Cognitive, behavioural and psychosocial factors associated with successful and maintained quit smoking status among patients who received smoking cessation intervention with nurses’ counselling

2017 ◽  
Vol 73 (7) ◽  
pp. 1681-1695 ◽  
Author(s):  
Chie Taniguchi ◽  
Hideo Tanaka ◽  
Hideo Saka ◽  
Isao Oze ◽  
Kazunobu Tachibana ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Psychosocial Factors ◽  
Smoking Status ◽  
Smoking Cessation Intervention ◽  
Factors Associated ◽  
Quit Smoking ◽  
Cessation Intervention ◽  
Cognitive Behavioural

scholarly journals Text to Quit China: An mHealth Smoking Cessation Trial

2016 ◽  
Vol 31 (3) ◽  
pp. 217-225 ◽  
Author(s):  
Erik Augustson ◽  
Michael M. Engelgau ◽  
Shu Zhang ◽  
Ying Cai ◽  
Willie Cher ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Smoking Status ◽  
Text Message ◽  
Low Frequency ◽  
Smoking Cessation Intervention ◽  
Factors Associated ◽  
Cessation Intervention ◽  
Significant Difference ◽  
Intent To Treat

Purpose. To assess the feasibility, acceptability, and efficacy of a text message–based smoking cessation intervention in China. Design. Study design was a randomized control trial with a 6-month follow-up assessment of smoking status. Setting. Zhejiang, Heilongjiang, and Shaanxi provinces in China provided the study setting. Subjects. A total of 8000 adult smokers in China who used Nokia Life Tools and participated in phase 2 (smoking education via text message) of the study were included. Intervention. The high-frequency text contact (HFTC) group received one to three messages daily containing smoking cessation advice, encouragement, and health education information. The low-frequency text contact (LFTC) group received one weekly message with smoking health effects information. Measures. Our primary outcome was smoking status at 0, 1, 3, and 6 months after intervention. Secondary outcomes include participant perceptions of the HFTC intervention, and factors associated with smoking cessation among HFTC participants. Analysis. Descriptive and χ2 analyses were conducted to assess smoking status and acceptability. Factors associated with quitting were assessed using multiple logistic regression analyses. Results. Quit rates were high in both the HFTC and LFTC groups (HFTC: 0 month, 27.9%; 1 month, 30.5%; 3 months, 26.7%; and 6 months, 27.7%; LFTC: 0 month, 26.7%; 1 month, 30.4%; 3 months, 28.1%; and 6 months, 27.7%), with no significant difference between the two groups in an intent-to-treat analysis. Attitudes toward the HFTC intervention were largely positive. Conclusion. Our findings suggest that a text message–based smoking cessation intervention can be successfully delivered in China and is acceptable to Chinese smokers, but further research is needed to assess the potential impact of this type of intervention.

scholarly journals Dropout, response, and abstinence outcomes of a national text-messaging smoking cessation intervention for teens, SmokeFreeTeen

2020 ◽  
Author(s):  
Charmaine Chan ◽  
Kristyn Kamke ◽  
Freda Assuah ◽  
Sherine El-Toukhy
Keyword(s):  
Smoking Cessation ◽  
Text Messaging ◽  
Cox Regression ◽  
Smoking Status ◽  
Smoking Cessation Intervention ◽  
Cox Regression Analysis ◽  
Cessation Intervention ◽  
Quit Attempts ◽  
The Usa

Abstract Although text-messaging interventions are effective for smoking cessation, few target teens in the USA and little is known about their effectiveness. The purpose of this manuscript is to examine correlates of dropout, response to smoking status prompts, and abstinence rates among subscribers of SmokeFreeTeen, a free, publicly available text-messaging smoking cessation intervention sponsored by the National Cancer Institute’s SmokeFree.Gov initiative, on quit day through 1 month follow-up. In a sample of teens (N = 2,685), aged 13–19, we examined demographics, smoking frequency, cigarettes smoked per day, prequit intervention time (i.e., maximum of 14 days of prequit day preparation), and number of quit attempts as correlates of response and abstinence rates among program initiators (i.e., participants who reached quit day but dropped out on or before intervention end) and completers (i.e., participants who reached quit day and completed the intervention). We also conducted Cox regression analysis of time from quit day to dropout by daily and nondaily smoking status. Two-thirds (n = 1,733, 64.54%) dropped out before the intervention ended, with dropout rates peaking on quit day (n = 289, 13.10%). Response rate to smoking status prompts remained below 30% throughout the intervention. At intervention end and 1 month follow-up, abstinence was 2.63% and 2.55% among program initiators, whereas abstinence was 6.09% and 6.01% among program completers. Dropout, response, and abstinence rates did not consistently differ by subscriber characteristics. Prequit time was associated with decreased likelihood of dropping out (adjusted hazards ratio: 0.94, confidence interval [CI]: 0.93–0.95), responding to smoking status prompts (adjusted odds ratio [aOR]: 0.94, CI: 0.92–0.96), and being abstinent (aOR: 0.96, CI: 0.93–0.99) on quit day. Two or more quit attempts were associated with increased response (aOR: 1.61, CI: 1.16–2.23) and abstinence (aOR: 1.91, CI: 1.25–2.92) rates on Day 7. In a first assessment of SmokeFreeTeen outcomes, we document high dropouts and low response and abstinence rates. SmokeFreeTeen produced abstinence rates lower than comparable text-messaging interventions targeting teens and young adults. Improving SmokeFreeTeen’s reach, engagement, and effectiveness is needed.

scholarly journals Psychologists and Smoking Cessation Intervention: Unrealised Potential

2013 ◽  
Vol 8 (2) ◽  
pp. 76-84
Author(s):  
Jenny Bowman ◽  
Amanda Fletcher ◽  
John Wiggers ◽  
Amy Anderson ◽  
Kathleen McElwaine ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Health Professionals ◽  
Smoking Status ◽  
Negative Influence ◽  
Smoking Cessation Intervention ◽  
Care Provision ◽  
Clinical Encounters ◽  
Smoking Intervention ◽  
Cessation Intervention ◽  
Frequent Response

Smoking cessation interventions during routine clinical encounters by health professionals have the potential to reach smokers and facilitate cessation. Although psychologists might appear to be ideal providers of such interventions, international research suggests that their provision is limited. This paper reports the results of a survey conducted in NSW, Australia, of psychologists’ (n = 72) smoking intervention practices, attitudes, and barriers to providing such care. Less than half of the respondents reported assessing smoking status for ‘all or nearly all’ of their clients. Across a range of smoking cessation intervention types, the most frequent response given indicated provision to ‘none or almost none’ of clients who smoked. Only 13% of respondents indicated even ‘advising cessation’ to ‘all or nearly all’ of their smoking clients. Barriers included concern about negative influence on the therapeutic relationship, inadequacy of training and lack of confidence to intervene. Respondents were less likely to provide intervention for smoking than for cannabis, methamphetamine ‘ice’, and alcohol. The study suggests that the potential of Australian psychologists to assist smokers to quit is not being realised, and that there is a need to address the barriers to care provision.

scholarly journals Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: Study protocol for a randomized controlled study

2019 ◽  
Author(s):  
Alla Machulska ◽  
Kristian Kleinke ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Mobile Phone ◽  
Outcome Measures ◽  
Smoking Cessation Intervention ◽  
Control Group ◽  
Quit Smoking ◽  
Cessation Intervention ◽  
Randomized Control ◽  
Bias Modification

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

scholarly journals Mobile Social Network–Based Smoking Cessation Intervention for Chinese Male Smokers: Pilot Randomized Controlled Trial

10.2196/17522 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e17522
Author(s):  
Jinsong Chen ◽  
Elsie Ho ◽  
Yannan Jiang ◽  
Robyn Whittaker ◽  
Tingzhong Yang ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Social Network ◽  
Smoking Status ◽  
Intervention Group ◽  
Smoking Cessation Intervention ◽  
Smoking Abstinence ◽  
Mobile Social Network ◽  
Motivational Messages ◽  
Cessation Intervention ◽  
Chinese Male

Background Around 2 million Chinese people, mostly men, die annually from tobacco-related diseases; yet, fewer than 8% of Chinese smokers ever receive any smoking cessation support. Objective This study aimed to test the preliminary effectiveness and feasibility for a mobile social network (WeChat)–based smoking cessation intervention (SCAMPI program) among Chinese male smokers. Methods Chinese male smokers aged 25-44 years were recruited online from WeChat, the most widely used social media platform in China. Individuals using other smoking cessation interventions or who lacked capacity to provide online informed consent were excluded. Participants were randomly assigned (1:1) to intervention or control groups. Neither participants nor researchers were masked to assignment. The trial was fully online. All data were collected via WeChat. The intervention group received access to the full-version SCAMPI program, a Chinese-language smoking cessation program based on the Behaviour Change Wheel framework and relevant cessation guidelines. Specific intervention functions used in the program include: planning to help users make quitting plans, calculator to record quitting benefits, calendar to record progress, gamification to facilitate quitting, information about smoking harms, motivational messages to help users overcome urges, standardized tests for users to assess their levels of nicotine dependence and lung health, as well as a social platform to encourage social support between users. The control group had access to a static WeChat page of contacts for standard smoking cessation care. Both groups received incentive credit payments for participating. The primary outcome was 30-day biochemically verified smoking abstinence at 6 weeks after randomization, with missing data treated as not quitting. Secondary outcomes were other smoking status measures, reduction of cigarette consumption, study feasibility (recruitment and retention rate), and acceptability of and satisfaction with the program. Results The program recorded 5736 visitors over a 13-day recruitment period. We recruited 80 participants who were randomly allocated to two arms (n=40 per arm). At 6 weeks, 36 of 40 (90%) intervention participants and 35 of 40 (88%) control participants provided complete self-reported data on their daily smoking status via WeChat. Biochemically verified smoking abstinence at 6 weeks was determined for 10 of 40 (25%) intervention participants and 2 of 40 (5%) control participants (RR=5, 95% CI 1.2-21.4, P=.03). In the intervention group, the calculator function, motivational messages, and health tests were underused (less than once per week per users). Participants rated their satisfaction with the intervention program as 4.56 out of 5.00. Conclusions Our program is a novel, accessible, and acceptable smoking cessation intervention for Chinese male smokers. A future trial with a greater sample size and longer follow-up will identify if it is as effective as these preliminary data suggest. Trial Registration ANZCTR registry, ACTRN12618001089224; https://tinyurl.com/y536n7sx International Registered Report Identifier (IRRID) RR2-18071

scholarly journals Mobile Social Network–Based Smoking Cessation Intervention for Chinese Male Smokers: Pilot Randomized Controlled Trial (Preprint)

2019 ◽  
Author(s):  
Jinsong Chen ◽  
Elsie Ho ◽  
Yannan Jiang ◽  
Robyn Whittaker ◽  
Tingzhong Yang ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Social Network ◽  
Smoking Status ◽  
Intervention Group ◽  
Smoking Cessation Intervention ◽  
Smoking Abstinence ◽  
Mobile Social Network ◽  
Motivational Messages ◽  
Cessation Intervention ◽  
Chinese Male

BACKGROUND Around 2 million Chinese people, mostly men, die annually from tobacco-related diseases; yet, fewer than 8% of Chinese smokers ever receive any smoking cessation support. OBJECTIVE This study aimed to test the preliminary effectiveness and feasibility for a mobile social network (WeChat)–based smoking cessation intervention (SCAMPI program) among Chinese male smokers. METHODS Chinese male smokers aged 25-44 years were recruited online from WeChat, the most widely used social media platform in China. Individuals using other smoking cessation interventions or who lacked capacity to provide online informed consent were excluded. Participants were randomly assigned (1:1) to intervention or control groups. Neither participants nor researchers were masked to assignment. The trial was fully online. All data were collected via WeChat. The intervention group received access to the full-version SCAMPI program, a Chinese-language smoking cessation program based on the Behaviour Change Wheel framework and relevant cessation guidelines. Specific intervention functions used in the program include: planning to help users make quitting plans, calculator to record quitting benefits, calendar to record progress, gamification to facilitate quitting, information about smoking harms, motivational messages to help users overcome urges, standardized tests for users to assess their levels of nicotine dependence and lung health, as well as a social platform to encourage social support between users. The control group had access to a static WeChat page of contacts for standard smoking cessation care. Both groups received incentive credit payments for participating. The primary outcome was 30-day biochemically verified smoking abstinence at 6 weeks after randomization, with missing data treated as not quitting. Secondary outcomes were other smoking status measures, reduction of cigarette consumption, study feasibility (recruitment and retention rate), and acceptability of and satisfaction with the program. RESULTS The program recorded 5736 visitors over a 13-day recruitment period. We recruited 80 participants who were randomly allocated to two arms (n=40 per arm). At 6 weeks, 36 of 40 (90%) intervention participants and 35 of 40 (88%) control participants provided complete self-reported data on their daily smoking status via WeChat. Biochemically verified smoking abstinence at 6 weeks was determined for 10 of 40 (25%) intervention participants and 2 of 40 (5%) control participants (RR=5, 95% CI 1.2-21.4, <i>P</i>=.03). In the intervention group, the calculator function, motivational messages, and health tests were underused (less than once per week per users). Participants rated their satisfaction with the intervention program as 4.56 out of 5.00. CONCLUSIONS Our program is a novel, accessible, and acceptable smoking cessation intervention for Chinese male smokers. A future trial with a greater sample size and longer follow-up will identify if it is as effective as these preliminary data suggest. CLINICALTRIAL ANZCTR registry, ACTRN12618001089224; https://tinyurl.com/y536n7sx INTERNATIONAL REGISTERED REPORT RR2-18071

“After all – It doesn’t kill you to quit smoking”: An explorative analysis of the blog in a smoking cessation intervention

2013 ◽  
Vol 41 (7) ◽  
pp. 655-661 ◽  
Author(s):  
Caroline Lyng Brandt ◽  
Peter Dalum ◽  
Lise Skov-Ettrup ◽  
Janne Schurmann Tolstrup
Keyword(s):  
Smoking Cessation ◽  
Smoking Cessation Intervention ◽  
Quit Smoking ◽  
Cessation Intervention

scholarly journals Mobile Phone–Based Smoking-Cessation Intervention for Patients Undergoing Elective Surgery: Protocol for a Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Marcus Bendtsen ◽  
Catharina Linderoth ◽  
Preben Bendtsen
Keyword(s):  
Randomized Controlled Trial ◽  
Smoking Cessation ◽  
Mobile Phone ◽  
Elective Surgery ◽  
Controlled Trial ◽  
Smoking Cessation Intervention ◽  
Care Clinic ◽  
Randomized Controlled ◽  
Quit Smoking ◽  
Cessation Intervention

BACKGROUND Several large studies have shown that the risk of cardiovascular, respiratory, and wound-healing complications (including death) within 30 days of surgery is greater for smokers than for nonsmokers. However, there is evidence that even short-term perioperative smoking cessation may reduce postoperative morbidity. Over the past few years, it has become more evident that short message service (SMS)–based interventions can help individuals quit smoking. OBJECTIVE The overall aim of this project is to fill the knowledge gap on whether an SMS-based smoking-cessation intervention can be effective in helping patients stop smoking perioperatively. The aim of this trial is to evaluate the effectiveness of an SMS-based intervention on smoking behavior of patients undergoing elective surgery. METHODS A two-arm parallel-group randomized controlled trial will be conducted at 20 surgical departments in southeast Sweden. Smokers undergoing elective surgery who own a mobile phone will be included. Power calculations indicate that it will be necessary to randomize 434 participants. One group will be given access to a novel 12-week SMS program, which includes daily SMS messages with behavior change–enforcing text content and hyperlinks to interactive modules, while the other group will not be given access to the intervention. Both groups will have access to the surgical departments’ current routine for smoking cessation prior to surgery. Primary outcome measures, prolonged abstinence, and point prevalence of smoking cessation will be measured through questionnaires at 3, 6, and 12 months after randomization. Logistic regression models adjusted using baseline characteristics will be explored to identify potential effects of the intervention. RESULTS Recruitment started in late October 2018 and is expected to last for a maximum of 30 months. The first results are expected to be available approximately 3 months after the final date of recruitment. CONCLUSIONS Owing to the structural problems and scarcity of time and resources, patients at most Swedish surgical departments are simply instructed to quit smoking, and perhaps, referred to a primary health care clinic. An SMS-based smoking-cessation aid can be effective in helping individuals quit smoking and is a very simple and time-efficient tool for surgical departments to use. CLINICALTRIAL ISRCTN Registry ISRCTN33869008; http://www.isrctn.com/ISRCTN33869008 INTERNATIONAL REGISTERED REPOR PRR1-10.2196/12511

scholarly journals Retraining automatic action tendencies for smoking using mobile phone-based approach-avoidance bias training: Study protocol for a randomized controlled study

2019 ◽  
Author(s):  
Alla Machulska ◽  
Tanja Joan Eiler ◽  
Armin Grünewald ◽  
Rainer Brück ◽  
Katharina Jahn ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Mobile Phone ◽  
Smoking Behavior ◽  
Smoking Cessation Intervention ◽  
Controlled Study ◽  
Future Research ◽  
Control Group ◽  
Waitlist Control ◽  
Quit Smoking ◽  
Cessation Intervention

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

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