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To explore the views of tobacco-smoking chronic obstructive pulmonary disease (COPD) and asthma-COPD overlap (ACO) patients on telehealth-based cessation programs and the role of e-cigarettes as an aid to quit smoking.
Background:
Tobacco smoking accelerates the progression of COPD. Traditional smoking cessation programs often do not entirely address the unique needs of COPD patients, leading to suboptimal effectiveness for this population. This research is aimed at describing the attitudes and preferences of COPD and ACO patients toward innovative, telehealth-based smoking cessation strategies and the potential application of e-cigarettes as a quitting aid.
Methods:
A qualitative exploratory approach was adopted in this study, employing both focus groups and individual interviews with English-speaking adults with diagnosed COPD or ACO. Participants included both current smokers (≥ 5 cigarettes/day) and recent ex-smokers (who quit < 12 months ago). Data were systematically coded with iterative reliability checks and subjected to thematic analysis to extract key themes.
Findings:
A total of 24 individuals participated in this study. The emergent themes were the perceived structure and elements of a successful smoking cessation program, the possible integration of telehealth with digital technologies, and the strategic use of e-cigarettes for smoking reduction or cessation. The participants stressed the importance of both social and professional support in facilitating smoking cessation, expressing a high value for insights provided by ex-smokers serving as mentors. A preference was observed for group settings; however, the need for individualized plans was also highlighted, considering the diverse motivations individuals had to quit smoking. The participants perceived online program delivery as potentially beneficial as it could provide immediate access to support during cravings or withdrawals and was accessible to remote users. Opinions on e-cigarettes were mixed; some participants saw them as a less harmful alternative to conventional smoking, while others were skeptical of their efficacy and safety and called for further research.
Tobacco smoking is highly prevalent among patients with serious mental illness (SMI), with known deleterious consequences. Smoking cessation is therefore a prioritary public health challenge in SMI. In recent years, several smoking cessation digital interventions have been developed for non-clinical populations. However, their impact in patients with SMI remains uncertain. We conducted a systematic review to describe and evaluate effectiveness, acceptability, adherence, usability and safety of digital interventions for smoking cessation in patients with SMI. PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, PsychINFO and the Cochrane Tobacco Addiction Group Specialized Register were searched. Studies matching inclusion criteria were included and their information systematically extracted by independent investigators. Thirteen articles were included, which reported data on nine different digital interventions. Intervention theoretical approaches ranged from mobile contingency management to mindfulness. Outcome measures varied widely between studies. The highest abstinence rates were found for mSMART MIND (7-day point-prevalent abstinence: 16–40%). Let's Talk About Quitting Smoking reported greater acceptability ratings, although this was not evaluated with standardized measures. Regarding usability, Learn to Quit showed the highest System Usability Scale scores [mean (s.d.) 85.2 (15.5)]. Adverse events were rare and not systematically reported. Overall, the quality of the studies was fair to good. Digitally delivered health interventions for smoking cessation show promise for improving outcomes for patients with SMI, but lack of availability remains a concern. Larger trials with harmonized assessment measures are needed to generate more definitive evidence and specific recommendations.
Tobacco smoking is the most common preventable cause of morbidity and mortality in the world. In an effort to counteract the harmful consequences of smoking, various tobacco control measures have been implemented, including the use of smoking cessation programmes to reduce the number of new smokers as well as helping current smokers to quit smoking. In Thailand, the SMART Quit Clinic Program (FAH-SAI Clinics) was launched in 2010 to provide smoking cessation services by a multidisciplinary team. There are currently 552 FAH-SAI Clinics established across all 77 provinces of Thailand.
Aim:
This protocol describes a study aiming to evaluate the SMART Quit Clinic Program (FAH-SAI Clinics) in terms of programme performance and clinical outcomes. We hope that the results of the study could be used to improve the current service model and the programme’s success.
Method:
A multicentre prospective observational study will be conducted. The study will focus on 24 FAH-SAI Clinics across 21 provinces of Thailand. The primary outcomes are seven-day point prevalence abstinence rate and continuous abstinence rate at three and six months. The outcomes will be measured using a self-reported questionnaire and biochemical validated by exhaled carbon monoxide.
Discussion:
This study will be the first real-world study that reports the effectiveness of the well-established smoking cessation programme in Thailand. Findings from this study can help improve the quality of smoking cessation services provided by multidisciplinary teams and other smoking cessation services, especially those implemented in low- and middle-income countries.
Smoking is probably the one single factor with the highest impact on reducing the life expectancies of patients with mental illness. In Denmark, 38.8% of patients with persistent mental health problem are smoking. Patients may have problem in participating in ordinary smoking cession programs offered in the community, but they are concerned about the impact of tobacco use on their health and finances and are motivated to stop smoking.Videoconferencing addressing smoking cessation might be an alternative to ordinary consultation at the clinic because the patients can access the treatment at home.
Objectives
Compare rates of smoking cessation in two interventions.
Methods
Patients diagnosed with schizophrenia, bipolar disorders or depression in 3 outpatient clinics are eligible for inclusion.Primary outcome is changes in number of cigarettes smoked pr. patients per day in at 6-month follow-up. Secondary outcome is abstinence from smoking at 6-month follow-up.This is a two-arm randomized controlled trial. 1. Daily video consultants at the start of smoking cessation and the months after. 2. Treatment as usual consistent of smoking cessation treatment in the community by weekly consultants.
Results
By September 2021, we have included 64 patients. Among patients, receiving video 26% has stopped and 15% has stopped from treatment as usual.Many patients has reduced their smoking considerably. The patients in general express that they are satisfied with both interventions.
Conclusions
Smoking cessation delivered by daily short video consultants seems to be the best and most effective way to help patients with serious mental illness to stop smoking.
Nowdays there are different strategies for the treatment of smoking cessation. The treatment include drugs such as varenicline, which acts as a high-affinity partial agonist for the alpha-4 beta-2 nicotinic acetylcholine receptor subtype (nACh). We report a case of a suicidal behaviour in a 39 year-old woman with no previous history of mental illness, who was brought to the emergency department after intentional intoxication with benzodiazepines. The patient was on 10th day of treatment with varenicline.
Objectives
To present a case of sucidal behavior that developed in a 39 year-old woman after starting varenicline. Review of literature and total number of cases reported in the european database of suspected adverse drug reactions (EudraVigilance).
Methods
We carried out a literature review in Pubmed electing those articles focused on mental disorders in those patients that have been taking varenicline. Review number of cases suicidal behavior reported by the European database of suspected adverse drug reactions.
Results
A 39-year-old female was brought to the emergency department after voluntary ingestion of Lorazepam 1mg (40 tablets) in a sucide attempt. The family reported the starting of thoughts of suicide after 1 week of treatment. No previous history of mental disorders. The patient reported low mood and drowsiness in the last 5 days not linked to any cause. After 5 days of discontinuation these mood symptoms and sucidal behavior remited.
Conclusions
Varenicline is associated with different neuropsychiatric sypmtoms. In patients with or without history of mental disorders we should warn about the symptoms for discontinuation of the treatment.
E-cigarettes (ECs) are gaining popularity in Turkey among smokers. With the rapid increase of EC consumption, it is important to ascertain how family physicians (FPs) perceive ECs as they play a key role in providing smoking cessation services.
Aim:
Our main objectives were to determine FPs’ level of awareness and harm reduction perceptions of ECs and to delineate the factors associated with their counseling practices.
Methods:
This was a cross-sectional study with descriptive and analytical components. Data were collected through questionnaires. Questions mainly focused on demographic characteristics, knowledge and own use of ECs, general attitudes towards ECs, and daily practices while performing counseling on tobacco use. In order to control confounding factors, logistic regression analysis was performed.
Findings:
Among a total of 271 FPs, 49.1% (n = 133) were males and the median age (IQR) was 41 years (32–46). Almost one-fifth of the FPs (n = 52) reported that they did not provide counseling services to their smoking patients. Only 26.6% (n = 72) of the FPs stated that they felt confident enough to advise patients on smoking cessation. Of the FPs, 6.6% have stated that they have recommended ECs to their patients for smoking cessation with the strategy of harm reduction. Factors associated with providers’ recommendation of ECs to their patients as a harm reduction strategy included ‘believing that ECs help smokers to quit, ECs could be vaped in closed areas, and ECs were healthier than combustible tobacco products’.
Conclusion:
In our study, FPs stated lack of confidence to advice patients on smoking cessation. Furthermore, they recommended ECs to their smoking patients as a harm reduction strategy. FPs’ confidence should be increased with the trainings based on recent evidence on ECs.
Attrition rates in smoking cessation treatments are high, particularly in persons with substance use disorders. It is estimated that about 55%% disengage prematurely at treatment, meaning that a large portion will not benefit from smoking abstinence. So far, no previous studies have examined predictors of dropouts in a smoking cessation treatment with persons with SUD.
Objectives
The study was two-fold: 1) to analyze the percentage of early-, late-dropouts and completers, and 2) to examine sociodemographic, psychological, and substance-related predictors of dropouts.
Methods
A total of 86 participants (69.8% males; Mage=43.84, SD=9.917) were randomly assigned to two psychological smoking cessation treatment: cognitive-behavioral treatment (CBT) (n=51) or CBT + contingency management (CM) (n=35). Interventions were delivered during eight consecutive weeks
Results
Of the 86 participants who completed the baseline assessment, 21 did not start treatment, 17 dropped out of treatment during treatment, and the remaining 48 completed the treatment. Predictors of early-dropout were younger age (B=-.234; p=.024; OR=.792) and lower number of days in SUD treatment (B= -.005; p=.026; OR=.995). Patients’ primary substance of use was associated with reduced early-dropouts; compared to cocaine users, alcohol (B=-1.827; p=.043; OR=.161) and opioids (B=-3.408; p=.018; OR=.033) related to improved attrition. Late dropout was directly related to higher number of tobacco use cessation attempts (B=.407; p=.039; OR=1.502).
Conclusions
Incorporating strategies to improve attendance and completion rates in SUD populations should be a priority. Mobile reminders, offering online therapies, or CM to reinforce attendance to therapy may be considered.
In February 2020, the Central Mental Hospital Dundrum moved to a complete ban on cigarette smoking. Concerns were raised that this might represent a ‘restrictive practice’ and that patients might gain weight or see changes in their blood pressure if they were not permitted to smoke.
Objectives
The aim of the study was to ascertain if there were changes in the blood pressure readings or body mass index of a group of patients in a secure forensic hospital after the implementation of a complete campus-wide smoking ban
Methods
All patients (n=20) working with one medium cluster team were included in the study. Demographic details and data pertaining to legal status, diagnosis and length of stay in the hospital were obtained. BMI, blood pressure and medications were reviewed at the time of introduction of the smoking ban, 1st February 2020 and again 5 months later.
Results
All those included in the study were male. The median age was 35 years, most common diagnosis was schizophrenia and mean length of stay was 4.23 years. 20% of patients were prescribed anti-hypertensives at the time of introduction of the smoking ban. All of the patients on anti-hypertensives were overweight. At follow up there was no increase in BMI noted in the patient group. Two patients had dose reductions in anti-hypertensives, three had discontinuation of bronchodilators.
Conclusions
Introducing a campus wide smoking ban in a secure forensic psychiatric hospital is both clinically positive and practically possible. There was no noted increase in incidents in the hospital during this period.
Smoking rates are quite high among overweight and obese individuals. Many smokers with excess weight are at increased risk for health complications and report that concern about post-cessation weight gain is a barrier to quitting. It is necessary to perform studies to assess the efficacy of interventions for smoking cessation among individuals with excess weight.
Objectives
To describe in-treatment behaviors, in terms of smoking and weight, in an integrated intervention for smoking cessation and weight gain management.
Methods
A total of 16 smokers (37.5% females, Mage=52.31, SD=9.58) were randomly assigned to one of the two following 8-week smoking cessation conditions: 1) Cognitive-Behavioral Treatment (CBT) for gradual smoking cessation + a Weight Gain Prevention (WGP) module for weight stability (n=7); 2) the same treatment alongside Contingency Management (CM) for smoking abstinence (n=9). Smoking behavior (cigarettes per day, carbon monoxide (CO) in expired air and urine cotinine) and weight were tracked at every visit from baseline through the end of treatment.
Results
Cigarettes per day significantly decreased in both conditions (p≤.028), as well as CO (p≤.018) and cotinine (p≤.043). Regarding body weight gain, participants maintained their body weight (Kg) from baseline to the end of treatment (CBT+WGP: Δkg= .671, CBT+WGP+CM: Δkg= .667, p≥.058) and their BMI (CBT+WGP: 30.56 vs. 30.85, CBT+WGP+CM: 29.74 vs. 29.85, p≥.139).
Conclusions
Preliminary data indicated that a multicomponent intervention to promote gradual smoking cessation and prevent weight gain facilitates in-treatment tobacco reduction and weight stability. CM procedures improved in-treatment smoking behaviors.
Treating addiction is more challenging when there are co-addictions. Tobacco smoking is commonly associated with substance abuse, alcohol use disorders, excessive caffeine intake and pathological gambling among other addictions. Smoking reduction and cessation programmes´ objectives benefit from interventions targeting co-addictions.
Objectives
Difficulties arising from smoking reduction and cessation in the context of co-use of cannabis prompt literature review and reflection of a smoking cessation programme team.
Methods
Pubmed and Google Scholar literature search using terms smoking cessation / tobacco cessation and cannabis.
Results
Co-use of tobacco and cannabis is: 1) very common, 2) associated with greater prevalence of morbidity and social problems, 3) associated with greater dependence of the other substances, 4) negatively influences quit outcomes of either, 5) increases the risk of relapse. Co-users are more likely to perceive the harmful effects of tobacco, have greater motivation and are more likely to quit tobacco than cannabis, which may be perceived as low risk. Treatment of either tobacco smoking or cannabis use may lead to compensatory increase in use of the other substance. There is a significant lack of literature on co-use treatment strategies.
Conclusions
Co-use of tobacco and cannabis makes cessation and relapse prevention of either addiction more difficult and should be taken into account in smoking reduction and cessation programmes and in cannabis treatment interventions. Treatment targetting both tobacco and cannabis use, either simultaneously or sequentially, is likely more successful than interventions targeting only either one. Much remais to be studied on how to treat co-use of tobacco and cannabis.
Persons with substance use disorders (SUD) smoke at strikingly high rates and tobacco use cessation rates are notably low in this population. Contingency Management (CM) is effective to promote substance abstinence, including tobacco, in a large range of populations. CM is scarcely implemented in clinical settings mainly due to barriers at the therapist and organizational levels.
Objectives
The study sought to examine the additive effectiveness of CM on Cognitive-Behavioral Therapy (CBT) over long-term smoking abstinence in persons undergoing SUD treatment.
Methods
A total of 54 smokers (75.9% males, Mage=46.19, SD=9.21) were randomly assigned to CBT (n=30) or to CBT+CM (n=24). Interventions consisted of eight weeks of group-based therapy. Participants were instructed to gradually reduce their nicotine intake by 20% weekly. The CM arm was voucher-based, and the primary outcome was biochemically verified tobacco abstinence (CO≤4ppm, and urine cotinine≤80ng/ml).
Results
A total of 42/54 (77.78%) participants completed the treatment (73.33% in CBT and 83.33% in CBT+CM; p=.380). At the end of treatment, participants in CBT+CM showed higher 24-hour smoking abstinence (50% vs. 20%, p=.032); however, both treatment conditions show equal abstinence rates in the remaining follow-ups (CBT1month= 13.33% vs. CBT+CM1month= 25%; CBT2months= 10% vs. CBT+CM2months= 16.66%; CBT3months= 10% vs. CBT+CM3months= 16.66%; CBT6months= 10% vs. CBT+CM6months= 8.33%; all p-values ≥ .244).
Conclusions
CM facilitates early abstinence outcomes in smokers with SUD more than CBT only does. However, no additive effects of CM were observed at long-term, suggesting the convenience to intensify CM schedules or using technology platforms for incentives delivery.
Smoking cessation method effectiveness is discussed among socially disadvantaged smokers. Our aim was to measure real-life effectiveness of the choice of a multi-component group intervention in comparison with individual usual care. We report an observational study (N = 100). Disadvantaged smokers were screened with a validated tool. We designed a multi-component structured behavioural group intervention, delivered in weekly group sessions during 6 weeks. Usual care consisted of individual visits. Both groups received free nicotine replacement therapy. We observed 33 smokers participating in the group intervention, while 67 received usual care. Abstinence at 6 weeks was 24.2% (n = 8) in the group intervention versus 11.9% (n = 8) in usual care (p = .115). Also, 36.4% (n = 12) of group intervention patients had reduced their cigarette consumption versus 16.4% (n = 11) in usual care (p = .026). In addition, 6.1% (n = 2) dropped out of group versus 31.3% (n = 21) in usual care (p = .005). Finally, 6 months after their first visit, 15.2% (n = 5) of group intervention patients and 4.5% (n = 3) in usual care were abstinent (p = .111). Group intervention choice versus usual care might facilitate smoking abstinence, reduction, and follow-up adherence.
To expedite the use of evidence-based smoking cessation interventions (EBSCIs) in primary care and to thereby increase the number of successful quit attempts, a referral aid was developed. This aid aims to optimize the referral to and use of EBSCIs in primary care and to increase adherence to Dutch guidelines for smoking cessation.
Methods:
Practice nurses (PNs) will be randomly allocated to an experimental condition or control condition, and will then recruit smoking patients who show a willingness to quit smoking within six months. PNs allocated to the experimental condition will provide smoking cessation guidance in accordance with the referral aid. Patients from both conditions will receive questionnaires at baseline and after six months. Cessation effectiveness will be tested via multilevel logistic regression analyses. Multiple imputations as well as intention to treat analysis will be performed. Intervention appreciation and level of informed decision-making will be compared using analysis of (co)variance. Predictors for appreciation and informed decision-making will be assessed using multiple linear regression analysis and/or structural equation modeling. Finally, a cost-effectiveness study will be conducted.
Discussion:
This paper describes the study design for the development and evaluation of an information and decision tool to support PNs in their guidance of smoking patients and their referral to EBSCIs. The study aims to provide insight into the (cost) effectiveness of an intervention aimed at expediting the use of EBSCIs in primary care.
Smoking rates are higher for people who use mental health services, which contributes substantially to health inequalities. Smoking can lead to worse COVID-19 outcomes, yet it remains unclear whether smoking has changed for people who use mental health services. We examined smoking patterns in a large clinical cohort of people with severe mental illness, before and during the pandemic. We found high levels of nicotine dependence and heavier patterns of smoking. Although some people had reported quitting, it is likely that smoking inequalities have become further entrenched. Mental health services should seek to mitigate this modifiable risk and source of poor health.
Patients with schizophrenia spectrum disorders (SSD) have worse physical health and reduced life expectancy compared to the general population. In 2009, the European Psychiatric Association, the European Society of Cardiology and the European Association for the Study of Diabetes published a position paper aimed to improve cardiovascular and diabetes care in patients with severe mental illnesses. However, the initiative did not produce the expected results. Experts in SSD or in cardiovascular and metabolic diseases convened to identify main issues relevant to management of cardiometabolic risk factors in schizophrenia patients and to seek consensus through the Delphi method.
Methods
The steering committee identified four topics: 1) cardiometabolic risk factors in schizophrenia patients; 2) cardiometabolic risk factors related to antipsychotic treatment; 3) differences in antipsychotic cardiometabolic profiles; 4) management of cardiometabolic risk. Twelve key statements were included in a Delphi questionnaire delivered to a panel of expert European psychiatrists.
Results
Consensus was reached for all statements with positive agreement higher than 85% in the first round. European psychiatrists agreed on: 1) high cardiometabolic risk in patients with SSD, 2) importance of correct risk management of cardiometabolic diseases, from lifestyle modification to treatment of risk factors, including the choice of antipsychotic drugs with a favourable cardiometabolic profile. The expert panel identified the psychiatrist as the central coordinating figure of management, possibly assisted by other specialists and general practitioners.
Conclusions
This study demonstrates high level of agreement among European psychiatrists regarding the importance of cardiovascular risk assessment and management in subjects with SSD.
Research shows the mass distribution of free nicotine replacement therapy (NRT) is a high-impact, population-level strategy for smoking cessation; but underrepresentation of younger, and/or lighter, smokers challenges generalisability of findings to young adult smokers.
Aims
This naturalistic study examined how and with what effect young adult smokers used free nicotine patches provided through a mass mailout programme.
Methods
In total, 5,025 eligible 18–29 year-old smokers who accessed an online ordering platform received self-help materials and an 8-week course of patches matched to their consumption level (<10 cigarettes per day (cpd); ≥10 cpd). No other behavioural support occurred. Whether participants used patches correctly and achieved 30-day continuous abstinence at 6-month follow-up were assessed.
Results
Among 694 participants with complete data: 89% used some patches; 8% used the patches correctly for 8 weeks; 31.0% (95% confidence interval (CI) = 27.6, 34.7) achieved abstinence. Adjusted logistic regression analysis showed the highest odds of abstinence was associated with the correct use of patches (odds ratio = 2.8, 95% CI = 1.5, 5.1).
Conclusions
Mass distribution of free patches may be an effective public health measure for supporting younger, lighter smokers to attempt cessation, reduce consumption, or achieve abstinence. Emphasising why and how to use NRT for the entire treatment course may enhance outcomes.
Given that smoking results in poor physical and mental health, reducing tobacco harm is of high importance. Recommendations published by the National Institute for Health and Care Excellence to reduce smoking harms included provision of support, use of nicotine containing products and commissioning of smoking cessation services.
Aims
This report explores the difficulties in obtaining such support, as observed in a recently conducted randomised controlled trial in patients with severe mental ill health, and outlines suggestions to improve facilitation of provision.
Method
Data collected during the Smoking Cessation Intervention for Severe Mental Ill Health Trial (SCIMITAR+) (trial Registration ISRCTN72955454), was reviewed to identify the difficulties experienced, across the trial, with regards to access and provision of nicotine replacements therapy (NRT). Actions taken to facilitate access and provision of NRT were collated to outline how provision could be better facilitated.
Results
Access to NRT varied across study settings and in some instances proved impossible for patients to access. Difficulty in access was irrespective of a diagnosis of severe mental ill health. Where NRT was provided, this was not always provided in accordance with NICE guidelines.
Conclusions
Availability of smoking cessation support, and NRT provision would benefit from being made clearer, simpler and more easily accessible so as to enhance smoking cessation rates.
Perceived stigma may be an unintended consequence of tobacco denormalization policies among remaining smokers. Little is known about the role of perceived stigmatization in cessation behaviours.
Aims
To test if perceived public smoker stigma is associated with recent attempts to cease smoking and future cessation plans among adult daily smokers.
Methods
Using merged data from the biennial national survey Norwegian Monitor 2011 and 2013 (N daily smokers = 1,029), we performed multinomial and ordinal regression analyses to study the impact of perceived public stigma (measured as social devaluation and personal devaluation) on recent quit attempts, short-term intention to quit and long-term intention to quit, controlling for confounders. One additional analysis was performed to investigate the relationship between stigma and intention to quit on quit attempts.
Results
A significant association between perceived social devaluation and recent quit attempts was found (OR 1.76). Perceived stigma was not associated with future quit plans. Personal devaluation was not associated with any cessation outcome. The role of perceived social devaluation on quit attempts was mainly found among smokers with intentions to quit.
Conclusion
These findings indicate that stigma measured as social devaluation of smokers is associated with recent quit attempts, but not with future quit plans.
Walk or Run to Quit was a national program targeting smoking cessation through group-based running clinics. Increasing physical activity may facilitate smoking cessation as well as lead to additional health benefits beyond cessation.
Aim
To evaluate the impact of Walk or Run to Quit over 3 years.
Methods
Adult male and female participants (N = 745) looking to quit smoking took part in 156 running-based cessation clinics in 79 locations across Canada. Using a pre-post design, participants completed questionnaires assessing physical activity, running frequency and smoking at the beginning and end of the 10-week program and at 6-months follow-up. Carbon monoxide testing pre- and post- provided an objective indicator of smoking status and coach logs assessed implementation.
Results
55.0% of program completers achieved 7-day point prevalence (intent-to-treat = 22.1%) and carbon monoxide significantly decreased from weeks 1 to 10 (P < 0.001). There was an increase in physical activity and running from baseline to end-of-program (P's<0.001). At 6-month follow-up, 28.9% of participants contacted self-reported prolonged 6-month abstinence (intent-to-treat = 11.4%) and 35.6% were still running regularly.
Conclusions
Although attrition was a concern, Walk or Run to Quit demonstrated potential as a scalable behaviour change intervention that targets both cessation and physical activity.
Smoking rates in people with depression and anxiety are twice as high as in the general population, even though people with depression and anxiety are motivated to stop smoking. Most healthcare professionals are aware that stopping smoking is one of the greatest changes that people can make to improve their health. However, smoking cessation can be a difficult topic to raise. Evidence suggests that smoking may cause some mental health problems, and that the tobacco withdrawal cycle partly contributes to worse mental health. By stopping smoking, a person's mental health may improve, and the size of this improvement might be equal to taking antidepressants. In this article we outline ways in which healthcare professionals can compassionately and respectfully raise the topic of smoking to encourage smoking cessation. We draw on evidence-based methods such as cognitive–behavioural therapy (CBT) and outline approaches that healthcare professionals can use to integrate these methods into routine care to help their patients stop smoking.