Effectiveness of proactive Quitline service and predictors of successful smoking cessation: findings from a preliminary study of Quitline service for smoking cessation in Korea

Factors influencing tobacco quitting: findings from National Tobacco-Quitline Services, Mumbai, India

The Government of India established National Tobacco Quitline Services (NTQLS) to provide free and effective telephonic counselling to help people quit tobacco. The objective of the paper is to present the data of tobacco quitters who quit tobacco through NTQLS, Mumbai, in the years 2021-2022 and the factors that influenced tobacco quitting. This is a prospective study where individuals willing to quit tobacco utilised NTQLS. Effective counselling was provided and was followed up. Multiple logistic regression analysis was conducted. Tobacco quitting is the dependent variable while sociodemographic characteristics, tobacco consumption habits, previous quit attempts, alcohol consumption, other substance use and co-morbidity were independent variables. In the years 2021-2022, a total of 448,893 calls hit the system. Of these, 127,163 (28.3%) calls were attended. Of the attended calls, a quit date was set for 21,504 calls (16.9%); of these, 8,276 (38.5%) callers quit tobacco. Individuals with no previous quit attempts [OR: 1.48, 95% confidence interval (CI): 1.25-1.75], never consumed alcohol (OR: 1.37, 95%CI: 1.2-1.56), consumed tobacco within 6-30 minutes (OR: 1.29, 95% CI: 1.12-1.49) and 30-60 minutes after waking up (OR: 1.26, 95% CI: 1.05-1.51) had higher quitting rates. While, female callers (OR: 0.59, 95% CI: 0.35-0.99), private sector workers (OR: 0.70, 95% CI: 0.61-0.81), individuals consuming more than ten tobacco units/packets (OR: 0.70, 95% CI: 0.61-0.79), tobacco use more than 10 years (OR: 0.85, 95% CI: 0.73-0.97), expenditure of more than 5,000 rupees on tobacco (OR: 0.58, 95% CI: 0.44-0.77) and those with no known co-morbid conditions (OR: 0.8, 95% CI: 0.71-0.91) were less likely to quit tobacco. Reduced tobacco consumption will inadvertently reduce the non-communicable disease (NCD) burden and help in achieving the sustainable development goals related to tobacco control and NCD. Quitline plays an important role in tobacco control.

Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India

AIM

Our study aimed to evaluate the prevalence of tobacco use among factory workers and identify the predicting factors for quitting tobacco use.

MATERIALS AND METHODS

In this cross-sectional study, a total of 640 factory workers were included and divided into the quitter group and who had never quit the tobacco habit in the past. Data were collected by standardized and validated questionnaire pro forma, which comprised the demographic profile, smoking history, and Fagerstrom scale to check the nicotine dependence. Data were analyzed using descriptive analysis and Chi-squares test, whereas logistic regression was used to predict the factor for quitting the tobacco habit. All tests were applied using Statistical Package for the Social Sciences (SPSS) version 17.0.

RESULTS

The mean age among the quitters was comparatively low than the never-quit group. Out of 640 participants, the majority of quitters and those who never quit were found to consume smokeless tobacco (232 [93.5]; 288 [73.5]). As per logistic regression analysis, gender of participants, age of starting tobacco use, and frequency of tobacco use can be considered as good predictors to quit smoking/chewing tobacco.

CONCLUSION

The present study found that participants in the quitter group were less dependent on tobacco, and these participants were more likely to quit smoking if behavioral support was provided at the early days of the quitting attempt.

CLINICAL SIGNIFICANCE

This study's result provides valuable insight into the current tobacco usage and potential predicting factors for quitting tobacco use among factory workers in India. These data can help in developing a policy for the implementation of tobacco cessation programs at the worksite.

An evaluation study of a gender-specific smoking cessation program to help Hong Kong Chinese women quit smoking

BACKGROUND

There is a lack of population-based smoking cessation interventions targeting woman smokers in Hong Kong, and in Asia generally. This study aimed to evaluate the effectiveness of a gender-specific smoking cessation program for female smokers in Hong Kong.

METHODS

To evaluate the effectiveness of the service, a total of 457 eligible smokers were recruited. After the baseline questionnaire had been completed, a cessation counseling intervention was given by a trained counselor according to the stage of readiness to quit. Self-reported seven-day point prevalence of abstinence and reduction of cigarette consumption (≥50 %) and self-efficacy in rejecting tobacco were documented at one week and at two, three and six months.

RESULTS

The 7-day point prevalence quit rate was 28.4 % (130/457), and 21.9 % (100/457) had reduced their cigarette consumption by at least 50 % at the six-month follow-up. The average daily cigarette consumption was reduced from 8.3 at baseline to 6.3 at six months. Moreover, both internal and external stimuli of anti-smoking self-efficacy increased from baseline to six months.

CONCLUSIONS

The study provides some evidence for the effectiveness of the gender-specific smoking cessation program for female smokers. Furthermore, helping smokers to improve their self-efficacy in resisting both internal and external stimuli of tobacco use can be a way of enhancing the effectiveness of a smoking cessation intervention.

Biomarkers of Response to Smoking Cessation Pharmacotherapies: Progress to Date

For the past 30 years, research examining predictors of successful smoking cessation treatment response has focused primarily on clinical variables, such as levels of tobacco dependence, craving, and self-efficacy. However, recent research has begun to determine biomarkers (such as genotype, nicotine and metabolite levels, and brain imaging findings) that may have utility in predicting smoking cessation. For genotype, genes associated with nicotinic acetylcholine receptors (nAChRs) and related proteins have been found to predict response to first-line medications (e.g. nicotine replacement therapy [NRT], bupropion, or varenicline) or quitting over time without a controlled treatment trial. For nicotine and metabolite levels, function of the cytochrome P450 2A6 liver enzyme, which can be assessed with the nicotine metabolite ratio or via genotype, has been found to predict response, with slow nicotine metabolizers having less severe nicotine dependence and a greater likelihood of quitting with NRT than normal metabolizers. For brain imaging, decreased activation of brain regions associated with emotion regulation and increased connectivity in emotion regulation networks, increased responsiveness to pleasant cues, and altered activation with the Stroop effect have been found in smokers who quit with the first-line medications listed above or counseling. In addition, our group recently demonstrated that lower pre-treatment brain nAChR density is associated with a greater chance of quitting smoking with NRT or placebo. Several of these studies found that specific biomarkers may provide additional information for predicting response beyond subjective symptom or rating scale measures, thereby giving an initial indication that biomarkers may, in the future, be useful for guiding smoking cessation treatment intensity, duration, and type.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support via helplines and in other settings to help smokers quit.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register for studies of telephone counselling, using search terms including 'hotlines' or 'quitline' or 'helpline'. Date of the most recent search: May 2013.

SELECTION CRITERIA

randomized or quasi-randomised controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

One author identified and data extracted trials, and a second author checked them. The main outcome measure was the risk ratio for abstinence from smoking after at least six months follow-up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst subgroups of clinically comparable studies using the I² statistic. We considered trials recruiting callers to quitlines separately from studies recruiting in other settings. Where appropriate, we pooled studies using a fixed-effect model. We used a meta-regression to investigate the effect of differences in planned number of calls, selection for motivation, and the nature of the control condition (self help only, minimal intervention, pharmacotherapy) in the group of studies recruiting in non-quitline settings.

MAIN RESULTS

Seventy-seven trials met the inclusion criteria. Some trials were judged to be at risk of bias in some domains but overall we did not judge the results to be at high risk of bias. Among smokers who contacted helplines, quit rates were higher for groups randomized to receive multiple sessions of proactive counselling (nine studies, > 24,000 participants, risk ratio (RR) for cessation at longest follow-up 1.37, 95% confidence interval (CI) 1.26 to 1.50). There was mixed evidence about whether increasing the number of calls altered quit rates but most trials used more than two calls. Three studies comparing different counselling approaches during a single quitline contact did not detect significant differences. Of three studies that tested the provision of access to a hotline two detected a significant benefit and one did not.Telephone counselling not initiated by calls to helplines also increased quitting (51 studies, > 30,000 participants, RR 1.27; 95% CI 1.20 to 1.36). In a meta-regression controlling for other factors the effect was estimated to be slightly larger if more calls were offered, and in trials that specifically recruited smokers motivated to try to quit. The relative extra benefit of counselling was smaller when it was provided in addition to pharmacotherapy (usually nicotine replacement therapy) than when the control group only received self-help material or a brief intervention.A further eight studies were too diverse to contribute to meta-analyses and are discussed separately. Two compared different intensities of counselling, both of which detected a dose response; one of these detected a benefit of multiple counselling sessions over a single call for people prescribed bupropion. The others tested a variety of interventions largely involving offering telephone counselling as part of a referral or systems change and none detected evidence of effect.

AUTHORS' CONCLUSIONS

Proactive telephone counselling aids smokers who seek help from quitlines. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness. There is limited evidence about the optimal number of calls. Proactive telephone counselling also helps people who receive it in other settings. There is some evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increase the chances of quitting compared to a minimal intervention such as providing standard self-help materials, or brief advice, or compared to pharmacotherapy alone.

Cigarette quitlines, taxes, and other tobacco control policies: a state-level analysis

This paper estimates monthly quitline calls using panel data at the state level from January 2005 to June 2010. Calls to state quitline numbers (or 1-800-QUITNOW) were measured per million adult smokers in each state. The policies considered include excise taxes, workplace and public smoking bans, and a Peter Jennings television-based program warning of the health risks of smoking. We found that people anticipating increases in prices begin attempting to quit by calling quitlines. Finally, the Peter Jennings media campaign was highly correlated with quitline calls.

Predictors of abstinence among smokers recruited actively to quitline support

AIMS

Active recruitment of smokers increases the reach of quitlines; however, some quitlines restrict proactive telephone counselling (i.e. counsellor-initiated calls) to smokers ready to quit within 30 days. Identifying characteristics associated with successful quitting by actively recruited smokers could help to distinguish those most likely to benefit from proactive telephone counselling. This study assessed the baseline characteristics of actively recruited smokers associated with prolonged abstinence at 4, 7 and 13 months and the proportion achieving prolonged abstinence that would miss out on proactive telephone counselling if such support was offered only to smokers intending to quit within 30 days at baseline.

DESIGN

Secondary analysis of a randomized controlled trial in which the baseline characteristics associated with prolonged abstinence were examined.

SETTING

New South Wales (NSW) community, Australia.

PARTICIPANTS

A total of 1562 smokers recruited at random from the electronic NSW telephone directory.

MEASUREMENTS

Baseline socio-demographic and smoking-related characteristics associated with prolonged abstinence at 4, 7 and 13 months post-recruitment.

FINDINGS

Waiting more than an hour to smoke after waking and intention to quit within 30 days at baseline predicted five of the six prolonged abstinence measures. If proactive telephone counselling was restricted to smokers who at baseline intended to quit within 30 days, 53.8-65.9% of experimental group participants who achieved prolonged abstinence would miss out on telephone support.

CONCLUSIONS

Less addicted and more motivated smokers who are actively recruited to quitline support are more likely to achieve abstinence. Most actively recruited smokers reported no intention to quit within the next 30 days, but such smokers still achieved long-term abstinence.

Predictors of 3-month abstinence in smokers attending stop-smoking clinics in Malaysia

INTRODUCTION

Much is known about the predictors of success in quitting smoking. In particular, nicotine dependence, but not strength of motivation to stop, appears to predict abstinence. However, to date, studies have come almost exclusively from Western countries. More data are needed on the cross-cultural generalizability of these findings.

METHODS

One hundred and ninety-eight smokers attending 5 stop-smoking clinics in Malaysia completed a questionnaire prior to their target quit date and were followed up 3 months after this date. Predictors included sociodemographic variables, smoking patterns, past history of quitting, characteristics of current quit attempt, and smoking motives as well as nicotine dependence (Fagerström Test for Nicotine Dependence [FTND]) and self-rated strength of motivation of stop.

RESULTS

At 3-month follow-up, 35.4% (95% CI: 28.7-42.0) of participants reported being abstinent. A backward elimination multiple logistic regression identified a number of significant predictors of success, including strength of motivation to stop (adjusted odds ratio [OR]: 3.05, 95% CI: 1.28-7.25). FTND did not predict success.

CONCLUSIONS

Motivation and nicotine dependence may play different roles in explaining variation in ability to stop smoking in different cultures.

Telephone counselling for smoking cessation

BACKGROUND

Telephone services can provide information and support for smokers. Counselling may be provided proactively or offered reactively to callers to smoking cessation helplines.

OBJECTIVES

To evaluate the effect of proactive and reactive telephone support to help smokers quit.

SEARCH STRATEGY

We searched the Cochrane Tobacco Addiction Group trials register for studies using free text term 'telephone*' or the keywords 'telephone counselling' or 'Hotlines' or 'Telephone' . Date of the most recent search: January 2006.

SELECTION CRITERIA

Randomized or quasi-randomized controlled trials in which proactive or reactive telephone counselling to assist smoking cessation was offered to smokers or recent quitters.

DATA COLLECTION AND ANALYSIS

Trials were identified and data extracted by one person (LS) and checked by a second (TL). The main outcome measure was the odds ratio for abstinence from smoking after at least six months follow up. We selected the strictest measure of abstinence, using biochemically validated rates where available. We considered participants lost to follow-up to be continuing smokers. Where trials had more than one arm with a less intensive intervention we used only the most similar intervention without the telephone component as the control group in the primary analysis. We assessed statistical heterogeneity amongst sub groups of clinically comparable studies using the I(2) statistic. Where appropriate, we pooled studies using a fixed-effect model. A meta-regression was used to investigate the effect of differences in planned number of calls.

MAIN RESULTS

Forty-eight trials met the inclusion criteria. Among smokers who contacted helplines, quit rates were higher for groups randomised to receive multiple sessions of call-back counselling (eight studies, >18,000 participants, odds ratio (OR) for long term cessation 1.41, 95% confidence interval (CI) 1.27 to 1.57). Two of these studies showed a significant benefit of more intensive compared to less intensive intervention. Telephone counselling not initiated by calls to helplines also increased quitting (29 studies, >17,000 participants, OR 1.33, 95% CI 1.21 to 1.47). A meta-regression detected a significant association between the maximum number of planned calls and the effect size. There was clearer evidence of benefit in the subgroup of trials recruiting smokers motivated to quit. Of two studies that provided access to a hotline one showed a significant benefit and one did not. Two studies comparing different counselling approaches during a single session did not detect significant differences. A further seven studies were too diverse to contribute to meta-analyses and are discussed separately.

AUTHORS' CONCLUSIONS

Proactive telephone counselling helps smokers interested in quitting. There is evidence of a dose response; one or two brief calls are less likely to provide a measurable benefit. Three or more calls increases the odds of quitting compared to a minimal intervention such as providing standard self-help materials, brief advice, or compared to pharmacotherapy alone. Telephone quitlines provide an important route of access to support for smokers, and call-back counselling enhances their usefulness.