Medical costs and quality-adjusted life years associated with smoking: a systematic review

Assessing quality-adjusted years of life lost associated with exclusive cigarette smoking and smokeless tobacco use

The main purpose of this analysis is to quantify quality adjusted life years (QALYs) lost associated with lifetime exclusive cigarette or smokeless tobacco use among U.S. adults. Multiple waves of National Health Interview Survey (NHIS) data linked to death certificate records were used to define current exclusive cigarette and smokeless tobacco use and associated mortality risks. NHIS data were used to assess health-related quality of life (HRQOL). Regression and Cox proportional hazard modeling were used to adjust HRQOL and mortality risk associated with tobacco use for age, sex, race/ethnicity, body mass index, education, and household poverty level. QALYs were estimated based on adjusted HRQOL and mortality risks. All analyses were initiated in 2019 and completed in 2020. Male current exclusive cigarette smokers, aged 25 to 29 years would lose 8.1 QALYs (SE = 0.09), and male current exclusive smokeless tobacco users aged 25 to 34 would lose 4.1 QALYs (SE = 0.22), compared to never users of tobacco. Current exclusive cigarette or smokeless tobacco use is associated with QALY loss. QALYs lost can be lessened through preventing the initiation of tobacco product use or helping tobacco product users quit as early in life as possible.

Nicotine dependence and its association with health utility ratings among a sample of Indian dental patients

OBJECTIVES

To measure utility ratings and quality-adjusted life-years(QALYs) for nicotine dependence-related health states using the standard gamble approach among a sample of dental patients; investigate the possible associations of nicotine dependence, and study the influences on tobacco-related health state utilities estimates among patients.

METHODS

A sample of 200 adult outpatients who were current or former consumers of tobacco were included in the cross-sectional study. Demographic, oral health self-rating and tobacco-related data (Fagerstrom scale for nicotine dependence, type of tobacco consumed, frequency and duration of the habit) were collected. A standard gamble method of utility valuation was also carried out.

RESULTS

Older age, lower educational attainment, higher frequency of consumption, increased duration of the habit, consumption of chewing tobacco, as opposed to smoking tobacco, and poor oral health were associated with higher nicotine dependence. Lower nicotine dependence, better oral health and quitting the habit were associated with better health utility estimates. QALYs lost due to the habit among the 'low to moderate' and 'significant' nicotine dependence groups were 2.7 (sd, 3.7) and 6.7 (sd, 8.0) years, respectively.

CONCLUSIONS

Higher health utility ratings were seen among patients with 'low to moderate' nicotine dependence, better oral health status and quitters of the tobacco habit. Quality of life weights generated through this method could be used for cost-utility analyses of tobacco cessation/prevention interventions in different settings and cultures.

Economic evaluations of public health interventions for physical activity and healthy diet: A systematic review

Physical inactivity and unhealthy dietary habits are associated with an increased disease and economic burden. The aim of this systematic review was to identify economic evaluations of public health interventions targeting physical activity and healthy diet, and assess the quality and transferability of the findings to the Swedish context. A search of published economic evaluations was conducted through electronic databases including PubMed, Web of Science, PsycINFO, National Health Service Economic Evaluation Databases (NHS EED) and the Health Technology Assessment Database (HTA). An additional search was done using references of relevant systematic reviews and websites of relevant organizations were checked to find grey literature. Quality and transferability of the economic evaluations were appraised using a quality assessment tool developed by the Swedish Agency for Health Technology Assessment. Thirty-two economic evaluations, rated as moderate or high quality, of 178 interventions were included; thirteen studies targeting physical activity, thirteen targeting healthy diet and six targeting both. The interventions varied in terms of their content, setting, mode of delivery and target populations. A majority of the economic evaluations reported that the interventions were likely to be cost-effective; however, considerable variations in the methodological and reporting qualities were observed. Only half of the economic evaluations were rated to have a high probability of transferring to the Swedish context. Public health interventions targeting physical activity and dietary habits have a high potential to be cost-effective. However, decision makers should consider the variation in quality and transferability of the available evidence.

Cost-Effectiveness of Using Mass Media to Prevent Tobacco Use among Youth and Young Adults: The FinishIt Campaign

Mass media campaigns have been hailed as some of the most effective tobacco prevention interventions. This study examined the cost-effectiveness of the national tobacco prevention campaign, truth^® FinishIt, to determine the cost per quality-adjusted life year (QALY) saved and the return on investment (ROI). The cost–utility analysis used four main parameters: program costs, number of smoking careers averted, treatment costs, and number of QALYs saved whenever a smoking career is averted. Parameters were varied to characterize cost-effectiveness under different assumptions (base case, conservative, optimistic, and most optimistic). The ROI estimate compared campaign expenditures to the cost saved due to the campaign implementation. Analyses were conducted in 2019. The base case analysis indicated the campaign results in a societal cost savings of $3.072 billion. Under the most conservative assumptions, estimates indicated the campaign was highly cost-effective at $1076 per QALY saved. The overall ROI estimate was $174 ($144 in costs to smokers, $24 in costs to the smoker’s family, and $7 in costs to society) in cost savings for every $1 spent on the campaign. In all analyses, the FinishIt campaign was found to reach or exceed the threshold levels of cost savings or cost-effectiveness, with a positive ROI. These findings point to the value of this important investment in the health of the younger generation.

Twenty-year health and economic impact of reducing cigarette use: Minnesota 1998-2017

Background

Adult smoking prevalence in Minnesota fell from 21.8% in 1997 to 15.2% in 2016. This reduction improved heart and lung health, prevented cancers, extended life and reduced healthcare costs, but quantifying these benefits is difficult.

Methods

1.3 million individuals were simulated in a tobacco policy model to estimate the gains to Minnesotans from 1998 to 2017 in health, medical spending reductions and productivity gains due to reduced cigarette smoking. A constant prevalence scenario was created to simulate the tobacco harms that would have occurred had smoking prevalence stayed at 1997 levels. Those harms were compared with tobacco harms from a scenario of actual smoking prevalence in Minnesota from 1998 to 2017.

Results

The simulation model predicts that reducing cigarette smoking from 1998 to 2017 has prevented 4560 cancers, 31 691 hospitalisations for cardiovascular disease and diabetes, 12 881 respiratory disease hospitalisations and 4118 smoking-attributable deaths. Minnesotans spent an estimated $2.7 billion less in medical care and gained $2.4 billion in paid and unpaid productivity, inflation adjusted to 2017 US$. In sensitivity analysis, medical care savings ranged from $1.7 to $3.6 billion.

Conclusions

Minnesota’s investment in comprehensive tobacco control measures has driven down smoking rates, saved billions in medical care and productivity costs and prevented tobacco related diseases of its residents. The simulation method employed in this study can be adapted to other geographies and time periods to bring to light the invisible gains of tobacco control.

Impact of smoking on health system costs among cancer patients in a retrospective cohort study in Ontario, Canada

OBJECTIVE

Smoking is the main modifiable cancer risk factor. The objective of this study was to examine the impact of smoking on health system costs among newly diagnosed adult patients with cancer. Specifically, costs of patients with cancer who were current smokers were compared with those of non-smokers from a publicly funded health system perspective.

METHODS

This population-based cohort study of patients with cancer used administrative databases to identify smokers and non-smokers (1 April 2014-31 March 2016) and their healthcare costs in the 12-24 months following a cancer diagnosis. The health services included were hospitalisations, emergency room visits, drugs, home care services and physician services (from the time of diagnosis onwards). The difference in cost (ie, incremental cost) between patients with cancer who were smokers and those who were non-smokers was estimated using a generalised linear model (with log link and gamma distribution), and adjusted for age, sex, neighbourhood income, rurality, cancer site, cancer stage, geographical region and comorbidities.

RESULTS

This study identified 3606 smokers and 14 911 non-smokers. Smokers were significantly younger (61 vs 65 years), more likely to be male (53%), lived in poorer neighbourhoods, had more advanced cancer stage,and were more likely to die within 1 year of diagnosis, compared with non-smokers. The regression model revealed that, on average, smokers had significantly higher monthly healthcare costs ($5091) than non-smokers ($4847), p<0.05.

CONCLUSIONS

Smoking status has a significant impact on healthcare costs among patients with cancer. On average, smokers incurred higher healthcare costs than non-smokers. These findings provide a further rationale for efforts to introduce evidence-based smoking cessation programmes as a standard of care for patients with cancer as they have the potential not only to improve patients' outcomes but also to reduce the economic burden of smoking on the healthcare system.

Cost and Threshold Analysis of the FinishIt Campaign to Prevent Youth Smoking in the United States

In 2014, Truth Initiative launched the national FinishIt campaign to prevent smoking initiation among youth and young adults. The significant changes in the communications landscape requires further analysis to determine resource requirements for public education campaigns relative to their impact. This analysis estimates the cost of the FinishIt campaign based on data from expenditure records and uses published estimates of the lifetime treatment costs and quality-adjusted life years associated with smoking. The total cost of the FinishIt campaign for 2014⁻2016 was $162 million. Under assumptions associated with the pessimistic base-case (no medical care costs saved through prevention), 917 smoking careers would need to be averted for the campaign to be cost-effective. Assuming smoking leads to increased medical care costs, 7186 smoking careers would need to be averted for the campaign to be cost-saving. Given these thresholds (917 and 7186) and the estimate of the impact of the previous truth campaign, the investments in the Truth Initiative's FinishIt campaign are likely warranted for preventing smoking careers among youth and young adults.

Productivity burden of smoking in Australia: a life table modelling study

Objectives

This study aimed to examine the impact of smoking on productivity in Australia, in terms of years of life lost, quality-adjusted life years (QALYs) lost and the novel measure of productivity-adjusted life years (PALYs) lost.

Methods

Life table modelling using contemporary Australian data simulated follow-up of current smokers aged 20–69 years until age 70 years. Excess mortality, health-related quality of life decrements and relative reduction in productivity attributable to smoking were sourced from published data. The gross domestic product (GDP) per equivalent full-time (EFT) worker in Australia in 2016 was used to estimate the cost of productivity loss attributable to smoking at a population level.

Results

At present, approximately 2.5 million Australians (17.4%) aged between 20 and 69 years are smokers. Assuming follow-up of this population until the age of 70 years, more than 3.1 million years of life would be lost to smoking, as well as 6.0 million QALYs and 2.5 million PALYs. This equates to 4.2% of years of life, 9.4% QALYs and 6.0% PALYs lost among Australian working-age smokers. At an individual level, this is equivalent to 1.2 years of life, 2.4 QALYs and 1.0 PALY lost per smoker. Assuming (conservatively) that each PALY in Australia is equivalent to $A157 000 (GDP per EFT worker in 2016), the economic impact of lost productivity would amount to $A388 billion.

Conclusions

This study highlights the potential health and productivity gains that may be achieved from further tobacco control measures in Australia via application of PALYs, which are a novel, and readily estimable, measure of the impact of health and health risk factors on work productivity.

Global economic cost of smoking-attributable diseases

Background

The detrimental impact of smoking on health has been widely documented since the 1960s. Numerous studies have also quantified the economic cost that smoking imposes on society. However, these studies have mostly been in high income countries, with limited documentation from developing countries. The aim of this paper is to measure the economic cost of smoking-attributable diseases in countries throughout the world, including in low- and middle-income settings.

Methods

The Cost of Illness approach is used to estimate the economic cost of smoking attributable-diseases in 2012. Under this approach, economic costs are defined as either ‘direct costs' such as hospital fees or ‘indirect costs’ representing the productivity loss from morbidity and mortality. The same method was applied to 152 countries, which had all the necessary data, representing 97% of the world's smokers.

Findings

The amount of healthcare expenditure due to smoking-attributable diseases totalled purchasing power parity (PPP) $467 billion (US$422 billion) in 2012, or 5.7% of global health expenditure. The total economic cost of smoking (from health expenditures and productivity losses together) totalled PPP $1852 billion (US$1436 billion) in 2012, equivalent in magnitude to 1.8% of the world's annual gross domestic product (GDP). Almost 40% of this cost occurred in developing countries, highlighting the substantial burden these countries suffer.

Conclusions

Smoking imposes a heavy economic burden throughout the world, particularly in Europe and North America, where the tobacco epidemic is most advanced. These findings highlight the urgent need for countries to implement stronger tobacco control measures to address these costs.