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Cartmel B, Fucito LM, Bold KW, Neveu S, Li F, Rojewski AM, Gueorguieva R, O'Malley SS, Herbst RS, Toll BA. Effect of a Personalized Tobacco Treatment Intervention on Smoking Abstinence in Individuals Eligible for Lung Cancer Screening. J Thorac Oncol 2024; 19:643-649. [PMID: 37977486 PMCID: PMC10999350 DOI: 10.1016/j.jtho.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 11/07/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION To determine whether personalized gain-framed messaging and biomarker feedback related to tobacco cessation or reduction decrease smoking behavior in patients undergoing or eligible for lung cancer screening. METHODS Between 2016 and 2020, 188 patients were enrolled in a two-phase, sequential, randomized controlled trial. Phase 1 evaluated whether standard of care (SC) (five in-person counseling sessions and 8 weeks of nicotine patch) plus gain-framed messaging (GFM) versus SC would increase 8-week biochemically verified smoking cessation rates. In 143 participants randomized in phase 2, we tested whether feedback on smoking-related biomarkers would reduce 6-month self-reported number of cigarettes smoked per day compared with a no feedback control. Chi-square test and mixed effects repeated measures analyses were used to evaluate group differences. RESULTS Participants were 62.5 ± 5.6 (mean ± SD) years of age, had a 50.3 ± 21 pack-year smoking history, and were smoking 16.9 ± 9.9 cigarettes per day. At 8 weeks, there was no difference in quit rates between those randomized to SC plus GFM (n = 15 of 93, 16.1%) and those randomized to SC (n = 16 of 95, 16.8%), with p equals to 0.90. At the 6-month post-randomization follow-up, number of cigarettes smoked per day was similar in the feedback (least-squares mean = 7.5, 95% confidence interval: 6.0-9.1) and no feedback arms (7.7, 95% confidence interval: 6.2-9.3), with p equals to 0.87. CONCLUSIONS Gain-framed messaging and health feedback did not significantly improve quit rates relative to comprehensive standard of care. Nevertheless, the overall program achieved clinically meaningful smoking quit rates in this older high pack-year cohort, highlighting the importance of intensive tobacco treatment for patients undergoing lung cancer screening. CLINICAL TRIAL REGISTERED WITH CLINICALTRIALS.GOV: NCT02658032.
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Affiliation(s)
- Brenda Cartmel
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut; Yale Cancer Center, New Haven, Connecticut.
| | - Lisa M Fucito
- Yale Cancer Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Smilow Cancer Hospital at Yale-New Haven, New Haven, Connecticut
| | - Krysten W Bold
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Susan Neveu
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Fangyong Li
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Alana M Rojewski
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Ralitza Gueorguieva
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Stephanie S O'Malley
- Yale Cancer Center, New Haven, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Roy S Herbst
- Yale Cancer Center, New Haven, Connecticut; Department of Internal Medicine, Section of Medical Oncology, Yale University School of Medicine, New Haven, Connecticut
| | - Benjamin A Toll
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina; MUSC Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina
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Mandelblatt J, Meza R, Trentham-Dietz A, Heckman-Stoddard B, Feuer E. Using simulation modeling to guide policy to reduce disparities and achieve equity in cancer outcomes: state of the science and a road map for the future. J Natl Cancer Inst Monogr 2023; 2023:159-166. [PMID: 37947330 PMCID: PMC11009490 DOI: 10.1093/jncimonographs/lgad033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 09/10/2023] [Indexed: 11/12/2023] Open
Affiliation(s)
- Jeanne Mandelblatt
- Department of Oncology, Georgetown University Medical Center, Washington, DC, USA
- Georgetown Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Washington, DC, USA
- Georgetown Lombardi Institute for Cancer and Aging Research, Georgetown University Medical Center, Washington, DC, USA
| | - Rafael Meza
- Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada
| | - Amy Trentham-Dietz
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, USA
- Carbone Cancer Center, University of Wisconsin–Madison, Madison, WI, USA
| | - Brandy Heckman-Stoddard
- Breast and Gynecologic Cancer Research Program, Division of Cancer Prevention, National Cancer Institute at the National Institutes of Health, Bethesda, MD, USA
| | - Eric Feuer
- Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute at the National Institutes of Health, Bethesda, MD, USA
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Knudsen AB, Trentham-Dietz A, Kim JJ, Mandelblatt JS, Meza R, Zauber AG, Castle PE, Feuer EJ. Estimated US Cancer Deaths Prevented With Increased Use of Lung, Colorectal, Breast, and Cervical Cancer Screening. JAMA Netw Open 2023; 6:e2344698. [PMID: 37991759 PMCID: PMC10665973 DOI: 10.1001/jamanetworkopen.2023.44698] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/13/2023] [Indexed: 11/23/2023] Open
Abstract
Importance Increased use of recommended screening could help achieve the Cancer Moonshot goal of reducing US cancer deaths. Objective To estimate the number of cancer deaths that could be prevented with a 10-percentage point increase in the use of US Preventive Services Task Force (USPSTF)-recommended screening. Design, Setting, and Participants This decision analytical model study is an extension of previous studies conducted for the USPSTF from 2018 to 2023. This study simulated contemporary cohorts of US adults eligible for lung, colorectal, breast, and cervical cancer screening. Exposures Annual low-dose computed lung tomography among eligible adults aged 50 to 80 years; colonoscopy every 10 years among adults aged 45 to 75 years; biennial mammography among female adults aged 40 to 74 years; and triennial cervical cytology screening among female adults aged 21 to 29 years, followed by human papillomavirus testing every 5 years from ages 30 to 65 years. Main Outcomes and Measures Estimated number of cancer deaths prevented with a 10-percentage point increase in screening use, assuming screening commences at the USPSTF-recommended starting age and continues throughout the lifetime. Outcomes were presented 2 ways: (1) per 100 000 and (2) among US adults in 2021; and they were expressed among the target population at the age of screening initiation. For lung cancer, estimates were among those who will also meet the smoking eligibility criteria during their lifetime. Harms from increased uptake were also reported. Results A 10-percentage point increase in screening use at the age that USPSTF recommended screening commences was estimated to prevent 226 lung cancer deaths (range across models within the cancer site, 133-332 deaths), 283 (range, 263-313) colorectal cancer deaths, 82 (range, 61-106) breast cancer deaths, and 81 (1 model; no range available) cervical cancer deaths over the lifetimes of 100 000 persons eligible for screening. These rates corresponded with an estimated 1010 (range, 590-1480) lung cancer deaths prevented, 11 070 (range, 10 280-12 250) colorectal cancer deaths prevented, 1790 (range, 1330-2310) breast cancer deaths prevented, and 1710 (no range available) cervical cancer deaths prevented over the lifetimes of eligible US residents at the recommended age to initiate screening in 2021. Increased uptake was also estimated to generate harms, including 100 000 (range, 45 000-159 000) false-positive lung scans, 6000 (range, 6000-7000) colonoscopy complications, 300 000 (range, 295 000-302 000) false-positive mammograms, and 348 000 (no range available) colposcopies over the lifetime. Conclusions and Relevance In this decision analytical model study, a 10-percentage point increase in uptake of USPSTF-recommended lung, colorectal, breast, and cervical cancer screening at the recommended starting age was estimated to yield important reductions in cancer deaths. Achieving these reductions is predicated on ensuring equitable access to screening.
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Affiliation(s)
- Amy B. Knudsen
- Institute for Technology Assessment, Massachusetts General Hospital, Boston
- Department of Radiology, Harvard Medical School, Boston, Massachusetts
| | - Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison
| | - Jane J. Kim
- Department of Health Policy and Management, Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jeanne S. Mandelblatt
- Georgetown University Medical Center and Cancer Prevention and Control Program, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC
| | - Rafael Meza
- Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia
| | - Ann G. Zauber
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Philip E. Castle
- Division of Cancer Prevention and Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Eric J. Feuer
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland
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Djuric O, Giorgi Rossi P, Ivanciu EC, Cardellicchio S, Cresci C, Carozzi L, Pistelli F, Bessi V, Gai P, Galli V, Lavacchini G, Bricci C, Gorini G, Bosi S, Paci E. Motivation, acceptability and attitudes toward lung cancer screening among persons who attend a tobacco cessation program: A multicenter survey in Italy. Prev Med Rep 2023; 35:102272. [PMID: 37384117 PMCID: PMC10293766 DOI: 10.1016/j.pmedr.2023.102272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/30/2023] Open
Abstract
This study aimed to evaluate smoking cessation (SC) motivation and the acceptability of a lung cancer screening (LCS) program with low-dose computed tomography (LDCT) among people who attend SC programs. A multicenter survey was conducted in the period January-December 2021 involving 197 people who attended group or individual SC courses in Reggio Emilia and Tuscany. Questionnaires, information sheets, and decision aids about the potential benefits and harms of LCS with LDCT were distributed at different time points during the course. The wish to protect own health (66%) was the most frequent reason given for quitting smoking, followed by cigarette dependence (40.6%) and current health problems (30.5%). Half of the participants (56%) considered periodic health checks including LDCT, as an advantageous activity. The great majority of participants were in favor of LCS (92%), with only 8% being indifferent, and no one was against these programs. Interestingly, those with sufficiently high smoking-related LC risk to be eligible for LCS and those attending the individual course were less in favor of LCS but also less concerned about the possible harms associated with LCS. The type of counseling was a significant predictor for both LCS acceptability and perceived harm of LCS. The favorable perception of LCS in people attending SC courses, despite the considerable preoccupation with potential harms, is an important finding of this study. Introducing a discussion on the benefits and harms of LCS in SC programs may prepare persons who smoke to make informed decisions on utilizing LCS.
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Affiliation(s)
- Olivera Djuric
- Epidemiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Department of Biomedical, Metabolic and Neural Sciences, Centre for Environmental, Nutritional and Genetic Epidemiology (CREAGEN), Public Health Unit, University of Modena and Reggio Emilia, Reggio Emilia, Italy
| | - Paolo Giorgi Rossi
- Epidemiology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Elena Camelia Ivanciu
- Public Health Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Chiara Cresci
- Antismoking Center, Florence-Careggi University Hospital, Florence, Italy
| | - Laura Carozzi
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
- Cardiothoracic and Vascular Department, Pisa University Hospital, Pisa, Italy
| | - Francesco Pistelli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
- Cardiothoracic and Vascular Department, Pisa University Hospital, Pisa, Italy
| | - Valentina Bessi
- Cardiothoracic and Vascular Department, Pisa University Hospital, Pisa, Italy
| | - Patrizia Gai
- Antismoking Center, Azienda Unità Sanitaria Locale Toscana Center, Italy
| | - Valentina Galli
- Antismoking Center, Prato, Azienda Unità Sanitaria Locale Toscana Center, Italy
| | - Giacomo Lavacchini
- Antismoking Center, Borgo San Lorenzo, Azienda Unità Sanitaria Locale Toscana Center, Italy
| | - Claudia Bricci
- Italian League against Cancer (LILT), Reggio Emilia, Italy
| | - Giuseppe Gorini
- Division of Epidemiology and Clinical Governance, Institute for Study, PRevention and netwoRk in Oncology (ISPRO), Florence, Italy
| | - Sandra Bosi
- Italian League against Cancer (LILT), Reggio Emilia, Italy
| | - Eugenio Paci
- Italian League against Cancer (LILT), Florence, Italy
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Webster M, Whealan J, Williams RM, Eyestone E, Le A, Childs J, Kao JY, Martin M, Wolfe S, Yang F, Hung PY, Lau YK, Luta G, Tammemagi M, Meza R, Taylor KL. The tobacco quitline setting as a teachable moment: The Educating Quitline Users About Lung (EQUAL) cancer screening randomized trial. Transl Behav Med 2023; 13:736-747. [PMID: 37616531 DOI: 10.1093/tbm/ibad049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023] Open
Abstract
Although lung cancer screening (LCS) using low-dose CT is recommended for high-risk individuals, screening adherence remains low. We conducted a randomized trial to compare two methods of providing LCS education to Maryland Tobacco Quitline (MTQ) callers in order to assess whether this setting may serve as a teachable moment for LCS-eligible individuals. MTQ callers (50-80 years, 20+ pack-years, prior LCS ≥12 months) completed the baseline and were randomized to the Print- or Web-based version of ShouldIScreen.com. Participants completed 1- and 4-month follow-up assessments to evaluate intervention engagement and LCS-related outcomes. Participants (Print = 152, Web = 146) were 61.7 (SD = 6.3) years old and reported 63.5 pack-years (SD = 36.0). Most identified as Black (54.2%), female (66.1%), having internet access (78.9%), completing other recommended cancer screenings (86.3%), and that they would undergo LCS if recommended by their provider (91.3%). By 4 months, significantly more Print (75.0%) than Web (61.6%) participants had read the materials (P = .01). Most reported the interventions contained "the right amount" of information (92.6%) and prepared them to talk with their doctor (57.2%). Regarding screening-related outcomes, 42.8% (Print) and 43.8% (Web) had scheduled or completed a low-dose CT scan or a shared decision-making visit (P = .86). In a racially diverse sample of LCS-eligible quitline callers, offering LCS educational materials resulted in high intervention engagement and screening-related appointments. As >20% did not have internet access, providing participants' preferred modality (web/print) may improve intervention engagement and knowledge. Improving LCS awareness represents an important opportunity to increase screening among eligible but unscreened quitline callers.
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Affiliation(s)
- Marguerite Webster
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Julia Whealan
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Randi M Williams
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Ellie Eyestone
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Ariel Le
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Jack Childs
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Jen-Yuan Kao
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | | | - Sara Wolfe
- Maryland Department of Health, Baltimore, MD, USA
| | - Felice Yang
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Pei-Yao Hung
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Yan Kwan Lau
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - George Luta
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Martin Tammemagi
- Department of Health Sciences, Brock University, St. Catharine's, ON, Canada
| | - Rafael Meza
- Integrative Oncology, BC Cancer Research Centre, Vancouver, BC, Canada
| | - Kathryn L Taylor
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
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Fu SS, Rothman AJ, Vock DM, Lindgren BR, Almirall D, Begnaud A, Melzer AC, Schertz KL, Branson M, Haynes D, Hammett P, Joseph AM. Optimizing Longitudinal Tobacco Cessation Treatment in Lung Cancer Screening: A Sequential, Multiple Assignment, Randomized Trial. JAMA Netw Open 2023; 6:e2329903. [PMID: 37615989 PMCID: PMC10450571 DOI: 10.1001/jamanetworkopen.2023.29903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 07/11/2023] [Indexed: 08/25/2023] Open
Abstract
Importance Nearly half of the 14.8 million US adults eligible for lung cancer screening (LCS) smoke cigarettes. The optimal smoking cessation program components for the LCS setting are unclear. Objective To assess the effect of adding a referral to prescription medication therapy management (MTM) to the tobacco longitudinal care (TLC) program among patients eligible for LCS who smoke and do not respond to early tobacco treatment and to assess the effect of decreasing the intensity of TLC among participants who do respond to early treatment. Design, Setting, and Participants This randomized clinical trial included patients who currently smoked cigarettes daily and were eligible for LCS. Recruitment took place at primary care centers and LCS programs at 3 large health systems in the US and began in October 2016, and 18-month follow-up was completed April 2021. Interventions (1) TLC comprising intensive telephone coaching and combination nicotine replacement therapy for 1 year with at least monthly contact; (2) TLC with MTM, MTM offered pharmacist-referral for prescription medications; and (3) Quarterly TLC, intensity of TLC was decreased to quarterly contact. Intervention assignments were based on early response to tobacco treatment (abstinence) that was assessed either 4 weeks or 8 weeks after treatment initiation. Main outcomes and Measures Self-reported, 6-month prolonged abstinence at 18-month. Results Of 636 participants, 228 (35.9%) were female, 564 (89.4%) were White individuals, and the median (IQR) age was 64.3 (59.6-68.8) years. Four weeks or 8 weeks after treatment initiation, 510 participants (80.2%) continued to smoke (ie, early treatment nonresponders) and 126 participants (19.8%) had quit (ie, early treatment responders). The 18 month follow-up survey response rate was 83.2% (529 of 636). Across TLC groups at 18 months follow-up, the overall 6-month prolonged abstinence rate was 24.4% (129 of 529). Among the 416 early treatment nonresponders, 6-month prolonged abstinence for TLC with MTM vs TLC was 17.8% vs 16.4% (adjusted odds ratio [aOR] 1.13; 95% CI, 0.67-1.89). In TLC with MTM, 98 of 254 participants (39%) completed at least 1 MTM visit. Among 113 early treatment responders, 6-month prolonged abstinence for Quarterly TLC vs TLC was 24 of 55 (43.6%) vs 34 of 58 (58.6%) (aOR, 0.54; 95% CI, 0.25-1.17). Conclusions and Relevance In this randomized clinical trial, adding referral to MTM with TLC for participants who did not respond to early treatment did not improve smoking abstinence. Stepping down to Quarterly TLC among early treatment responders is not recommended. Integrating longitudinal tobacco cessation care with LCS is feasible and associated with clinically meaningful quit rates. Trial Registration ClinicalTrials.gov Identifier: NCT02597491.
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Affiliation(s)
- Steven S. Fu
- Veterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
- Department of Medicine, University of Minnesota, Minneapolis
| | | | - David M. Vock
- Division of Biostatistics, University of Minnesota, Minneapolis
| | - Bruce R. Lindgren
- Biostatistics Core, Masonic Cancer Center, University of Minnesota, Minneapolis
| | - Daniel Almirall
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor
| | - Abbie Begnaud
- Department of Medicine, University of Minnesota, Minneapolis
| | - Anne C. Melzer
- Veterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
- Department of Medicine, University of Minnesota, Minneapolis
| | | | - Mariah Branson
- Veterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
| | - David Haynes
- Institute for Health Informatics, University of Minnesota, Minneapolis
| | - Patrick Hammett
- Veterans Affairs Health Services Research and Development Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota
- Department of Medicine, University of Minnesota, Minneapolis
| | - Anne M. Joseph
- Department of Medicine, University of Minnesota, Minneapolis
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Foley KL, Dressler EV, Weaver KE, Sutfin EL, Miller DP, Bellinger C, Kittel C, Stone RJ, Petty WJ, Land SR, Spangler JG, Lesser GJ, Chiles C. The Optimizing Lung Screening Trial (WF-20817CD): Multicenter Randomized Effectiveness Implementation Trial to Increase Tobacco Use Cessation for Individuals Undergoing Lung Screening. Chest 2023; 164:531-543. [PMID: 36931460 PMCID: PMC10410244 DOI: 10.1016/j.chest.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/17/2023] Open
Abstract
BACKGROUND One-half of all people who undergo lung cancer screening (LCS) currently use tobacco. However, few published studies have explored how to implement effective tobacco use treatment optimally during the LCS encounter. RESEARCH QUESTION Was the Optimizing Lung Screening intervention (OaSiS) effective at reducing tobacco use among patients undergoing LCS in community-based radiology facilities? STUDY DESIGN AND METHODS The OaSiS study (National Cancer Institute [NCI] Protocol No.: WF-20817CD) is an effectiveness-implementation hybrid type II cluster randomized trial of radiology facilities conducted in partnership with the Wake Forest National Cancer Institute Community Oncology Research Program research base. We randomly assigned 26 radiology facilities in 20 states to the intervention or usual care group. Staff at intervention facilities implemented a variety of strategies targeting the clinic and care team. Eligible patient participants were aged 55 to 77 years undergoing LCS and currently using tobacco. Of 1,094 who completed a baseline survey (523 intervention group, 471 control group) immediately before the LCS appointment, 956 completed the 6-month follow-up (86% retention rate). Fifty-four percent of those who reported not using tobacco at 6 months completed biochemical verification via mailed cotinine assay. Generalized estimating equation marginal models were used in an intention-to-treat analysis to predict 7-day tobacco use abstinence. RESULTS The average self-reported abstinence among participants varied considerably across facilities (0%-27%). Despite a significant increase in average cessation rate over time (0% at baseline to approximately 13% at 6 months; P < .0001), tobacco use did not differ by trial group at 14 days (OR, 0.96; 95% CI, 0.46-1.99; P = .90), 3 months (OR, 1.17; 95% CI, 0.69-1.99; P = .56), or 6 months (OR, 0.97; 95% CI, 0.65-1.43; P = .87). INTERPRETATION The OaSiS trial participants showed a significant reduction in tobacco use over time, but no difference by trial arm was found. TRIAL REGISTRY ClinicalTrials.gov; No.: NCT03291587; URL: www. CLINICALTRIALS gov.
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Affiliation(s)
- Kristie L Foley
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC.
| | - Emily V Dressler
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Kathryn E Weaver
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC; Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Erin L Sutfin
- Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC
| | - David P Miller
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC; Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Christina Bellinger
- Department of Pulmonology and Critical Care, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Carol Kittel
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Rebecca J Stone
- Department of Implementation Science, Wake Forest University School of Medicine, Winston-Salem, NC
| | - W Jeffrey Petty
- Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Stephanie R Land
- Tobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - John G Spangler
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Glenn J Lesser
- Department of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Caroline Chiles
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC
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8
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O'Dowd EL, Lee RW, Akram AR, Bartlett EC, Bradley SH, Brain K, Callister MEJ, Chen Y, Devaraj A, Eccles SR, Field JK, Fox J, Grundy S, Janes SM, Ledson M, MacKean M, Mackie A, McManus KG, Murray RL, Nair A, Quaife SL, Rintoul R, Stevenson A, Summers Y, Wilkinson LS, Booton R, Baldwin DR, Crosbie P. Defining the road map to a UK national lung cancer screening programme. Lancet Oncol 2023; 24:e207-e218. [PMID: 37142382 DOI: 10.1016/s1470-2045(23)00104-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 05/06/2023]
Abstract
Lung cancer screening with low-dose CT was recommended by the UK National Screening Committee (UKNSC) in September, 2022, on the basis of data from trials showing a reduction in lung cancer mortality. These trials provide sufficient evidence to show clinical efficacy, but further work is needed to prove deliverability in preparation for a national roll-out of the first major targeted screening programme. The UK has been world leading in addressing logistical issues with lung cancer screening through clinical trials, implementation pilots, and the National Health Service (NHS) England Targeted Lung Health Check Programme. In this Policy Review, we describe the consensus reached by a multiprofessional group of experts in lung cancer screening on the key requirements and priorities for effective implementation of a programme. We summarise the output from a round-table meeting of clinicians, behavioural scientists, stakeholder organisations, and representatives from NHS England, the UKNSC, and the four UK nations. This Policy Review will be an important tool in the ongoing expansion and evolution of an already successful programme, and provides a summary of UK expert opinion for consideration by those organising and delivering lung cancer screenings in other countries.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Richard W Lee
- Early Diagnosis and Detection Centre, National Institute for Health and Care Research Biomedical Research Centre at the Royal Marsden and Institute of Cancer Research, London, UK; National Heart and Lung Institute, Imperial College London, London, UK.
| | - Ahsan R Akram
- Centre for Inflammation Research, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK; Department of Respiratory Medicine, Royal Infirmary of Edinburgh, Edinburgh, UK
| | - Emily C Bartlett
- Royal Brompton and Harefield Hospitals London and National Heart and Lung Institute, Imperial College London, London, UK
| | | | - Kate Brain
- Division of Population Medicine, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | | | - Yan Chen
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Anand Devaraj
- Royal Brompton and Harefield Hospitals London and National Heart and Lung Institute, Imperial College London, London, UK
| | - Sinan R Eccles
- Royal Glamorgan Hospital, Cwm Taf Morgannwg University Health Board, Llantrisant, UK
| | - John K Field
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Jesme Fox
- Roy Castle Lung Cancer Foundation, Liverpool, UK
| | - Seamus Grundy
- Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Sam M Janes
- Lungs for Living Research Centre, Department of Respiratory Medicine, University College London, London, UK
| | - Martin Ledson
- Department of Respiratory Medicine, Liverpool Heart and Chest Hospital, Liverpool, UK
| | | | | | - Kieran G McManus
- Department of Thoracic Surgery, Royal Victoria Hospital, Belfast, UK
| | - Rachael L Murray
- Lifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, UK
| | - Arjun Nair
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Samantha L Quaife
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
| | - Robert Rintoul
- Department of Oncology, University of Cambridge, Cambridge, UK
| | - Anne Stevenson
- Office for Health Improvement and Disparities, Department of Health and Social Care, London, UK
| | - Yvonne Summers
- The Christie Hospital NHS Trust, Manchester University NHS Foundation Trust, Manchester, UK
| | - Louise S Wilkinson
- Oxford Breast Imaging Centre, Churchill Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Richard Booton
- North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | | | - Philip Crosbie
- North West Lung Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK; Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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Cao P, Jeon J, Tam J, Fleischer NL, Levy DT, Holford TR, Meza R. Smoking Disparities by Level of Educational Attainment and Birth Cohort in the U.S. Am J Prev Med 2023; 64:S22-S31. [PMID: 36935129 PMCID: PMC10177656 DOI: 10.1016/j.amepre.2022.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/09/2022] [Accepted: 06/29/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Little is known about how U.S. smoking patterns of initiation, cessation, and intensity vary by birth cohort across education levels or how these patterns may be driven by other demographic characteristics. METHODS Smoking data for adults aged ≥25 years was obtained from the National Health Interview Surveys 1966-2018. Age-period-cohort models were developed to estimate the probabilities of smoking initiation, cessation, intensity, and prevalence by age, cohort, calendar year, and gender for education levels: ≤8th grade, 9th-11th grade, high school graduate or GED, some college, and college degree or above. Further analyses were conducted to identify the demographic factors (race/ethnicity and birthplace) that may explain the smoking patterns by education. Analyses were conducted in 2020-2021. RESULTS Smoking disparities by education have increased by birth cohort. In recent cohorts, initiation probabilities were highest among individuals with 9th-11th-grade education and lowest among individuals with at least a college degree. Cessation probabilities were higher among those with higher education. Current smoking prevalence decreased over time across all education groups, with important differences by gender. However, it decreased more rapidly among individuals with ≤8th grade education, resulting in this group having the second lowest prevalence in recent cohorts. This may be driven by the increasing proportion of non-U.S. born Hispanics in this group. CONCLUSIONS Although smoking is decreasing by cohort across all education groups, disparities in smoking behaviors by education have widened in recent cohorts. Demographic changes for the ≤8th-grade education group need special consideration in analyses of tobacco use by education.
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Affiliation(s)
- Pianpian Cao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
| | - Jihyoun Jeon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Jamie Tam
- Department of Health Policy and Management, School of Medicine, Yale School of Public Health, New Haven, Connecticut
| | - Nancy L Fleischer
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - David T Levy
- Department of Oncology, Georgetown University, Washington, District of Columbia
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Rafael Meza
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
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Tam J, Jaffri MA, Mok Y, Jeon J, Szklo AS, Souza MC, Holford TR, Levy DT, Cao P, Sánchez-Romero LM, Meza R. Patterns of Birth Cohort‒Specific Smoking Histories in Brazil. Am J Prev Med 2023; 64:S63-S71. [PMID: 36775755 PMCID: PMC10240503 DOI: 10.1016/j.amepre.2022.12.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/07/2022] [Accepted: 12/07/2022] [Indexed: 02/12/2023]
Abstract
INTRODUCTION Smoking prevalence has decreased considerably in Brazil from 34.8% in 1989 to 12.6% in 2019 owing to the implementation of strong tobacco control policies. However, recent data show that the downward trend may be stagnating. Detailed analyses of historical smoking patterns by birth cohort could guide tobacco control decision making in Brazil. METHODS Using the 2008 Global Adult Tobacco Survey and the 2013 and 2019 National Health Surveys, historical smoking patterns in Brazil were estimated, supplemented with data from the 2006‒2019 Surveillance System of Risk Factors for Chronic Diseases by Telephone Interviews. Age‒period‒cohort models with constrained natural splines were applied to estimate the annual probabilities of smoking initiation and cessation, current smoker prevalence, and mean cigarettes smoked per day by age, gender, and birth cohort. Analysis was conducted in 2021‒2022. RESULTS Current smoker prevalence has declined considerably since the 1950 and 1955 birth cohorts for males and females, respectively, reflecting decreased smoking initiation and increased smoking-cessation probabilities over time. Among female cohorts born on or after 2000, smoking initiation may be increasing even as their smoking cessation has increased considerably. Mean cigarettes smoked per day has remained relatively constant across period and cohorts, showing only a minor decrease among males. CONCLUSIONS These detailed cohort-specific smoking parameters can be used to inform models that evaluate the impact of tobacco use and policies on long-term health outcomes and guide public health decision making in Brazil. Stagnant mean cigarettes smoked per day, increasing female smoking initiation, and limited improvement in male cessation among recent cohorts present challenges to tobacco control.
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Affiliation(s)
- Jamie Tam
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
| | - Mohammed A Jaffri
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Yoonseo Mok
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - Jihyoun Jeon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - André S Szklo
- Division of Population Research, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
| | - Mirian C Souza
- Division of Population Research, Brazilian National Cancer Institute, Rio de Janeiro, Brazil
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - David T Levy
- Department of Oncology, Georgetown University, Washington, District of Columbia
| | - Pianpian Cao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | | | - Rafael Meza
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
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11
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Tam J, Levy DT, Feuer EJ, Jeon J, Holford TR, Meza R. Using the Past to Understand the Future of U.S. and Global Smoking Disparities: A Birth Cohort Perspective. Am J Prev Med 2023; 64:S1-S10. [PMID: 36781373 PMCID: PMC10033336 DOI: 10.1016/j.amepre.2022.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 02/13/2023]
Abstract
U.S. smoking-related disparities persist, but data evaluating how smoking patterns across diverse populations have changed by birth cohort are lacking. Worldwide, smoking continues to exact harm, especially to low- and middle-income nations with less historical data for smoking analyses. The Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group previously generated smoking histories for the whole U.S. population using an age, period, and birth cohort (APC) methodological framework. These inputs have been used in numerous models to simulate future patterns of smoking and to evaluate the potential impact of policies. However, the absence of detailed model-ready inputs on smoking behaviors for diverse U.S. populations has been a barrier to research evaluating future trends in smoking-related disparities or the projected impacts of policies across sociodemographic groups. This supplement issue provides new estimates of smoking behaviors with detailed historical data by race/ethnicity, educational attainment, family income, and for each of the 50 U.S. states and Washington, DC. All-cause mortality relative risks associated with smoking by race/ethnicity and educational attainment are also available for the first time. Finally, the supplement issue presents comprehensive smoking histories for Brazil, demonstrating the application of this methodology to resource-limited settings. Collectively, these data aim to offer insight into future U.S. and global smoking disparities and accelerate research on tobacco control policies that advance health equity. This effort will allow tobacco simulation models to account comprehensively for population diversity, thereby enabling researchers to develop more sophisticated analyses of tobacco use and control interventions.
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Affiliation(s)
- Jamie Tam
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
| | - David T Levy
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia
| | - Eric J Feuer
- Division of Cancer Control & Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Jihyoun Jeon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Rafael Meza
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
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12
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Jeon J, Inoue-Choi M, Mok Y, McNeel TS, Tam J, Freedman ND, Meza R. Mortality Relative Risks by Smoking, Race/Ethnicity, and Education. Am J Prev Med 2023; 64:S53-S62. [PMID: 36775754 PMCID: PMC11186465 DOI: 10.1016/j.amepre.2022.12.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/08/2022] [Accepted: 12/15/2022] [Indexed: 02/13/2023]
Abstract
INTRODUCTION The impact of cigarette smoking on mortality is well studied, with estimates of the relative mortality risks for the overall population widely available. However, age-specific mortality estimates for different sociodemographic groups in the U.S. are lacking. METHODS Using the 1987-2018 National Health Interview Survey Linked Mortality Files through 2019, all-cause mortality relative risks (RRs) were estimated for current smokers or recent quitters and long-term quitters compared with those for never smokers. Stratified Cox proportional hazards regression models were used to estimate RRs by age, gender, race/ethnicity, and educational attainment. RRs were also assessed for current smokers or recent quitters by smoking intensity and for long-term quitters by years since quitting. The analysis was conducted in 2021-2022. RESULTS All-cause mortality RRs among current smokers or recent quitters were generally highest for non-Hispanic White individuals than for never smokers, followed by non-Hispanic Black individuals, and were lowest for Hispanic individuals. RRs varied greatly by educational attainment; generally, higher-education groups had greater RRs associated with smoking than lower-education groups. Conversely, the RRs by years since quitting among long-term quitters did not show clear differences across race/ethnicity and education groups. Age-specific RR patterns varied greatly across racial/ethnic and education groups as well as by gender. CONCLUSIONS Age-specific all-cause mortality rates associated with smoking vary considerably by sociodemographic factors. Among high-education groups, lower underlying mortality rates for never smokers result in correspondingly high RR estimates for current smoking. These estimates can be incorporated in modeling analyses to assess tobacco control interventions' impact on smoking-related health disparities between different sociodemographic groups.
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Affiliation(s)
- Jihyoun Jeon
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan.
| | - Maki Inoue-Choi
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Yoonseo Mok
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | | | - Jamie Tam
- Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Rafael Meza
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
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13
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Fathi JT. Integration of Tobacco Dependence Treatment in Lung Cancer Screening and Other Ambulatory Care Settings. Respir Med 2023. [DOI: 10.1007/978-3-031-24914-3_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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Affiliation(s)
- Dejana Braithwaite
- University of Florida Health Cancer Center, Gainesville
- Departments of Surgery and Epidemiology, University of Florida, Gainesville
| | - Michael K Gould
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California
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15
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Shelley D, Wang VHC, Taylor K, Williams R, Toll B, Rojewski A, Foley KL, Rigotti N, Ostroff JS. Accelerating integration of tobacco use treatment in the context of lung cancer screening: Relevance and application of implementation science to achieving policy and practice. Transl Behav Med 2022; 12:1076-1083. [PMID: 36227937 PMCID: PMC9677484 DOI: 10.1093/tbm/ibac076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Based on the findings from the National Lung Screening Trial, the U.S. Preventive Services Task Force recommends annual low dose computed tomography (LDCT) lung cancer screening (LCS) among high-risk adults. Approximately 54% of individuals seeking LCS report current cigarette smoking. Effective smoking cessation interventions, offered at the time of LCS, enhances the health benefits of screening that are attributable to reductions in lung cancer overall and tobacco-related mortality. Considering these data, the Centers for Medicare & Medicaid Services' (CMS) 2015 decision to cover LCS with LDCT required that radiology imaging facilities make tobacco cessation interventions available for people who smoke. In February 2022, CMS reversed their 2015 coverage requirement for delivering tobacco use treatment at the time of LDCT; CMS retained the requirement for counseling during the shared decision-making visit prior to the exam. The policy change does not diminish the importance of offering high-quality tobacco cessation services in conjunction with routine LDCT for LCS. However, LCS programs face a range of barriers to implementing tobacco use treatment in their settings. As a result, implementation has lagged. Closing the "evidence to practice" gap is the focus of implementation science, a field that offers a set of rigorous methods and a systematic approach to identifying and overcoming contextual barriers to implementing evidence-based guidelines in a range of clinical settings. In this paper, we describe how implementation science frameworks and methods can be used to help guide LCS programs in their efforts to integrate tobacco use treatment and discuss policy changes needed to further facilitate the delivery of TUT as an essential component of the LCS process.
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Affiliation(s)
| | | | | | | | - Benjamin Toll
- Medical University of South Carolina, Charleston, SC, USA
| | - Alana Rojewski
- Medical University of South Carolina, Charleston, SC, USA
| | - Kristie L Foley
- Wake Forest University Health Sciences, Winston-Salem, NC, USA
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Cao P, Smith L, Mandelblatt JS, Jeon J, Taylor KL, Zhao A, Levy DT, Williams RM, Meza R, Jayasekera J. Cost-Effectiveness of a Telephone-Based Smoking Cessation Randomized Trial in the Lung Cancer Screening Setting. JNCI Cancer Spectr 2022; 6:pkac048. [PMID: 35818125 PMCID: PMC9382714 DOI: 10.1093/jncics/pkac048] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 06/17/2022] [Accepted: 06/22/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There are limited data on the cost-effectiveness of smoking cessation interventions in lung cancer screening settings. We conducted an economic analysis embedded in a national randomized trial of 2 telephone counseling cessation interventions. METHODS We used a societal perspective to compare the short-term cost per 6-month bio-verified quit and long-term cost-effectiveness of the interventions. Trial data were used to micro-cost intervention delivery, and the data were extended to a lifetime horizon using an established Cancer Intervention Surveillance and Modeling Network lung cancer model. We modeled the impact of screening accompanied by 8 weeks vs 3 weeks of telephone counseling (plus nicotine replacement) vs screening alone based on 2021 screening eligibility. Lifetime downstream costs (2021 dollars) and effects (life-years gained, quality-adjusted life-years [QALYs]) saved were discounted at 3%. Sensitivity analyses tested the effects of varying quit rates and costs; all analyses assumed nonrelapse after quitting. RESULTS The costs for delivery of the 8-week vs 3-week protocol were $380.23 vs $144.93 per person, and quit rates were 7.14% vs 5.96%, respectively. The least costly strategy was a 3-week counseling approach. An 8-week (vs 3-week) counseling approach increased costs but gained QALYs for an incremental cost-effectiveness ratio of $4029 per QALY. Screening alone cost more and saved fewer QALYs than either counseling strategy. Conclusions were robust in sensitivity analyses. CONCLUSIONS Telephone-based cessation interventions with nicotine replacement are considered cost-effective in the lung screening setting. Integrating smoking cessation interventions with lung screening programs has the potential to maximize long-term health benefits at reasonable costs.
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Affiliation(s)
- Pianpian Cao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Laney Smith
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Jeanne S Mandelblatt
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Kathryn L Taylor
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Amy Zhao
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - David T Levy
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Randi M Williams
- Department of Oncology, Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Rafael Meza
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Jinani Jayasekera
- Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
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Williams RM, Eyestone E, Smith L, Philips JG, Whealan J, Webster M, Li T, Luta G, Taylor KL. Engaging Patients in Smoking Cessation Treatment within the Lung Cancer Screening Setting: Lessons Learned from an NCI SCALE Trial. Curr Oncol 2022; 29:2211-2224. [PMID: 35448154 PMCID: PMC9027703 DOI: 10.3390/curroncol29040180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/16/2022] [Accepted: 03/19/2022] [Indexed: 11/16/2022] Open
Abstract
Offering smoking cessation treatment at lung cancer screening (LCS) will maximize mortality reduction associated with screening, but predictors of treatment engagement are not well understood. We examined participant characteristics of engagement in an NCI SCALE cessation trial. Eligible LCS patients (N = 818) were randomized to the Intensive arm (8 phone counseling sessions +8 weeks of nicotine replacement therapy (NRT)) vs. Minimal arm (3 sessions + 2 weeks of NRT). Engagement was measured by number of sessions completed (none, some, or all) and NRT mailed (none vs. any) in each arm. In the Intensive arm, those with ≥some college (OR = 2.1, 95% CI = 1.1, 4.0) and undergoing an annual scan (OR = 2.1, 95% CI = 1.1, 4.2) engaged in some counseling vs. none. Individuals with higher nicotine dependence were more likely (OR = 2.8, 95% CI = 1.3, 6.2) to request NRT. In the Minimal arm, those with higher education (OR = 2.1, 95% CI = 1.1, 3.9) and undergoing an annual scan (OR = 2.0, 95% CI = 1.04, 3.8) completed some sessions vs. none. Requesting NRT was associated with more pack-years (OR = 1.9, 95% CI = 1.1, 3.5). Regardless of treatment intensity, additional strategies are needed to engage those with lower education, less intensive smoking histories, and undergoing a first scan. These efforts will be important given the broader 2021 LCS guidelines.
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Affiliation(s)
- Randi M. Williams
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
- Correspondence: ; Tel.: +1-202-687-7036
| | - Ellie Eyestone
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
| | - Laney Smith
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
| | - Joanna G. Philips
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
| | - Julia Whealan
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
| | - Marguerite Webster
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
| | - Tengfei Li
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC 20007, USA; (T.L.); (G.L.)
| | - George Luta
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC 20007, USA; (T.L.); (G.L.)
| | - Kathryn L. Taylor
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA; (E.E.); (L.S.); (J.G.P.); (J.W.); (M.W.); (K.L.T.)
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Salloum RG, Braithwaite D. Expansion of Guideline-Recommended Lung Cancer Screening Eligibility: Implications for Health Equity of Joint Screening and Cessation Interventions. J Thorac Oncol 2022; 17:13-15. [PMID: 34930605 DOI: 10.1016/j.jtho.2021.10.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 10/11/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Ramzi G Salloum
- Department of Health Outcomes & Biomedical Informatics, University of Florida, Gainesville, Florida; Cancer Control and Population Sciences Program, University of Florida Health Cancer Center, Gainesville, Florida.
| | - Dejana Braithwaite
- Cancer Control and Population Sciences Program, University of Florida Health Cancer Center, Gainesville, Florida; Department of Epidemiology, University of Florida, Gainesville, Florida
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