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Introduction: Digital technology is increasingly used to support interventions targeting smoking cessation in people with severe mental illness (SMI). However, little is known about their implementation and effectiveness in this population. We aimed to determine their effectiveness, stakeholder experiences, factors influencing implementation, and quality of reporting of digital interventions for smoking cessation in adults living with SMI., Method: Five online bibliographic databases were searched for articles published between 31 December 2000 and 31 January 2023. Studies involving adults accessing treatment for alcohol and substance use disorders, neurocognitive disorders and terminal illnesses were excluded. Risk of bias was assessed using the Mixed Methods Appraisal Tool (MMAT). A Mantel-Haenszel random-effects meta-analysis of randomized controlled trials (RCTs) was conducted. Participant experience and intervention implementation were explored using a narrative synthesis. Quality of reporting of interventions was assessed using the Template for Intervention Description and Replication (TIDieR) checklist., Results: Thirty-one studies enrolling 3,794 participants were included. Meta-analysis of biochemically verified abstinence at longest follow-up (month-1 to month-6) did not find an overall effect in favour of intervention [risk ratio (RR) = 0.66, 95% confidence interval (CI) = -0.005 - 1.37]. Interventions tailored to people with SMI were perceived as acceptable. Implementation strategies concentrated on overcoming practical challenges at the participant/user level., Conclusion: No evidence of the effectiveness of digital interventions to support smoking cessation in people with SMI was found. The importance of tailoring interventions to the needs of people with SMI is highlighted. Robust reporting of implementation is required to enhance future efforts to support smoking cessation in adults with SMI., Implications: The findings of this review add to the emerging evidence on digital interventions to support smoking cessation among people with SMI. We highlight the importance of tailoring interventions to the population, particularly considering the role of mental illness and the side effects of psychotropic medication in the accessibility and usability of digital interventions., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

Background: Animal-assisted interventions (AAIs) are increasingly common in UK health settings. The Covid-19 pandemic has impacted on their delivery, with many organizations offering AAIs virtually during lockdown periods. This small-scale survey aims to explore the impact of Covid-19 on the delivery of AAIs, and associated challenges and opportunities., Methods: A cross-sectional, retrospective questionnaire survey was conducted with UK AAI providers. The anonymized survey was distributed via academic and third sector networks and social media. Descriptive statistics and free-text responses are presented., Results: Thirty-six AAI providers completed the survey. Of these, 83.3% continued to deliver AAIs during the pandemic. Twenty-eight delivered AAIs remotely and highlighted associated challenges, such as clients being unable to touch the animal, and clients having restricted access to the required technology. Over half reported their animal missed face-to-face interaction. However, they also reported advantages to remote delivery, such as for those who are allergic or fearful of animals. The most commonly reported challenges of in situ delivery included difficulty maintaining distance from the client and the use of face masks, which were perceived to hinder communication., Conclusion: The transition to remote delivery has highlighted challenges and opportunities. Further research could explore these in greater depth and compare the impact of different delivery modes., (© The Author(s) 2022. Published by Oxford University Press.)

Introduction: Evidence suggests that smokers can successfully quit, remain abstinent or reduce smoking during a smoke-free mental health inpatient stay, provided behavioral/pharmacological support are offered. However, few evidence-based strategies to prevent the return to prehospital smoking behaviors post-discharge exist., Aims and Methods: We report the development of an intervention designed to support smoking-related behavior change following discharge from a smoke-free mental health stay. We followed the Behavior Change Wheel (BCW) intervention development process. The target behavior was supporting patients to change their smoking behaviors following discharge from a smoke-free mental health stay. Using systematic reviews, we identified the barriers and enablers, classified according to the Theoretical Domains Framework (TDF). Potential intervention functions to address key influences were identified by consulting the BCW and Behavior Change Technique (BCT) taxonomy. Another systematic review identified effectiveness of BCTs in this context. Stakeholder consultations were conducted to prioritize and refine intervention content., Results: Barriers and enablers to supporting smoking cessation were identified within the domains of environmental context and resources (lack of staff time); knowledge (ill-informed interactions about smoking); social influences, and intentions (lack of intention to deliver support). Potential strategies to address these influences included goal setting, problem-solving, feedback, social support, and information on health consequences. A strategy for operationalizing these techniques into intervention components was agreed upon: Pre-discharge evaluation sessions, a personalized resource folder, tailored behavioral and text message support post-discharge, and a peer interaction group, delivered by a trained mental health worker., Conclusions: The intervention includes targeted resources to support smoking-related behavior change in patients following discharge from a smoke-free mental health setting., Implications: Using the BCW and TDF supported a theoretically and empirically informed process to define and develop a tailored intervention that acknowledges barriers and enablers to supporting smoking cessation in mental health settings. The result is a novel complex theory- and evidence-based intervention that will be formally tested in a randomized controlled feasibility study., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

Introduction: Evidence-based smoking cessation and temporary abstinence interventions to address smoking in mental health settings are available, but the impact of these interventions is limited., Aims and Methods: We aimed to identify and synthesize the perceived barriers and enablers to supporting smoking cessation in mental health settings. Six databases were searched for articles reporting the investigation of perceived barriers and enablers to supporting smoking cessation in mental health settings. Data were extracted and coded using a mixed inductive/deductive method to the theoretical domains framework, key barriers and enablers were identified through the combining of coding frequency, elaboration, and expressed importance., Results: Of 31 included articles, 56 barriers/enablers were reported from the perspectives of mental healthcare professionals (MHPs), 48 from patient perspectives, 21 from mixed perspectives, and 0 from relatives/carers. Barriers to supporting smoking cessation or temporary abstinence in mental health settings mainly fell within the domains: environmental context and resources (eg, MHPs lack of time); knowledge (eg, interactions around smoking that did occur were ill informed); social influences (eg, smoking norms within social network); and intentions (eg, MHPs lack positive intentions to deliver support). Enablers mainly fell within the domains: environmental context and resources (eg, use of appropriate support materials) and social influences (eg, pro-quitting social norms)., Conclusions: The importance of overcoming competing demands on staff time and resources, the inclusion of tailored, personalized support, the exploitation of patients wider social support networks, and enhancing knowledge and awareness around the benefits smoking cessation is highlighted., Implications: Identified barriers and enablers represent targets for future interventions to improve the support of smoking cessation in mental health settings. Future research needs to examine the perceptions of the carers and family/friends of patients in relation to the smoking behavior change support delivered to patients., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

Introduction: The prevalence of smoking among people living with HIV (PLWH) in Uganda is high., Aims and Methods: We assessed the smoking patterns, behaviors, and associated factors among PLWH in Uganda through a cross-sectional survey. Descriptive statistics were used to describe smoking patterns and behaviors. Logistic regression was used to identify factors associated with current smoking status., Results: We recruited 777 participants between October and November 2019: 387 (49.8%) current smokers and 390 (50.2%) nonsmokers. 60.9% were males, and the mean age was 40.5 (SD 10.7) years. In multivariate logistic regression, the following increased the odds of being a current smoker: being male (odds ratio [OR] 6.60 [95% confidence interval, CI = 4.34-10.04]), having at least two smokers among five closest friends (OR 3.97 [95% CI = 2.08-7.59]), living in smoking-permitted households (OR 5.83 [95% CI = 3.32-10.23]), alcohol use (OR 3.96 [95% CI = 2.34-6.71]), a higher perceived stress score (OR 2.23 [95% CI = 1.50-3.34]), and higher health-related quality of life (OR 5.25 [95% CI = 1.18-23.35]). Among smokers, the mean Fagerström Test for Nicotine Dependence score was 3.0 (SD 1.9), and 52.5% were making plans to quit. Self-efficacy to resist smoking and knowledge of the impact of smoking on PLWH's health were low., Conclusions: Being male, having at least two smokers among five closest friends, living in smoking-permitted households, alcohol use, higher perceived stress scores, and higher health-related quality of life were associated with being a current smoker. Smokers had low to moderate nicotine dependence, high willingness to quit, and low self-efficacy., Implications: Future behavioral smoking cessation interventions for PLWH should address co-consumption with alcohol and comorbid mental health conditions that are common among PLWH such as stress. In addition, they should take into account the lack of knowledge among this population of the impact of smoking on their health, and low self-efficacy. Given the relatively low levels of nicotine dependency and high levels of willingness to quit in our sample, smoking cessation interventions, if offered, are likely to support this population in achieving long-term smoking abstinence., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.)

Introduction: In line with national guidance, mental health Trusts in England are implementing complete smoke-free policies. We investigated inpatients' changes in smoking behavior, tobacco dependence, vaping, and motivation to stop smoking between pre-admission and post-discharge., Methods: We surveyed acute adult mental health inpatients from 14 wards in three mental health Trusts in England in 2019. Structured face-to-face and telephone interviews with patients who smoked on or during admission were conducted during the admission period and at one week and one month after discharge. Data on smoking status; daily cigarette consumption; Heaviness of Smoking Index (HSI); Strength of Urges to Smoke (SUTS); Motivation to Stop Smoking (MTSS) and vaping were collected and analyzed using regression and probit models., Results: Inpatient smoking prevalence was 51.9%, and a total of 152 of all 555 eligible smokers (27%) were recruited. Attrition was high: 49.3% at the first and 50.7% at the second follow-up interview. Changes in self-reported smoking status, motivation to quit, and vaping did not change significantly over the study period. Cigarette consumption (p < 0.001) and Heaviness of Smoking Index (p < 0.001) modestly reduced. The frequency and strength of urges to smoke (p = 0.011 and 0.012, respectively) decreased modestly after discharge but were scored as high by 57% and 60% of participants during admission respectively. Just over half (56%) reported being offered smoking cessation support on admission., Conclusions: This study identified very modest changes in smoking-related outcomes during and after admission and indicates major challenges to smoke-free policy implementation, including limited support for patients who smoke., Implications: Despite mental health Trusts in England had developed and implemented smoke-free policies to meet national guidelines, adherence to these policies and provision of effective smoking cessation and temporary abstinence support for inpatients admitted to acute adult mental health wards appear to be limited. Patients who smoke on admission are likely to continue to do so during admission and after discharge, and only a very modest change in smoking behaviors appears to take place. Important opportunities to promote smoking cessation in this population are missed. Barriers to effective support need to be identified and addressed., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Recent guidelines from the UK recommend that men and women should drink no more than 14 units of alcohol per week. This recommendation takes into account the link between alcohol and several cancers; however, there is a dearth of high quality evidence from the UK to support this., Methods: Alcohol consumption using a detailed diary was obtained from 8670 adults representative of the UK population in 1984/5, with follow-up data from cancer registries until 2009. Hazard ratios (HRs) adjusted for several variables including cigarette smoking were calculated for cancers of the breast, lung, colorectum and prostate separately using Cox regression., Results: Units per week on a typical basis, fitted as a linear term, was associated with breast cancer in women (HR = 1.27 per 10 units/week; 95% CI 1.03-1.58) and lung cancer in men (HR = 1.16; 95% CI 1.06-1.27). Increased risks of lung (HR = 2.23; 95% CI 1.18-4.24) and colorectal (HR = 2.28; 95% CI 1.13-4.57) cancer were seen in men at 15-28 units/week along with higher levels of consumption. Some findings differed by alcohol type., Conclusions: Overall, alcohol consumption of 15-28 units/week may be harmful in men with respect to common cancers. A linear association between alcohol consumption and risk of breast cancer was observed in women.