Prev Med       Date:  2005-08       Impact factor: 4.018

8.  Use of cancer control referrals by 2-1-1 callers: a randomized trial.

Authors:  Matthew W Kreuter; Katherine S Eddens; Kassandra I Alcaraz; Suchitra Rath; Choi Lai; Nikki Caito; Regina Greer; Nikisha Bridges; Jason Q Purnell; Anjanette Wells; Qiang Fu; Colleen Walsh; Erin Eckstein; Julia Griffith; Alissa Nelson; Cicely Paine; Tiffany Aziz; Anne M Roux
Journal:  Am J Prev Med       Date:  2012-12       Impact factor: 5.043

9.  Quitline cessation counseling for young adult smokers: a randomized clinical trial.

Authors:  Tammy H Sims; Timothy McAfee; David L Fraser; Timothy B Baker; Michael C Fiore; Stevens S Smith
Journal:  Nicotine Tob Res       Date:  2012-10-18       Impact factor: 4.244

10.  Effectiveness of a quality improvement intervention targeting cardiovascular risk factors: are patients responsive to information and encouragement by mail or post?

Authors:  Ellie Senesael; Liesbeth Borgermans; Erwin Van De Vijver; Dirk Devroey
Journal:  Vasc Health Risk Manag       Date:  2013-02-13
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1.  Biomedical risk assessment as an aid for smoking cessation.

Authors:  Carole Clair; Yolanda Mueller; Jonathan Livingstone-Banks; Bernard Burnand; Jean-Yves Camain; Jacques Cornuz; Myriam Rège-Walther; Kevin Selby; Raphaël Bize
Journal:  Cochrane Database Syst Rev       Date:  2019-03-26

2.  Organizational Characteristics and Smoking Cessation Support in Community-Based Lung Cancer Screening Programs.

Authors:  Christina Bellinger; Kristie Long Foley; Emily V Dressler; Carol Kittel; David P Miller; Kathryn E Weaver; Erin L Sutfin; W Jeffrey Petty; John Spangler; Rebecca Stone; Daniel M Anderson; Heather Kehn; Cindy Steenstra; Rajiv Panikkar; Caroline Chiles
Journal:  J Am Coll Radiol       Date:  2022-03-02       Impact factor: 5.532

3.  Smoking and gastrointestinal cancer patients-is smoking cessation an attainable goal?

Authors:  James R Barrett; Linda Cherney-Stafford; Esra Alagoz; Megan E Piper; Jessica Cook; Stephanie Campbell-Flohr; Sharon M Weber; Emily R Winslow; Sean M Ronnkleiv-Kelly; Daniel E Abbott
Journal:  J Surg Oncol       Date:  2019-10-31       Impact factor: 3.454

4.  Targeted smoking cessation for dual users of combustible and electronic cigarettes: a randomised controlled trial.

Authors:  Ursula Martinez; Vani N Simmons; Steven K Sutton; David J Drobes; Lauren R Meltzer; Karen O Brandon; Margaret M Byrne; Paul T Harrell; Thomas Eissenberg; Christopher R Bullen; Thomas H Brandon
Journal:  Lancet Public Health       Date:  2021-07

5.  Smoking reduction interventions for smoking cessation.

Authors:  Nicola Lindson; Elias Klemperer; Bosun Hong; José M Ordóñez-Mena; Paul Aveyard
Journal:  Cochrane Database Syst Rev       Date:  2019-09-30

6.  Real-time video counselling for smoking cessation.

Authors:  Flora Tzelepis; Christine L Paul; Christopher M Williams; Conor Gilligan; Tim Regan; Justine Daly; Rebecca K Hodder; Emma Byrnes; Judith Byaruhanga; Tameka McFadyen; John Wiggers
Journal:  Cochrane Database Syst Rev       Date:  2019-10-29

7.  Telephone counselling for smoking cessation.

Authors:  William Matkin; José M Ordóñez-Mena; Jamie Hartmann-Boyce
Journal:  Cochrane Database Syst Rev       Date:  2019-05-02

8.  Additional behavioural support as an adjunct to pharmacotherapy for smoking cessation.

Authors:  Jamie Hartmann-Boyce; Bosun Hong; Jonathan Livingstone-Banks; Hannah Wheat; Thomas R Fanshawe
Journal:  Cochrane Database Syst Rev       Date:  2019-06-05

Review 9.  Strategies to improve smoking cessation rates in primary care.

Authors:  Nicola Lindson; Gillian Pritchard; Bosun Hong; Thomas R Fanshawe; Andrew Pipe; Sophia Papadakis
Journal:  Cochrane Database Syst Rev       Date:  2021-09-06

10.  Predictors of long-term smoking cessation among smokers enrolled in a university smoking cessation program: A longitudinal study.

Authors:  Hyundeok Joo; Mi Hee Cho; Yongjung Cho; Hee-Kyung Joh; Ji Won Kim
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.889

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