101
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Relating individual differences in nicotine dependence severity to underpinning motivational and pharmacological processes among smokers from vulnerable populations. Prev Med 2020; 140:106189. [PMID: 32628945 PMCID: PMC7680415 DOI: 10.1016/j.ypmed.2020.106189] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/08/2020] [Accepted: 06/28/2020] [Indexed: 02/07/2023]
Abstract
We examined whether elucidating underpinning smoking motivation and related pharmacological processes enhances understanding of nicotine dependence among smokers from vulnerable populations. Data were obtained between Oct, 2016 and Sept, 2019 from 745 adult smokers with co-morbid psychiatric conditions or socioeconomic disadvantage at University of Vermont, Brown University, Johns Hopkins University. Smoking motivation was assessed using the Cigarette Purchase Task (CPT), a behavioral-economic task that models the relative reinforcing value of smoking under varying monetary constraint. Dependence severity was measured using the Heaviness of Smoking Index (HSI), Fagerström Test for Nicotine Dependence total scores (FTND), and FTND total scores minus items 1 and 4 (FTND2,3,5,6). We also assessed associations between dependence severity and smoking motivation with nicotine levels and metabolism rate. Principal Component Analysis was used to examine the latent structure of the conventional five CPT indices; bivariate and multivariable modeling was used to test associations. Factor analysis resulted in a two-factor solution, Amplitude (demand unconstrained by price) and Persistence (price sensitivity). CPT latent factors were associated with each dependence-severity measure (ps ≤ 0.0001), with associations stronger for Amplitude than Persistence across each, especially HSI which was exclusively associated with Amplitude. Amplitude and each dependence measure were associated with nicotine intake (ps ≤ 0.0002); Persistence was not (p = .19). Demand Amplitude more than Persistence appears key to understanding individual differences in dependence severity. Regarding potential application, the results suggest a need for interventions that more effectively target demand Amplitude to make greater headway in reducing smoking in vulnerable populations. Trial Registration:clinicaltrials.gov identifiers: NCT02232737, NCT02250664, NCT02250534.
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102
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Hatsukami DK, Carroll DM. Tobacco harm reduction: Past history, current controversies and a proposed approach for the future. Prev Med 2020; 140:106099. [PMID: 32335031 PMCID: PMC7581601 DOI: 10.1016/j.ypmed.2020.106099] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 04/15/2020] [Accepted: 04/18/2020] [Indexed: 01/29/2023]
Abstract
Tobacco harm reduction remains a controversial topic in tobacco control. Tobacco harm reduction involves providing tobacco users who are unwilling or unable to quit using nicotine products with less harmful nicotine-containing products for continued use. The skepticism towards harm reduction is based in part on the experience with low-yield tar/nicotine cigarettes, which were presumed to be associated with lower health risks than higher yield cigarettes and marketed as such by cigarette manufacturers. Only later did the field learn that these cigarettes were a deceptive way for cigarette manufacturers to allay the health concerns over cigarette smoking. Since this experience, there has been a proliferation of tobacco products that might potentially serve as a means to reduce tobacco harm. Some members of the tobacco control community believe that these products have great potential to reduce mortality and morbidity among smokers who completely switch to them. Others believe that we will be addicting another generation to tobacco products. This paper reviews the past history, the current tobacco landscape and controversies, and an approach that might rapidly reduce the yearly half-million deaths associated with cigarette smoking in the U.S.
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Affiliation(s)
- Dorothy K Hatsukami
- Masonic Cancer Center and Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States.
| | - Dana M Carroll
- Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States
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103
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Leas EC, Nobles AL, Caputi TL, Dredze M, Zhu SH, Cohen JE, Ayers JW. News coverage of the E-cigarette, or Vaping, product use Associated Lung Injury (EVALI) outbreak and internet searches for vaping cessation. Tob Control 2020; 30:578-582. [PMID: 33051278 DOI: 10.1136/tobaccocontrol-2020-055755] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 05/27/2020] [Accepted: 06/03/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND In the latter half of 2019, an outbreak of pulmonary disease in the USA resulted in 2807 hospitalisations and 68 deaths, as of 18 February 2020. Given the severity of the outbreak, we assessed whether articles during the outbreak era more frequently warned about the dangers of vaping and whether internet searches for vaping cessation increased. METHODS Using Tobacco Watcher, a media monitoring platform that automatically identifies and categorises news articles from sources across the globe, we obtained all articles that (a) discussed the outbreak and (b) primarily warned about the dangers of vaping. We obtained internet search trends originating from the USA that mentioned 'quit' or 'stop' and 'e cig(s),' 'ecig(s),' 'e-cig(s),' 'e cigarette(s),' 'e-cigarette(s),' 'electronic cigarette(s),' 'vape(s),' 'vaping' or 'vaper(s)' from Google Trends (eg, 'how do I quit vaping?'). All data were obtained from 1 January 2014 to 18 February 2020 and ARIMA models were used with historical trends to forecast the ratio of observed to expected search volumes during the outbreak era. RESULTS News of the vaping-induced pulmonary disease outbreak was first reported on 25 July 2019 with 195 articles, culminating in 44 512 articles by 18 February 2020. On average, news articles warning about the dangers of vaping were 130% (95% prediction interval (PI): -15 to 417) and searches for vaping cessation were 76% (95% PI: 28 to 182) higher than expected levels for the days during the period when the sources of the outbreak were unknown (25 July to 27 September 2019). News and searches stabilised just after the US Centers for Disease Control and Prevention reported that a primary source of the outbreak was an additive used in marijuana vapes on 27 September 2019. In sum, there were 12 286 articles archived in Tobacco Watcher primarily warning about the dangers of vaping and 1 025 000 cessation searches following the outbreak. CONCLUSION The vaping-induced pulmonary disease outbreak spawned increased coverage about the dangers of vaping and internet searches for vaping cessation. Resources and strategies that respond to this elevated interest should become a priority among public health leaders.
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Affiliation(s)
- Eric C Leas
- School of Medicine, University of California San Diego, La Jolla, California, USA.,Center for Data Driven Health, Qualcomm Institute, La Jolla, California, USA
| | - Alicia L Nobles
- School of Medicine, University of California San Diego, La Jolla, California, USA.,Center for Data Driven Health, Qualcomm Institute, La Jolla, California, USA
| | - Theodore L Caputi
- University College Cork National University of Ireland, Cork, Ireland
| | - Mark Dredze
- Computer Science, Johns Hopkins University, Baltimore, Maryland, USA
| | - Shu-Hong Zhu
- School of Medicine, University of California San Diego, La Jolla, California, USA
| | - Joanna E Cohen
- Institute for Global Tobacco Control, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - John W Ayers
- School of Medicine, University of California San Diego, La Jolla, California, USA .,Center for Data Driven Health, Qualcomm Institute, La Jolla, California, USA
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104
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The role of physiotherapists in smoking cessation. J Physiother 2020; 66:207-210. [PMID: 33036933 DOI: 10.1016/j.jphys.2020.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 09/11/2020] [Accepted: 09/18/2020] [Indexed: 11/21/2022] Open
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105
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Huang Z, Li Z, Xu L, Wei C, Zhu C, Deng H, Peng H, Xia X, Chen W. Mechanistic Insight into a Novel Ultrasensitive Nicotine Assay Base on High-Efficiency Quenching of Gold Nanocluster Cathodic Electrochemiluminescence. Anal Chem 2020; 92:11438-11443. [PMID: 32691587 DOI: 10.1021/acs.analchem.0c02500] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Monitoring nicotine concentrations in human fluids is extremely crucial owing to the harmful effect of nicotine on human health. Herein, it is shown that nicotine could quench the cathodic electrochemiluminescence (ECL) of gold nanoclusters (AuNCs) with high efficiency. The ECL quenching mechanism of nicotine was studied in detail using various experimental tools and theoretical calculations. It was concluded that the strongly oxidizing intermediate SO4•-, produced from K2S2O8, could oxidized nicotine, resulting in ECL emission quenching. On the basis of this high-efficiency ECL quenching of the AuNCs/K2S2O8 system, a recyclable, ultrasensitive, and selective ECL sensing platform for nicotine detection was proposed. Even in the absence of any complex signal amplification techniques, the ECL sensor for nicotine detection showed an unprecedentedly low detection limit of 7.0 × 10-13 M (S/N = 3) and a wide linear range over 8 orders of magnitude. Most remarkably, it could be successfully used for nicotine detection in human urine samples. This is expected to promote the investigations and applications on nicotine-related diseases. We believe that the proposed ECL platform can hold great prospects for commercialization in biomedical fields and tobacco industries.
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Affiliation(s)
- Zhongnan Huang
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Zhenglian Li
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Luyao Xu
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Chaoguo Wei
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Chenting Zhu
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Haohua Deng
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Huaping Peng
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
| | - Xinghua Xia
- State Key Laboratory of Analytical Chemistry for Life Science and Collaborative Innovation Center of Chemistry for Life Sciences, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210093, China
| | - Wei Chen
- Higher Educational Key Laboratory for Nano Biomedical Technology of Fujian Province, Department of Pharmaceutical Analysis, Fujian Medical University, Fuzhou 350004, China
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106
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Icick R, Forget B, Cloëz-Tayarani I, Pons S, Maskos U, Besson M. Genetic susceptibility to nicotine addiction: Advances and shortcomings in our understanding of the CHRNA5/A3/B4 gene cluster contribution. Neuropharmacology 2020; 177:108234. [PMID: 32738310 DOI: 10.1016/j.neuropharm.2020.108234] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 06/28/2020] [Accepted: 07/07/2020] [Indexed: 12/12/2022]
Abstract
Over the last decade, robust human genetic findings have been instrumental in elucidating the heritable basis of nicotine addiction (NA). They highlight coding and synonymous polymorphisms in a cluster on chromosome 15, encompassing the CHRNA5, CHRNA3 and CHRNB4 genes, coding for three subunits of the nicotinic acetylcholine receptor (nAChR). They have inspired an important number of preclinical studies, and will hopefully lead to the definition of novel drug targets for treating NA. Here, we review these candidate gene and genome-wide association studies (GWAS) and their direct implication in human brain function and NA-related phenotypes. We continue with a description of preclinical work in transgenic rodents that has led to a mechanistic understanding of several of the genetic hits. We also highlight important issues with regards to CHRNA3 and CHRNB4 where we are still lacking a dissection of their role in NA, including even in preclinical models. We further emphasize the use of human induced pluripotent stem cell-derived models for the analysis of synonymous and intronic variants on a human genomic background. Finally, we indicate potential avenues to further our understanding of the role of this human genetic variation. This article is part of the special issue on 'Contemporary Advances in Nicotine Neuropharmacology'.
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Affiliation(s)
- Romain Icick
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; Département de Psychiatrie et de Médecine Addictologique, Groupe Hospitalier Saint-Louis, Lariboisière, Fernand Widal, Assistance-Publique Hôpitaux de Paris, Paris, F-75010, France; INSERM UMR-S1144, Paris, F-75006, France; FHU "NOR-SUD", Assistance-Publique Hôpitaux de Paris, Paris, F-75001, France
| | - Benoît Forget
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; Génétique Humaine et Fonctions Cognitives, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France
| | - Isabelle Cloëz-Tayarani
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; FHU "NOR-SUD", Assistance-Publique Hôpitaux de Paris, Paris, F-75001, France
| | - Stéphanie Pons
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; FHU "NOR-SUD", Assistance-Publique Hôpitaux de Paris, Paris, F-75001, France
| | - Uwe Maskos
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; FHU "NOR-SUD", Assistance-Publique Hôpitaux de Paris, Paris, F-75001, France
| | - Morgane Besson
- Neurobiologie Intégrative des Systèmes Cholinergiques, CNRS UMR3571, Institut Pasteur, 25 Rue du Dr Roux, 75724, Paris Cedex 15, France; FHU "NOR-SUD", Assistance-Publique Hôpitaux de Paris, Paris, F-75001, France.
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107
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Xiao Y, Chen S, Zhang G, Li Z, Xiao H, Chen C, He C, Zhang R, Yang X. Simple and rapid nicotine analysis using a disposable silica nanochannel-assisted electrochemiluminescence sensor. Analyst 2020; 145:4806-4814. [PMID: 32588848 DOI: 10.1039/d0an00588f] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Nicotine analysis is essential to medicine, toxicology and the tobacco industry. However, no simple, portable and disposable method was developed to meet their demands. Here, we report a simple, rapid and disposable silica nanochannel (SAN)-based electrochemiluminescence (ECL) sensor for nicotine analysis by simply assembling a SAN electrode with a paper cover. The sensing principle of the disposable sensor is based on the size exclusion effect and charge selectivity, which obviously prolong the sensor service time. We find that the sensor exhibits good specificity to nicotine, and most of the complex matrices are unlikely to impact the detection. The performance of the disposable sensor in cigarettes, e-cigarettes, nicotine gums, and lozenges is fully validated, showing satisfactory linearity, sensitivity (a limit of detection of 27.82 nM), and accuracy (a recovery between 96.00% and 106.51%). The disposable sensor can be potentially applied for on-site nicotine analysis.
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Affiliation(s)
- Yi Xiao
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China. and Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Hunan Normal University), Ministry of Education, China
| | - Suhua Chen
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China. and Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410008, Hunan, China
| | - Guocan Zhang
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
| | - Zhimao Li
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
| | - Han Xiao
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
| | - Chuanpin Chen
- Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410013, China
| | - Chunlian He
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
| | - Ran Zhang
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
| | - Xiaoping Yang
- Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Department of Pharmacy, School of Medicine, Hunan Normal University, Changsha 410013, Hunan, China.
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108
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White CM, Hatsukami DK, Donny EC. Reducing the relative value of cigarettes: Considerations for nicotine and non-nicotine factors. Neuropharmacology 2020; 175:108200. [PMID: 32535010 DOI: 10.1016/j.neuropharm.2020.108200] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 06/05/2020] [Accepted: 06/11/2020] [Indexed: 02/07/2023]
Abstract
Despite notable progress in recent decades, cigarette smoke persists as a leading cause of premature death and preventable disease. To weaken the link between nicotine reinforcement and the toxicity associated with combusted tobacco, the United States Food and Drug Administration is considering a product standard targeting cigarette nicotine content. In this review, we summarize research assessing the potential impacts of reducing nicotine in cigarettes. Evidence to date suggests cigarette smoking, toxicant exposure and dependence would decline following substantial reductions in nicotine content. However, reduced nicotine content may not eliminate smoking entirely. Regulatory efforts that shape the nicotine and tobacco marketplace should consider that non-nicotine reinforcing factors and decision-making biases can contribute to the value of smoking. The impact of reducing nicotine in cigarettes will likely depend on the alternative nicotine products available to current smokers. This article is part of the special issue on 'Contemporary Advances in Nicotine Neuropharmacology'.
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Affiliation(s)
- Cassidy M White
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Dorothy K Hatsukami
- Department of Psychiatry and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Eric C Donny
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
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109
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Gali K, Pike B, Kendra MS, Tran C, Fielding-Singh P, Jimenez K, Mirkin R, Prochaska JJ. Integration of Tobacco Treatment Services into Cancer Care at Stanford. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17062101. [PMID: 32235713 PMCID: PMC7143650 DOI: 10.3390/ijerph17062101] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 03/19/2020] [Accepted: 03/20/2020] [Indexed: 01/08/2023]
Abstract
As part of a National Cancer Institute Moonshot P30 Supplement, the Stanford Cancer Center piloted and integrated tobacco treatment into cancer care. This quality improvement (QI) project reports on the process from initial pilot to adoption within 14 clinics. The Head and Neck Oncology Clinic was engaged first in January 2019 as a pilot site given staff receptivity, elevated smoking prevalence, and a high tobacco screening rate (95%) yet low levels of tobacco cessation treatment referrals (<10%) and patient engagement (<1% of smokers treated). To improve referrals and engagement, system changes included an automated "opt-out" referral process and provision of tobacco cessation treatment as a covered benefit with flexible delivery options that included phone and telemedicine. Screening rates increased to 99%, referrals to 100%, 74% of patients were reached by counselors, and 33% of those reached engaged in treatment. Patient-reported abstinence from all tobacco products at 6-month follow-up is 20%. In July 2019, two additional oncology clinics were added. In December 2019, less than one year from initiating the QI pilot, with demonstrated feasibility, acceptability, and efficacy, the tobacco treatment services were integrated into 14 clinics at Stanford Cancer Center.
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Affiliation(s)
- Kathleen Gali
- Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA; (K.G.); (B.P.); (P.F.-S.)
| | - Brittany Pike
- Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA; (K.G.); (B.P.); (P.F.-S.)
- Stanford Health Care, Stanford, CA 94305, USA; (C.T.); (R.M.)
| | - Matthew S. Kendra
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA 94305, USA;
| | - Cindy Tran
- Stanford Health Care, Stanford, CA 94305, USA; (C.T.); (R.M.)
| | - Priya Fielding-Singh
- Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA; (K.G.); (B.P.); (P.F.-S.)
| | - Kayla Jimenez
- PGSP-Stanford Psy.D. Consortium, Palo Alto University, Palo Alto, CA 94304, USA;
| | - Rachelle Mirkin
- Stanford Health Care, Stanford, CA 94305, USA; (C.T.); (R.M.)
| | - Judith J. Prochaska
- Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA; (K.G.); (B.P.); (P.F.-S.)
- Correspondence: ; Tel.: +1-650-724-3608
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