Appalachian disparities in tobacco cessation treatment utilization in Medicaid.

BACKGROUND: Kentucky Medicaid enrollees, particularly those in the rural Appalachian region, face disproportionate smoking rates and tobacco-related disease burden relative to the rest of the United States (US). The Affordable Care Act (ACA) mandated tobacco cessation treatment coverage by the US public health insurance program Medicaid. Medicaid coverage was also expanded in Kentucky, in 2013, with laxer income eligibility requirements. This short report describes tobacco use incidence and tobacco cessation treatment utilization, comparing by Appalachian status before and after ACA-mandated cessation treatment coverage. METHODS: The study design was a retrospective cross-sectional analysis from 2013 to 2015. Subjects were Medicaid enrollees with 1) diagnosis of any tobacco use (2013 n = 541,349; 2014 n = 864,183; 2015 n = 1,090,274); and/or (2) procedure claim for tobacco cessation counseling, and/or (3) pharmaceutical claim for varenicline or any nicotine replacement product. Primary measures included tobacco use incidence and proportion of users receiving cessation treatment. Analysis was via chi square testing of change by year. RESULTS: Overall, the proportion of tobacco users utilizing cessation treatment decreased (4.75% tobacco users in 2013; 3.15% in 2015). Tobacco users receiving counseling decreased from 2.06% pre-ACA (2013) to 1.06% post-ACA (2015, p < 0.001), as did the proportion receiving nicotine replacement products post-ACA (2.69% in 2013 to 1.55% by 2015; p < 0.001). More Appalachians received cessation treatment than non-Appalachians in 2013 (2.72% vs. 2.03%), but by 2015 non-Appalachians received more treatment overall (1.50% vs. 1.65%; p < 0.001). Appalachians received more counseling and NRT, but less varenicline, than non-Appalachians. CONCLUSIONS: Utilization of all forms of tobacco cessation treatment throughout Kentucky, and particularly in rural Appalachia, remained limited despite Medicaid enrollment as well as coverage expansions. These findings suggest that barriers persist in access to tobacco cessation treatment for individuals in Medicaid.

Living Independent From Tobacco reduces cigarette smoking and improves general health status among long-term tobacco users with disabilities.

BACKGROUND: People with disabilities disproportionately use tobacco and suffer associated negative health consequences. Research is needed to explore tobacco cessation programming for people with disabilities to counter these health disparities. OBJECTIVE: We evaluated the impact of Living Independent From Tobacco on tobacco use, knowledge and attitudes about tobacco use, coping skills, and perceived health status among people with disabilities. We also assessed participants' subjective impressions at post-test. METHODS: Living Independent From Tobacco was evaluated via train the trainer model at three Midwestern sites serving people with disabilities. Outcomes were assessed at four time points: pre- and post-test (n = 30), and again at 1-month (n = 26) and 6-months (n = 13). RESULTS: Long-term tobacco users with disabilities significantly reduced tobacco use from pre-test to post-test (p = 0.003), and, compared to baseline, this reduction continued to be significant 1-month after the intervention (p = 0.02). From pre-test to post-test, perceived health status significantly improved (p = 0.0001). No significant changes were observed across time points for knowledge and attitudes about tobacco use nor for coping skills. Qualitative data revealed the importance of coping skills to mitigate the negative effects of nicotine withdrawal. Peer accountability was also noted as an important source of motivation for tobacco cessation. CONCLUSIONS: Data from the present study provide evidence for the short-term effectiveness of Living Independent From Tobacco to reduce tobacco use and improve health status among people with disabilities. Qualitative data revealed the importance of coping skills and peer accountability to support tobacco cessation. Implications for tobacco cessation programming for people with disabilities are discussed.

Tobacco Cessation in Affordable Care Act Medicaid Expansion States Versus Non-expansion States.

INTRODUCTION: Community health centers (CHCs) care for vulnerable patients who use tobacco at higher than national rates. States that expanded Medicaid eligibility under the Affordable Care Act (ACA) provided insurance coverage to tobacco users not previously Medicaid-eligible, thereby potentially increasing their odds of receiving cessation assistance. We examined if tobacco users in Medicaid expansion states had increased quit rates, cessation medications ordered, and greater health care utilization compared to patients in non-expansion states. METHODS: Using electronic health record (EHR) data from 219 CHCs in 10 states that expanded Medicaid as of January 1, 2014, we identified patients aged 19-64 with tobacco use status documented in the EHR within 6 months prior to ACA Medicaid expansion and ≥1 visit with tobacco use status assessed within 24 months post-expansion (January 1, 2014 to December 31, 2015). We propensity score matched these patients to tobacco users from 108 CHCs in six non-expansion states (n = 27 670 matched pairs; 55 340 patients). Using a retrospective observational cohort study design, we compared odds of having a quit status, cessation medication ordered, and ≥6 visits within the post-expansion period among patients in expansion versus non-expansion states. RESULTS: Patients in expansion states had increased adjusted odds of quitting (adjusted odds ratio [aOR] = 1.35, 95% confidence interval [CI]: 1.28-1.43), having a medication ordered (aOR = 1.53, 95% CI: 1.44-1.62), and having ≥6 follow-up visits (aOR = 1.34, 95% CI: 1.28-1.41) compared to patients from non-expansion states. CONCLUSIONS: Increased access to insurance via the ACA Medicaid expansion likely led to increased quit rates within this vulnerable population. IMPLICATIONS: CHCs care for vulnerable patients at higher risk of tobacco use than the general population. Medicaid expansion via the ACA provided insurance coverage to a large number of tobacco users not previously Medicaid-eligible. We found that expanded insurance coverage was associated with increased cessation assistance and higher odds of tobacco cessation. Continued provision of insurance coverage could lead to increased quit rates among high-risk populations, resulting in improvements in population health outcomes and reduced total health care costs.

Impact of tax and tobacco-free generation on health-adjusted life years in the Solomon Islands: a multistate life table simulation.

OBJECTIVE: To estimate health-adjusted life years (HALY) gained in the Solomon Islands for the 2016 population over the remainder of their lives, for three interventions: hypothetical eradication of cigarettes; 25% annual tax increases to 2025 such that tax represents 70% of sales price of tobacco; and a tobacco-free generation (TFG). DESIGN: We adapted an existing multistate life table model, using Global Burden of Disease (GBD) and other data inputs, including diseases contributing >5% of the GBD estimated disability-adjusted life years lost in the Solomon Islands in 2016. Tax effects used price increases and price elasticities to change cigarette smoking prevalence. The TFG was modelled by no uptake of smoking among those 20 years and under after 2016. RESULTS: Under business as usual (BAU) smoking prevalence decreased over time, and decreased faster under the tax intervention (especially for younger ages). For example, for 20-year-old males the best estimated prevalence in 2036 was 22.9% under BAU, reducing to 14.2% under increased tax. Eradicating tobacco in 2016 would achieve 1510 undiscounted HALYs per 1000 people alive in 2016, over the remainder of their lives. The tax intervention would achieve 370 HALYs per 1000 (24.5% of potential health gain), and the TFG 798 HALYs per 1000 people (52.5%). By time horizon, 10.5% of the HALY gains from tax and 8.0% from TFG occur from 2016 to 2036, and the remainder at least 20 years into the future. CONCLUSION: This study quantified the potential of two tobacco control policies over maximum health gains achievable through tobacco eradication in the Solomon Islands.

Efficacy of a group tobacco cessation behavioral intervention among tobacco users with concomitant mental illness in Kenya: protocol for a controlled clinical trial.

BACKGROUND: The rate of tobacco use among people with mental illness is nearly twice that of the general population. Psychotropic medications for tobacco cessation are relatively expensive for most Kenyans. Behavioral counseling and group therapy are effective lower cost strategies to promote tobacco cessation, yet have not been studied in Kenya among individuals with concomitant mental illness. METHODS/DESIGN: One hundred tobacco users with mental illness who were part of an outpatient mental health program in Nairobi, Kenya were recruited and allocated into intervention and control groups of the study (50 users in intervention group and 50 users in control group). Participants allocated to the intervention group were invited to participate in 1 of 5 tobacco cessation groups. The intervention group received the 5As (Ask, Advise, Assess, Assist and Arrange) and tobacco cessation group behavioral intervention, which included strategies to manage cravings and withdrawal, stress and anxiety, and coping with depression due to withdrawal; assertiveness training and anger management; reasons to quit, benefits of quitting and different ways of quitting. Individuals allocated to the control group received usual care. The primary outcome was tobacco cessation at 24 weeks, measured through cotinine strips. Secondary outcomes included number of quit attempts and health-related quality of life. DISCUSSION: This study will provide evidence to evaluate the efficacy and safety of a tobacco cessation group behavioral intervention among individuals with mental illness in Kenya, and to inform national and regional practice and policy. TRIAL REGISTRATION: Trial registration number: NCT04013724. Name of registry: ClinicalTrials.gov. URL of registry: https://register.clinicaltrials.gov Date of registration: 9 July 2019 (retrospectively registered). Date of enrolment of the first participant to the trial: 5th September 2017. Protocol version: 2.0.

Comparing in person and internet methods to recruit low-SES populations for tobacco control policy research.

Tobacco use and the associated consequences are much more prevalent among low-SES populations in the U.S. However, tobacco-based research often does not include these harder-to-reach populations. This paper compares the effectiveness and drawbacks of three methods of recruiting low-SES adult smokers in the Northeast. From a 5-year, [funding blinded] grant about impacts of graphic warning labels on tobacco products, three separate means of recruiting low-SES adult smokers emerged: 1) in person in the field with a mobile lab vehicle, 2) in person in the field with tablet computers, and 3) online via Amazon Mechanical Turk (MTurk). We compared each of these methods in terms of the resulting participant demographics and the "pros" and "cons" of each approach including quality control, logistics, cost, and engagement. Field-based methods (with a mobile lab or in person with a tablet) yielded a greater proportion of disadvantaged participants who could be biochemically verified as current smokers-45% of the field-based sample had an annual income of <$10,000 compared to 16% of the MTurk sample; 40-45% of the field-based sample did not complete high school compared to 2.6% of the MTurk sample. MTurk-based recruitment was substantially less expensive to operate (1/14th the cost of field-based methods) was faster, and involved less logistical coordination, though was unable to provide immediate biochemical verification of current smoking status. Both MTurk and field-based methods provide access to low-SES participants-the difference is the proportion and the degree of disadvantage. For research and interventions where either inclusion considerations or external validity with low-SES populations is critical, especially the most disadvantaged, our research supports the use of field-based methods. It also highlights the importance of adequate funding and time to enable the recruitment and participation of these harder-to-reach populations.

Trends in tobacco use and tobacco cessation counselling codes among Medicare beneficiaries, 2001-2014.

BACKGROUND: Analysis of Medicare data is often used to determine epidemiology, healthcare utilization and effectiveness of disease treatments. We were interested in whether Medicare data could be used to estimate prevalence of tobacco use. Currently, data regarding tobacco use is derived from Behavioral Risk Factor Surveillance System (BRFSS) survey data. We compare administrative claims data for tobacco diagnosis among Medicare beneficiaries to survey (BRFSS) estimates of tobacco use from 2001 to 2014. METHODS: Retrospective cross-sectional study comparing tobacco diagnoses using International Classification of Disease, Ninth Revision (ICD-9) codes for tobacco use in Medicare data to BRFSS data from 2001 to 2014 in adults age ≥ 65 years. Beneficiary data included age, gender, race, socioeconomic status, and comorbidities. Tobacco cessation counselling was also examined using Healthcare Common Procedure Coding System codes. RESULTS: The prevalence of Medicare enrollees aged ≥65 years who had a diagnosis of current tobacco use increased from 2.01% in 2001 to 4.8% in 2014, while the estimates of current tobacco use from BRFSS decreased somewhat (10.03% in 2001 vs. 8.77% in 2014). However, current tobacco use based on Medicare data remained well below the estimates from BRFSS. Use of tobacco cessation counselling increased over the study period with largest increases after 2010. CONCLUSIONS: The use of tobacco-related diagnosis codes increased from 2001 to 2014 in Medicare but still substantially underestimated the prevalence of tobacco use compared to BRFSS data.

Addressing Tobacco Cessation at Federally Qualified Health Centers: Current Practices & Resources.

This study assesses the current practices of Federally Qualified Health Centers (FQHCs) to address tobacco cessation with patients. A national sample of 112 FQHC medical directors completed the web-based survey. Frequently endorsed barriers to providing tobacco cessation services were: patients lacking insurance coverage (35%), limited transportation (27%), and variance in coverage of cessation services by insurance type (26%). Nearly 50% indicated that two or more tobacco cessation resources met the needs of their patients; 25% had one resource, and the remaining 25% had no resources. There were no differences among resource groups in the use of electronic health record (EHR) best-practice-alerts for tobacco use or in the perceived barriers to providing tobacco cessation assistance. Systems changes to harmonize coverage of tobacco assistance, such as broader accessibility to evidence-based cessation services could have a positive impact on the efforts of FQHCs to provide tobacco cessation assistance to their patients.

Correlates of tobacco quit attempts and missed opportunity for tobacco cessation among the adult population in India.

INTRODUCTION: Tobacco cessation is crucial to reduce tobacco-related diseases and premature deaths. Quitting efforts can be enhanced through brief routine interventions at health facilities because healthcare providers are highly trusted, resulting in stronger adherence to their advice. MATERIALS AND METHODS: This study used data on tobacco users aged 15-49 years (n = 93,522) collected as part of the fourth round of the National Family Health Survey (NFHS) 2015-16. Bivariate and multivariate analyses were carried out using STATA (version 13) to understand the socioeconomic and demographic correlates of tobacco quit attempts and advice to quit by healthcare providers. GIS map has been used to show inter-state variations in quit attempts and advice. RESULTS: Thirty per cent of the tobacco users were found to have attempted to quit tobacco. Education, mass media exposure, economic status, and chronic disease emerged as enablers, while alcohol use and social backwardness came out as barriers to quit attempts. Quit advice from the healthcare providers was found not to be given frequently (51%) and varied significantly by the socioeconomic and demographic profile of the users. Not all of the tobacco users attempting to quit had been advised to quit, indicating a missed opportunity to intervene and reinforce quitting at a health facility. CONCLUSIONS: Fewer attempts to quit among the adolescents, the less educated, and the users from the poorest households may increase the burden of tobacco-attributable diseases unless timely interventions are made. Better training of the healthcare providers in administering and recommending tobacco cessation and emphasizing on the value of cessation counselling is urgently required to enhance quitting practices and improve health.

Gender differences in utilization of services and tobacco cessation outcomes at a state quitline.

Research suggests that women may have poorer tobacco cessation outcomes than men; however, the literature is somewhat mixed. Less is known about gender differences in cessation within quitline settings. This study examined gender differences in the utilization of services (i.e., coaching sessions, pharmacotherapy) and tobacco cessation among callers to the Arizona Smokers' Helpline (ASHLine). The study sample included callers enrolled in ASHLine between January 2011 and June 2016. We tracked number of completed coaching sessions. At the 7-month follow-up, callers retrospectively reported use of cessation pharmacotherapy (gum, patch, or lozenge), as well as current tobacco use. Associations between gender and tobacco cessation were tested using logistic regression models. At month 7, 36.4% of women (3,277/9,004) and 40.3% of men (2,960/7,341) self-reported 30-day point prevalence abstinence. Compared to men, fewer women reported using pharmacotherapy (women: 71.4% vs. men: 73.6%, p = .01) and completed at least five coaching sessions (women: 35.1% vs. men: 38.5%, p < .01). After adjusting for baseline characteristics, women had significantly lower odds of reporting tobacco cessation than men (OR = 0.91, 95% CI: 0.84 to 0.99). However, after further adjustment for use of pharmacotherapy and coaching, there was no longer a significant relationship between gender and tobacco cessation (OR: 0.96, 95% CI: 0.87 to 1.06). Fewer women than men reported tobacco cessation. Women also had lower utilization of quitline cessation services. Although the magnitude of these differences were small, future research on improving the utilization of quitline services among women may be worth pursuing given the large-scale effects of tobacco.

Combat Readiness, Harm Aversion, and Promotion Eligibility: A Qualitative Study of U.S. Servicemembers Views on Tobacco Use and Control in the Military.

INTRODUCTION: More than half a century after the first Surgeon General's Report on Smoking and Tobacco Use, tobacco use remains the leading cause of preventable disease for the U.S. military. Military tobacco use impairs troop readiness, decreases productivity, reduces servicemember physical performance, and leads to chronic illness in veterans. The Department of Defense (DoD) spends considerable effort to maintain a combat ready force, and tobacco use is contradictory to these efforts. U.S. servicemember tobacco use is estimated to cost the federal government more than $6.5 billion annually. The uniqueness of military culture allows for innovative means of tobacco regulation and prevention. Our study examines the U.S. Navy cultural and servicemember perceptions to inform future tobacco control research and policies. MATERIALS AND METHODS: We developed a behavioral model of tobacco use from existing literature. Using this model as a theoretical framework, our study qualitatively examined tobacco use in the active duty Navy population stationed in Okinawa, Japan. Thirty one-on-one interviews were conducted with active duty servicemembers. Sessions were recorded, transcribed, and analyzed in MAXQDA12. RESULTS: Multiple military-specific themes were identified. Themes: (1) tobacco use is a "right," (2) the military may limit active duty servicemembers' rights, (3) tobacco restrictions are justified if they prevent harm to others, (4) tobacco restrictions are not widely enforced, (5) smoke breaks are viewed as a legitimate reason to rest at work, and (6) the benefit of tobacco is as a stimulant. Novel tobacco cessation techniques suggested by our study include: (1) expand the buddy system to create an artificial support network for tobacco cessation and (2) tie promotion eligibility to tobacco use. CONCLUSIONS: This qualitative study identifies military-specific themes from the tobacco user perspective that help to guide research and policy in reducing tobacco use among military servicemembers. Possible interventions suggested by our findings may include replacing tobacco breaks with fitness breaks to relieve workplace stress and support the culture of fitness, expanding the use of pharmacologic stimulants to replace tobacco when used to maintain alertness, and gathering social support for tobacco cessation from non-healthcare unit members. Further study is needed to elucidate the effectiveness of proposed interventions suggested by our findings, with the ultimate aim of policy changes within the military to optimize health and military readiness, while decreasing long-term health effects and costs of tobacco use.

Variation across Romania in the health impact of increasing tobacco taxation.

Background: Tobacco is the leading preventable cause of death globally and tobacco taxation is a cost-effective method of reducing tobacco use in countries and increasing revenue. However, without adequate enforcement some argue the risk of increasing illicit trade in cheap tobacco makes taxation ineffective. We explore this by testing sub-national variations in the impact of tobacco tax increases from 2009 to 2011, on seven smoking-related diseases in adults in Romania, to see if regions that are prone to cigarette smuggling due to bordering other countries see less benefit. Method: We use a pragmatic natural experiment study approach to analyse the study period 2009-15. Findings from hospital episodes data relating to smoking-attributable diseases are analysed for six regional subgroups which are compared according to border characteristics with other countries. Results: At a national level smoking-attributable diseases reduced over the study period especially around the tax increase years, with asthma showing the most significant decline. Sub-nationally there was no statistically significant correlation in variations between central regions and those bordering other countries. Conclusion: There is a reassuring decline in hospitalizations for smoking-related diseases associated with the tax increases, and no sub-national association with smuggling risk measured by variation in the size of this effect and regions that border other countries. More comprehensive and progressive tobacco control in Romania should be implemented in line with the WHO Framework Convention for Tobacco Control.

Evaluating the Impact of Eliminating Copayments for Tobacco Cessation Pharmacotherapy.

OBJECTIVES: We examined the impact of the Affordable Care Act-mandated elimination of tobacco cessation pharmacotherapy (TCP) copayments on patient use of TCP, overall and by income. METHODS: Electronic health record data captured any and combination (eg, nicotine gum plus patch) TCP use among adult smokers newly enrolled in Kaiser Permanente Northern California (KPNC). KPNC eliminated TCP copayments in 2015. We included current smokers newly enrolled in the first 6 months of 2014 (before copayment elimination, N=16,199) or 2015 (after elimination, N=16,469). Multivariable models estimated 1-year changes in rates of any TCP fill, and of combination TCP fill, and tested for differences by income (<$50k, $50≥75k, ≥$75k). Through telephone surveys in 2016 with a subset of smokers newly enrolled in 2014 (n=306), we assessed barriers to TCP use, with results stratified by income. RESULTS: Smokers enrolled in KPNC in 2015 versus 2014 were more likely to have a TCP fill (9.1% vs. 8.2%; relative risk, 1.19; 95% confidence interval, 1.11-1.27), and combination TCP fill, among those with any fill (42.3% vs. 37.9%; relative risk, 1.12; 95% confidence interval, 1.02-1.23); findings were stronger for low-income smokers. Low-income patients (<$50k) were less likely to report that clinicians discussed smoking treatments with them (58%) compared with higher income smokers ($50≥75k, 67%; ≥$75k, 83%), and were less aware that TCP was free (40% vs. 53% and 69%, respectively, P-values<0.05). CONCLUSIONS: The Affordable Care Act's copayment elimination was associated with a modest increase in TCP use and a greater effect among low-income smokers. Uptake may have been enhanced if promoted to patients directly and via providers.

Nearly Half Of Small Employers Using Tobacco Surcharges Do Not Provide Tobacco Cessation Wellness Programs.

The Affordable Care Act (ACA) allowed employer plans in the small-group marketplace to charge tobacco users up to 50 percent more for premiums-known as tobacco surcharges-but only if the employer offered a tobacco cessation program and the employee in question failed to participate in it. Using 2016 survey data collected by the Henry J. Kaiser Family Foundation and Health Research and Educational Trust on 278 employers eligible for Small Business Health Options Program, we examined the prevalence of tobacco surcharges and tobacco cessation programs in the small-group market under this policy and found that 16.2 percent of small employers used tobacco surcharges. Overall, 47 percent of employers used tobacco surcharges but failed to offer tobacco cessation counseling. Wellness program prevalence was lower in states that allowed tobacco surcharges, and 10.8 percent of employers in these states were noncompliant with the ACA by charging tobacco users higher premiums without offering cessation programs. Efforts should be undertaken to improve the monitoring and enforcement of ACA tobacco rating rules.

Future Health and Economic Impact of Comprehensive Tobacco Control in DoD: A Microsimulation Approach.

Background: Tobacco use is a major concern to the Military Health System of the Department of Defense (DoD). The 2011 DoD Health Related Behavior Survey reported that 24.5% of active duty personnel are current smokers, which is higher than the national estimate of 20.6% for the civilian population. Overall, it is estimated that tobacco use costs the DoD $1.6 billion a year through related medical care, increased hospitalization, and lost days of work, among others. Methods: This study evaluated future health outcomes of Tricare Prime beneficiaries aged 18-64 yr (N = 3.2 million, including active duty and retired military members and their dependents) and the potential economic impact of initiatives that DoD may take to further its effort to transform the military into a tobacco-free environment. Our analysis simulated the future smoking status, risk of developing 25 smoking-related diseases, and associated medical costs for each individual using a Markov Chain Monte Carlo microsimulation model. Data sources included Tricare administrative data, national data such as Centers for Disease Control and Prevention mortality data and National Cancer Institute's cancer registry data, as well as relative risks of diseases obtained from a literature review. Findings: We found that the prevalence of active smoking among the Tricare Prime population will decrease from about 24% in 2015 to 18% in 2020 under a status quo scenario. However, if a comprehensive tobacco control initiative that includes a 5% price increase, a tighter clean air policy, and an intensified media campaign were to be implemented between 2016 and 2020, the prevalence of smoking could further decrease to 16%. The near 2 percentage points reduction in smoking prevalence represents an additional 81,240 quitters and translates to a total lifetime medical cost savings (in 2016 present value) of $968 million, with 39% ($382 million) attributable to Tricare savings. Discussion: A comprehensive tobacco control policy within the DoD could significantly decrease the prevalence and lifetime medical cost of tobacco use. If the smoking prevalence among Prime beneficiaries could reach the Healthy People 2020 goal of 12%, through additional measures, the lifetime savings could mount to $2.08 billion. To achieve future savings, DoD needs to pay close attention to program design and implementation issues of any additional tobacco control initiatives.

Using non-communicable disease clinics for tobacco cessation: A promising perspective.

Globally, non-communicable diseases (NCDs) are responsible for 38 million (68%) of the world's 56 million deaths, of which 28 million occur in low- and middle-income countries. Tobacco use is a major preventable and modifiable behavioural risk factor for NCDs. It takes annually a toll of over 7 million people and by 2030, it is anticipated to kill over 8 million people every year. Internationally, WHO has advocated the Framework Convention on Tobacco Control and MPOWER policy to combat the tobacco epidemic. As part of its global commitment towards tobacco control, the Government of India has enacted a comprehensive law, namely Cigarette and Other Tobacco Products Act, in 2003, for governing tobacco control in the country followed by launching of the National Tobacco Control Programme for its effective implementation along with strengthening of tobacco cessation facilities at national and sub-national levels. As per the National Programme for Prevention and Control of Cancers, Diabetes, Cardiovascular Diseases and Stroke, there is a provision of screening of risk factors for NCDs (including tobacco) besides providing treatment and behavioural advice for NCDs. However, presently, tobacco cessation services for NCD patients are under-utilized, probably due to lack of a skilled and dedicated workforce. Delivery of effective patient-centric, disease-specific, culturally sensitive tobacco cessation services at an NCD clinic might efficiently reduce complications of NCDs among patients using tobacco and might further reduce morbidity and mortality attributable to NCDs in India.

Medicaid Coverage Expansions and Cigarette Smoking Cessation Among Low-income Adults.

INTRODUCTION: Expanding Medicaid coverage to low-income adults may have increased smoking cessation through improved access to evidence-based treatments. Our study sought to determine if states' decisions to expand Medicaid increased recent smoking cessation. METHODS: Using pooled cross-sectional data from the Behavioral Risk Factor Surveillance Survey for the years 2011-2015, we examined the association between state Medicaid coverage and the probability of recent smoking cessation among low-income adults without dependent children who were current or former smokers (n=36,083). We used difference-in-differences estimation to examine the effects of Medicaid coverage on smoking cessation, comparing low-income adult smokers in states with Medicaid coverage to comparable adults in states without Medicaid coverage, with ages 18-64 years to those ages 65 years and above. Analyses were conducted for the full sample and stratified by sex. RESULTS: Residence in a state with Medicaid coverage among low-income adult smokers ages 18-64 years was associated with an increase in recent smoking cessation of 2.1 percentage points (95% confidence interval, 0.25-3.9). In the comparison group of individuals ages 65 years and above, residence in a state with Medicaid coverage expansion was not associated with a change in recent smoking cessation (-0.1 percentage point, 95% confidence interval, -2.1 to 1.8). Similar increases in smoking cessation among those ages 18-64 years were estimated for females and males (1.9 and 2.2 percentage point, respectively). CONCLUSION: Findings are consistent with the hypothesis that Medicaid coverage expansions may have increased smoking cessation among low-income adults without dependent children via greater access to preventive health care services, including evidence-based smoking cessation services.

Healthcare financing systems for increasing the use of tobacco dependence treatment.

BACKGROUND: Tobacco smoking is the leading preventable cause of death worldwide, which makes it essential to stimulate smoking cessation. The financial cost of smoking cessation treatment can act as a barrier to those seeking support. We hypothesised that provision of financial assistance for people trying to quit smoking, or reimbursement of their care providers, could lead to an increased rate of successful quit attempts. This is an update of the original 2005 review. OBJECTIVES: The primary objective of this review was to assess the impact of reducing the costs for tobacco smokers or healthcare providers for using or providing smoking cessation treatment through healthcare financing interventions on abstinence from smoking. The secondary objectives were to examine the effects of different levels of financial support on the use or prescription of smoking cessation treatment, or both, and on the number of smokers making a quit attempt (quitting smoking for at least 24 hours). We also assessed the cost effectiveness of different financial interventions, and analysed the costs per additional quitter, or per quality-adjusted life year (QALY) gained. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialised Register in September 2016. SELECTION CRITERIA: We considered randomised controlled trials (RCTs), controlled trials and interrupted time series studies involving financial benefit interventions to smokers or their healthcare providers, or both. DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and assessed the quality of the included studies. We calculated risk ratios (RR) for individual studies on an intention-to-treat basis and performed meta-analysis using a random-effects model. MAIN RESULTS: In the current update, we have added six new relevant studies, resulting in a total of 17 studies included in this review involving financial interventions directed at smokers or healthcare providers, or both.Full financial interventions directed at smokers had a favourable effect on abstinence at six months or longer when compared to no intervention (RR 1.77, 95% CI 1.37 to 2.28, I² = 33%, 9333 participants). There was no evidence that full coverage interventions increased smoking abstinence compared to partial coverage interventions (RR 1.02, 95% CI 0.71 to 1.48, I² = 64%, 5914 participants), but partial coverage interventions were more effective in increasing abstinence than no intervention (RR 1.27 95% CI 1.02 to 1.59, I² = 21%, 7108 participants). The economic evaluation showed costs per additional quitter ranging from USD 97 to USD 7646 for the comparison of full coverage with partial or no coverage.There was no clear evidence of an effect on smoking cessation when we pooled two trials of financial incentives directed at healthcare providers (RR 1.16, CI 0.98 to 1.37, I² = 0%, 2311 participants).Full financial interventions increased the number of participants making a quit attempt when compared to no interventions (RR 1.11, 95% CI 1.04 to 1.17, I² = 15%, 9065 participants). There was insufficient evidence to show whether partial financial interventions increased quit attempts compared to no interventions (RR 1.13, 95% CI 0.98 to 1.31, I² = 88%, 6944 participants).Full financial interventions increased the use of smoking cessation treatment compared to no interventions with regard to various pharmacological and behavioural treatments: nicotine replacement therapy (NRT): RR 1.79, 95% CI 1.54 to 2.09, I² = 35%, 9455 participants; bupropion: RR 3.22, 95% CI 1.41 to 7.34, I² = 71%, 6321 participants; behavioural therapy: RR 1.77, 95% CI 1.19 to 2.65, I² = 75%, 9215 participants.There was evidence that partial coverage compared to no coverage reported a small positive effect on the use of bupropion (RR 1.15, 95% CI 1.03 to 1.29, I² = 0%, 6765 participants). Interventions directed at healthcare providers increased the use of behavioural therapy (RR 1.69, 95% CI 1.01 to 2.86, I² = 85%, 25820 participants), but not the use of NRT and/or bupropion (RR 0.94, 95% CI 0.76 to 1.18, I² = 6%, 2311 participants).We assessed the quality of the evidence for the main outcome, abstinence from smoking, as moderate. In most studies participants were not blinded to the different study arms and researchers were not blinded to the allocated interventions. Furthermore, there was not always sufficient information on attrition rates. We detected some imprecision but we judged this to be of minor consequence on the outcomes of this study. AUTHORS' CONCLUSIONS: Full financial interventions directed at smokers when compared to no financial interventions increase the proportion of smokers who attempt to quit, use smoking cessation treatments, and succeed in quitting. There was no clear and consistent evidence of an effect on smoking cessation from financial incentives directed at healthcare providers. We are only moderately confident in the effect estimate because there was some risk of bias due to a lack of blinding in participants and researchers, and insufficient information on attrition rates.

A Novel Public Health Approach to Measuring Tobacco Cessation Needs Among Cancer Survivors in Alaska.

Cancer survivors who continue to smoke have poorer response to treatment, higher risk for future cancers and lower survival rates than those who quit tobacco after diagnosis. Despite the increased risk for negative health outcomes, tobacco use among Alaskan cancer survivors is 19%, among the highest in the nation. To characterize and address tobacco cessation needs among cancer survivors who called a quit line for help in quitting tobacco, Alaska's Comprehensive Cancer Control program initiated a novel partnership with the state's Tobacco Quit Line. Alaska's Tobacco Quit Line, a state-funded resource that provides confidential coaching, support, and nicotine replacement therapies for Alaskan adults who wish to quit using tobacco, was used to collect demographic characteristics, health behaviors, cessation referral methods and other information on users. From September 2013- December 2014, the Alaska Quit Line included questions about previous cancer status and other chronic conditions to assess this information from cancer survivors who continue to use tobacco. Alaska's Tobacco Quit Line interviewed 3,141 smokers, 129 (4%) of whom were previously diagnosed with cancer. Most cancer survivors who called in to the quit line were female (72%), older than 50 years of age (65%), white (67%), and smoked cigarettes (95%). Cancer survivors reported a higher prevalence of asthma, COPD and heart disease than the non-cancer cohort. Approximately 34% of cancer survivors were referred to the quit line by a health care provider. This report illustrates the need for health care provider awareness of persistent tobacco use among cancer survivors in Alaska. It also provides a sound methodologic design for assessing ongoing tobacco cessation needs among cancer survivors who call a quit line. This survey methodology can be adapted by other public health programs to address needs and increase healthy behaviors among individuals with chronic disease.

Availability of tobacco cessation services in substance use disorder treatment programs: Impact of state tobacco control policy.

OBJECTIVE: Given the high prevalence of smoking among substance use disorder (SUD) patients, the specialty SUD treatment system is an important target for adoption and implementation of tobacco cessation (TC) services. While research has addressed the impact of tobacco control on individual tobacco consumption, largely overlooked in the literature is the potential impact of state tobacco control policies on availability of services for tobacco cessation. This paper examines the association between state tobacco control policy and availability of TC services in SUD treatment programs in the United States. METHODS: State tobacco control and state demographic data (n=51) were merged with treatment program data from the 2012 National Survey of Substance Abuse Treatment Services (n=10.413) to examine availability of TC screening, counseling and pharmacotherapy services in SUD treatment programs using multivariate logistic regression models clustered at the state-level. RESULTS: Approximately 60% of SUD treatment programs offered TC screening services, 41% offered TC counseling services and 26% offered TC pharmacotherapy services. Results of multivariate logistic regression showed the odds of offering TC services were greater for SUD treatment programs located in states with higher cigarette excise taxes and greater spending on tobacco prevention and control. CONCLUSIONS: Findings indicate cigarette excise taxes and recommended funding levels may be effective policy tools for increasing access to TC services in SUD treatment programs. Coupled with changes to insurance coverage for TC under the Affordable Care Act, state tobacco control policy tools may further reduce tobacco use in the United States.