Cost-effectiveness analysis for implementation of smoking cessation strategies at primary health care settings in Tamil Nadu

Abstract

Background

Smoking is a major public health concern in Tamil Nadu, as it is in many parts of the world. It is a leading cause of preventable diseases and deaths, with a significant economic burden on healthcare systems and society as a whole. Recognizing the need to address this issue, the implementation of smoking cessation strategies at primary health care (PHC) settings has gained attention. Conducting a cost-effectiveness analysis in this context can help policymakers and healthcare providers make informed decisions about the allocation of resources for such interventions.

Objectives

To compare the cost-effectiveness of the smoking cessation of proposed strategies (PSs), PS1: enhanced counselling (EC) + nicotine replacement therapy (NRT) + bupropion tablet; PS2: behavioural intervention (BI) + NRT + promotion of bupropion sustained release (SR); PS3: EC + NRT + promotion of bupropion SR with the current strategy (BI +NRT+ Bupropion) in a population of smokers aged ≥15 years attending the PHC in Tamil Nadu.

Methods

In this hypothetical cohort of 100,000 individuals using the decision tree analysis, a cost-effectiveness assessment was conducted for both proposed and existing strategies. The results were evaluated in terms of incremental cost-effectiveness ratios (ICERs) per person quitting smoking. To assess the robustness of the findings, one-way sensitivity analysis and probabilistic sensitivity analysis were performed which aims to explore and address the uncertainties associated with the outcomes.

Results

The cost of the current strategy (CS) was higher (₹359 or $4.28 million) when compared with PS1 (₹327 or $3.90 million) and PS3 (₹327 or $3.90 million) strategies. The PS2 with BI + bupropion SR + NRT was found to be more cost (₹2,720,571 or $ 32,414.76) as compared to current strategy. ICER values indicates that compared to the current strategy, the PS1 and PS3 were found to be cost-saving, whereas the PS2 was found to be cost-effective. The cost-effectiveness acceptability curve demonstrated that the PS1 and PS3 indicates 100% probability of the intervention being cost-saving. After excluding dominated interventions (PS2 and CS), the remaining strategies (PS1 and PS3) were compared. The PS3, with an incremental cost of ₹462,497 ($5,510) for 131 additional quitters, resulted in an ICER of ₹3,531 ($42) per quitter, making it a cost-effective option compared to PS1.

Conclusion

Our study findings indicate that the need for healthcare providers and policymakers to implement PS3 with EC, NRT, Bupropion SR, as which was found to be cost-saving compared to current practices.

1. Introduction

Every year, tobacco usage takes the lives of more than eight million individuals and is currently the single leading preventable cause of deaths globally [1]. According to World Health Organisation (WHO) estimates, tobacco usage resulted in 100 million preventable deaths globally throughout the 20^th century. It was predicted that if the current trend in tobacco use continue, this number would increase to one billion in the 21^st century [2]. With 267 million tobacco smokers living in the country, India is the world’s second biggest tobacco consumer [3]. There are wide variations across various states of India in the overall prevalence of tobacco use as well as different forms of tobacco use such as smoking and chewing [4]. Bidi, Cigarette and Hookah are few forms of smoking tobacco. It was reported that the prevalence of usage of tobacco in whatever form among adults was 29%, tobacco smoking was 11% and tobacco chewing was 21% [5]. The main forms of tobacco consumed in India were 11% by Khaini (Chewing) and 8% Bidis (Smoking). In Tamil Nadu, as per National Family Health Survey (NFHS-5), 20.1% of men aged 15 years and above use any kind of tobacco compared to 4.9% of women in the same age group underscoring a notable gender gap in tobacco use [6]. According to Global Adult Tobacco Survey (GATS-2), 21.1% of men, 0.1% of women and 10.5% of all adults currently smoke tobacco in Tamil Nadu [5].

One of the main risk factors for cancer, heart disease, diabetes, stroke, chronic lung disease, infertility, blindness, TB and oral cavity infections is tobacco smoking. It was reported that 50% of cancers in males and 20% of cancers in females are due to tobacco use. The economic costs related to tobacco use among persons aged 35–69 is ₹1,045,000 million ($124.61 billion) in India [7]. In 2007–08, Indian Government introduced the National Tobacco Control Programme (NTCP) to create awareness, minimise tobacco usage and implementation of ‘The Cigarettes and Other Tobacco Products Act’ (COTPA) was done after recognizing the significance of addressing the tobacco-related problems. The COTPA was enacted in 2003 and forbade the sale of tobacco in any form to minors, smoking in public places and smoking nearer to the educational institutions. It is comprised of the mandatory display of pictorial warnings and testing of tar and nicotine content of all tobacco products [8]. Further the Ministry of Health and Family Welfare (MoHFW), Government of India, with the help of WHO started Tobacco Cessation Clinics (TCCs) to provide cessation strategies including pharmacological treatment for all forms of tobacco users. They also provide toll free telephonic counselling by expert counsellors in all languages and also provide smoking cessation advice through mobile text message. Primary Health Centre (PHC) is the most accessible facility for getting advice and support for tobacco cessation.

ICMR-National Institute for Research in Tuberculosis (NIRT) conducted a cluster randomised controlled trial to compare the effectiveness of smoking cessation strategies among tuberculosis (TB) patients treated at National Tuberculosis Elimination Programme (NTEP) centres in Kancheepuram and Villupuram districts of Tamil Nadu [9]. The study compared three interventions for smoking cessation among TB patients, namely (1) Bupropion Sustained Release (SR) 150mg for 7 weeks daily with standard counselling, (2) Enhanced Counselling (EC), (3) Standard counselling (SC) or behavioural intervention (BI). The EC was a motivational package including a) Brochures on smoking cessation provision b) Flip charts c) Posters d) movie and e) family counselling. This package will provide information on the hazards of smoking, ways to quit smoking, withdrawal symptoms and family benefits on quitting smoking. The BI recommends providing brief advice to quit smoking, including the 5 ‘A’ approach (Ask, Advise, Assess, Assist and Arrange) and the 5 ‘R’ approach (Relevance, Risk, Rewards, Roadblocks and Repetition) [9]. Bupropion is non-nicotine drug and used to treat tobacco dependency. It is an atypical antidepressant with adrenergic and dopaminergic effects. Treatment for major depression disorder with bupropion SR provides a sustained-release approach. Since it strikes a compromise between effectiveness and tolerance, bupropion SR is frequently chosen because it lowers the risk of adverse effects and streamlines the dosage schedule.

In the study, the trained NTEP health care workers delivered the various cessation strategies and assessed smoking status after 2-months from the initiation of anti-TB treatment and at the end of treatment. The percentage of patients who quit smoking at the end of TB treatment in three arms of SC, drug with SC and EC were 52%, 67% and 83% respectively. It was also observed that favourable TB outcome was higher among those who quit smoking. The study findings emphasized the needs of including EC for tobacco cessation in lieu of ‘standard of care’ for effective management of tobacco cessation under NTEP. Based on these results, the Government is planning to implement this strategy not only for TB patients under NTEP but also to all smokers under NTCP. The EC can also be extended to NTCP in addition to NTEP as an effective smoking cession intervention. In line with this, we have undertaken this health technology assessment (HTA) study along with the Government of Tamil Nadu to evaluate the cost-effectiveness of comprehensive approach of smoking cessation that combines both BIs and pharmacological support implementation at PHCs in Tamil Nadu.

2. Methods

We modelled the cost-effectiveness of smoking cessation strategies by a decision tree method from a health system perspective. The current study assessed the cost-effectiveness of three proposed strategies (PSs) and the current strategy (CS) for smoking cessation and in a population of smokers aged ≥15 years attending the PHCs in Tamil Nadu.

2.1 Settings

India is one among the 29 nations worldwide that have entirely outlawed tobacco sponsorship, advertising and promotion. In order to offer tobacco cessation interventions, the MoHFW, Government of India, established TCCs across the country with assistance from the WHO and currently there are 427 TCCs under NTCP. In addition, there are 179 non-NTCP tobacco cessation facilities working in the country. These facilities were set up in different settings such as medical colleges, Non-Governmental Organisations, community settings, cancer treatment hospitals and psychiatric hospitals to help the users to quit tobacco use. Over 600 districts nationwide are currently covered by the NTCP, which is being executed [10]. NTCP is executed through a three level system which are National Tobacco Control Cell (NTCC), State Tobacco Control Cell (STCC) and District Tobacco Control Cell (DTCC).

2.2 Study design

This study focused on the implementation of smoking cessation strategies at PHC settings in Tamil Nadu among the population of smokers of age more than or equal to 15 years. Previously, ICMR-NIRT conducted a cluster randomised trial on smoking cessation for TB patients. The trial result showed that EC and pharmacological therapy are effective strategies for smoking cessation. Based on the findings, this current study is assessing cost-effectiveness of three combinations of smoking cessation strategies compared to the CS using a decision-analytic method. In this cost-effectiveness analysis, the population of smokers are divided based on severity of the nicotine addiction using the Fagerström index (FI) score [11, 12] and the treatment is given according to their FI score. We also aimed to calculate the additional costs related with the proposed strategies as the interventions from the health system perspective.

2.3 Study population

The study is conducted taking into consideration of general population of smokers aged ≥15 years who visits PHC. The population is divided according to their FI score as 0–2 (low dependence), 3–5 (low to moderate dependence), 6–7 (moderate dependence) and ≥8 (high dependence) [11]. Study population represents a hypothetical cohort of 100,000 smokers aged ≥15 years.

2.4 Study perspective

A health system perspective was used for this cost-effectiveness evaluation which considered only the costs incurred by the health system such as the cost for doctor, social/health care worker, drug costs for nicotine replacement therapy (NRT) 2mg, NRT 4mg, Bupropion, Bupropion SR, costs for Information Education and Communication (IEC) materials preparation, Digital Versatile Disc (DVD) and flip chart.

2.5 Intervention and comparator

The interventions or PSs considered are the three combinations of BI, EC and the drugs such as bupropion SR, NRT 2mg, NRT 4mg. The PS1 involves EC + NRT + Bupropion tablet. The PS2 strategy involves BI + NRT + Promotion of Bupropion SR. The PS3 involves EC + NRT + Promotion of Bupropion SR (Table 1). The CS used for smoking cessation is considered as the comparator. The CS involves BI + NRT+ Bupropion. The dosage of NRT increases as the FI score increases.

[Figure omitted. See PDF.]

2.6 Model description

The deterministic decision tree model for cost-effectiveness analysis was performed in Microsoft Excel. The decision tree is given in Fig 1. Three PSs were investigated for the analysis, PS1: EC + NRT+ Bupropion; PS2: BI + NRT+ Bupropion SR and PS3: EC + NRT + Bupropion SR. The input data for the model were obtained from various sources such as published articles from the secondary sources. The model had been calibrated reflecting the population characteristics and examined in a hypothetical cohort of 100,000.

[Figure omitted. See PDF.]

BI = Behavioral Intervention; EC = Enhanced counselling; SR = Sustained Release; NRT = Nicotine Replacement Therapy; FI = Fagerstorm Index (FI); Q = Quit; NQ = Not Quit.

2.7 Decision tree

The decision tree for assessing smoking cessation probability categorizes individuals into four branches based on their FI scores: 0–2, 3–5, 6–7, and ≥8, representing low, low to moderate, moderate and high dependence, respectively. Within this framework, in the CS receives BI +NRT+ Bupropion as part of the existing strategy. The proposed intervention arm introduces three strategies, each involving modifications to the CS by additionally incorporating EC and bupropion SR. PS1integrates EC alongside bupropion, expanding the decision tree into four branches for individuals falling within the ranges of FI scores 0–2, 3–5, 6–7, and ≥8. PS2 implements BI combined with bupropion SR, similarly extending the decision tree across these four FI-based branches. PS3 is same as PS1 but pairs EC with bupropion SR, thus reforming the intervention pathways within the decision tree across different FI score categories. These PSs aim to diversify and enhance smoking cessation interventions accommodating various FI scores.

2.8 Model input parameters

The input parameters were cohort population, mean age of smokers, prevalence of smokers according to FI score and probability of quitting smoking by respective treatment strategies. The input parameters are given in the Table 2. The cost acquired by health system in regard to the implementation of the smoking cessation were included in the model. The data were collected from the published literature.

[Figure omitted. See PDF.]

2.9 Effectiveness data

The proportion of smokers in the FI score classifications were taken from a study on nicotine dependence among smokers in Tamil Nadu [11]. The prevalence of smokers was taken from the GATS survey 2017 [3]. The proportion of smokers receiving BI and NRT/Bupropion was collected from the Tamil Nadu Tobacco survey conducted during 2016–2017. Quit rate of smoking by different interventions such as BI, NRT and EC were taken from the cluster randomized trial conducted in Tamil Nadu [9].

2.10 Cost data

The cost data encompassed comprehensive components required for BI, EC such as IEC materials, drugs and various other associated costs. These were collected from a cluster randomized trial conducted by ICMR-NIRT on smoking cessation in TB [9]. These expenses covered various aspects of implementing smoking cessation strategies, including staff cost for counselling [13], IEC material expenses, DVD and flip chart cost. The drug cost for NRT 2mg, NRT 4mg and bupropion were taken from various published literatures [14]. All costs in Indian Rupees (₹) are converted into US Dollars ($) using the exchange rate of 1$ = 83.93₹.

2.11 Model outcome parameters

The model’s outcomes were presented in terms of the total number of patients who successfully stopped smoking and the total expenses incurred by each patient in the intervention and comparator arms. Additionally, the ICER (Incremental Cost-Effectiveness Ratio) values were estimated by evaluating the incremental cost and incremental quit rate.

2.12 Incremental cost-effectiveness ratio (ICER)

The ICER is used to compare the cost-effectiveness of healthcare interventions. It is calculated by dividing the difference in costs between two interventions by the difference in their effectiveness. Dominated interventions were excluded from the analysis and ICERs were recalculated incrementally for the remaining non-dominated interventions. This ensured that both simple and extended dominance were addressed, resulting in a clearer cost-effectiveness comparison. When ICERs fall below the defined threshold, then interventions are considered to be cost-effective. ICER helps to determine whether the additional benefits of a new intervention justify its additional costs, guiding healthcare resource allocation and ensuring value for money in healthcare decisions.

2.13 Willingness to pay

The Willingness to Pay (WTP) criterion for the year 2023 was the one-time GDP per capita of ₹216,590 ($2,580). ICERs were used to compare the cost-effectiveness of the proposed interventions [15].

2.14 Sensitivity analysis

One Way Sensitivity Analysis (OWSA) was performed to check robustness of the model by changing the values of input parameters 20% below and above from the normal value. The effect of outcome variable on ICER and the uncertainty in the variables were illustrated in the Tornado diagram. The model validation was done using Probabilistic Sensitivity Analysis (PSA) by 1000 iterations of Monte Carlo simulations with 95% confidential intervals. The resulted values of ICER were plotted using a scatter plot. To indicate the model’s probabilistic response to different cost-effectiveness thresholds, the graph of Cost Effectiveness Acceptability Curve (CEAC) was plotted.

2.15 Study oversight

The study used only secondary data from the published literature. All data used and generated in this study are available in the manuscript. The study was approved by Institutional Ethics Committee (ICMR-NIRT IEC No. 2022 028). We adhered good reporting practices from the standard guidelines for conducting and reporting an economic evaluation survey (CHEERS) statement for this study.

3. Results

3.1 Base case analysis

The base case analysis for hypothetical 100,000 cohort resulted the total costs acquired using different strategies (1) EC + NRT + Bupropion (PS1), (2) BI + NRT + Bupropion SR (PS2) and (3) EC + NRT + Bupropion SR (PS3) when compared with the current strategy (CS: BI + NRT + Bupropion SR) are ₹327 ($3.90), ₹362 ($4.31), ₹327 ($3.90) and ₹359 ($4.28) million respectively. It was observed that the cost of the CS was higher (₹359 or $4.28 million) when compared with PS1 (₹327 or $3.90 million) and PS3 (₹327 or $3.90 million) strategies (Table 3). Whereas the CS was lesser than the PS2 (₹362 or $4.31 million). Among the proposed strategies, the PS2 with BI + NRT + Bupropion SR was found to be costly (₹2,720,571 or $32,414.76) as compared to CS.

[Figure omitted. See PDF.]

3.2 Incremental cost effectiveness ratio (ICER)

The value of ICER was estimated using the incremental cost and incremental quit rates. The ICER values for the strategies PS1, PS2 and PS3 when compared with the current strategy (CS:BI + NRT + Bupropion SR) are ₹-4031 ($-48.03), ₹3551 ($42.31) and ₹-3911 ($-46.60) respectively (Table 3). These ICER values indicate that PS1 was cost saving of ₹4031 ($48.03) and PS3 was also cost saving of ₹3911 ($46.60) per person to quit smoking compared to CS. The strategies PS1 and PS3 were found to be cost-saving, whereas the strategy PS2 was found to be cost effective. For PS2, the additional cost to help one person to quit smoking is ₹3,551 ($42.31). After removing the dominated interventions (PS2 and CS), the remaining dominant strategies (PS1 and PS3) were compared. PS3 demonstrated a modest incremental cost of ₹ 462,497 ($5,510) for an additional 131 quitters, resulting in an ICER of ₹3,531 ($42) per quitter. This suggests that PS3 is a cost-effective option when compared to PS1, offering additional benefits at a reasonable cost.

3.3 One way sensitivity analysis (OWSA)

The OWSA for the PS1 when compared with the CS revealed that drug cost of NRT 4mg and quit rate by BI had higher influence on the ICER values (Fig 2). When drug cost increases, we need to spend more money to make a person quit from smoking. If the quit rate increases, the ICER value reduces, indicating that we need to spend less amount to get a person quit from smoking. The OWSA for the PS2 when compared with the CS showed that quit rate by Bupropion SR, quit rate by Bupropion, drug cost of Bupropion SR and drug cost of Bupropion are the most influencing factors of the ICER (Fig 3). For the PS3, drug cost of NRT 4 mg, quit rate by EC, quit rate by BI and IEC material preparation cost were found to be the most influencing factors of the ICER when compared with the CS (Fig 4).

[Figure omitted. See PDF.]

BI = Behavioral Intervention; EC = Enhanced counselling; NRT = Nicotine Replacement Therapy; FI = Fagerstorm Index (FI); IEC = Information Education and Communication; ICER = Incremental Cost Effective Ratio.

[Figure omitted. See PDF.]

SR = Sustained Release; ICER = Incremental Cost Effective Ratio.

[Figure omitted. See PDF.]

BI = Behavioral Intervention; EC = Enhanced counselling; NRT = Nicotine Replacement Therapy; FI = Fagerstorm Index (FI); IEC = Information Education and Communication; ICER = Incremental Cost Effective Ratio.

3.4 Probability sensitivity analysis (PSA)

Fig 5 shows that strategy PS1 was found to be less-costly and more-effective in 100% of the iterations using PSA and considering the joint incremental cost and effectiveness measured in quit rate. The PSA results of strategy PS2 indicated that it is more-costly and more-effective in 95% of the iterations (Fig 6). The PSA results of strategy PS3 showed that it is more-effective and less-costly in 100% of the iterations (Fig 7).

[Figure omitted. See PDF.]

PSA = probability Sensitivity Analysis.

[Figure omitted. See PDF.]

PSA = probability Sensitivity Analysis.

[Figure omitted. See PDF.]

PSA = probability Sensitivity Analysis.

3.5 Cost-effectiveness acceptability curve (CEAC)

The cost-effectiveness acceptability curve demonstrated that PS1 and PS3 indicates 100% probability of the intervention being cost-saving (Fig 8). PS2 indicates that 95% probability of the intervention being cost-effective since none of the ICER values were higher than WTP threshold.

[Figure omitted. See PDF.]

BI = Behavioral Intervention; EC = Enhanced counselling; NRT = Nicotine Replacement Therapy.

4. Discussion

The current study demonstrates that cost-effectiveness of three different smoking cessation intervention strategies as compared to the current practice under the NTCP in Tamil Nadu. The salient finding of this study indicates that the strategy with EC + NRT + Bupropion SR was found to be cost effective as compared to the current practice. Our results support the implementation of smoking cessation with EC, which could yield substantial cost-saving to the health system in Tamil Nadu. It was also evident with the clinical effectiveness report that those who received combined pharmacotherapy and counselling did significantly better than those receiving only counselling [16].

It is often known that quitting smoking is one of the best strategies to save lives and improving overall wellbeing. Quit smoking remains difficult due to the addictiveness of nicotine in tobacco and other social and contextual factors [17, 18]. The behavioural counselling along with pharmacotherapy is generally considered as an effective approach for treating tobacco dependence. Similar finding was reported from a model based economic evaluation on tailored smoking cessation by pharmacological therapy including NRT, bupropion and behavioural interventions that are cost-effective in the normal population [19]. Another study assessed the cost-effectiveness of NRT intervention in primary care setting and found the intervention to be cost-saving ($1065 in savings per person) accounting the decreased health expenses in a lifetime for quit smokers. It was recommended that NRT intervention in primary care setting should be considered in addition to the existing policy to minimise the disease and death related to smoking [20]. Guidelines recommend combining drug therapy and behavioural counselling which help smokers to quit [21, 22]. The current study also supports and re-emphasizes the need for drug therapy and behavioural support to help people quit smoking.

A study on the enhanced smoking cessation for people with severe psychiatric illness showed increased quit rates compared with usual care [23]. A pragmatic randomized controlled trial on enhanced smoking cessation interventions suggested that there is a need to address the unmet need for enhanced smoking cessation in tobacco smoking population. In the study, quit smoking at six months demonstrates that individuals with severe mental illness can successfully stop smoking; nevertheless, the weakening of this effect indicates that continued quitting will require additional work.

It was found from a network meta-analysis study that among COPD patients, amalgamation of behavioural intervention and pharmacotherapy was superior as compared to the effect of varenicline, bupropion and NRT for smoking cessation [24]. Cognitive behavioural therapy combined with bupropion treatment may be the most effective way to help them stop smoking for COPD patients. It was also recommended that in addition to cessation services, close follow-up is crucial [25]. Improving the quality of life for tobacco users involves offering effective smoking cessation interventions.

Smoking cessation is effective in reducing both short and long-term effects of smoking related to morbidity and mortality. As smoking continues to be a major threat for developing heart diseases, cancer and lung disease, it is the need of the hour to implement the most cost-effective smoking cessation strategy in order to reduce the burden of smoking in India [26]. A study from Mumbai had estimated the mortality attributed to tobacco related illness among men and women in the age group of 35–69 years was 24% and 6% respectively [27].

The cost-effectiveness of medication and intensive counselling is often evaluated based on the cost per quality-adjusted life year (QALY) gained for helping the general population quit smoking. Research studies on Nortriptyline, Bupropion and NRT has demonstrated that their cost-effectiveness ratios are consistently less than €10,000 in every (quality-adjusted) life year [28–31]. Studies from other parts of the world conducted on the cost-effectiveness of different strategies for smoking cessation showed that the implementation of an intensive smoking cessation was moderately to highly cost-effective, suggesting that more spending on interventions yields more net benefit [32–35]. Our study findings also highlight that the smoking cessation strategies are less costly and more effective. The most cost-effective strategy is the one which includes EC, NRT and bupropion SR.

The limitations of the current study were that the relapse rate of smokers, non-adherence to treatment and adverse drug reactions were not included as they were not available specific to treatments for smoking cessation. Also, the different factors associated to smoking cessation such as close monitoring, type of communicators, influence of co-morbidities had not been taken into account in this cost and effectiveness data. This might had underestimated the results.

5. Conclusion

Compared to the current practices, the implementation of EC, NRT, Bupropion SR and the strategy with EC, NRT, Bupropion were found to be cost-saving. After removing the dominated interventions, the strategy with EC, NRT, Bupropion SR was found to be cost-effective compared to current practices. EC with pharmacotherapy resulted in low costs per quit from smoking. These results re-emphasize the importance of implementing the EC intervention with combining medication and behavioural support to help people stop smoking as it is not only clinically effective but also cost-saving from an economic perspective. Our study findings indicate that the strategy that includes EC and Bupropion SR is the economically dominant strategy to be implemented in the tobacco control programme. Policymakers should consider adopting this strategy to enhance programme effectiveness and cost-efficiency.

References

1. 1. Cattaruzza MS, Zagà V. The WHO Framework Convention (FCTC) that changed tobacco control. Tabaccologia. 2024;21(3):3–6. http://dx.doi.org/10.53127/tblg-2023-a020.

* View Article

* Google Scholar

2. 2. Mishra GA, Pimple SA, Shastri SS. An overview of the tobacco problem in India. Indian J Med Paediatr Oncol. 2012;33(3):139–45. pmid:23248419

* View Article

* PubMed/NCBI

* Google Scholar

3. 3. GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1345–422. pmid:28919119

* View Article

* PubMed/NCBI

* Google Scholar

4. 4. Global Adult Tobacco Survey GATS 2 India 2016–17. Tata Institute of Social Sciences (TISS). 2018.

5. 5. Ministry of Health & Family Welfare, GOI WHO and T. GATS-2 global adult tobacco survey fact sheet India. 2016.

6. 6. Ministry of Health and Family Welfare. National Family Health Survey (NFHS-5), 2019–21. https://mohfw.gov.in.

7. 7. John RM, Rout SK, Kumar RB, Arora M. Global Adult Tobacco Survey (GATS) India 2009–2010. Ministry of Health & Family Welfare, Government of India. New Delhi, India; 2014.

8. 8. Arora MM, Yadav A. Pictorial health warnings on tobacco products in India: socio-political and legal developments. Nat Med J India. 2010;23:222–4.

* View Article

* Google Scholar

9. 9. Ramesh Kumar S, Dolla C, Vasantha M, Menon PA, Venkatesan G, Venkatesan P. Strategies for smoking cessation (pharmacologic intervention versus enhanced motivation vs. standard motivation) in TB patients under treatment in the RNTCP, India—A cluster—Randomized trial. Indian J Tuberc. 2020;67(1):8–14. http://dx.doi.org/10.1016/j.ijtb.2020.01.006.

* View Article

* Google Scholar

10. 10. Department of Health & Family Welfare, Ministry of Health & Family Welfare, Government of India, New Delhi, 2024 National Health Mission. National Tobacco Control Programme (NTCP) 2024. https://nhm.gov.in/index1.php?lang=1&level=2&sublinkid=1052&lid=607 Accessed on 06-06-2024.

11. 11. Mohan KR, Narayanan M, Thangavel RP, Fenn SM, Rani JMJ. Evaluation of nicotine dependence among smokers in Salem district using modified Fagerström questionnaire (m-FTQ). World J Dent. 2019;10(3):227–34. http://dx.doi.org/10.5005/jp-journals-10015-1627.

* View Article

* Google Scholar

12. 12. Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K-O. The Fagerstrom test for nicotine dependence: A revision of the Fagerstrom tolerance questionnaire. Addiction [Internet]. 1991;86(9):1119–27. http://dx.doi.org/10.1111/j.1360-0443.1991.tb01879.x.

* View Article

* Google Scholar

13. 13. Bhatt G, Goel S, Kiran T, Grover S, Medhi B, Singh G, et al. Estimating the cost of delivering tobacco cessation intervention package at noncommunicable disease clinics in two districts of north India. Nicotine Tob Res [Internet]. 2023;25(11):1727–35. Available from: pmid:37402314

* View Article

* PubMed/NCBI

* Google Scholar

14. 14. Medindia. Drug & Medication Centre. Medindia, 2023 https://www.medindia.net/drugs/index.htm.

15. 15. India—gross domestic product (GDP) per capita 1987–2029. Statista. [cited 2024 Jun 6]. https://www.statista.com/statistics/263776/gross-domestic-product-gdp-per-capita-in-india.

16. 16. National Resource Centre for Oral Health and Tobacco Cessation and Maulana Azad Institute of Dental Sciences. Tobacco cessation in dental settings: reference manual for dental professionals. National Resource Centre for Oral Health and Tobacco Cessation and Maulana Azad Institute of Dental Sciences. New Delhi; 2022.

17. 17. Benowitz NL. Nicotine addiction. N Engl J Med. 2010;362(24):2295–303. pmid:20554984

* View Article

* PubMed/NCBI

* Google Scholar

18. 18. Vangeli E, Stapleton J, Smit ES, Borland R, West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review: Predictors of quit attempts and success. Addiction. 2011;106(12):2110–21. http://dx.doi.org/10.1111/j.1360-0443.2011.03565.x.

* View Article

* Google Scholar

19. 19. Tobacco: preventing uptake, promoting quitting and treating dependence. National Institute for Health and Care Excellence. London, United Kingdom; 2021.

20. 20. Chen B, Silvestri GA, Dahne J, Lee K, Carpenter MJ. The cost-effectiveness of nicotine replacement therapy sampling in primary care: A Markov cohort simulation model. J Gen Intern Med. 2022;37(14):3684–91. pmid:35091913

* View Article

* PubMed/NCBI

* Google Scholar

21. 21. Stead LF, Lancaster T. Combined pharmacotherapy and behavioural interventions for smoking cessation. Cochrane Database Syst Rev. 2012;10:CD008286. pmid:23076944

* View Article

* PubMed/NCBI

* Google Scholar

22. 22. Tobacco dependence treatment guidelines. New Delhi: Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India. 2011.

23. 23. Gilbody S, Peckham E, Bailey D, Arundel C, Heron P, Crosland S, et al. Smoking cessation for people with severe mental illness (SCIMITAR+): a pragmatic randomised controlled trial.Lancet Psychiatry. 2019;6(5):379–90. pmid:30975539

* View Article

* PubMed/NCBI

* Google Scholar

24. 24. Guo K, Wang S, Shang X, E F, Hou L, Li J, et al. The effect of Varenicline and Bupropion on smoking cessation: A network meta-analysis of 20 randomized controlled trials. Addict Behav. 2022;131(107329):107329. pmid:35397262

* View Article

* PubMed/NCBI

* Google Scholar

25. 25. Xing X, Shang X, Deng X, Guo K, Fenfen E, Zhou L, et al. Efficacy and safety of pharmacological intervention for smoking cessation in smokers with diseases: A systematic review and network meta-analysis. J Evid Based Med. 2023;16(4):520–33. pmid:38102895

* View Article

* PubMed/NCBI

* Google Scholar

26. 26. Ramadas K, Sauvaget C, Thomas G, Fayette J-M, Thara S, Sankaranarayanan R. Effect of tobacco chewing, tobacco smoking and alcohol on all-cause and cancer mortality: a cohort study from Trivandrum, India. Cancer Epidemiol. 2010;34(4):405–12. pmid:20444665

* View Article

* PubMed/NCBI

* Google Scholar

27. 27. Gupta PC, Mehta HC. Cohort study of all-cause mortality among tobacco users in Mumbai, India. Bull World Health Organ. 2000;78(7):877–83. pmid:10994260

* View Article

* PubMed/NCBI

* Google Scholar

28. 28. Feenstra TL, Hamberg-van Reenen HH, Hoogenveen RT, Rutten-van Mölken MPMH. Cost-effectiveness of face-to-face smoking cessation interventions: a dynamic modeling study. Value Health. 2005;8(3):178–90. http://dx.doi.org/10.1111/j.1524-4733.2005.04008.x.

* View Article

* Google Scholar

29. 29. Bolin K, Lindgren B, Willers S. The cost utility of bupropion in smoking cessation health programs: simulation model results for Sweden. Chest. 2006;129(3):651–60. pmid:16537864

* View Article

* PubMed/NCBI

* Google Scholar

30. 30. Hall SM, Lightwood JM, Humfleet GL, Bostrom A, Reus VI, Muñoz R. Cost-effectiveness of bupropion, nortriptyline, and psychological intervention in smoking cessation. J Behav Health Serv Res. 2005;32(4):381–92. pmid:16215448

* View Article

* PubMed/NCBI

* Google Scholar

31. 31. Stapleton JA, Lowin A, Russell MA. Prescription of transdermal nicotine patches for smoking cessation in general practice: evaluation of cost-effectiveness. Lancet. 1999;354(9174):210–5. pmid:10421303

* View Article

* PubMed/NCBI

* Google Scholar

32. 32. Levy DE, Regan S, Perez GK, Muzikansky A, Friedman ER, Rabin J, et al. Cost-effectiveness of implementing smoking cessation interventions for patients with cancer. JAMA Netw Open. 2022;5(6):e2216362. pmid:35679043

* View Article

* PubMed/NCBI

* Google Scholar

33. 33. Cromwell J, Bartosch WJ, Fiore MC, Hasselblad V, Baker T. Cost-effectiveness of the clinical practice recommendations in the AHCPR guideline for smoking cessation. Agency for Health Care Policy and Research. JAMA. 1997;278(21):1759–66. http://dx.doi.org/10.1001/jama.278.21.1759. pmid:9388153

* View Article

* PubMed/NCBI

* Google Scholar

34. 34. Annemans L, Nackaerts K, Bartsch P, Prignot J, Marbaix S. Cost effectiveness of varenicline in Belgium, compared with bupropion, nicotine replacement therapy, brief counseling and unaided smoking cessation: a BENESCO Markov cost-effectiveness analysis. Clin Drug Investig. 2009;29(10):655–65.

* View Article

* Google Scholar

35. 35. Hoogendoorn M, Welsing P, Rutten-van Mölken MPMH. Cost-effectiveness of varenicline compared with bupropion, NRT, and nortriptyline for smoking cessation in the Netherlands. Curr Med Res Opin. 2008;24(1):51–61. http://dx.doi.org/10.1185/030079908x242917.

* View Article

* Google Scholar

Citation: Mahalingam V, Santhanakrishnan RK, Malaisamy M, Chelvanayagam K, Mathiyazhagan K, Bhaskar A, et al. (2025) Cost-effectiveness analysis for implementation of smoking cessation strategies at primary health care settings in Tamil Nadu. PLoS ONE 20(1): e0318013. https://doi.org/10.1371/journal.pone.0318013

About the Authors:

Vasantha Mahalingam

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

ORICD: https://orcid.org/0000-0003-0390-346X

Ramesh Kumar Santhanakrishnan

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Writing – original draft

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Muniyandi Malaisamy

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

E-mail: [email protected]

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Karthick Chelvanayagam

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Writing – original draft

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Kavi Mathiyazhagan

Roles: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Adhin Bhaskar

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Karikalan Nagarajan

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

Jerard Maria Selvam

Roles: Conceptualization, Data curation, Investigation, Methodology, Resources, Validation, Writing – review & editing

Affiliation: National Health Mission, Ministry of Health and Family Welfare, Government of Tamil Nadu, Chennai, India

Surendran Veeraiah

Roles: Conceptualization, Data curation, Investigation, Methodology, Validation, Writing – review & editing

Affiliation: Department of Psycho-Oncology & RCTC, Cancer Institute (WIA), Chennai, India

Kavitha Rajsekar

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

Affiliation: Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India

Kirti Tyagi

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

Affiliation: Department of Health Research, Ministry of Health and Family Welfare, New Delhi, India

Ponnuraja Chinnaiyan

Roles: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

Affiliation: ICMR-National Institute for Research in Tuberculosis, Chennai, India

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

[/RAW_REF_TEXT]

References

1. Cattaruzza MS, Zagà V. The WHO Framework Convention (FCTC) that changed tobacco control. Tabaccologia. 2024;21(3):3–6. http://dx.doi.org/10.53127/tblg-2023-a020.

2. Mishra GA, Pimple SA, Shastri SS. An overview of the tobacco problem in India. Indian J Med Paediatr Oncol. 2012;33(3):139–45. pmid:23248419

3. GBD 2016 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390(10100):1345–422. pmid:28919119

4. Global Adult Tobacco Survey GATS 2 India 2016–17. Tata Institute of Social Sciences (TISS). 2018.

5. Ministry of Health & Family Welfare, GOI WHO and T. GATS-2 global adult tobacco survey fact sheet India. 2016.

6. Ministry of Health and Family Welfare. National Family Health Survey (NFHS-5), 2019–21. https://mohfw.gov.in.

7. John RM, Rout SK, Kumar RB, Arora M. Global Adult Tobacco Survey (GATS) India 2009–2010. Ministry of Health & Family Welfare, Government of India. New Delhi, India; 2014.

8. Arora MM, Yadav A. Pictorial health warnings on tobacco products in India: socio-political and legal developments. Nat Med J India. 2010;23:222–4.

9. Ramesh Kumar S, Dolla C, Vasantha M, Menon PA, Venkatesan G, Venkatesan P. Strategies for smoking cessation (pharmacologic intervention versus enhanced motivation vs. standard motivation) in TB patients under treatment in the RNTCP, India—A cluster—Randomized trial. Indian J Tuberc. 2020;67(1):8–14. http://dx.doi.org/10.1016/j.ijtb.2020.01.006.

10. Department of Health & Family Welfare, Ministry of Health & Family Welfare, Government of India, New Delhi, 2024 National Health Mission. National Tobacco Control Programme (NTCP) 2024. https://nhm.gov.in/index1.php?lang=1&level=2&sublinkid=1052&lid=607 Accessed on 06-06-2024.

11. Mohan KR, Narayanan M, Thangavel RP, Fenn SM, Rani JMJ. Evaluation of nicotine dependence among smokers in Salem district using modified Fagerström questionnaire (m-FTQ). World J Dent. 2019;10(3):227–34. http://dx.doi.org/10.5005/jp-journals-10015-1627.

12. Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K-O. The Fagerstrom test for nicotine dependence: A revision of the Fagerstrom tolerance questionnaire. Addiction [Internet]. 1991;86(9):1119–27. http://dx.doi.org/10.1111/j.1360-0443.1991.tb01879.x.

13. Bhatt G, Goel S, Kiran T, Grover S, Medhi B, Singh G, et al. Estimating the cost of delivering tobacco cessation intervention package at noncommunicable disease clinics in two districts of north India. Nicotine Tob Res [Internet]. 2023;25(11):1727–35. Available from: pmid:37402314

14. Medindia. Drug & Medication Centre. Medindia, 2023 https://www.medindia.net/drugs/index.htm.

15. India—gross domestic product (GDP) per capita 1987–2029. Statista. [cited 2024 Jun 6]. https://www.statista.com/statistics/263776/gross-domestic-product-gdp-per-capita-in-india.

16. National Resource Centre for Oral Health and Tobacco Cessation and Maulana Azad Institute of Dental Sciences. Tobacco cessation in dental settings: reference manual for dental professionals. National Resource Centre for Oral Health and Tobacco Cessation and Maulana Azad Institute of Dental Sciences. New Delhi; 2022.

17. Benowitz NL. Nicotine addiction. N Engl J Med. 2010;362(24):2295–303. pmid:20554984

18. Vangeli E, Stapleton J, Smit ES, Borland R, West R. Predictors of attempts to stop smoking and their success in adult general population samples: a systematic review: Predictors of quit attempts and success. Addiction. 2011;106(12):2110–21. http://dx.doi.org/10.1111/j.1360-0443.2011.03565.x.

19. Tobacco: preventing uptake, promoting quitting and treating dependence. National Institute for Health and Care Excellence. London, United Kingdom; 2021.

20. Chen B, Silvestri GA, Dahne J, Lee K, Carpenter MJ. The cost-effectiveness of nicotine replacement therapy sampling in primary care: A Markov cohort simulation model. J Gen Intern Med. 2022;37(14):3684–91. pmid:35091913

21. Stead LF, Lancaster T. Combined pharmacotherapy and behavioural interventions for smoking cessation. Cochrane Database Syst Rev. 2012;10:CD008286. pmid:23076944

22. Tobacco dependence treatment guidelines. New Delhi: Directorate General of Health Services, Ministry of Health and Family Welfare, Government of India. 2011.

23. Gilbody S, Peckham E, Bailey D, Arundel C, Heron P, Crosland S, et al. Smoking cessation for people with severe mental illness (SCIMITAR+): a pragmatic randomised controlled trial.Lancet Psychiatry. 2019;6(5):379–90. pmid:30975539

24. Guo K, Wang S, Shang X, E F, Hou L, Li J, et al. The effect of Varenicline and Bupropion on smoking cessation: A network meta-analysis of 20 randomized controlled trials. Addict Behav. 2022;131(107329):107329. pmid:35397262

25. Xing X, Shang X, Deng X, Guo K, Fenfen E, Zhou L, et al. Efficacy and safety of pharmacological intervention for smoking cessation in smokers with diseases: A systematic review and network meta-analysis. J Evid Based Med. 2023;16(4):520–33. pmid:38102895

26. Ramadas K, Sauvaget C, Thomas G, Fayette J-M, Thara S, Sankaranarayanan R. Effect of tobacco chewing, tobacco smoking and alcohol on all-cause and cancer mortality: a cohort study from Trivandrum, India. Cancer Epidemiol. 2010;34(4):405–12. pmid:20444665

27. Gupta PC, Mehta HC. Cohort study of all-cause mortality among tobacco users in Mumbai, India. Bull World Health Organ. 2000;78(7):877–83. pmid:10994260

28. Feenstra TL, Hamberg-van Reenen HH, Hoogenveen RT, Rutten-van Mölken MPMH. Cost-effectiveness of face-to-face smoking cessation interventions: a dynamic modeling study. Value Health. 2005;8(3):178–90. http://dx.doi.org/10.1111/j.1524-4733.2005.04008.x.

29. Bolin K, Lindgren B, Willers S. The cost utility of bupropion in smoking cessation health programs: simulation model results for Sweden. Chest. 2006;129(3):651–60. pmid:16537864

30. Hall SM, Lightwood JM, Humfleet GL, Bostrom A, Reus VI, Muñoz R. Cost-effectiveness of bupropion, nortriptyline, and psychological intervention in smoking cessation. J Behav Health Serv Res. 2005;32(4):381–92. pmid:16215448

31. Stapleton JA, Lowin A, Russell MA. Prescription of transdermal nicotine patches for smoking cessation in general practice: evaluation of cost-effectiveness. Lancet. 1999;354(9174):210–5. pmid:10421303

32. Levy DE, Regan S, Perez GK, Muzikansky A, Friedman ER, Rabin J, et al. Cost-effectiveness of implementing smoking cessation interventions for patients with cancer. JAMA Netw Open. 2022;5(6):e2216362. pmid:35679043

33. Cromwell J, Bartosch WJ, Fiore MC, Hasselblad V, Baker T. Cost-effectiveness of the clinical practice recommendations in the AHCPR guideline for smoking cessation. Agency for Health Care Policy and Research. JAMA. 1997;278(21):1759–66. http://dx.doi.org/10.1001/jama.278.21.1759. pmid:9388153

34. Annemans L, Nackaerts K, Bartsch P, Prignot J, Marbaix S. Cost effectiveness of varenicline in Belgium, compared with bupropion, nicotine replacement therapy, brief counseling and unaided smoking cessation: a BENESCO Markov cost-effectiveness analysis. Clin Drug Investig. 2009;29(10):655–65.

35. Hoogendoorn M, Welsing P, Rutten-van Mölken MPMH. Cost-effectiveness of varenicline compared with bupropion, NRT, and nortriptyline for smoking cessation in the Netherlands. Curr Med Res Opin. 2008;24(1):51–61. http://dx.doi.org/10.1185/030079908x242917.