The impact of changes in tobacco control funding on healthcare expenditures in California, 2012–2016

Smoking-Attributable Health Care Expenditures for US Adults With Chronic Lower Respiratory Disease

Importance

Cigarette smoking is a primary risk factor for chronic lower respiratory disease (CLRD) and is associated with worse symptoms among people with CLRD. It is important to evaluate the economic outcomes of smoking in this population.

Objective

To estimate smoking prevalence and cigarette smoking-attributable health care expenditures (SAHEs) for adults with CLRD in the US.

Design, Setting, and Participants

This cross-sectional study used data from the 2014-2018 and 2020 National Health Interview Surveys (NHIS) and the 2020 Medical Expenditure Panel Survey. The final study population, stratified by age 35 to 64 years and 65 years or older, was extracted from the 2014-2018 NHIS data. The data analysis was performed between February 1 and March 31, 2024.

Exposures

Cigarette smoking, as classified into 4 categories: current smokers, former smokers who quit less than 15 years ago, former smokers who quit 15 or more years ago, and never smokers.

Main Outcomes and Measures

Smoking-attributable health care expenditures were assessed using a prevalence-based annual cost approach. Econometric models for the association between cigarette smoking and health care utilization were estimated for 4 types of health care services: inpatient care, emergency department visits, physician visits, and home health visits.

Results

In the 2014-2018 NHIS study sample of 13 017 adults, 7400 (weighted 62.4%) were aged 35 to 64 years, 5617 (weighted 37.6%) were 65 years or older, and 8239 (weighted 61.9%) were female. In 2020, among 11 211 222 adults aged 35 to 64 with CLRD, 3 508 504 (31.3%) were current smokers and 3 496 790 (31.2%) were former smokers. Total SAHEs in 2020 for this age group were $13.6 billion, averaging $2752 per current smoker and $1083 per former smoker. In 2020, 7 561 909 adults aged 65 years or older had CLRD, with 1 451 033 (19.2%) being current smokers and 4 104 904 (54.3%) being former smokers. Total SAHEs in 2020 for the older age group were $5.3 billion, averaging $1704 per current smoker and $682 per former smoker. In sum, SAHEs for adults with CLRD aged 35 years or older amounted to $18.9 billion in 2020.

Conclusions and Relevance

In this cross-sectional study of adults with CLRD, cigarette smoking was associated with a substantial health care burden. The higher per-person SAHEs for current smokers compared with former smokers suggest potential cost savings of developing targeted smoking cessation interventions for this population.

Healthcare utilisation and expenditures attributable to current e-cigarette use among US adults

AIMS

This study estimated annual healthcare expenditures attributable to current e-cigarette use among US adults, including current exclusive and dual/poly e-cigarette use.

METHODS

Analysing the 2015-2018 National Health Interview Survey data, we estimated the impacts of e-cigarette use on healthcare utilisation among adults aged 18+ years. Healthcare utilisation outcomes were hospital nights, emergency room (ER) visits, doctor visits and home visits. Current e-cigarette use was categorised as exclusive and dual/poly e-cigarette use. The econometric model included two equations: health status as a function of e-cigarette use and other independent variables, and healthcare utilisation as a function of health status, e-cigarette use, and other independent variables. Using an 'excess utilisation' approach, we multiplied the e-cigarette-attributable fraction derived from the model by annual health expenditures to calculate healthcare expenditures attributable to current exclusive and dual/poly e-cigarette use, the sum of which were expenditures attributable to all current e-cigarette use.

RESULTS

Current exclusive and dual/poly e-cigarette use, with 0.2% and 3.5% prevalence in 2015-2018, were associated with higher odds of reporting poor health status than never tobacco users. Poor health status was associated with higher odds of using the four healthcare services and a greater number of ER and doctor visits. Annual healthcare expenditures attributable to all current e-cigarette use was $15.1 billion ($2024 per user) in 2018, including $1.3 billion attributable to exclusive e-cigarette use ($1796 per user) and $13.8 billion attributable to dual/poly e-cigarette use ($2050 per user).

CONCLUSION

Adult current e-cigarette use was associated with substantial excess healthcare utilisation and expenditures.

Illuminating a Path Forward for Tobacco Nation: Projected Impacts of Recommended Policies on Geographic Disparities

Introduction

This study quantifies the impacts of strengthening 2 tobacco control policies in "Tobacco Nation," a region of the United States (U.S.) with persistently higher smoking rates and weaker tobacco control policies than the rest of the US, despite high levels of support for tobacco control policies.

Methods

We used a microsimulation model, ModelHealthTM:Tobacco, to project smoking-attributable (SA) outcomes in Tobacco Nation states and the U.S. from 2022 to 2041 under 2 scenarios: (1) no policy change and (2) a simultaneous increase in cigarette taxes by $1.50 and in tobacco control expenditures to the CDC-recommended level for each state. The simulation uses state-specific data to simulate changes in cigarette smoking as individuals age and the health and economic consequences of current or former smoking. We simulated 500 000 individuals for each Tobacco Nation state and the U.S. overall, representative of each population.

Results

Over the next 20 years, without policy changes, disparities in cigarette smoking will persist between Tobacco Nation and other U.S. states. However, compared to a scenario with no policy change, the simulated policies would lead to a 3.5% greater reduction in adult smoking prevalence, 2361 fewer SA deaths per million persons, and $334M saved in healthcare expenditures per million persons in Tobacco Nation. State-level findings demonstrate similar impacts.

Conclusions

The simulations indicate that the simulated policies could substantially reduce cigarette smoking disparities between Tobacco Nation and other U.S. states. These findings can inform tobacco control advocacy and policy efforts to advance policies that align with evidence and Tobacco Nation residents' wishes.

Projecting the future impact of past accomplishments in tobacco control

BACKGROUND

The benefits to adults who quit smoking increase over time as former smokers live longer, healthier lives. Youth who never smoke will benefit for decades. Thus, the long-term population effects of tobacco prevention and control policies may be substantial. Yet they are rarely quantified in evaluations of state tobacco control programmes.

METHODS

Using a microsimulation model, we predicted the benefits to Minnesotans from 2018 to 2037 of having reduced cigarette smoking prevalence from 1998 to 2017. We first simulated the health and economic harms of tobacco that would have occurred had smoking prevalence stayed at 1997 levels. The harms produced by that scenario were then compared with harms in scenarios with smoking declining at observed rates from 1998 to 2017 and either expected declines from 2018 to 2037 or a greater decline to 5% prevalence in 2037.

RESULTS

With expected smoking prevalence decreases from 2018 to 2037, Minnesotans will experience 12 298 fewer cancers, 72 208 fewer hospitalisations for cardiovascular disease and diabetes, 31 913 fewer respiratory disease hospitalisations, 14 063 fewer smoking-attributable deaths, $10.2 billion less in smoking-attributable medical expenditures and $9.4 billion in productivity gains than if prevalence had stayed at 1997 levels. These gains are two to four times greater than for the previous 20 years, and would be about 15% higher if Minnesota achieves a 5% adult prevalence rate by 2037.

CONCLUSIONS

The tobacco control measures implemented from 1998 to 2017 will produce accelerated benefits during 2018-2037 if modest progress in tobacco prevalence rates is maintained.

Factors influencing cigarette smoking among police and costs of an officer smoking in the workplace at Nsambya Barracks, Uganda

INTRODUCTION

Studies in several countries indicate that being a police officer is a risk factor for tobacco use. Currently, no such studies have been performed among police officers in Uganda, or in Africa generally. The aim of this study is to assess prevalence and costs of smoking among Ugandan police officers.

METHODS

A multistage survey model was employed to sample police officers (n=349) that included an observational cross-sectional survey and an annual cost-analysis approach. The study setting was confined to Nsambya Police Barracks, in Kampala city.

RESULTS

Police officers smoke 4.8 times higher than the general public (25.5% vs 5.3%). Risk factors included lower age, higher education and working in guard and general duties units. The findings show that the annual cost of smoking due to productivity loss could be up to US$5.521 million and US$57.316 million for excess healthcare costs. These costs represent 45.1% of the UGX514.7 billion (in Ugandan Shillings, or about US$139.1 million) national police budget in the fiscal year 2018–19 and is equivalent to 0.24% of Uganda’s annual gross domestic product (GDP).

CONCLUSIONS

Considering these data, prevalence of smoking among police officers are dramatically higher than in the general population. Consequently, smoking in police officers exerts a large burden on healthcare and productivity costs. This calls for comprehensive tobacco control measures designed to reduce smoking in the workplace so as to fit the specific needs of the Ugandan Police Force.

Claire AW, Keller PA, Xu Z, Schillo BA. The 20-year impact of tobacco price and tobacco control expenditure increases in Minnesota, 1998-2017

Introduction

Tobacco control programs and policies reduce tobacco use and prevent health and economic harms. The majority of tobacco control programs and policies in the United States are implemented at local and state levels. Yet the literature on state-level initiatives reports a limited set of outcomes. To facilitate decision-making that is increasingly focused on costs, we provide estimates of a broader set of measures of the impact of tobacco control policy, including smoking prevalence, disease events, deaths, medical costs, productivity and tobacco tax revenues, using the experience of Minnesota as an example.

Methods

Using the HealthPartners Institute’s ModelHealth^™: Tobacco MN microsimulation, we assessed the impact of the stream of tobacco control expenditures and cigarette price increases from 1998 to 2017. We simulated 1.3 million individuals representative of the Minnesota population.

Results

The simulation estimated that increased expenditures on tobacco control above 1997 levels prevented 38,400 cancer, cardiovascular, diabetes and respiratory disease events and 4,100 deaths over 20 years. Increased prices prevented 14,600 additional events and 1,700 additional deaths. Both the net increase in tax revenues and the reduction in medical costs were greater than the additional investments in tobacco control.

Conclusion

Combined, the policies address both short-term and long-term goals to reduce the harms of tobacco by helping adults who wish to quit smoking and deterring youth from starting to smoke. States can pay for initial investments in tobacco control through tax increases and recoup those investments through reduced expenditures on medical care.

Hookah and Electronic Inhalant Device Use and Perceptions Among African American Youth and Young Adults: Are We Asking the Right Questions?

Objectives. Survey items used in surveillance systems to assess the use of emerging products like hookah and electronic inhalant devices (EIDs) may not match definitions used by high-risk populations. This qualitative study explored how African American youth and young adults (YYAs) (1) use hookah and EIDs and (2) identify patterns in the ways they describe and organize these products. Design. Individual in-person interviews were conducted among a sample of continuation high school and vocational school students in southern California. Participation was limited to those who had ever tried at least one tobacco product, self-identified as African American, and were between the ages of 14 and 26 years (n = 28). We conducted a content analysis to identify patterns in perceptions and use of these products. Results. African American YYAs recognized and described traditional hookah based on physical attributes, but for EIDs, including e-cigarettes, e-hookah, and vape pens, YYAs focused on reasons for using the product. Three primary categories emerged for reasons YYA used specific products: nicotine content and quitting, social facilitation, and use with marijuana. E-cigarettes were identified as quitting aids and as having nicotine but were not considered addictive. The term hookah recalled both the traditional and electronic pen-type products for YYAs. The terms vapes, hookah, wax pens, and others are used in the context of describing product use with marijuana. Conclusions. A better understanding of why African American YYAs use these products is needed to develop better measures for accurate rates of use, uncover differences in use between product types, and to develop effective prevention messaging.

Smoking Behavior and Healthcare Expenditure in the United States, 1992-2009: Panel Data Estimates

BACKGROUND

Reductions in smoking in Arizona and California have been shown to be associated with reduced per capita healthcare expenditures in these states compared to control populations in the rest of the US. This paper extends that analysis to all states and estimates changes in healthcare expenditure attributable to changes in aggregate measures of smoking behavior in all states.

METHODS AND FINDINGS

State per capita healthcare expenditure is modeled as a function of current smoking prevalence, mean cigarette consumption per smoker, other demographic and economic factors, and cross-sectional time trends using a fixed effects panel data regression on annual time series data for each the 50 states and the District of Columbia for the years 1992 through 2009. We found that 1% relative reductions in current smoking prevalence and mean packs smoked per current smoker are associated with 0.118% (standard error [SE] 0.0259%, p < 0.001) and 0.108% (SE 0.0253%, p < 0.001) reductions in per capita healthcare expenditure (elasticities). The results of this study are subject to the limitations of analysis of aggregate observational data, particularly that a study of this nature that uses aggregate data and a relatively small sample size cannot, by itself, establish a causal connection between smoking behavior and healthcare costs. Historical regional variations in smoking behavior (including those due to the effects of state tobacco control programs, smoking restrictions, and differences in taxation) are associated with substantial differences in per capita healthcare expenditures across the United States. Those regions (and the states in them) that have lower smoking have substantially lower medical costs. Likewise, those that have higher smoking have higher medical costs. Sensitivity analysis confirmed that these results are robust.

CONCLUSIONS

Changes in healthcare expenditure appear quickly after changes in smoking behavior. A 10% relative drop in smoking in every state is predicted to be followed by an expected $63 billion reduction (in 2012 US dollars) in healthcare expenditure the next year. State and national policies that reduce smoking should be part of short term healthcare cost containment.

Obesity-Related Policy/Environmental Interventions: A Systematic Review of Economic Analyses

CONTEXT

Policy and environmental changes to support and encourage individual-level nutrition and physical activity behavior are underway in many parts of the U.S. and around the world at national, state, and local levels. Yet, to the authors' knowledge, no summary of the cost-benefit or cost-effectiveness studies of obesity-related policy/environmental interventions exists.

EVIDENCE ACQUISITION

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement guidelines were followed to identify, screen, and describe the protocols used in this systematic review. In 2014, a unique search was conducted of titles and abstracts in MEDLINE, EconLit, SCOPUS, and Web of Science databases that were published from January 2002 through January 2014 in English-language, peer-reviewed journals. The search terms described obesity, physical activity, and diet in combination with economic evaluation.

EVIDENCE SYNTHESIS

In 2014 and 2015, the results were analyzed. A total of 27 studies met the inclusion criteria, of which 26 described separate interventions. Of the 27 included studies, eight focused on the community and built environment, seven assessed nutrition-related changes, nine reported on the school environment, and three evaluated social marketing and media interventions. The vast majority of included studies reported beneficial economic outcomes of the interventions.

CONCLUSIONS

Given the large and growing literature on the health and behavioral outcomes of policy and environmental interventions, the relatively low number of located cost-benefit and cost-effectiveness economic assessments appears to indicate a prime opportunity for the research community to address.

Measuring Exposure Opportunities: Using Exogenous Measures in Assessing Effects of Media Exposure on Smoking Outcomes

Measurement of exposure has long been one of the most central and fundamental issues in communication research. While self-reported measures remain dominant in the field, alternative approaches such as exogenous or hybrid measures have received increasing scholarly attention and been employed in various contexts for the estimation of media exposure; however, systematic scrutiny of such measures is thin. This study aims to address the gap by systematically reviewing the studies which utilized exogenous or hybrid exposure measures for examining the effects of media exposure on tobacco-related outcomes. We then proceed to discuss the strengths and weaknesses, current developments in this class of measurement, drawing some implications for the appropriate utilization of exogenous and hybrid measures.

Smoking Trends and Disparities Among Black and Non-Hispanic Whites in California

OBJECTIVES

The current study examined disparities in smoking trends across Blacks and non-Hispanic Whites in California.

METHODS

Data from the 1996 to 2008 California Tobacco Survey were analyzed to examine trends in smoking behaviors and cessation across Blacks and non-Hispanic Whites.

RESULTS

A decrease in overall ever and current smoking was observed for both Black and non-Hispanic Whites across the 12-year time period. A striking decrease in proportions of heavy daily smokers for both Black and non-Hispanic Whites were observed. Proportions of light and intermittent smokers and moderate daily smokers displayed modest increases for Blacks, but large increases for non-Hispanic Whites. Increases in successful cessation were also observed for Blacks and, to a lesser extent, for non-Hispanic Whites.

DISCUSSION

Smoking behavior and cessation trends across Blacks and non-Hispanic Whites were revealing. The decline in heavy daily and former smokers may demonstrate the success and effectiveness of tobacco control efforts in California. However, the increase in proportions of light and intermittent smokers and moderate daily smokers for both Blacks and non-Hispanic Whites demonstrates a need for tobacco cessation efforts focused on lighter smokers.

Health care expenditures attributable to smoking in military veterans

INTRODUCTION

The health effects of cigarette smoking have been estimated to account for between 6%-8% of U.S. health care expenditures. We estimated Veterans Health Administration (VHA) health care costs attributable to cigarette smoking.

METHODS

VHA survey and administrative data provided the number of Veteran enrollees, current and former smoking prevalence, and the cost of 4 types of care for groups defined by age, gender, and region. Cost and smoking status could not be linked at the enrollee level, so we used smoking attributable fractions estimated in sample of U.S. residents where the linkage could be made.

RESULTS

The 7.7 million Veterans enrolled in VHA received $40.2 billion in VHA provided health services in 2010. We estimated that $2.7 billion in VHA costs were attributable to the health effects of smoking. This was 7.6% of the $35.3 billion spent on the types of care for which smoking-attributable fractions could be determined. The fraction of inpatient costs that was attributable to smoking (11.4%) was greater than the fraction of ambulatory care cost attributable to smoking (5.3%). More cost was attributable to current smokers ($1.7 billion) than to former smokers ($983 million).

CONCLUSIONS

The fraction of VHA costs attributable to smoking is similar to that of other health care systems. Smoking among Veterans is slowly decreasing, but prevalence remains high in Veterans with psychiatric and substance use disorders, and in younger and female Veterans. VHA has adopted a number of smoking cessation programs that have the potential for reducing future smoking-attributable costs.

The effect of the California tobacco control program on smoking prevalence, cigarette consumption, and healthcare costs: 1989-2008

BACKGROUND

Previous research has shown that tobacco control funding in California has reduced per capita cigarette consumption and per capita healthcare expenditures. This paper refines our earlier model by estimating the effect of California tobacco control funding on current smoking prevalence and cigarette consumption per smoker and the effect of prevalence and consumption on per capita healthcare expenditures. The results are used to calculate new estimates of the effect of the California Tobacco Program.

METHODOLOGY/PRINCIPAL FINDINGS

Using state-specific aggregate data, current smoking prevalence and cigarette consumption per smoker are modeled as functions of cumulative California and control states' per capita tobacco control funding, cigarette price, and per capita income. Per capita healthcare expenditures are modeled as a function of prevalence of current smoking, cigarette consumption per smoker, and per capita income. One additional dollar of cumulative per capita tobacco control funding is associated with reduction in current smoking prevalence of 0.0497 (SE.00347) percentage points and current smoker cigarette consumption of 1.39 (SE.132) packs per smoker per year. Reductions of one percentage point in current smoking prevalence and one pack smoked per smoker are associated with $35.4 (SE $9.85) and $3.14 (SE.786) reductions in per capita healthcare expenditure, respectively (2010 dollars), using the National Income and Product Accounts (NIPA) measure of healthcare spending.

CONCLUSIONS/SIGNIFICANCE

Between FY 1989 and 2008 the California Tobacco Program cost $2.4 billion and led to cumulative NIPA healthcare expenditure savings of $134 (SE $30.5) billion.