scholarly journals Evaluation of a (pilot) stage-tailored brief smoking cessation intervention among hospital patients

2000 ◽  
Vol 23 (3) ◽  
pp. 83 ◽  
Author(s):  
Chris Rissel ◽  
Allison Salmon ◽  
Ann-Maree Hughes

Despite the significant benefits of advising all smokers to quit, hospital patients who smoke do not systematicallyreceive this advice. This study sought to determine the prevalence of smoking, attitudes of patients towards notsmoking while in hospital, and the feasibility and effectiveness of a brief smoking cessation intervention in a pre-admissionclinic context. Over 230 smokers received a brief smoking cessation intervention, while a control group(n=114) received only a free Quit Kit. The age-standardised smoking prevalence was 19%; a further 3% of patientswere recent quitters. Most smokers do not expect or experience problems with not smoking while in hospital. Briefsmoking cessation advice tailored to stage-of-change by a health worker in a hospital pre-admission clinic significantlyincreased the quit rates for females.

PEDIATRICS ◽  
2000 ◽  
Vol 105 (Supplement_2) ◽  
pp. 267-271
Author(s):  
Judith A. Groner ◽  
Karen Ahijevych ◽  
Lindsey K. Grossman ◽  
Leslie N. Rich

Objective. To determine if mothers receiving a smoking cessation intervention emphasizing health risks of environmental tobacco smoke (ETS) for their children have a higher quit rate than 1) mothers receiving routine smoking cessation advice or 2) a control group. Design. Randomized, controlled trial. Setting. Primary care center in a large urban children's hospital. Intervention. Four hundred seventy-nine mothers were randomly assigned to a smoking cessation intervention either aimed at their child's health or their own health, or to a control group receiving safety information. Outcome Measures. Smoking status, stage of change, cigarettes/day, location smoking occurred, and knowledge of ETS effects. Results. Complete data (baseline and both follow-ups) were available for 166 subjects. There was no impact of group assignment on the quit rate, cigarettes/day, or stage of change. The Child Health Group intervention had a sustained effect on location where smoking reportedly occurred (usually outside) and on improved knowledge of ETS effects. Conclusions. Further research is needed to devise more effective methods of using the pediatric health care setting to influence adult smoking behaviors.


Author(s):  
Ting Luo ◽  
Mirandy Li ◽  
Donna Williams ◽  
Jackson Fritz ◽  
Stephen Phillippi ◽  
...  

Introduction: Tobacco use, which is directly responsible for 10% of total deaths per year globally, remains consistently high, with approximately 20% of the population reporting regular consumption globally. Moreover, health disparities regarding tobacco consumption and smoking cessation are growing between rural and urban populations worldwide. Social media interventions for tobacco cessation may effectively reach both groups. The objective of this study was to evaluate the efficacy of a WeChat-delivered smoking cessation intervention among rural and urban Chinese smokers, and to assess moderating variables that may contribute to differential intervention efficacy. Methods: WeChat was used to recruit smokers into this intervention study between 1 July and 5 August 2019. Participants were randomized to one of three intervention schedules: participants in the Standard Group and the Enhanced Group received 20 smoking-related messages over 2 weeks, whereas participants in the Enhanced Group received an extra 6 oral health-related messages for one week. Participants in the control group received 20 smoking-related messages after the post-intervention assessment. Participants completed questionnaires at baseline and at 4 weeks follow-up. Our primary outcome was smoking cessation stage of change and secondary outcome was 24-h point prevalence abstinence (PPA). Urban and rural areas were based on self-reported living areas. Chi-squared test, Fisher’s exact test, ANOVA test, linear regression, and logistic regression were used for analysis. Results: Overall, 403 participants completed the intervention (233 rural, 107 suburban, 63 urban). Compared to urban participants, rural participants were more likely to have progressed to a later stage of change (β = 0.40, 95% CI: 0.13, 0.67) and to report higher 24-h PPA rates at follow-up (aOR = 3.23, 95% CI: 1.36, 7.68). After stratification by living area, the intervention effects in stage of change and 24-h PPA rate at follow-up were only found in the urban subgroup. Discussion: Smokers who lived in rural areas reported better smoking cessation outcomes compared with urban smokers; however, the efficacy of a WeChat-based smoking cessation intervention was only found for participants living in an urban area. WeChat based smoking cessation interventions should be used to promote smoking cessation in urban, suburban, and rural areas.


2019 ◽  
Author(s):  
David Pócs ◽  
Tímea Óvári ◽  
Csaba Hamvai ◽  
Oguz Kelemen

BACKGROUND Smoking cessation support on Facebook (FB) is a cost-effective and extensible way to reduce tobacco use among young people. Motivational interviewing (MI) is a practical counselling style in face-to-face smoking cessation support and can be useful in web-based interventions as well. OBJECTIVE This study aimed at identifying which post creation strategies based on MI could achieve positive changes in FB post characteristics and FB users’ comments. METHODS We included MI-adherent posts (N=701) which were not boosted and were targeted at tobacco users. These FB posts have been categorized into five different groups according to specific MI strategies. The control group comprised entertaining and informative posts. Primary outcomes seem to highlight how the content has stimulated interactions (engagement rate), inhibited interactions (negative feedback) or appealed to the audience of the FB page (fan-total reach ratio). The first comments received on the FB posts were evaluated and used as secondary outcomes. We applied the classification of MI approach: change talk (CT), sustain talk (ST), desire, ability, reason, need (DARN), and commitment, activation, taking steps (CAT). RESULTS FB posts which used MI strategies were associated with significantly higher engagement rate (p=.010), higher fan-total reach ratio (p<.001), and more CT (p<.001), DARN (p=.005), or CAT comments (p=.003) compared to the control group. ‘Elaborating CT’ strategies elicited considerably more CT (p<.001) and DARN comments (p=.020). ‘Affirming CT’ strategies obtained higher fan-total reach ratio (p=.011) and generated significantly more CT (p=.006) and CAT comments (p<.001). ‘Reflecting CT’ strategies received significantly higher fan-total reach ratio (p<.001). Finally, ‘relational MI’ strategies achieved significantly higher engagement rate (p<.001) compared to the control group. It should be noted that we did not find significant difference in negative feedback and the number of ST comments. CONCLUSIONS Post creation strategies based on MI stimulated interactions with FB users and generated conversation about tobacco use cessation without relevant negative feedback. Our findings suggest that MI strategies may play a remarkable role in post creation within a web-based smoking cessation intervention. In the future, these strategies could be applicable to other online platforms, such as public health websites, health blogs, mobile applications or social networking groups.


2019 ◽  
Author(s):  
Alla Machulska ◽  
Kristian Kleinke ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
...  

Abstract Background: Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of Cognitive Bias Modification (CBM) approaches. Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple lab-training sessions. Here, we present a protocol for a randomized control design to improve CBM training efficiency and facilitate access to the training by providing mobile phone-based training sessions at home to current smokers motivated to quit smoking. Methods: Participants (n = 100) are current smokers who smoke at least 6 cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief behavioral smoking cessation intervention (TAU) and are randomly assigned either to an experimental (TAU + training) or a control group. Participants in the experimental condition are given access to a training app aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app-training outside the laboratory context on a daily basis for 14 consecutive days. Participants in the control group do not receive the training. Primary outcome measures are changes in smoking-related approach biases and reductions in daily nicotine consumption as assessed at baseline, post-training and at a six-week follow-up. Secondary outcome measures include approach biases for alternative stimuli or smoking stimuli to which participants were not exposed during training, attentional and association biases, biochemical outcomes, and self-reported smoking behavior, also measured at three different time points (baseline, post-training, follow-up). After completion of the study, smokers in the control condition will receive access to the training app. Discussion: This RCT is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimisation and advancement of CBM treatment for addiction. Trial registration: Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771 Key words: Approach Bias, Cogitive Bias Modification, cigarette smoking, nicotine addiction, Randomized Control Trial, smartphone apps


2020 ◽  
Author(s):  
Ivan Bindoff ◽  
Tristan R Ling ◽  
Peter Gee ◽  
Benjamin Geelan ◽  
Stuart G Ferguson ◽  
...  

BACKGROUND Numerous mobile health (mHealth) apps have been developed to support smokers attempting to quit smoking. Although these apps have been reported to be successful, only modest improvements in the quit rate have been measured. It has been proposed that efforts to improve user engagement and retention may improve the quit rate further. Owing to the high cost of smoking-related disease, it is considered worthwhile to pursue even small improvements. OBJECTIVE The aim of this study was to test a novel smartphone app that leverages premium currency strategies developed by the mobile games industry in an attempt to improve engagement and retention with a smoking cessation intervention. METHODS We designed and developed a smoking cessation app called “Quittr” in line with previously developed smoking cessation mHealth apps. In addition to this established framework, we added a stand-alone fully featured city-building clicker-style game called “Tappy Town,” and a premium virtual currency called “QuitCoins.” The user earns QuitCoins for using the app in a way that contributes positively toward their quit attempt, and they can redeem these coins in Tappy Town for bonuses. To establish whether these features improved engagement and retention, we ran a 5-month randomized controlled trial where the intervention group had the full app with the extra games features, while the control group had the standard app only. Recruitment was performed via web-based advertising. Participants (N=175) had no direct contact with the researchers or other support staff. RESULTS No significant differences in terms of engagement, retention, or smoking outcomes were found between the control and intervention groups. However, survey data indicated that the majority of the participants valued Tappy Town (10/17, 59%) and the QuitCoins rewards system (13/17, 77%). Usage data also suggested that Tappy Town was widely played and was generally appealing to users (mean total time spent in app, control group: 797 seconds vs intervention group: 3502 seconds, <i>P&lt;</i>.001). Analysis of the results suggests that users in the intervention group may have been negatively affected by the aspects of the chosen design, and some theories were explored to explain this unexpected outcome. CONCLUSIONS Although the novel features of the Quittr app failed to improve the key outcomes measured in this study, there were enough positive indications to warrant further exploration of the concept. Additional research will be required to identify and correct any design flaws that may have adversely affected our participants before a follow-up study can be completed. CLINICALTRIAL Australian and New Zealand Clinical Trials Register ACTRN12617000491369; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=372661&amp;isReview=true


Medical Care ◽  
2000 ◽  
Vol 38 (5) ◽  
pp. 451-459 ◽  
Author(s):  
Victor J. Stevens ◽  
Russell E. Glasgow ◽  
Jack F. Hollis ◽  
Kathy Mount

2019 ◽  
Author(s):  
Alla Machulska ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
Katharina Jahn ◽  
...  

Abstract Background: Automatic tendencies to approach drug-related cues have been linked to the development and maintainance of harmful drug taking behavior. Recent studies have demonstrated that these automatic approach tendencies can be targeted directly by means of Cognitive Bias Modification (CBM) approaches. Moreover, changing those approach tendencies may enhance treatment outcomes. However, training and therapy effects tend to be rather small and adherence to the training might be impaired by time-consuming multiple lab-training sessions. Here, we present a protocol for a randomized waitlist-control design to improve CBM training efficiency and facilitate access to the training by providing mobile phone-based training sessions at home to current smokers motivated to quit smoking. Methods/Design: Participants (n = 100) are current smokers who smoke at least 6 cigarettes per day for at least 6 months and are willing to quit smoking. All participants attend a brief smoking cessation intervention (TAU) and are randomly assigned either to a training or a waitlist-control group. Participants in the training condition are given access to a training app aimed at retraining automatic approach biases for smoking cues. Participants are instructed to perform the app-training outside the laboratory context on a daily basis for 14 consecutive days. Approach, attentional and association biases, biochemical outcomes, and self-reported smoking behavior will be measured at baseline, directly after training, and at a 4-week follow-up. After completition of the study, smokers in the waitlist-control condition will receive access to the training app. Discussion: This RCT is the first to test the effectiveness of an app-based CBM intervention as an adjunct to a brief smoking cessation intervention in smokers motivated to quit smoking. The results of this study can inform future research in the optimisation and advancement of CBM treatment for addiction. Trial Registration: Registered with Current Controlled Trials: study ID ISRCTN15690771. Registered on 20 November 2018; http://www.isrctn.com/ISRCTN15690771


2016 ◽  
Vol 51 (4) ◽  
pp. 597-608 ◽  
Author(s):  
Nancy A. Rigotti ◽  
Hilary A. Tindle ◽  
Susan Regan ◽  
Douglas E. Levy ◽  
Yuchiao Chang ◽  
...  

1999 ◽  
Vol 29 (6) ◽  
pp. 527-534 ◽  
Author(s):  
Penelope E. Schofield ◽  
David J. Hill ◽  
Colin I. Johnston ◽  
Jonathan A. Streeton

2000 ◽  
Vol 74 (3) ◽  
pp. 498-503 ◽  
Author(s):  
Edward G Hughes ◽  
David A Lamont ◽  
Mary Louise Beecroft ◽  
Douglas M.C Wilson ◽  
Barbara G Brennan ◽  
...  

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