Browsing by Subject "tobacco"

Now showing 1 - 5 of 5

Open Access
E-Cigarette Use Among Adult Primary Care Patients: Results from a Multisite Study.
(Journal of general internal medicine, 2020-01) John, William S; Grover, Kiran; Greenblatt, Lawrence H; Schwartz, Robert P; Wu, Li-Tzy
BACKGROUND:Primary care settings provide opportunities to identify electronic-cigarette (e-cigarette) use and to implement strategies for changing tobacco use behavior. However, a better understanding of the extent and associated characteristics of e-cigarette use among primary care patients are needed to inform such efforts. OBJECTIVE:To describe patient demographic and substance use characteristics by e-cigarette use status among a large sample of primary care patients. To examine the prevalence and correlates of e-cigarette use among tobacco users in the sample. DESIGN:Cross-sectional analysis from a multisite validation study of a substance use screening instrument. PARTICIPANTS:Adult primary care patients aged 18 and older (n = 2000) recruited across 5 primary care clinics in the Eastern USA from 2014 to 2015. MAIN MEASURES:Patients reported past 3-month e-cigarette use, sociodemographics, tobacco use, and other substance use. Current nicotine dependence and DSM-5 criteria for past-year substance use disorders were also assessed. KEY RESULTS:Among the total sample, 7.7% (n = 154) adults reported past 3-month e-cigarette use. Adults who reported e-cigarette use (vs. no use) were more likely to be younger, white, or have frequent tobacco use, nicotine dependence, or past-year illicit drug use/disorders. Among past 3-month tobacco users, 16.3% reported e-cigarette use. Adjusted logistic regression indicated that odds of e-cigarette use were greater among tobacco users who had some college education or more (vs. < high school) or were daily/almost daily tobacco users (vs. not); odds were lower among Blacks/African-Americans (vs. whites). E-cigarette use among tobacco users was associated with increased odds of current nicotine dependence or tobacco use disorder as well as more severe dependence/disorder. CONCLUSIONS:Enhanced surveillance of e-cigarette use among adult tobacco users in primary care, particularly among those who use tobacco frequently, may have implications for helping patients with tobacco cessation using established approaches including behavioral support, pharmacotherapy, or referral to specialized care.
Open Access
Empirical measurement of illicit tobacco trade in the Philippines.
(Philipp Rev Econ, 2014-12) Abola, Victor; Sy, Deborah; Denniston, Ryan; So, Anthony
Cigarette smuggling reduces the price of cigarettes, thwarts youth access restrictions, reduces government revenue, and undercuts the ability of taxes to reduce consumption. The tobacco industry often opposes increases to tobacco taxes on the claim that greater taxes induce more smuggling. To date, little is known about the magnitude of smuggling in the Philippines. his information is necessary to effectively address illicit trade and to measure the impacts of tax changes and the introduction of secure tax markings on illicit trade. This study employs two gap discrepancy methods to estimate the magnitude of illicit trade in cigarettes for the Philippines between 1994 and 2009. First, domestic consumption is compared with tax-paid sales to measure the consumption of illicit cigarettes. Second, imports recorded by the Philippines are compared with exports to the Philippines by trade partners to measure smuggling. Domestic consumption fell short of tax-paid sales for all survey years. The magnitude of these differences and a comparison with a prevalence survey for 2009 suggest a high level of survey under-reporting of smoking. In the late 1990s and the mid 2000s, the Philippines experienced two sharp declines in trade discrepancies, from a high of $750 million in 1995 to a low of $133.7 million in 2008. Discrepancies composed more than one-third of the domestic market in 1995, but only 10 percent in 2009. Hong Kong, Singapore, and China together account for more than 80 percent of the cumulative discrepancies over the period and 74 percent of the discrepancy in 2009. The presence of large discrepancies supports the need to implement an effective tax marking and tobacco track and trace system to reduce illicit trade and support tax collection. The absence of a relation between tax changes and smuggling suggests that potential increases in the excise tax should not be discouraged by illicit trade. Finally, the identification of specific trade partners as primary sources for illicit trade may facilitate targeted efforts in cooperation with these governments to reduce illicit trade.
Open Access
Health benefits and economic advantages associated with increased utilization of a smoking cessation program.
(Journal of comparative effectiveness research, 2020-08-20) Datta, Santanu K; Dennis, Paul A; Davis, James M
Rationale, aim & objective: The goal of this study was to examine the health and economic impacts related to increased utilization of the Duke Smoking Cessation Program resulting from the addition of two relatively new referral methods - Best Practice Advisory and Population Outreach. Materials & methods: In a companion paper 'Comparison of Referral Methods into a Smoking Cessation Program', we report results from a retrospective, observational, comparative effectiveness study comparing the impact of three referral methods - Traditional Referral, Best Practice Advisory and Population Outreach on utilization of the Duke Smoking Cessation Program. In this paper we take the next step in this comparative assessment by developing a Markov model to estimate the improvement in health and economic outcomes when two referral methods - Best Practice Advisory and Population Outreach - are added to Traditional Referral. Data used in this analysis were collected from Duke Primary Care and Disadvantaged Care clinics over a 1-year period (1 October 2017-30 September 2018). Results: The addition of two new referral methods - Best Practice Advisory and Population Outreach - to Traditional Referral increased the utilization of the Duke Smoking Cessation Program in Primary Care clinics from 129 to 329 smokers and in Disadvantaged Care clinics from 206 to 401 smokers. The addition of these referral methods was estimated to result in 967 life-years gained, 408 discounted quality-adjusted life-years saved and total discounted lifetime direct healthcare cost savings of US$46,376,285. Conclusion: Health systems may achieve increased patient health and decreased healthcare costs by adding Best Practice Advisory and Population Outreach strategies to refer patients to smoking cessation services.
Open Access
Pilot Cohorts for Development of Concurrent Mobile Treatment for Alcohol and Tobacco Use Disorders.
(Substance abuse : research and treatment, 2021-01) Medenblik, Alyssa M; Calhoun, Patrick S; Maisto, Stephen A; Kivlahan, Daniel R; Moore, Scott D; Beckham, Jean C; Wilson, Sarah M; Blalock, Dan V; Dedert, Eric A
Alcohol and tobacco are the 2 most frequently used drugs in the United States and represent the highest co-occurrence of polysubstance use. The objective of this study was to refine an intervention combining mobile contingency management with cognitive-behavioral telephone counseling for concurrent treatment of alcohol and tobacco use disorders. Two cohorts (n = 13 total, n = 5 women) of participants were enrolled, with 10/13 completing treatment and 7/13 completing the 6-month follow-up. At enrollment, participants were drinking a mean of 28.9 drinks per week (SD = 14.1), with a mean of 14.7 heavy drinking days in the past month (SD = 9.9), and a mean of 18.1 cigarettes per day (SD = 11.7). Treatment included a mobile application that participants used to record carbon monoxide and breath alcohol content readings to bioverify abstinence. Participants received up to 4 sessions of phone cognitive-behavioral therapy and monetary reinforcement contingent on abstinence. In cohort 1, 4/6 participants reported abstinent or low-risk drinking post-monitoring. Six weeks post quit-date, 2/6 participants were CO-bioverified abstinent from tobacco use, with 2/6 in dual remission. These results were maintained at 6-months. In cohort 2, 6/7 reported abstinent or low-risk drinking post-monitoring, 5 weeks post quit-date. At the post-monitoring visit, 5/7 were CO-bioverified abstinent from smoking, with 5/7 in dual remission. At 6-months, 3/7 reporting abstinent or low-risk drinking, 1/7 had bioverified abstinence from smoking, with 1/7 in dual remission. Observations suggest that it is possible to develop a concurrent mobile treatment for alcohol and tobacco use disorders.
Open Access
Recent and active problematic substance use among primary care patients: Results from the alcohol, smoking, and substance involvement screening test in a multisite study.
(Substance abuse, 2021-04-02) John, William S; Zhu, He; Greenblatt, Lawrence H; Wu, Li-Tzy
Background: Primary care settings provide salient opportunities for identifying patients with problematic substance use and addressing unmet treatment need. The aim of this study was to examine the extent and correlates of problematic substance use by substance-specific risk categories among primary care patients to inform screening/intervention efforts. Methods: Data were analyzed from 2000 adult primary care patients aged ≥18 years (56% female) across 5 clinics in the eastern U.S. Participants completed the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Prevalence and ASSIST-defined risk-level of tobacco use, alcohol use, and nonmedical/illicit drug use was examined. Multinomial logistic regression models analyzed the demographic correlates of substance use risk-levels. Results: Among the total sample, the prevalence of any past 3-month use was 53.9% for alcohol, 42.0% for tobacco, 24.2% for any illicit/Rx drug, and 5.3% for opioids; the prevalence of ASSIST-defined moderate/high-risk use was 45.1% for tobacco, 29.0% for any illicit/Rx drug, 14.2% for alcohol, and 9.1% for opioids. Differences in the extent and risk-levels of substance use by sex, race/ethnicity, and age group were observed. Adjusted logistic regression showed that male sex, white race, not being married, and having less education were associated with increased odds of moderate/high-risk use scores for each substance category; older ages (versus ages 18-25 years) were associated with increased odds of moderate/high-risk opioid use. Conclusions: Intervention need for problematic substance use was prevalent in this sample. Providers should maintain awareness and screen for problematic substance use more consistently in identified high risk populations.