Estimates of effectiveness and reach for 'return on investment' modelling of smoking cessation interventions using data from England

Options for modifying UK alcohol and tobacco tax: A rapid scoping review of the evidence over the period 1997-2018

Background

Increased taxation is recognised worldwide as one of the most effective interventions for decreasing tobacco and harmful alcohol use, with many variations of policy options available. This rapid scoping review was part of a NIHR-funded project ('SYNTAX' 16/105/26) and was undertaken during 2018 to inform interviews to be conducted with UK public health stakeholders with expertise in alcohol and tobacco pricing policy.

Methods

Objectives: To synthesise evidence and debates on current and potential alcohol and tobacco taxation options for the UK, and report on the underlying objectives, evidence of effects and mediating factors. Eligibility criteria: Peer-reviewed and grey literature; published 1997-2018; English language; UK-focused; include taxation interventions for alcohol, tobacco, or both. Sources of evidence: PubMed, Scopus, Cochrane Library, Google, stakeholder and colleague recommendations.

Charting methods

Excel spreadsheet structured using PICO framework, recording source characteristics and content.

Results

Ninety-one sources qualified for inclusion: 49 alcohol, 36 tobacco, 6 both. Analysis identified four policy themes: changes to excise duty within existing tax structures, structural reforms, industry measures, and hypothecation of tax revenue for public benefits. For alcohol, policy options focused on raising the price of cheap, high-strength alcohol. For tobacco, policy options focused on raising the price of all tobacco products, especially the cheapest products, which are hand-rolling tobacco. For alcohol and tobacco, there were options such as levies that take money from the industries to help reduce the societal costs of their products. Due to the perceived social and economic importance of alcohol in contrast to tobacco, policy options also discussed supporting pubs and small breweries.

Conclusions

This review has identified a set of tax policy options for tobacco and alcohol, their objectives, evidence of effects and related mediating factors. The differences between alcohol and tobacco tax policy options and debates suggest an opportunity for cross-substance policy learning.

How do Smokers in a Snus-Prevalent Society Consider E-cigarettes, Snus, and Nicotine Replacement Therapy Products as Relevant Replacements for Cigarettes in the Event They Should Stop Smoking?

INTRODUCTION

Around 50 percent of the tobacco in Norway is consumed in the form of snus, a smokeless oral tobacco. We examined Norwegian smokers' openness, and thereby the potential reach, to use e-cigarettes, nicotine replacement therapy products (NRT), and snus in the event of quitting smoking, in a society where snus use is common.

METHODS

Using data from an online survey of 4073 smokers from 2019 to 2021, we calculated predicted probabilities of smokers' being open, undecided, and not open to use e-cigarettes, snus, and NRT in the event they should quit smoking.

RESULTS

Among daily smokers, the probability of being open to use e-cigarettes in the event of quitting smoking was .32. The corresponding probabilities for using snus and NRT were .22 and .19. Snus was the product with the highest probability of not being open (.60). NRT had the highest probability of being undecided (.39). Among smokers who had never used e-cigarettes or snus, the probabilities of being open were .13 for e-cigarettes, .02 for snus and .11 for NRT.

CONCLUSIONS

In a snus-friendly norm climate where smokers have traditionally used snus as an alternative to cigarettes, the probability of using e-cigarettes in the event of smoking cessation was higher compared to both snus and NRT. However, among smokers who had never used e-cigarettes or snus, the likelihood of being open to use of NRT was similar to e-cigarettes, and higher than snus, which suggests that NRT may still play a role in smoking cessation.

IMPLICATIONS

In a snus-prevalent country in the endgame phase of the cigarette epidemic, where robust infrastructure for tobacco control in combination with the availability of snus has reduced smoking to a minimum, the remaining smokers seem to prefer e-cigarettes to snus if they should quit smoking. This indicates that availability of several nicotine alternatives might increase the likelihood of a future product replacement within the small group of remaining smokers.

Comparison of smoking cessation program registration, participation, smoking cessation medication utilization and abstinence rates between smokers with and without schizophrenia, schizo-affective disorder or bipolar disorder

INTRODUCTION

People with serious mental illness (SMI) are three times more likely to smoke and be heavy smokers than smokers without SMI. Counseling combined with smoking cessation medication (SCM) is the recommended treatment. However until 2017, SCM prescription for SMI smokers was discouraged (FDA black box warning). This study compared use of smoking cessation programs (SCP) and SCM between smokers with and without SMI.

METHODS

Data regarding SCP and SCM use were extracted from the database of a large HMO that offers free Group and telephone SCP. SCP registration, participation, completion and abstinence rates between July 2013 and December 2019 were compared between smokers with and without SMI, controlling for demographic and health variables.

RESULTS

48,000 smokers registered for a SCP during the study period. Smokers with SMI were 1.8 times more likely to register for a SCP than smokers without SMI. Smokers without SMI were, however, 1.2 times more likely to start the SCP, 1.5 times more likely to complete the SCP and 1.6 times more likely to have quit by the end of the program. The strongest factors predicting abstinence were SCP completion and SCM use. Smokers with SMI were less likely to purchase SCM, although their purchase rate increased after the black box warning was lifted.

CONCLUSIONS

Smoking cessation programs and SCM use should be encouraged in the SMI population. Providing support during the quit attempt and adapting SCP to the needs of smokers with SMI, combined with SCM prescription promotion, should improve abstinence.

IMPLICATIONS

Smokers with serious mental illness (SMI) were more likely to seek professional help to quit smoking than non-SMI smokers, with over 30% achieving abstinence, discrediting healthcare professional beliefs that SMI smokers don't want to and cannot quit. Smoking cessation program (SCP) completion and smoking cessation medication (SCM) utilization were the strongest predictors of abstinence. SMI smokers were more likely to drop out of SCPs and less likely to use SCMs. Providing support during the quit attempt and adapting SCPs to the needs of smokers with SMI, combined with SCM prescription promotion, should improve abstinence.

Health and economic impact at a population level of both primary and secondary preventive lung cancer interventions: A model-based cost-effectiveness analysis

OBJECTIVES

Robust economic evaluations are needed to identify efficient strategies for lung cancer prevention that combine brief and intensive smoking cessation intervention programmes with screening using low-dose computed tomography (LDCT) at different ages, frequencies, and coverages. We aimed to assess the cost-effectiveness of smoking cessation approaches combined with lung cancer screening in the European context at a population level from a societal perspective.

MATERIALS AND METHODS

A microsimulation model that describes the natural history of lung cancer and incorporates several prevention strategies was developed. Discounted lifetime QALYs and costs at a rate of 3% were used to calculate incremental cost-effectiveness ratios, defined as additional costs in 2017 Euros per QALY gained.

RESULTS

Smoking cessation interventions reduce the incidence of lung cancer by 8%-46% and are consistently more effective and cost-effective when starting at younger ages. Screening reduces lung cancer mortality by 1%-24% and is generally less effective and more costly than smoking cessation interventions. The most cost-effective strategy would be to implement intensive smoking cessation interventions at ages 35, 40 and 45, combined with screening every three years between the ages of 55 and 65.

CONCLUSIONS

Combining smoking cessation interventions with LDCT screening is a very attractive prevention strategy that substantially diminishes the burden of lung cancer. These combined prevention strategies, especially when providing several intensive interventions for smoking cessation at early ages, are more cost-effective than both approaches separately and allow for a more intensified LDCT without losing efficiency.

Smoking cessation counselling practices among health care providers dealing with cancer patients

AIM

To asses smoking cessation counselling practices (SCC) among health care providers dealing with cancer patients.

METHOD

A cross-sectional design was used with a sample of 300 providers from three hospitals in Jordan. A self-report questionnaire was distributed.

RESULTS

During the initial visit, the most frequent practices were asking patients if they smoke and advise smokers to quit (50%, 45% respectively). Only 13% of providers reported treating or referring patients for smoking use cessation intervention. During the follow-up visits, the most frequent practice was reinforcing the stopping of tobacco use 39%. Overall, physicians had the highest scores of adherence to applying SCC practices. Besides, over 85% of participants believe that tobacco cessation should be a standard part of cancer interventions and clinicians need more training. Over 80% agreed that barriers of implementing SCC practices include lack of training and resources. Finally, receiving SCC training, more years since completion of the most senior degree, and more time spent with cancer patients predicted a higher score of total SCC practices (P < .05).

CONCLUSION

It is essential to provide training, referral facilities, and supportive policies to encourage SCC practices.

Systematic identification and referral of smokers attending HIV ambulatory care highlights the failure of current service provision in an at-risk population

Introduction

People living with HIV (PLWH) are more likely to smoke than the general population and are at greater risk of smoking-related illness. Healthcare services need to address this burden of preventable disease.

Methods

We evaluated the impact of a brief intervention that asked service users about smoking when they attended for ambulatory HIV care in London, UK, and offered referral to smoking cessation.

Results

Overall, 1548 HIV-positive individuals were asked about their smoking status over a 12-month period. Of this group, 385 (25%) reported that they were current smokers, 372 (97%) were offered referral to smoking cessation services and 154 (40%) accepted this. We established an outcome of referral for 114 (74%) individuals. A total of 36 (10% of smokers) attended stop smoking clinics and 16 (4%) individuals were recorded as having quit smoking.

Discussion

The simple intervention of asking PLWH about tobacco smoking and offering referral to smoking cessation services rapidly identified current smokers, 40% of whom accepted referral to smoking cessation services. This highlights the importance of promoting behaviour and lifestyle changes with every contact with health services. However, a large proportion of those referred were either not seen in local services or the outcome of referral could not be ascertained. If the risk of smoking-related morbidity among PLWH is to be reduced, more sustainable referral pathways and ways of improving uptake of smoking cessation services must be developed.

Allen Carr's Easyway to Stop Smoking - A randomised clinical trial

OBJECTIVE

To determine if Allen Carr's Easyway to Stop Smoking (AC) was superior to Quit.ie in a randomised clinical trial (RCT).

SETTING

Single centre, open RCT, general population based.

PARTICIPANTS

300 adult smokers, 18 years plus, minimum 5 cigarettes daily, and English speaking. AC, 151 (females 44.4%) and Quit.ie, 149 (females 45.6%), mean age 44 years. outcomes for all 300 were analysed (intention-to-treat). Recruited through advertisement from July 2015 to February 2016.

INTERVENTION

Randomly assigned to AC (n=151) and Quit.ie (n=149), matched for age, sex and education. Block randomisation, enrolment and follow-up at 1, 3, 6 and 12 months. Primary aim was to determine if AC had higher quit rates than Quit.ie service at 3 months. Secondary aims: quit rates at 1, 6 and 12 months and analysis of associated factors including weight. AC consisted of a 5-hour seminar, in a group setting. Quit.ie is an online portal for smoking cessation.

RESULTS

AC had higher quit rates at 1, 3, 6 and 12 months. AC: 38%, (n=57), 27% (n=40), 23% (n=35), 22% (n=33) vs Quit.ie: 20% (n=30), 15% (n=22), 15% (n=23), 11% (n=17), respectively (all p values <0.05). Logistic regression AC vs Quit.ie, OR 2.26 (95% CI 1.22 to 4.21) p value=0.01. Weight gain 3.8 kg in AC vs 1.8 kg in Quit.ie (p value <0.05).

CONCLUSIONS

All AC quit rates were superior to Quit.ie, outcomes were comparable with established interventions.

TRIAL REGISTRATION NUMBER

ISRCTN12951013. Recruitment July 2015-February 2016.

Modelling continuous abstinence rates over time from clinical trials of pharmacological interventions for smoking cessation

BACKGROUND AND AIM

It is useful, for theoretical and practical reasons, to be able to specify functions for continuous abstinence over time in smoking cessation attempts. This study aimed to find the best-fitting models of mean proportion abstinent with different smoking cessation pharmacotherapies up to 52 weeks from the quit date.

METHODS

We searched the Cochrane Database of Systematic Reviews to identify randomized controlled trials (RCTs) of pharmacological treatments to aid smoking cessation. For comparability, we selected trials that provided 12 weeks of treatment. Continuous abstinence rates for each treatment at each follow-up point in trials were extracted along with methodological details of the trial. Data points for each pharmacotherapy at each follow-up point were aggregated where the total across contributing studies included at least 1000 participants per data point. Continuous abstinence curves were modelled using a range of different functions from the quit date to 52-week follow-up. Models were compared for fit using R2 and Bayesian information criterion (BIC).

RESULTS

Studies meeting our selection criteria covered three pharmacotherapies [varenicline, nicotine replacement therapy (NRT) and bupropion] and placebo. Power functions provided the best fit (R2  > 0.99, BIC < 17.0) to continuous abstinence curves from the target quit date in all cases except for varenicline, where a logarithmic function described the curve best (R2  = 0.99, BIC = 21.2). At 52 weeks, abstinence rates were 22.5% (23.0% modelled) for varenicline, 16.7% (16.0% modelled) for bupropion, 13.0% (12.4% modelled) for NRT and 8.3% (8.9% modelled) for placebo. For varenicline, bupropion, NRT and placebo, respectively, 55.9, 65.0, 62.3 and 56.5% of participants who were abstinent at the end of treatment were still abstinent at 52 weeks.

CONCLUSIONS

Mean continuous abstinence rates up to 52 weeks from initiation of smoking cessation attempts in clinical trials can be modelled using simple power functions for placebo, nicotine replacement therapy and bupropion and a logarithmic function for varenicline. This allows accurate prediction of abstinence rates from any time point to any other time point up to 52 weeks.

WHO FCTC Article 14 enforcement in Albania: An urgent issue to tackle

Tobacco use is a major preventable risk factor for non-communicable diseases such as cardiovascular disease, cancer etc. Smoking prevalence in Albania is high. The country ratified the World Health Organization Framework Convention on Tobacco Control (WHO FCTC) in 2006 and has passed different bills and adopted strict tobacco control laws during the years. Despite this, there is a huge gap in primary healthcare (PHC) personnel education in this field. Additionally, tobacco treatment support facilities, such as free of charge telephone quit lines, tobacco treatment clinics in hospitals or in the community, are lacking or not well established. Training of healthcare professionals in evidence-based practices as well as the development of national guidelines on tobacco treatment, capacity building for tobacco treatment delivery, pharmacotherapy availability, public opinion awareness and promotion of smoking cessation practices are some of the measures Albanian policy makers should undertake.

About One in Five Novice Vapers Buying Their First E-Cigarette in a Vape Shop Are Smoking Abstinent after Six Months

Background: E-cigarette use is rising with the majority of vapers purchasing their e-cigarettes in vape shops. We investigated the smoking/vaping trajectories and quit-smoking success rates of smokers deciding to start vaping for the first time and buying their e-cigarette in brick-and-mortar vape shops in Flanders. Methods: Participants filled out questionnaires assessing smoking/vaping behaviour at three moments (intake, after three and six months) and smoking status was biochemically verified using eCO measurements. Results: Participants (n = 71) were regular smokers (M_eCO-intake = 22 ppm), half of whom reported a motivation to quit smoking in the near future. Participants bought 3rd/4th generation e-cigarettes and e-liquid with a nicotine concentration averaging 7 mg/mL. A smoking reduction of 53% (17 cigarettes per day (CPD) at intake to 8 CPD after six months) was observed, whereas eCO decreased to 15 ppm. Eighteen percent of participants had quit smoking completely (eCO = 2 ppm), another 25% had at least halved CPD, whereas 57% had failed to reduce CPD by at least 50% (including 13% lost to follow-up). Quitters consumed more e-liquid than reducers and those who continued to smoke. Conclusions: Around one in five smoking customers buying their first e-cigarette in a brick-and-mortar vape shop had quit smoking completely after six months.

Estimates of costs for modelling return on investment from smoking cessation interventions

BACKGROUND AND AIMS

Modelling return on investment (ROI) from smoking cessation interventions requires estimates of their costs and benefits. This paper describes a standardized method developed to source both economic costs of tobacco smoking and costs of implementing cessation interventions for a Europe-wide ROI model [European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD)].

DESIGN

Focused search of administrative and published data. A standardized checklist was developed in order to ensure consistency in methods of data collection.

SETTING AND PARTICIPANTS

Adult population (15+ years) in Hungary, Netherlands, Germany, Spain and England. For passive smoking-related costs, child population (0-15 years) was also included.

MEASUREMENTS

Costs of treating smoking-attributable diseases; productivity losses due to smoking-attributable absenteeism; and costs of implementing smoking cessation interventions.

FINDINGS

Annual costs (per case) of treating smoking attributable lung cancer were between €5074 (Hungary) and €52 106 (Germany); coronary heart disease between €1521 (Spain) and €3955 (Netherlands); chronic obstructive pulmonary disease between €1280 (England) and €4199 (Spain); stroke between €1829 (Hungary) and €14 880 (Netherlands). Costs (per recipient) of smoking cessation medications were estimated to be: for standard duration of varenicline between €225 (England) and €465 (Hungary); for bupropion between €25 (Hungary) and €220 (Germany). Costs (per recipient) of providing behavioural support were also wide-ranging: one-to-one behavioural support between €34 (Hungary) and €474 (Netherlands); and group-based behavioural support between €12 (Hungary) and €257 (Germany). The costs (per recipient) of delivering brief physician advice were: €24 (England); €9 (Germany); €4 (Hungary); €33 (Netherlands); and €27 (Spain).

CONCLUSIONS

Costs of treating smoking-attributable diseases as well as the costs of implementing smoking cessation interventions vary substantially across Hungary, Netherlands, Germany, Spain and England. Estimates for the costs of these diseases and interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Estimates of effectiveness and reach for 'return on investment' modelling of smoking cessation interventions using data from England

BACKGROUND AND AIMS

Estimating 'return on investment' (ROI) from smoking cessation interventions requires reach and effectiveness parameters for interventions for use in economic models such as the EQUIPT ROI tool (http://roi.equipt.eu). This paper describes the derivation of these parameter estimates for England that can be adapted to create ROI models for use by other countries.

METHODS

Estimates were derived for interventions in terms of their reach and effectiveness in: (1) promoting quit attempts and (2) improving the success of quit attempts (abstinence for at least 12 months). The sources were systematic reviews of efficacy supplemented by individual effectiveness evaluations and national surveys.

FINDINGS

Quit attempt rates were estimated to be increased by the following percentages (with reach in parentheses): 20% by tax increases raising the cost of smoking 5% above the cost of living index (100%); 10% by enforced comprehensive indoor public smoking bans (100%); 3% by mass media campaigns achieving 400 gross rating points (100%); 40% by brief opportunistic physician advice (21%); and 110% by use of a licensed nicotine product to reduce cigarette consumption (12%). Quit success rates were estimated to be increased by the following ratios: 60% by single-form nicotine replacement therapy (NRT) (5%); 114% by NRT patch plus a faster-acting NRT (2%);124% by prescribed varenicline (5%); 60% by bupropion (1%); 100% by nortriptyline (0%), 10) 298% by cytisine (0%); 40% by individual face-to-face behavioural support (2%); 37% by telephone support (0.5%); 88% by group behavioural support (1%); 63% by text messaging (0.5%); and 19% by printed self-help materials (1%). There was insufficient evidence to obtain reliable, country-specific estimates for interventions such as websites, smartphone applications and e-cigarettes.

CONCLUSIONS

Tax increases, indoor smoking bans, brief opportunistic physician advice and use of nicotine replacement therapy (NRT) for smoking reduction can all increase population quit attempt rates. Quit success rates can be increased by provision of NRT, varenicline, bupropion, nortriptyline, cytisine and behavioural support delivered through a variety of modalities. Parameter estimates for the effectiveness and reach of these interventions can contribute to return on investment estimates in support of national or regional policy decisions.

Assessment of cost-effective changes to the current and potential provision of smoking cessation services: an analysis based on the EQUIPTMOD

BACKGROUND AND AIMS

Increasing the reach of smoking cessation services and/or including new but effective medications to the current provision may provide significant health and economic benefits; the scale of such benefits is currently unknown. The aim of this study was to estimate the cost-effectiveness from a health-care perspective of viable national level changes in smoking cessation provision in the Netherlands and England.

METHODS

A Markov-based state transition model [European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD)] was used to estimate costs and benefits [expressed in quality-adjusted life years (QALY)] of changing the current provision of smoking cessation programmes in the Netherlands and England. The changes included: (a) increasing the reach of top-level services to increase potential quitters (e.g. brief physician advice); (b) increasing the reach of behavioural support (group-based therapy and SMS text-messaging support) to increase the success rates; (c) including a new but effective medication (cytisine); and (d) all changes implemented together (combined change). The costs and QALYs generated by those changes over 2, 5, 10 years and a life-time were compared with that of the current practice in each country. Results were expressed as incremental net benefit (INB) and incremental cost-effectiveness ratio (ICER). A sequential analysis from a life-time perspective was conducted to identify the optimal change.

RESULTS

The combined change was dominant (cost-saving) over all alternative changes and over the current practice, in both countries. The combined change would generate an incremental net benefit of €11.47 (2 years) to €56.16 (life-time) per smoker in the Netherlands and €9.96 (2 years) to €60.72 (life-time) per smoker in England. The current practice was dominated by all alternative changes.

CONCLUSION

Current provision of smoking cessation services in the Netherlands and England can benefit economically from the inclusion of cytisine and increasing the reach of brief physician advice, text-messaging support and group-based therapy.

Cost-effectiveness of alternative smoking cessation scenarios in Spain: results from the EQUIPTMOD

AIMS

To assess the cost-effectiveness of alternative smoking cessation scenarios from the perspective of the Spanish National Health Service (NHS).

DESIGN

We used the European study on Quantifying Utility of Investment in Protection from Tobacco model (EQUIPTMOD), a Markov-based state transition economic model, to estimate the return on investment (ROI) of: (a) the current provision of smoking cessation services (brief physician advice and printed self-helped material + smoking ban and tobacco duty at current levels); and (b) four alternative scenarios to complement the current provision: coverage of proactive telephone calls; nicotine replacement therapy (mono and combo) [prescription nicotine replacement therapy (Rx NRT)]; varenicline (standard duration); or bupropion. A rate of 3% was used to discount life-time costs and benefits.

SETTING

Spain.

PARTICIPANTS

Adult smoking population (16+ years).

MEASUREMENTS

Health-care costs associated with treatment of smoking attributable diseases (lung cancer, coronary heart disease, chronic obstructive pulmonary infection and stroke); intervention costs; quality-adjusted life years (QALYs). Costs and outcomes were summarized using various ROI estimates.

FINDINGS

The cost of implementing the current provision of smoking cessation services is approximately €61 million in the current year. This translates to 18 quitters per 1000 smokers and a life-time benefit-cost ratio of 5, compared with no such provision. All alternative scenarios were dominant (cost-saving: less expensive to run and generated more QALYs) from the life-time perspective, compared with the current provision. The life-time benefit-cost ratios were: 1.87 (proactive telephone calls); 1.17 (Rx NRT); 2.40 (varenicline-standard duration); and bupropion (2.18). The results remained robust in the sensitivity analysis.

CONCLUSIONS

According to the EQUIPTMOD modelling tool it would be cost-effective for the Spanish authorities to expand the reach of existing GP brief interventions for smoking cessation, provide pro-active telephone support, and reimburse smoking cessation medication to smokers trying to stop. Such policies would more than pay for themselves in the long run.

Is it cost-effective to provide internet-based interventions to complement the current provision of smoking cessation services in the Netherlands? An analysis based on the EQUIPTMOD

BACKGROUND AND AIM

The cost-effectiveness of internet-based smoking cessation interventions is difficult to determine when they are provided as a complement to current smoking cessation services. The aim of this study was to evaluate the cost-effectiveness of such an alternate package compared with existing smoking cessation services alone (current package).

METHODS

A literature search was conducted to identify internet-based smoking cessation interventions in the Netherlands. A meta-analysis was then performed to determine the pooled effectiveness of a (web-based) computer-tailored intervention. The mean cost of implementing internet based interventions was calculated using available information, while intervention reach was sourced from an English study. We used EQUIPTMOD, a Markov-based state-transition model, to calculate the incremental cost-effectiveness ratios [expressed as cost per quality-adjusted life years (QALYs) gained] for different time horizons to assess the value of providing internet-based interventions to complement the current package.). Deterministic sensitivity analyses tested the uncertainty around intervention costs per smoker, relative risks, and the intervention reach.

RESULTS

Internet-based interventions had an estimated pooled relative risk of 1.40; average costs per smoker of €2.71; and a reach of 0.41% of all smokers. The alternate package (i.e. provision of internet-based intervention to the current package) was dominant (cost-saving) compared with the current package alone (0.14 QALY gained per 1000 smokers; reduced health-care costs of €602.91 per 1000 smokers for the life-time horizon). The alternate package remained dominant in all sensitivity analyses.

CONCLUSION

Providing internet-based smoking cessation interventions to complement the current provision of smoking cessation services could be a cost-saving policy option in the Netherlands.