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Konyalıhatipoğlu EB, Karadoğan D, Telatar TG, Şahin Ü. Mid-term outcomes of a smoking cessation program in hospitalized patients in Türkiye. Tob Induc Dis 2024; 22:TID-22-138. [PMID: 39081591 PMCID: PMC11288063 DOI: 10.18332/tid/191239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/11/2024] [Accepted: 07/15/2024] [Indexed: 08/02/2024] Open
Abstract
INTRODUCTION 'Teachable moments', such as inpatient treatment periods, can be turned into opportunities for smokers to acquire healthy living behaviors. This study was conducted to evaluate the outcomes of smoking cessation interventions in an inpatient hospital setting. METHODS Data were collected for this single-arm prospective intervention cohort study between October 2021 and March 2022 from hospitalized patients at Recep Tayyip Erdoğan University Training and Research Hospital in Türkiye. Smoker patients received smoking cessation counseling and brief smoking cessation interventions during their hospitalization and were informed about how to apply to our hospital's smoking cessation outpatient clinic after discharge. They were followed via phone on the 3rd, 5th, and 7th day and the 1st, 3rd, 6th, and 12th month after their discharge, regarding their quit status as well as admissions to smoking cessation clinics. Quitters were confirmed by exhaled air carbon monoxide testing. Logistic regression analysis was performed to evaluate the presence of admission to the emergency department and family physicians at follow-up at 1st year. The model was adjusted in terms of age, sex, presence of malignancy, and education level. RESULTS Of the 183 patients included in the study, 163 participants completed periodic follow-up during one year, with quit rate of 47.2%. The rate of anxiety was higher among non-quitters compared to quitters (9.4% vs 1.2%) (p=0.024). Non-quitters were 19 times more likely to have emergency department admissions (AOR=19.64; 95% CI: 8.08-47.68) and eight times more likely to have family doctor visits (AOR=8.43; 95% CI: 4.05-17.53) than quitters. CONCLUSIONS This cessation program evaluated the quit rates of hospitalized patients in the first year and revealed that the rate of anxiety was higher in non-quitters compared to quitters. It would be an important approach to include psychiatric support in this practice.
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Affiliation(s)
- Esin B. Konyalıhatipoğlu
- Department of Chest Diseases, Recep Tayyip Erdoğan University, School of Medicine, Rize, Türkiye
| | - Dilek Karadoğan
- Department of Chest Diseases, Recep Tayyip Erdoğan University, School of Medicine, Rize, Türkiye
| | - Tahsin Gökhan Telatar
- Department of Public Health, Recep Tayyip Erdoğan University, School of Medicine, Rize, Türkiye
| | - Ünal Şahin
- Department of Chest Diseases, Recep Tayyip Erdoğan University, School of Medicine, Rize, Türkiye
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Cruvinel E, Mussulman L, Scheuermann T, Shergina E, He J, Sherman S, Harrington K, Rigotti NA, Tindle H, Zhu SH, Richter K. Hospital-Initiated Smoking Cessation Among Patients Admitted with Behavioral Health Conditions. J Gen Intern Med 2024; 39:1423-1430. [PMID: 38326585 PMCID: PMC11169289 DOI: 10.1007/s11606-024-08646-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND Smoking rates among people living with behavioral health conditions (BHC) range from 30 to 65% and are 2-4 times higher than rates found in the general population. Starting tobacco treatment during a hospital stay is effective for smoking cessation, but little is known regarding treatment response among inpatients with BHC. OBJECTIVE This study pooled data across multiple clinical trials to determine the relative success in quitting among participants with BHC compared to other study participants. PARTICIPANTS Adults who smoke (≥ 18 years old) from five hospital-based smoking cessation randomized clinical trials. DESIGN A retrospective analysis using data from the electronic health record to identify participants with primary diagnoses related to BHC. Recruitment and data analysis were conducted from 2011 to 2016. We used propensity score matching to pair patients with BHC to those with similar characteristics and logistic regression to determine differences between groups. MEASURES The main outcome was self-reported 30-day abstinence 6 months post-discharge. RESULTS Of 6612 participants, 798 patients had a BHC-related primary diagnosis. The matched sample included 642 pairs. Nearly 1 in 3 reported using tobacco medications after hospitalization, with no significant difference between patients with and without BHC (29.3% vs. 31.5%; OR (95% CI) = 0.90 (0.71, 1.14), p = 0.40). Nearly 1 in 5 patients with BHC reported abstinence at 6 months; however, their odds of abstinence were 30% lower than among people without BHC (OR (95% CI) = 0.70 (0.53,0.92), p = 0.01). CONCLUSION When offered tobacco treatment, hospitalized patients with BHC were as likely as people without BHC to accept and engage in treatment. However, patients with BHC were less likely to report abstinence compared to those without BHC. Hospitals are a feasible and promising venue for tobacco treatment among inpatients with BHC. More studies are needed to identify treatment approaches that help people with BHC achieve long-term abstinence.
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Affiliation(s)
- Erica Cruvinel
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA.
| | - Laura Mussulman
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Taneisha Scheuermann
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Elena Shergina
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jianghua He
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - Scott Sherman
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Kathleen Harrington
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nancy A Rigotti
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hilary Tindle
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Shu-Hong Zhu
- Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
| | - Kimber Richter
- Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
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Shoesmith E, Huddlestone L, Lorencatto F, Shahab L, Gilbody S, Ratschen E. Supporting smoking cessation and preventing relapse following a stay in a smoke-free setting: a meta-analysis and investigation of effective behaviour change techniques. Addiction 2021; 116:2978-2994. [PMID: 33620737 DOI: 10.1111/add.15452] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 12/16/2020] [Accepted: 02/10/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Admission to a smoke-free setting presents a unique opportunity to encourage smokers to quit. However, risk of relapse post-discharge is high, and little is known about effective strategies to support smoking cessation following discharge. We aimed to identify interventions that maintain abstinence following a smoke-free stay and determine their effectiveness, as well as the probable effectiveness of behaviour change techniques (BCTs) used in these interventions. METHODS Systematic review and meta-analyses of studies of adult smokers aged ≥ 18 years who were temporarily or fully abstinent from smoking to comply with institutional smoke-free policies. Institutions included prison, inpatient mental health, substance misuse or acute hospital settings. A Mantel-Haenszel random-effects meta-analysis of randomized controlled trials (RCTs) was conducted using biochemically verified abstinence (7-day point prevalence or continuous abstinence). BCTs were defined as 'promising' in terms of probable effectiveness (if BCT was present in two or more long-term effective interventions) and feasibility (if BCT was also delivered in ≥ 25% of all interventions). RESULTS Thirty-seven studies (intervention n = 9041, control n = 6195) were included: 23 RCTs (intervention n = 6593, control n = 5801); three non-randomized trials (intervention n = 845, control n = 394) and 11 cohort studies (n = 1603). Meta-analysis of biochemically verified abstinence at longest follow-up (4 weeks-18 months) found an overall effect in favour of intervention [risk ratio (RR) = 1.27, 95% confidence interval (CI) = 1.08-1.49, I2 = 42%]. Nine BCTs (including 'pharmacological support', 'goal-setting (behaviour)' and 'social support') were characterized as 'promising' in terms of probable effectiveness and feasibility. CONCLUSIONS A systematic review and meta-analyses indicate that behavioural and pharmacological support is effective in maintaining smoking abstinence following a stay in a smoke-free institution. Several behaviour change techniques may help to maintain smoking abstinence up to 18 months post-discharge.
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Affiliation(s)
- Emily Shoesmith
- Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK
| | - Lisa Huddlestone
- Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK
| | | | - Lion Shahab
- Department of Behavioural Science and Health, University College London, London, UK
| | - Simon Gilbody
- Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK
| | - Elena Ratschen
- Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK
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Rahmani N, Veldhuizen S, Wong B, Selby P, Zawertailo L. The effectiveness of nicotine replacement therapy in light versus heavier smokers. Nicotine Tob Res 2021; 23:2028-2036. [PMID: 33984144 DOI: 10.1093/ntr/ntab096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 05/10/2021] [Indexed: 11/13/2022]
Abstract
PURPOSE The prevalence of light smoking has increased in North America; however, research on the effectiveness of current treatments in this sub-population of smokers is limited. We compared quit outcomes between light (1-10 cigarettes per day (CPD)) versus heavier smokers (>10 CPD) enrolled in a treatment program at their primary care clinic. METHODS This secondary analysis analyzed 45,087 participants (light smokers (n=9,861); heavier smokers (n=35,226)) enrolled in a smoking cessation program between April 2016 and March 2020. The program offered cost-free nicotine replacement therapy (NRT) plus in-person counselling. Type, dose and duration of NRT treatment was personalized. Data were collected at baseline, and at 6-month following enrollment to assess 7-day point prevalence abstinence (PPA), the primary outcome variable of interest. Logistic regression models were used for analyses. RESULTS Seven-day PPA at 6-months was significantly higher among light smokers (30.6%) than heavier smokers (26.0%; OR=1.25, 95% CI=1.18-1.33, p<0.001). Heavier smokers were prescribed more weeks of NRT than light smokers (B=0.82, 95% CI= 0.64-1.0, p<0.001). The association between smoking cessation and daily NRT dose did not differ between groups (p=0.98). However, a stronger positive relationship between the number of clinic visits attended and 7-day PPA was found among heavier smokers in comparison to light smokers (p<0.001). All findings remained significant after adjusting for baseline variables. CONCLUSION There is a paucity of scientific literature on the effectiveness of NRT for light smokers. Our findings suggest that individualized doses of NRT may be helpful in these sub-populations, and highlights the different treatment needs of light smokers. IMPLICATIONS Current clinical guidelines do not provide formal recommendations for light smokers who want to quit smoking. Similar to heavy smokers, light smokers are at substantial risk for many adverse health problems. As such, it is important to understand what treatment options are effective in assisting light smokers to quit smoking. Findings from this study support the use of personalized treatment for all smokers who are interested in quitting smoking, including light smokers.
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Affiliation(s)
- Noreen Rahmani
- University of Toronto, Department of Pharmacology & Toxicology, Toronto, ON.,Centre for Addiction and Mental Health, Nicotine Dependence Service, Toronto, ON
| | - Scott Veldhuizen
- Centre for Addiction and Mental Health, Nicotine Dependence Service, Toronto, ON
| | - Benjamin Wong
- Centre for Addiction and Mental Health, Nicotine Dependence Service, Toronto, ON
| | - Peter Selby
- Centre for Addiction and Mental Health, Nicotine Dependence Service, Toronto, ON.,Centre for Addiction and Mental Health, Campbell Family Mental Health Research Institute, Toronto, ON.,University of Toronto, Department of Psychiatry, Toronto, ON.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON
| | - Laurie Zawertailo
- University of Toronto, Department of Pharmacology & Toxicology, Toronto, ON.,Centre for Addiction and Mental Health, Nicotine Dependence Service, Toronto, ON
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Pérez-Pareja FJ, García-Pazo P, Jiménez R, Escalas T, Gervilla E. Dejar de Fumar, Terapia Cognitivo-conductual y Perfiles Diferenciales con Árboles de Decisión. CLINICA Y SALUD 2020. [DOI: 10.5093/clysa2020a12] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Ni K, Wang B, Link AR, Sherman SE. Does Smoking Intensity Predict Cessation Rates? A Study of Light-Intermittent, Light-Daily, and Heavy Smokers Enrolled in Two Telephone-Based Counseling Interventions. Nicotine Tob Res 2020; 22:423-430. [PMID: 30535269 DOI: 10.1093/ntr/nty257] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Accepted: 12/07/2018] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Though many interventions have been shown to be effective in helping smokers quit, outcomes may differ between light and heavy smokers. We identified differences in baseline characteristics and post-intervention cessation rates among smoker groups at two safety-net hospitals. METHODS We retrospectively analyzed cessation rates in 1604 patients randomized to either a quitline referral (1-2 telephone counseling sessions) or intensive counseling program (seven telephone sessions). Participants were stratified into light-intermittent (smoked on ≤24 of last 30 days), light-daily (smoked on >24/30 days, 1-9 cigarettes per day [CPD]), or heavy smokers (smoked on >24/30 days, ≥10 CPD). We compared baseline characteristics between smoker types using chi-squared tests, then identified predictors of 30-day abstinence using a multivariable model. RESULTS Compared with light-daily and light-intermittent smokers, heavy smokers were more likely to be white, male, concomitant e-cigarette users, to have high-risk alcohol use, to have used quitting aids previously, to have current or lifetime substance use (excluding cannabis), and have lower confidence in quitting. However, in multivariable analysis, smoker type was not significantly associated with cessation. The statistically significant predictors of cessation at 6 months were higher confidence in quitting and enrollment in the intensive counseling intervention. CONCLUSIONS Smoker type (light-intermittent, light-daily, or heavy) does not independently predict success in a cessation program. However, smoker type is strongly associated with patients' confidence in quitting, which may be one predictor of cessation. IMPLICATIONS This study of two safety-net hospitals emphasizes that the number of cigarettes smoked per day does not independently predict smoking cessation. Additionally, heavy smokers are at highest risk for the detrimental health effects of tobacco, yet have lower confidence and motivation to quit. Confidence in quitting may be one factor that affects cessation rates; however, further study is needed to identify which other attributes predict cessation. These findings suggest that smoker type may still be a useful proxy for predicting cessation and that interventions specifically designed for and validated in heavy smokers are needed to better aid these individuals.
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Affiliation(s)
- Katherine Ni
- Department of Medicine, New York University School of Medicine, New York, NY
| | - Binhuan Wang
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Alissa R Link
- Department of Population Health, New York University School of Medicine, New York, NY
| | - Scott E Sherman
- Department of Medicine, New York University School of Medicine, New York, NY.,Department of Population Health, New York University School of Medicine, New York, NY.,Department of Medicine, VA New York Harbor Healthcare System, New York, NY
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Kagabo R, Gordon AJ, Okuyemi K. Smoking cessation in inpatient psychiatry treatment facilities: A review. Addict Behav Rep 2020; 11:100255. [PMID: 32467844 PMCID: PMC7244912 DOI: 10.1016/j.abrep.2020.100255] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/06/2020] [Accepted: 01/21/2020] [Indexed: 12/02/2022] Open
Abstract
Smoking rates are high among people with psychiatric illness. Smoking cessation interventions are rarely available in inpatient psychiatry settings. Smokers with psychiatric illness are just as interested in quitting smoking.
Background Tobacco-related diseases are a leading cause of death among individuals with severe mental illness (SMI), yet interventions to address tobacco cessation are rare in inpatient settings where persons with SMI are hospitalized. While cigarette smoking rates have declined in the general population, they remain high in persons with SMI. Inpatient settings would be a prime location to intervene on tobacco consumption among persons with SMI. The objective of this review was to examine evidence of smoking cessation interventions in psychiatric inpatient facilities. Method Using narrative overview guidelines, we searched PubMed, PsycINFO, and CINAHL for smoking cessation RCT studies published between 1950 and 2018. Studies included had to have at least started in inpatient psychiatry settings. Examples of search terms included: smoking cessation in inpatient psychiatry, smoking cessation in inpatient mental health treatment facilities, and smoking cessation and mental health. Results Following the inclusion criteria, eight RCT studies were reviewed. One study was among adolescent psychiatric inpatient smokers ages 13–17, and 7 were among adult psychiatric inpatients with mean age 41 years. Treatment periods lasting 8 to 12 weeks started in inpatient settings and continued post discharge. A combination of behavioral and pharmacological interventions were used. Pharmacological interventions were nicotine replacement therapies, and at least one study used varenicline. At baseline, participants smoked an average of 18.1 cigarettes per day. Conclusion Smoking cessation in inpatient psychiatry settings is rare or delayed. There is a need for more tailored treatments among this population to help them quit smoking.
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Affiliation(s)
- Robert Kagabo
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States
- Corresponding author at: 375 Chipeta Way Ste. A, Salt Lake City, UT 84108, United States.
| | - Adam J. Gordon
- Program for Addiction Research, Clinical Care, Knowledge and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States
- Informatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT, United States
| | - Kola Okuyemi
- Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT, United States
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