Efficacy and cost-effectiveness of a community-based smoke-free-home intervention with or without indoor-air-quality feedback in Bangladesh (MCLASS II): a three-arm, cluster-randomised, controlled trial.

BACKGROUND: Exposure to second-hand smoke from tobacco is a major contributor to global morbidity and mortality. We aimed to evaluate the efficacy and cost-effectiveness of a community-based smoke-free-home intervention, with or without indoor-air-quality feedback, in reducing second-hand-smoke exposure in homes in Bangladesh. METHODS: We did a three-arm, cluster-randomised, controlled trial in Dhaka, Bangladesh, and randomly assigned (1:1:1) mosques and consenting households from their congregations to a smoke-free-home intervention plus indoor-air-quality feedback, smoke-free-home intervention only, or usual services. Households were eligible if they had at least one resident attending one of the participating mosques, at least one adult resident (age 18 years or older) who smoked cigarettes or other forms of smoked tobacco (eg, bidi, waterpipe) regularly (on at least 25 days per month), and at least one non-smoking resident of any age. The smoke-free-home intervention consisted of weekly health messages delivered within an Islamic discourse by religious leaders at mosques over 12 weeks. Indoor-air-quality feedback comprised providing households with feedback on their indoor air quality measured over 24 h. Households in the usual services group received no intervention. Masking of participants and mosque leaders was not possible. The primary outcome was the 24-h mean household airborne fine particulate matter (<2·5 microns in diameter [PM2·5]) concentration (a marker of second-hand smoke) at 12 months after randomisation. Cost-effectiveness was estimated using incremental cost-effectiveness ratios (ICERs). This trial is registered with ISRCTN, 49975452. FINDINGS: Between April 11 and Aug 2, 2018, we enrolled 1801 households from 45 mosques. 640 households (35·5%) were assigned to the smoke-free-home intervention plus indoor-air-quality feedback group, 560 (31·1%) to the smoke-free-home intervention only group, and 601 (33·4%) to the usual services group. At 12 months, the adjusted mean difference in household mean 24-h PM2·5 concentration was -1·0 µg/m3 (95% CI -12·8 to 10·9, p=0·88) for the smoke-free-home intervention plus indoor-air-quality feedback group versus the usual services group, 5·0 µg/m3 (-7·9 to 18·0, p=0·45) for the smoke-free-home intervention only group versus the usual services group, and -6·0 µg/m3 (-18·3 to 6·3, p=0·34) for the smoke-free-home intervention plus indoor-air-quality feedback group versus the smoke-free-home intervention only group. The ICER for the smoke-free-home intervention plus indoor-air-quality feedback versus usual services was US$653 per quality-adjusted life-year (QALY) gained, which was more than the upper limit of the Bangladesh willingness-to-pay threshold of $427 per QALY. INTERPRETATION: The smoke-free-home intervention, with or without indoor-air-quality feedback, was neither effective nor cost-effective in reducing household second-hand-smoke exposure compared with usual services. These interventions are therefore not recommended for Bangladesh. FUNDING: Medical Research Council UK. TRANSLATION: For the Bengali translation of the abstract see Supplementary Materials section.

Impact of UK Tobacco Control Policies on Inequalities in Youth Smoking Uptake: A Natural Experiment Study.

INTRODUCTION: UK countries implemented smoke-free public places legislation and increased the legal age for tobacco purchase from 16 to 18 years between 2006 and 2008. We evaluated the immediate and long-term impacts of these UK policy changes on youth smoking uptake and inequalities therein. AIMS AND METHODS: We studied 74 960 person-years of longitudinal data from 14 992 youths (aged 11-15 years) in annual UK household surveys between 1994 and 2016. Discrete-time event history analyses examined whether changes in rates of youth smoking transitions (initiation, experimentation, and escalation to daily smoking or quitting) or their inequalities (by parental education) were associated with policy implementation. Parallel analyses examined smoke-free legislation and the change in legal age. We interpret the results as a combined effect of the two pieces of legislation as their implementation dates were too close to identify separate effects. Models were adjusted for sex, age, UK country, historical year, tobacco taxation, and e-cigarette prevalence, with multiple imputation for missing data. RESULTS: For both policies, smoking initiation reduced following implementation (change in legal age odds ratio [OR]: 0.67; 95% confidence interval [CI]: 0.55 to 0.81; smoke-free legislation OR: 0.68; 95% CI: 0.56 to 0.82), while inequalities in initiation narrowed over subsequent years. The legal age change was associated with annual increases in progression from initiation to occasional smoking (OR: 1.26; 95% CI: 1.07 to 1.50) and a reduction in quitting following implementation (OR: 0.57; 95% CI: 0.35 to 0.94). Similar effects were observed for smoke-free legislation but CIs overlapped the null. CONCLUSIONS: Policies such as these may be highly effective in preventing and reducing socioeconomic inequalities in youth smoking initiation. IMPLICATIONS: UK implementation of smoke-free legislation and an increase in the legal age for tobacco purchase from 16 to 18 years were associated with an immediate reduction in smoking initiation and a narrowing of inequalities in initiation over subsequent years. While the policies were associated with reductions in the initiation, progression to occasional smoking increased and quitting decreased following the legislation.

Tobacco Cost of Illness Studies: A Systematic Review.

INTRODUCTION: To identify studies reporting costs arising from tobacco use and detail their (1) economic approaches, (2) health outcomes, and (3) other cost areas included. METHODS: We searched PubMed, Scopus, Cochrane Library, EconLit, and Google Scholar for studies published between 2008 and April 2018 in English. Eligible articles reported tobacco-related costs and included all tobacco-using populations (multinational, national, subpopulations, and involuntary smokers). All economic approaches that resulted in monetary outcomes were included. We reported USD or converted local currencies to USD. Two health economists extracted and two researchers independently reviewed the data. RESULTS: From 4083 articles, we reviewed 361 abstracts and examined 79 full-texts, with 63 (1.6%) deemed eligible. There were three multinational, thirty-four national, twenty-one subpopulation or condition(s)-specific analyses, and five evaluating involuntary smoking. The diverse approaches and outcomes precluded integrating costs, but these were substantial in all studies. For instance, about USD 1436 billion in global health expenditures and productivity losses in 2012 and USD 9 billion in lost productivity in China, Brazil, and South Africa in 2012. At the national level, costs ranged from USD 4665 in annual per respondent health expenses (Germany 2006-2008) to USD 289-332.5 billion in medical expenses (United States 1964-2014). CONCLUSIONS: Despite wide variations in the methods used, the identified costs of tobacco are substantial. Studies on tobacco cost-of-illness use diverse methods and hence produce data that are not readily comparable across populations, time, and studies, precluding a consistent evidence-base for action and measurement of progress. Recommendations are made to improve comparability. IMPLICATIONS: In addition to the health and financial costs to individual smokers, smoking imposes costs on the broader community. Production of comparable estimates of the societal cost of tobacco use is impaired by a plethora of economic models and inconsistently included costs and conditions. These inconsistencies also cause difficulties in comparing relative impacts caused by differing factors. The review systematically documents the post-2007 literature on tobacco cost-of-illness estimations and details conditions and costs included. We hope this will encourage replication of models across settings to provide more consistent data, able to be integrated across populations, over time, and across risk factors.

Secondhand smoke and illness: are mother-child pairs from low socio-economic strata at increased risk in Bangladesh?

To examine: 1) whether exposure to secondhand smoke (SHS) at home is associated with symptoms of self-reported illness among mother-child pairs (MCPs); and 2) the relationship between low socio-economic status and SHS exposure and the role these play as obstacles to the reduction of risk of illness in MCPs. A cross-sectional study was conducted in Rajshahi District, Bangladesh, from May to July 2017. A total of 541 MCPs were interviewed. The prevalence of SHS exposure at home in our sample data was 49.0%. SHS exposure was found to be associated with a higher likelihood of any self-reported rhinitis, any respiratory symptoms and any reproductive health problems among mothers. SHS exposure in children was found to be associated with a higher likelihood of any self-reported rhinitis and food sensitisation, any respiratory symptoms and otitis media. Our findings also suggested that although SHS had an independently adverse effect on MCPs, wealth moderated the likelihood of illness. MCPs who were both poor and exposed to SHS were uniquely disadvantaged in terms of their poor health conditions than MCPs who were wealthier and exposed to SHS. .

Economic Costs Attributable to Smoking in Hong Kong in 2011: A Possible Increase From 1998.

BACKGROUND: Reduction in smoking prevalence does not necessarily reduce the costs of smoking as evidence shows in developed countries. We provide up-to-date estimates for direct and indirect costs attributable to smoking in Hong Kong in 2011 and compare with our 1998 estimates. METHODS: We took a societal perspective to include lives and life years lost, health care costs and time lost from work in the costing. We followed guidelines on estimating costs of active smoking for those aged 35 years or above (35+) and costs due to second-hand smoking (SHS) exposure for 35+, infants aged 12 months and under and children aged 15 and below. All costs are in US dollars. RESULTS: We estimated that 6154 deaths among 35+ in Hong Kong in 2011 were attributable to active smoking, an increase of 10% from 1998. Besides, 672 deaths were attributable to SHS exposure, that is, 10% of the total 6826 smoking-attributable deaths. The estimate of productive life lost due to deaths from active smoking by those aged under 65 years in 2011 was $166 million, an increase of about 4% over the estimate in 1998. Our conservative estimate of the annual tobacco-related disease cost in 2011 was $716 million which accounted for 0.3% of GDP. If we added the value of attributable lives lost, the annual cost would be $4.7 billion. CONCLUSION: Despite the reduction in smoking prevalence, smoking-attributable disease still imposes a substantial economic burden on Hong Kong society. These findings support more stringent and effective tobacco control legislation, policies, and measures. IMPLICATIONS: Current evidence shows reduction in smoking prevalence does not necessarily reduce the economic costs of smoking. Most studies in developed countries employed a societal perspective, including costs of productivity loss and indirect costs, but not all studies estimated costs associated with second-hand smoking (SHS). The present study estimated the total costs of smoking in Hong Kong including direct and indirect costs attributable to active smoking and to SHS exposure. Our study confirms the pattern of smoking epidemic in developed countries, forewarns the increasing economic burdens from tobacco, and provides East Asian countries with a prediction of their own future costs.

Children Learning About Secondhand Smoke (CLASS II): A Pilot Cluster Randomized Controlled Trial.

INTRODUCTION: Children exposed to secondhand smoke (SHS) are at increased risk of respiratory illnesses. We piloted a Smoke Free Intervention (SFI) and trial methods before investigating its effectiveness and cost-effectiveness in primary school children. METHODS: In a pilot cluster randomized controlled trial in Bangladesh, primary schools were allocated to usual education (control) or SFI, using minimization. Year-5 children were recruited. Masking treatment allocation was not possible. Delivered by schoolteachers, SFI consisted of two 45-min and four 15-min educational sessions. Our primary outcome was SHS exposure at two months post randomization, verified by children's salivary cotinine. The trial is registered at ISRCTN.com; ISRCTN68690577. RESULTS: Between April 1, 2015 and June 30, 2015, we recruited 12 schools. Of the 484 children present in Year-5, 481 consented. Six schools were allocated to both SFI (n = 245) and to usual education only (n = 236). Of them, 450 children (SFI = 229; control = 221) who had cotinine levels indicative of SHS exposure were followed-up. All schools were retained, 91% children (208/229) in SFI and 88% (194/221) in the control arm completed primary outcome assessment. Their mean cotinine at the cluster level was 0.53 ng/ml (SD 0.36) in SFI and 1.84 ng/ml (SD 1.49) in the control arm-a mean difference of -1.31 ng/ml (95% CI = -2.86 to 0.24). CONCLUSION: It was feasible to recruit, randomize, and retain primary schools and children in our trial. Our study, though not powered to detect differences in mean cotinine between the two arms, provides estimates to inform the likely effect size for future trials. IMPLICATIONS: In countries with high smoking prevalence, children remain at risk of many conditions due to secondhand smoke exposure. There is little empirical evidence on the effectiveness and cost-effectiveness of interventions that can reduce their exposure to secondhand smoke at homes. CLASS II trial found that a school-based intervention (SFI) has the potential to reduce children's exposure to SHS-an approach that has been rarely used, but has considerable merit in school-based contexts. CLASS II trial provides key information to conduct a future definitive trial in this area of public health, which despite its importance has so far received little attention.

Healthcare Costs of Secondhand Smoke Exposure at Home for U.S. Children.

INTRODUCTION: The purpose of this study is to estimate healthcare utilization and healthcare costs due to secondhand smoke exposure at home for children in the U.S. METHODS: Using data from the 2000, 2005, and 2010 U.S. National Health Interview Surveys, the authors analyzed the association between secondhand smoke exposure at home and utilization of three types of healthcare services (hospital nights, emergency room visits, and doctor visits) for children aged 3-14 years (N=16,860). A zero-inflated Poisson regression model was used to control for sociodemographic characteristics and the number of months without health insurance. The authors determined excess healthcare utilization attributable to secondhand smoke exposure at home for children and then estimated annual secondhand smoke-attributable healthcare costs as the product of annual excess healthcare utilization and unit costs obtained from the 2014 Medical Expenditures Panel Survey. This study was conducted from 2016 to 2018. RESULTS: The prevalence of secondhand smoke exposure at home for children in 2000, 2005, and 2010 was 25.0%, 12.3%, and 9.1%, respectively. Secondhand smoke exposure at home was positively associated with emergency room visits, but was not significantly associated with nights at the hospital or doctor visits for children. Secondhand smoke exposure at home for children resulted in an excess of 347,156 emergency room visits in 2000, 124,412 visits in 2005, and 101,570 visits in 2010, which amounted to $215.1 million, $77.1 million, and $62.9 million in excess annual healthcare costs (2014 dollars) in 2000, 2005, and 2010, respectively. CONCLUSIONS: Although U.S. healthcare costs attributable to secondhand smoke exposure at home for children are declining, interventions to reduce secondhand smoke exposure at home for children are still needed to reduce the economic burden attributable to secondhand smoke exposure.

Passive Smoking Indicators in Italy: Does the Gross Domestic Product Matter?

BACKGROUND: The aim of this study is to analyse the correlation between regional values of Gross Domestic Product (GDP) and passive smoking in Italy. METHODS: The outcome measures were smoking ban respect in public places, workplaces and at home, derived from the PASSI surveillance for the period 2011⁻2017. The explanatory variable was GDP per capita. The statistical analysis was carried out using bivariate and linear regression analyses, taking into consideration two different periods, Years 2011⁻2014 and 2014⁻2017. RESULTS: GDP is showed to be positively correlated with smoking ban respect in public places (r = 0.779 p < 0.001; r = 0.723 p < 0.001 in the two periods, respectively), as well as smoking ban respect in the workplace (r = 0.662 p = 0.001; r = 0.603 p = 0.004) and no smoking at home adherence (r = 0.424 p = 0.056; r = 0.362 p = 0.107). In multiple linear regression GDP is significantly associated to smoking ban respect in public places (adjusted ß = 0.730 p < 0.001; ß = 0.698 p < 0.001 in the two periods, respectively), smoking ban in workplaces (adjusted ß = 0.525 p = 0.020; ß = 0.570 p = 0.009) and no smoking at home (adjusted ß = 0.332 p = 0.070; ß = 0.362 p = 0.052). CONCLUSIONS: Smoking ban is more respected in Regions with higher GDP. For a better health promotion, systematic vigilance and sanctions should be maintained and strengthened, particularly in regions with low compliance with smoking bans.

The impact and relevance of tobacco control research in low-and middle-income countries globally and to the US.

International and cross-cultural research is critical for understanding multilevel influences on health, health behaviors, and disease. A particularly relevant area of need for such research is tobacco control. The tobacco epidemic is one of the biggest public health threats globally, killing over 7 million people a year. Research critical to addressing this public health problem has leveraged variability in tobacco use, history, product market, and policies across different countries, settings, and populations, particularly in low- and middle-income countries (LMICs) where the tobacco burden is increasing. These efforts are needed in order to advance the science and inform practice and policy in various settings, including the US. Several funding agencies provide support for international research focused on tobacco control in LMICs because of the importance and implications of such research. This paper provides some concrete examples of how such research has advanced our knowledge-base and informed practice and policy globally, particularly in high-income countries including the US. Some prominent themes emphasized in this manuscript include: the development of knowledge regarding the diverse tobacco products on the market; better understanding of tobacco use and its impact among different populations; generating knowledge about the impacts including unintended consequences of tobacco control policy interventions; and better understanding tobacco industry strategies and informing advocacy efforts. In summary, international tobacco control research, particularly in LMICs, is critical in effectively and efficiently building the evidence base to advance tobacco control research, policy, and practice globally, including the US, with the ultimate goal of curbing the tobacco epidemic.

Healthcare costs attributable to secondhand smoke exposure at home for U.S. adults.

OBJECTIVE: To estimate healthcare costs attributable to secondhand smoke (SHS) exposure at home among nonsmoking adults (18+) in the U.S. METHODS: We analyzed data on nonsmoking adults (N=67,735) from the 2000, 2005, and 2010 (the latest available data on SHS exposure at home) U.S. National Health Interview Surveys. This study was conducted from 2015 to 2017. We examined hospital nights, home care visits, doctor visits, and emergency room (ER) visits. For each, we analyzed the association of SHS exposure at home with healthcare utilization with a Zero-Inflated Poisson regression model controlling for socio-demographic and other risk characteristics. Excess healthcare utilization attributable to SHS exposure at home was determined and multiplied by unit costs derived from the 2014 Medical Expenditures Panel Survey to determine annual SHS-attributable healthcare costs. RESULTS: SHS exposure at home was positively associated with hospital nights and ER visits, but was not statistically associated with home care visits and doctor visits. Exposed adults had 1.28 times more hospital nights and 1.16 times more ER visits than non-exposed adults. Annual SHS-attributable healthcare costs totaled $4.6 billion (including $3.8 billion for hospital nights and $0.8 billion for ER visits, 2014 dollars) in 2000, $2.1 billion (including $1.8 billion for hospital nights and $0.3 billion for ER visits) in 2005, and $1.9 billion (including $1.6 billion for hospital nights and $0.4 billion for ER visits) in 2010. CONCLUSIONS: SHS-attributable costs remain high, but have fallen over time. Tobacco control efforts are needed to further reduce SHS exposure at home and associated healthcare costs.

Socio-economic costs of indoor air pollution: A tentative estimation for some pollutants of health interest in France.

An evaluation of the socio-economic costs of indoor air pollution can facilitate the development of appropriate public policies. For the first time in France, such an evaluation was conducted for six selected pollutants: benzene, trichloroethylene, radon, carbon monoxide, particles (PM2.5 fraction), and environmental tobacco smoke (ETS). The health impacts of indoor exposure were either already available in published works or were calculated. For these calculations, two approaches were followed depending on the available data: the first followed the principles of quantitative health risk assessment, and the second was based on concepts and methods related to the health impact assessment. For both approaches, toxicological data and indoor concentrations related to each target pollutant were used. External costs resulting from mortality, morbidity (life quality loss) and production losses attributable to these health impacts were assessed. In addition, the monetary costs for the public were determined. Indoor pollution associated with the selected pollutants was estimated to have cost approximately €20 billion in France in 2004. Particles contributed the most to the total cost (75%), followed by radon. Premature death and the costs of the quality of life loss accounted for approximately 90% of the total cost. Despite the use of different methods and data, similar evaluations previously conducted in other countries yielded figures within the same order of magnitude.

Low-Cost Air Quality Monitoring Methods to Assess Compliance With Smoke-Free Regulations: A Multi-Center Study in Six Low- and Middle-Income Countries.

INTRODUCTION: Many low- and middle-income countries (LMICs) have enacted legislation banning smoking in public places, yet enforcement remains challenging. The aim of this study was to assess the feasibility of using a validated low-cost methodology (the Dylos DC1700) to provide objective evidence of smoke-free (SF) law compliance in hospitality venues in urban LMIC settings, where outdoor air pollution levels are generally high. METHODS: Teams measured indoor fine particulate matter (PM2.5) concentrations and systematically observed smoking behavior and SF signage in a convenience sample of hospitality venues (bars, restaurants, cafes, and hotels) covered by existing SF legislation in Mexico, Pakistan, Indonesia, Chad, Bangladesh, and India. Outdoor air PM2.5 was also measured on each sampling day. RESULTS: Data were collected from 626 venues. Smoking was observed during almost one-third of visits with substantial differences between countries-from 5% in India to 72% in Chad. After excluding venues where other combustion sources were observed, secondhand smoke (SHS) derived PM2.5 was calculated by subtracting outdoor ambient PM2.5 concentrations from indoor measurements and was, on average, 34 µg/m(3) in venues with observed smoking-compared to an average value of 0 µg/m(3) in venues where smoking was not observed (P < .001). In over one-quarter of venues where smoking was observed the difference between indoor and outdoor PM2.5 concentrations exceeded 64 µg/m(3). CONCLUSIONS: This study suggests that low-cost air quality monitoring is a viable method for improving knowledge about environmental SHS and can provide indicative data on compliance with local and national SF legislation in hospitality venues in LMICs. IMPLICATIONS: Air quality monitoring can provide objective scientific data on SHS and air quality levels in venues to assess the effectiveness of SF laws and identify required improvements. Equipment costs and high outdoor air pollution levels have hitherto limited application in LMICs. This study tested the feasibility of using a validated low-cost methodology in hospitality venues in six LMIC urban settings and suggests this is a viable method for improving knowledge about SHS exposure and can provide indicative data on compliance with SF legislation.

Socioeconomic Inequalities in Secondhand Smoke Exposure at Home and at Work in 15 Low- and Middle-Income Countries.

INTRODUCTION: In high-income countries, secondhand smoke (SHS) exposure is higher among disadvantaged groups. We examine socioeconomic inequalities in SHS exposure at home and at workplace in 15 low- and middle-income countries (LMICs). METHODS: Secondary analyses of cross-sectional data from 15 LMICs participating in Global Adult Tobacco Survey (participants ≥ 15 years; 2008-2011) were used. Country-specific analyses using regression-based methods were used to estimate the magnitude of socioeconomic inequalities in SHS exposure: (1) Relative Index of Inequality and (2) Slope Index of Inequality. RESULTS: SHS exposure at home ranged from 17.4% in Mexico to 73.1% in Vietnam; exposure at workplace ranged from 16.9% in Uruguay to 65.8% in Bangladesh. In India, Bangladesh, Thailand, Malaysia, Philippines, Vietnam, Uruguay, Poland, Turkey, Ukraine, and Egypt, SHS exposure at home reduced with increasing wealth (Relative Index of Inequality range: 1.13 [95% confidence interval [CI] 1.04-1.22] in Turkey to 3.31 [95% CI 2.91-3.77] in Thailand; Slope Index of Inequality range: 0.06 [95% CI 0.02-0.11] in Turkey to 0.43 [95% CI 0.38-0.48] in Philippines). In these 11 countries, and in China, SHS exposure at home reduced with increasing education. In India, Bangladesh, Thailand, and Philippines, SHS exposure at workplace reduced with increasing wealth. In India, Bangladesh, Thailand, Philippines, Vietnam, Poland, Russian Federation, Turkey, Ukraine, and Egypt, SHS exposure at workplace reduced with increasing education. CONCLUSION: SHS exposure at homes is higher among the socioeconomically disadvantaged in the majority of LMICs studied; at workplaces, exposure is higher among the less educated. Pro-equity tobacco control interventions alongside targeted efforts in these groups are recommended to reduce inequalities in SHS exposure. IMPLICATIONS: SHS exposure is higher among the socioeconomically disadvantaged groups in high-income countries. Comprehensive smoke-free policies are pro-equity for certain health outcomes that are strongly influenced by SHS exposure. Using nationally representative Global Adult Tobacco Survey (2008-2011) data from 15 LMICs, we studied socioeconomic inequalities in SHS exposure at homes and at workplaces. The study showed that in most LMICs, SHS exposure at homes is higher among the poor and the less educated. At workplaces, SHS exposure is higher among the less educated groups. Accelerating implementation of pro-equity tobacco control interventions and strengthening of efforts targeted at the socioeconomically disadvantaged groups are needed to reduce inequalities in SHS exposure in LMICs.

Integrating Tobacco Use Treatment Into Practice: Billing and Documentation.

Balancing population-based efforts to modify the social and environmental factors that promote tobacco dependence with efforts to improve the delivery of case-based treatments is necessary for realizing maximum reductions in the cost and consequences of the disease. Public health antismoking campaigns following the 1964 Surgeon General's report on the health risks of smoking have changed social norms, prevented initiation among youth, and promoted abstinence among the addicted. However, the rate of progress enjoyed to date is unlikely to continue into the coming decades, given that current annual unassisted cessation rates among prevalent smokers remains fairly low. With more than 1 billion patient interactions annually, there is an enormous unrealized capacity for health-care systems to have an effect on this problem. Clinicians report a perceived lack of reimbursement as a significant barrier to full integration of tobacco dependence into health care. A more complete understanding of the coding and documentation requirements for successful practice in this critically important area is a prerequisite to increasing engagement. This paper presents several case-based scenarios illustrating important practice management issues related to the treatment of tobacco dependence in health care.

Costes derivados del uso de servicios sanitarios y bajas laborales en pacientes fumadores: estudio en una comunidad urbana / Health care costs and work absenteeism in smokers: study in an urban community

Introducción: La mayor morbilidad ocasionada por el tabaquismo puede generar un incremento del coste sanitario. Analizamos la existencia de diferencias en el uso de recursos sanitarios, gasto sanitario y bajas laborales entre pacientes fumadores y no fumadores. Métodos: Estudio observacional transversal en pacientes fumadores y no fumadores de edad entre 45 y 74 años atendidos en una zona de salud urbana. Variables estudiadas: edad, sexo, consumo de alcohol, actividad física, obesidad, presencia de enfermedades, frecuentación a las consultas de atención primaria e interconsultas, asistencia a urgencias hospitalarias, días de hospitalización, consumo de fármacos y días de baja laboral. Se calculó el coste anual según el coste unitario de cada servicio (costes directos) y los costes indirectos según el número de días de baja. Se calcularon los riesgos crudos y ajustados mediante regresión logística. Resultados: Se analizaron 500 pacientes, el 50% fueron fumadores; 74% (372) hombres, 26% (128) mujeres. Los pacientes fumadores utilizaron más recursos sanitarios, consumieron más fármacos y tuvieron más días de baja laboral que los no fumadores. Los costes directos e indirectos en fumadores fueron respectivamente 848,64 euros (IQ 25-75: 332,65-1517,10) y 2.253,90 (IQ 25-75: 1.024,50-13.113,60); y en no fumadores 474,71 euros (IQ 25-75: 172,88-979,59) y 1.434,30 euros (IQ 25-75: 614,70-4.712,70); ser fumador incrementó más del doble la probabilidad de tener coste sanitario elevado (OR = 2,14; IC 95%: 1,44-3,19). Conclusión: Invertir más recursos en la prevención y el tratamiento del tabaquismo como una prioridad de política sanitaria contribuiría a la reducción en el medio plazo del sobrecoste que supone el consumo de tabaco

Introduction: Higher morbidity caused by smoking-related diseases could increase health costs. We analyzed differences in the use of healthcare resources, healthcare costs and days of work absenteeism among smokers and non-smokers. Methods: Cross-sectional study in smokers and non-smokers, aged between 45 and 74 years, from one urban health area. The variables studied were: age, sex, alcohol intake, physical activity, obesity, diseases, attendance at primary care clinics and hospital emergency rooms, days of hospitalization, prescription drug consumption and work absenteeism (in days). Annual cost according to the unit cost of each service (direct costs), and indirect costs according to the number of days missed from work was calculated. Crude and adjusted risks were calculated using logistic regression. Results: Five hundred patients were included: 50% were smokers, 74% (372) men and 26% (128) women. Smokers used more healthcare resources, consumed more prescription drugs and had more days off work than non-smokers. Respective direct and indirect costs in smokers were 848.64 euros (IQ 25-75: 332.65-1517.10) and 2253.90 euros (IQ 25-75: 1024.50-13113.60), and in non-smokers were 474.71 euros (IQ 25-75: 172.88-979.59) and 1434.30 euros (IQ 25-75: 614.70-4712.70). The likelihood of generating high healthcare costs was more than double for smokers (OR = 2.14; 95% CI: 1.44-3.19). Conclusion: More investment in programs for the prevention and treatment of smoking, as a health policy priority, could help to reduce the health and social costs of smoking

Tabaquismo pasivo en la infancia: programación de la adicción a la nicotina / No disponible

No disponible

Smoking bans, cigarette prices and life satisfaction.

The consequences of tobacco control policies for individual welfare are difficult to assess, even more so when related consumption choices challenge people's willpower. We therefore evaluate the impact of smoking bans and cigarette prices on subjective well-being by analyzing data for 40 European countries and regions between 1990 and 2011. We exploit the staggered introduction of bans and apply an imputation strategy to study the effect of anti-smoking policies on people with different propensities to smoke. We find that higher cigarette prices reduce the life satisfaction of likely smokers. Overall, smoking bans are barely related to subjective well-being, but increase the life satisfaction of smokers who would like to quit smoking. The latter finding is consistent with cue-triggered models of addiction and the idea of bans as self-control devices.

The economic burden of exposure to secondhand smoke for child and adult never smokers residing in U.S. public housing.

OBJECTIVE: The World Health Organization (WHO) reports that nonsmokers experience disease and death due to secondhand smoke (SHS) exposure in the home. We estimated the total excess burden and costs to society due to SHS exposure in U.S. public housing. METHODS: We quantified the public health burden for outcomes causally related to SHS exposure for nationally representative never-smoking residents in U.S. public housing using (1) WHO-recommended health outcomes and methodology, (2) publicly available and other large databases, and (3) published estimates of morbidity and mortality rates. We used published estimates of direct medical and nonmedical care costs and the value of productivity losses to estimate SHS-related societal costs for disease and death. We estimated the public health and economic burden for two serum cotinine limits of detection (LODs): 0.05 nanograms per milliliter (ng/mL) and 0.015 ng/mL. RESULTS: In 2011, an estimated 37,791 never-smoking child and adult U.S. public housing residents experienced illness and death due to SHS exposure at home based on an LOD=0.05 ng/mL (50,967 residents at LOD=0.015 ng/mL). Costs incurred by society for these illnesses and deaths totaled $183 million (LOD=0.05 ng/mL) and $267 million (LOD=0.015 ng/mL) annually. Of the total costs, direct costs (medical and nonmedical) accounted for $128 million and $176 million for LOD=0.05 ng/mL and LOD=0.015 ng/mL, respectively. Medical care accounted for the majority of direct costs-$110 million at LOD=0.05 ng/mL and $153 million at LOD=0.015 ng/mL. Adverse respiratory health outcomes accounted for approximately one-half (56% at LOD=0.05 ng/mL and 52% at LOD=0.015 ng/mL) of total societal costs. CONCLUSION: Implementing smoke-free policies in all U.S. public housing could save lives and decrease SHS-related morbidity and mortality in never-smoking residents, resulting in annual societal savings of $183 million at LOD=0.05 ng/mL and $267 million at LOD=0.015 ng/mL.