A cross-sectional survey of smoking and cessation support policies in a sample of homeless services in the United Kingdom.

BACKGROUND: Smoking is extremely common amongst adults experiencing homelessness. To date, there is no nationally representative data on how tobacco dependence is treated and if and how smoking cessation is supported across the homeless sector. The aim of this study was to document smoking and e-cigarette policies of UK homeless services and identify areas of good practice and where improvements could be made. METHODS: A cross-sectional survey with homeless centre staff was conducted between June 2020-December 2020 totalling 99 homeless centres. Quotas were stratified based on population and service type across Scotland, Northern Ireland, Wales, and England. Interviews were conducted over the phone or online in a minority of cases. Survey questions were themed to assess, i) onsite smoking and e-cigarette (vaping) policies ii) screening and recording of smoking status, iii) cessation training and resources available to staff, iv) cessation support for service users. RESULTS: 92% accounted for smoking within their policies in some form (stand-alone policy (56%) or embedded within another health and safety policy (36%)). 84% allowed smoking in at least some (indoor and outdoor) areas. In areas where smoking was not allowed, vaping was also disallowed in 96% of cases. Staff smoking rates were 23% and 62% of centres reported staff smoked with service users. Just over half (52%) reported screening and recording smoking status and 58% made referrals to Stop Smoking Services (SSS), although established links with SSS were low (12%) and most centres did not provide staff training on supporting smoking cessation. Areas of good practice included regular offers of smoking cessation support embedded in routine health reviews or visits from SSS and offering tangible harm reduction support. Areas for improvement include staff training, staff smoking with service users and skipping routine screening questions around smoking. CONCLUSIONS: Smoking is accounted for across different policy types and restricted in some areas within most settings. Smoking cessation support is not routinely offered across the sector and there is little involvement with the SSS.

A Cost-Effectiveness Analysis of Stop Smoking Interventions in Substance-Use Disorder Populations.

BACKGROUND: Tobacco smoking is highly prevalent among people attending treatment for a substance-use disorder (SUD). In the United Kingdom, specialist support to stop smoking is largely delivered by a national network of stop smoking services, and typically comprises of behavioral support delivered by trained practitioners on an individual (one-to-one) or group basis combined with a pharmacological smoking-cessation aid. We evaluate the cost-effectiveness of these interventions and compare cost-effectiveness for interventions using group- and individual-based support, in populations under treatment for SUD. METHODS: Economic modeling was used to evaluate the incremental cost-per-quality-adjusted-life-years (QALYs) gained for smoking-cessation interventions compared with alternative methods of quitting for the SUD treatment population. Allowance was made for potentially lower abstinence rates in the SUD population. RESULTS: The incremental cost-per-QALY gained from quit attempts supported through more frequently provided interventions in England ranged from around £4,700 to £12,200. These values are below the maximum cost-effectiveness threshold adopted by policy makers in England for judging whether health programs are a cost-effective use of resources. The estimated cost-per-QALY gained for interventions using group-based behavioral support were estimated to be at least half the magnitude of those using individual support due to lower intervention costs and higher reported quit rates. Conclusions reached regarding the cost-effectiveness of group-based interventions were also found to be more robust to changes in modeling assumptions. CONCLUSIONS: Smoking-cessation interventions were found to be cost-effective when applied to the SUD population, particularly when group-based behavioral support is offered alongside pharmacological treatment. IMPLICATIONS: This analysis has shown that smoking-cessation interventions combining pharmacological treatment with behavioral support can offer a cost-effective method for increasing rates of smoking cessation in populations being treated for a substance-use disorder. This is despite evidence of lower comparative success rates in terms of smoking abstinence in populations with SUD. Our evaluation suggests that medication combined with group-based behavioral support may offer better value for money in this population compared with interventions using individual support, though further evidence on the comparative effectiveness and cost of interventions delivered to SUD treatment populations would facilitate a more robust comparison.

Harm perceptions across vaping product features: An on-line cross-sectional survey of adults who smoke and/or vape in the United Kingdom.

BACKGROUND AND AIMS: Vaping products are diverse with a wide variety of features, and popular products change rapidly. This study examined the features and types of vaping products that people who smoke and/or vape perceive contribute to the health harms of vaping. DESIGN, SETTING AND PARTICIPANTS: This was a cross-sectional survey co-designed with adults who smoked/vaped and pre-registered. An on-line survey (November 2022) was used of a convenience sample of adults in the United Kingdom who smoked and/or vaped (n = 494). MEASUREMENTS: As primary outcomes, respondents were asked to select any of 15 vaping product features they perceived might have any effect on the health harms of vaping (for each: selected, not selected). Independent variables were smoking/vaping status (smoke and vape; vape, formerly smoked; vape, never regularly smoked; smoke, do not currently vape); relative vaping harm perceptions [less harmful than smoking (accurate), equally/more harmful than smoking or do not know/refused (other)]. Binary logistic regressions were used to compare outcomes by current vaping/smoking status and relative harm perceptions, adjusting for age and sex. FINDINGS: Most people (54.7%) selected between one and three features. The most frequently selected were nicotine concentration (62.2%) and amount of e-liquid consumed (59.1%), followed by nicotine type (e.g. salt or freebase; 33.0%), source/purchase location (25.3%), flavours (24.7%), temperature to heat e-liquid (21.1%), heat produced by device (20.9%), e-liquid brand (20.9%), amount of emissions (18.6%), device type (e.g. disposable, pod, tank; 17.2%), material of tank (17.0%), power/wattage (13.0%), device brand (8.1%), device size (4.1%) and device weight (2.4%). Higher nicotine concentrations, more e-liquid and salt (versus freebase) nicotine were perceived to confer greater harms. Disposables were perceived as slightly more harmful than reusable devices. There were few differences by current vaping/smoking status and between those with accurate (versus other) harm perceptions of vaping relative to smoking (P > 0.05 for most contrasts, adjusting for age and sex). CONCLUSIONS: Certain features and types of vaping products [higher nicotine concentrations, more e-liquid consumed and salt (versus freebase) nicotine] were perceived to confer greater health harms among a sample of UK adults who smoked and/or vaped. Findings are consistent with pervasive misperceptions that nicotine is a major cause of harm, although e-liquid volume is likely to contribute to harms.

Pattern and prevalence of vaping nicotine and non-nicotine drugs in the United Kingdom: a cross-sectional study.

OBJECTIVES: Electronic vaping devices are being used to consume nicotine and non-nicotine psychoactive drugs. We aimed to determine the pattern and prevalence of using vaping devices for nicotine and/or non-nicotine drug administration in the United Kingdom and how these differ by drug type and individual sociodemographic characteristics. We explored reasons for vaping onset and continuation. DESIGN: An online cross-sectional survey PARTICIPANTS: A convenience sample of adults (aged ≥18 years) in the UK. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was prevalence of current use (within the last 30 days) of a vaping device to administer either nicotine or 18 types of non-nicotine drugs. We additionally evaluated reasons for onset and continuation of vaping. Sociodemographic characteristics were compared between the UK general population using census data and those vaping non-nicotine drugs. RESULTS: We recruited 4027 participants of whom 1637 (40.7%) had ever used an electronic vaping device; 1495 (37.1%) had ever vaped nicotine and 593 (14.7%) had ever vaped a non-nicotine drug. Overall, 574 (14.3%) currently vaped nicotine and 74 (1.8%) currently vaped a non-nicotine drug. The most common currently vaped non-nicotine drug was cannabis (n=58, 1.4%). For nicotine, people's modal reasons to start and continue vaping was to quit smoking tobacco. For almost all other drugs, people's modal reason to start vaping was curiosity and to continue was enjoyment. Compared with the general population, the population who had ever vaped a non-nicotine drug were significantly younger, had more disabilities and fewer identified as white, female, heterosexual or religious. CONCLUSIONS: A non-trivial number of people report current use and ever use of an electronic vaping device for non-nicotine drug administration. As vaping technology advances and drug consumption changes, understanding patterns of use and associated behaviours are likely to be increasingly important to both users and healthcare professionals.

Harm perceptions of nicotine-containing products and associated sources of information in UK adults with and without mental ill health: A cross-sectional survey.

BACKGROUND AND AIMS: People with mental ill health are more likely to smoke and experience smoking-related harm than those without. Switching from combustible tobacco to lower-risk nicotine-containing products may be of benefit; however, misperceptions of harm may prevent their use. We aimed to assess, among adults with and without mental ill health, (1) perceptions of harm from nicotine and relative harm and addictiveness of different nicotine-containing products and (2) sources of information associated with harm perceptions. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: On-line survey of adults (n = 3400) who smoke cigarettes and/or use e-cigarettes, or have recently stopped, in the United Kingdom. MEASUREMENTS: Outcomes: harm perceptions of nicotine; relative perceived harm and addictiveness of different nicotine-containing products; sources of information for harm perceptions of nicotine, cigarette smoking and e-cigarettes. Demographics: sex, age, education, ethnic group and region. Other measures: self-reported smoking, vaping and mental health status. ANALYSES: frequencies and logistic regressions adjusting for demographic/other measures. FINDINGS: Among those with serious mental distress (versus no/low mental distress): 9.6% [13.9%, adjusted odds ratio (aOR) = 0.69, 95% confidence interval (CI) = 0.50-0.97] correctly identified that none/a very small amount of the health risks of smoking cigarettes come from nicotine; 41.7% (53.5%, aOR = 0.67, 95% CI = 0.54-0.84) perceived e-cigarettes and 53.2% (70.3%, aOR = 0.62, 95% CI = 0.50-0.77) perceived nicotine replacement therapy to be less harmful than cigarettes; and 42.1% (51.3%, aOR = 0.77, 95% CI = 0.62-0.95) perceived e-cigarettes as being less likely than cigarettes to cause cancer, 35.4% (45.5%, aOR = 0.71, 95% CI = 0.57-0.88) heart attacks and 34.9% (42.3%, aOR = 0.80, 95% CI = 0.64-0.99) lung problems. The most popular sources of information for cigarette smoking, e-cigarettes and nicotine were scientific experts' opinions and media reports, with little variation by mental distress. CONCLUSIONS: Among adults with a history of tobacco and/or e-cigarette use, those with serious mental distress appear to have less accurate harm perceptions of nicotine and nicotine-containing products than those with no/low distress, despite reporting similar sources of information.

Substance use and homelessness: A longitudinal interview study conducted during COVID-19 with implications for policy and practice.

BACKGROUND: People who are homeless and using substances frequently encounter barriers to accessing support. This paper aims to inform policy and practice by analysing changes in the tobacco, alcohol and illicit drug use of people experiencing homelessness. METHODS: Data derive from a qualitative longitudinal study (undertaken 2020/2021) and involving telephone interviews (n = 310) conducted with 34 people accommodated in two London hotels provided as part of a UK policy response to COVID-19. The hotels offered various supports, including opioid replacement therapy, prescribed alcohol, licensed nicotine replacement therapy, and e-cigarettes. Participants' substance use data were organised by Iterative Categorization and subjected to a content analysis to identify patterns and themes.. RESULTS: At entry to the hotel, 5/34 participants (14.7%) had never used alcohol nor illicit drugs; 10/34 (29.4%) had only ever used alcohol (mostly without a problem); 11/34 (32.4%) had ever used illicit drugs but without a problem; and 8/34 (23.5%) had ever had a problem with illicit drugs. Sub-groups had different socio-demographic characteristics, particularly regarding being/not being a UK national, sex, and homelessness duration. Tobacco smoking was common across all sub-groups (18/34; 52.9%). Participants were often anxious about living with others who were using substances, and some worried about their own substance use. Substance use was changeable, with more decreases than increases. Changes related to intrapersonal (psychological), interpersonal (social) and structural (resource-based) factors. For example, decreases were precipitated by people feeling motivated to change, separation from others who used drugs, and receiving treatment or support. CONCLUSION: Findings indicate that various interventions and accommodation models may benefit people who are homeless and using substances. An initiative that combined shelter and basic amenities, pharmacological treatment, psychosocial support, and space where substances were not available and other people using substances could be avoided resulted in an overall reduction in substance use amongst those accommodated.

Evaluating the effectiveness of e-cigarettes compared with usual care for smoking cessation when offered to smokers at homeless centres: protocol for a multi-centre cluster-randomized controlled trial in Great Britain.

BACKGROUND AND AIMS: Smoking is extremely common among adults experiencing homelessness, but there is lack of evidence for treatment efficacy. E-cigarettes are an effective quitting aid, but they have not been widely tested in smokers with complex health and social needs. Here we build upon our cluster feasibility trial and evaluate the offer of an e-cigarette or usual care to smokers accessing a homeless centre. DESIGN, SETTING AND PARTICIPANTS: Multi-centre two-arm cluster-randomized controlled trial with mixed-method embedded process and economic evaluation in homeless centres in England, Scotland and Wales. Adult smokers (18+ years; n = 480) accessing homeless centres and who are known to centre staff and willing to consent. INTERVENTION AND COMPARATOR: Clusters (n = 32) will be randomized to either an e-cigarette starter pack with weekly allocations of nicotine containing e-liquid for 4 weeks [choice of flavours (menthol, fruit and tobacco) and strengths 12 mg/ml and 18 mg/ml] or the usual care intervention, which comprises very brief advice and a leaflet signposting to the local stop smoking service. MEASUREMENTS: The primary outcome is 24-week sustained carbon monoxide-validated smoking cessation (Russell Standard defined, intention-to-treat analysis). SECONDARY OUTCOMES: (i) 50% smoking reduction (cigarettes per day) from baseline to 24 weeks; (ii) 7-day point prevalence quit rates at 4-, 12- and 24-week follow-up; (iii) changes in risky smoking practices (e.g. sharing cigarettes, smoking discarded cigarettes) from baseline to 4, 12 and 24 weeks; (iv) cost-effectiveness of the intervention; and (v) fidelity of intervention implementation; mechanisms of change; contextual influences and sustainability. CONCLUSIONS: This is the first study, to our knowledge, to randomly assign smokers experiencing homelessness to an e-cigarette and usual care intervention to measure smoking abstinence with embedded process and economic evaluations. If effective, its results will be used to inform the larger-scale implementation of offering e-cigarettes throughout homeless centres to aid smoking cessation.

Drug-related deaths associated with vaping product use in the United Kingdom.

BACKGROUND AND AIMS: Between March 2019 and February 2020 there was an outbreak of acute lung injury associated with vaping tetrahydrocannabinol (THC), contaminated with vitamin E acetate, in the United States. To date, there has been no comprehensive study of drug-related deaths associated with vaping products in the United Kingdom. We aimed to identify any trends in drug-related deaths associated with vaping product use in the United Kingdom. METHODS: We retrospectively identified any deaths associated with the use of vaping products reported to the UK National Programme on Substance Abuse Deaths (NPSAD). This contains voluntarily reported information from UK Coroners on more than 42 000 deaths related to psychoactive drugs, other than nicotine or caffeine, which occurred between 1997 and 2020. RESULTS: Two drug-related deaths were reported which were associated with vaping products, one person having died in 2017 and one in 2018. Both decedents were men currently serving prison sentences in England and were aged 26 and 42 years at the time of death. Both deaths were associated with recent use of Synthetic Cannabinoid Receptor Agonists (SCRAs), with no other substances found to be implicated in death. No details regarding the type of vaping products were available. CONCLUSIONS: In a UK sample (1997 to 2020) of 42 000 deaths related to psychoactive drugs other than nicotine or caffeine, only two deaths were associated with vaping products, and those involved use of synthetic cannabinoid receptor agonists.

The impact of cigarette smoking on life expectancy in schizophrenia, schizoaffective disorder and bipolar affective disorder: An electronic case register cohort study.

Severe mental disorders are associated with a life expectancy that is 10-20 years shorter than the general population's. The prevalence of cigarette smoking in these populations is very high. We examined the effect of smoking on life expectancy and survival in patients with a diagnosis of schizophrenia, schizoaffective disorder or bipolar affective disorder from 2007 to 2018 in South East London, UK. Smoking status was determined using unstructured text data extracted from electronic health records. A total of 21,588 patients were identified of which 16,717, (77.4%) were classified as current smokers and 3438 (15.9%) as non-smokers. In female participants, life expectancy at birth was 67.6 years in current smokers (95% CI: 66.4-68.8) and 74.9 years in non-smokers (95% CI: 72.8-77.0), a difference of 7.3 years. In male participants, life expectancy at birth was 63.5 years in current smokers (95% CI: 62.5-64.5) and 68.5 years in non-smokers (95% CI, 64.4-72.6), a difference of 5.0 years. Adjusted survival models found that current smoking status was associated with an increased mortality risk for both females (aHR: 1.42, 95% CI: 1.21-1.66, p < 0.001) and males (aHR: 1.49; 95% CI: 1.25-1.79, p < 0.001). In terms of the effect sizes, these risks were similar to those associated with a diagnosis of co-morbid alcohol or opioid use disorder. Smoking may account for a substantial proportion of the reduced life expectancy in patients with psychotic disorders. Increased emphasis on reducing cigarette smoking in these populations may be the most effective way to reduce the mortality gap with the general population.

Reciprocal influences of tobacco use on illicit opioid and alcohol use during the first six-months of specialist addiction treatment.

BACKGROUND: This is the first national study of lagged reciprocal associations between tobacco smoking frequency and change in illicit opioid or alcohol use frequency within six-months of treatment. METHODS: All adults admitted to publicly-funded specialist addiction treatment in England in 2018/19 and enrolled for at least six months for either opioid use disorder (OUD; n = 22,046; 82.4 % of those eligible) or alcohol use disorder (AUD; n = 15,251; 78.8 % of those eligible). Two cross-lagged panel models estimated, separately for OUD and AUD patients, the relationships between smoking at admission and change in main drug over six months, and between main drug use at admission and change in smoking over six months. RESULTS: Within the OUD cohort, illicit opioid use frequency reduced from 17.7 days to 8.0 days and smoking tobacco remained at 18.8 days. After controlling for available covariates, higher smoking frequency at admission was associated with a relative increase in illicit opioid use at six-months (0.02 days [95 % CI 0.00-0.03]). Within the AUD cohort, alcohol use frequency reduced from 21.2 days to 14.4 days while smoking tobacco reduced from 12.6 days to 11.5 days. Higher smoking frequency at admission was associated with a relative increase in alcohol use at six-months (0.03 days [95 % CI 0.02-0.04]) and higher alcohol use frequency at admission was associated with a relative increase in smoking at six-months (0.04 [95 % CI 0.02-0.06]), controlling for available covariates. CONCLUSIONS: Higher smoking frequency at admission is associated with higher illicit opioid and alcohol use frequency after six-months of specialist addiction treatment.

The SPECTRUM Consortium: a new UK Prevention Research Partnership consortium focussed on the commercial determinants of health, the prevention of non-communicable diseases, and the reduction of health inequalities.

The main causes of non-communicable diseases (NCDs), health inequalities and health inequity include consumption of unhealthy commodities such as tobacco, alcohol and/or foods high in fat, salt and/or sugar. These exposures are preventable, but the commodities involved are highly profitable. The economic interests of 'Unhealthy Commodity Producers' (UCPs) often conflict with health goals but their role in determining health has received insufficient attention. In order to address this gap, a new research consortium has been established. This open letter introduces the SPECTRUM ( S haping  Public h Ealth poli Cies  To  Reduce ineq Ualities and har M)Consortium: a multi-disciplinary group comprising researchers from 10 United Kingdom (UK) universities and overseas, and partner organisations including three national public health agencies in Great Britain (GB), five multi-agency alliances and two companies providing data and analytic support. Through eight integrated work packages, the Consortium seeks to provide an understanding of the nature of the complex systems underlying the consumption of unhealthy commodities, the role of UCPs in shaping these systems and influencing health and policy, the role of systems-level interventions, and the effectiveness of existing and emerging policies. Co-production is central to the Consortium's approach to advance research and achieve meaningful impact and we will involve the public in the design and delivery of our research. We will also establish and sustain mutually beneficial relationships with policy makers, alongside our partners, to increase the visibility, credibility and impact of our evidence. The Consortium's ultimate aim is to achieve meaningful health benefits for the UK population by reducing harm and inequalities from the consumption of unhealthy commodities over the next five years and beyond.

Tobacco smoking, related harm and motivation to quit smoking in people with schizophrenia spectrum disorders.

This narrative review focuses on the topic of tobacco smoking amongst people with schizophrenia spectrum disorders. We searched PubMed, PsycInfo and Scopus databases for schizophrenia spectrum disorders and smoking and included articles about the epidemiology of tobacco smoking in people with schizophrenia spectrum disorders, examining the relationship between smoking and mental health. This narrative review describes that a higher prevalence, frequency and impact of both high nicotine dependence and its harmful effects in patients with schizophrenia spectrum disorders compared with those in the general population. Despite several existent theories, the reasons for high smoking rates, the high dependence on nicotine and severity of nicotine withdrawal symptoms are not fully understood. The main aim of this paper is to inform mental health personnel and particularly clinical and health psychologists about the impact and role of tobacco smoking for smokers with schizophrenia spectrum disorders.

Smoking-related violence in a mental health setting following the implementation of a comprehensive smoke-free policy: A content analysis of incident reports.

Smoke-free policies in mental health settings are important to protect health but are often impeded by staff concerns that physical violence may increase. We aimed to address the literature gap about the frequency, nature, and management of physical violence in relation to smoking. We compared the antecedents and containment of smoking-related incidents of physical violence over a two-year period, (12 months when an indoor-only smoke-free policy was in place, followed by 12 months after a new comprehensive smoke-free policy was introduced) using incident reports completed by staff in a large mental health organization in London, UK. Sixty-one smoking-related incidents occurred during the indoor-only smoke-free policy period; 32 smoking-related incidents occurred during the comprehensive smoke-free policy. We identified four antecedent categories for physical violence: i) patient request to smoke denied by staff; ii) during a supervised smoking break; iii) staff response to a patient breach of the smoke-free policy iv) asking for, trading or stealing smoking materials. The antecedent pattern changed across the two policy periods, with fewer incidents of denying a patient's request to smoke and a greater number of incidents involving staff responding to breaches occurring after the introduction of the comprehensive smoke-free policy. The prohibition of smoking breaks removed this source of violence. Timeout and PRN medication were the most common containment interventions. Understanding the context of smoking-related violence may inform clinical guidelines about its prevention and management.

E-cigarette use and associated factors among smokers with severe mental illness.

INTRODUCTION: Smoking is more prevalent among people with severe mental illness (SMI) than the general population. E-cigarettes could provide an effective means of helping people to quit smoking. The aim of this paper is to explore the use of e-cigarettes and factors related to their use in people smokers with SMI. METHODS: This is a cross sectional study including adult smokers with a documented diagnosis of SMI (ICD-10) recruited to the SCIMITAR + trial (2015-2016) from primary and secondary care. At baseline, participants were asked for demographic information and about their use of e-cigarettes. Data was were analysed to explore factors associated with e-cigarette use. After testing bivariate associations, logistic regressions were conducted. RESULTS: Among 526 participants, 58.7% were male, mean age 46 years (SD 12.1), the majority (70.3%) had tried an e-cigarette. Among those who had ever tried an e-cigarette, over half (54.6%) reported the reason was to quit smoking, while 13.9% reported that the reason was to reduce smoking. Having an educational qualification of GCSE or higher (odds ratio 2.17, 95% CI 1.22 to 3.86, p = 0.008) and having made a quit attempt in the past six months (OR 1.66, 95% CI 1.04 to 2.63, p = 0.032) was associated with ever having tried an e-cigarette. CONCLUSIONS: Ever use of an e-cigarette was associated with education levels and recent quit attempts. Future trials could explore the effectiveness of e-cigarettes as a cessation aid in this participant group.

A cluster feasibility trial to explore the uptake and use of e-cigarettes versus usual care offered to smokers attending homeless centres in Great Britain.

Smoking rates in the UK are at an all-time low but this masks considerable inequalities; prevalence amongst adults who are homeless remains four times higher than the national average. The objective of this trial was to assess the feasibility of supplying free e-cigarette starter kits to smokers accessing homeless centres and to estimate parameters to inform a possible future larger trial. In this feasibility cluster trial, four homeless centres in Great Britain were non-randomly allocated to either a Usual Care (UC) or E-Cigarette (EC) arm. Smokers attending the centres were recruited by staff. UC arm participants (N = 32) received advice to quit and signposting to the local Stop Smoking Service. EC arm participants (N = 48) received an EC starter kit and 4-weeks supply of e-liquid. Outcome measures were recruitment and retention rates, use of ECs, smoking cessation/reduction and completion of measures required for economic evaluation. Eighty (mean age 43 years; 65% male) of the 153 eligible participants who were invited to participate, were successfully recruited (52%) within a five-month period, and 47 (59%) of these were retained at 24 weeks. The EC intervention was well received with minimal negative effects and very few unintended consequences (e.g. lost, theft, adding illicit substances). In both study arm, depression and anxiety scores declined over the duration of the study. Substance dependence scores remained constant. Assuming those with missing follow up data were smoking, CO validated sustained abstinence at 24 weeks was 3/48 (6.25%) and 0/32 (0%) respectively for the EC and UC arms. Almost all participants present at follow-up visits completed data collection for healthcare service and health-related quality of life measures. Providing an e-cigarette starter kit to smokers experiencing homelessness was associated with reasonable recruitment and retention rates and promising evidence of effectiveness and cost-effectiveness.

Smoking and common mental disorders in patients with chronic conditions: An analysis of data collected via a web-based screening system.

OBJECTIVE: Smoking is the largest preventable cause of death and disability in the UK and remains pervasive in people with mental disorders and in general hospital patients. We aimed to quantify the prevalence of mental disorders and smoking, examining associations between mental disorders and smoking in patients with chronic physical conditions. METHOD: Data were collected via routine screening systems implemented across two London NHS Foundation Trusts. The prevalence of mental disorder, current smoking, nicotine dependence and wanting help with quitting smoking were quantified, and the relationships between mental disorder and smoking were examined, adjusting for age, gender and physical illness, with multiple regression models. RESULTS: A total of 7878 patients were screened; 23.2% screened positive for probable major depressive disorder, and 18.5% for probable generalised anxiety disorder. Overall, 31.4% and 29.2% of patients with probable major depressive disorder or generalised anxiety disorder respectively were current smokers. Probable major depression and generalised anxiety disorder were associated with 93% and 44% increased odds of being a current smoker respectively. Patients with depressive disorder also reported higher levels of nicotine dependence, and the presence of common mental disorder was not associated with odds of wanting help with quitting smoking. CONCLUSION: Common mental disorder in patients with chronic physical health conditions is a risk factor for markedly increased smoking prevalence and nicotine dependence. A general hospital encounter represents an opportunity to help patients who may benefit from such interventions.

Adherence therapy following acute exacerbation of schizophrenia: A randomised controlled trial in Thailand.

BACKGROUND: Up to 50% of patients with schizophrenia are non-adherent with antipsychotic medication. AIMS: To establish the efficacy of adherence therapy (AT) compared to treatment as usual (TAU) in improving clinical outcomes in patients with schizophrenia following an acute exacerbation of illness. METHOD: A parallel-group, single-blind, randomised controlled trial. Fieldwork was conducted in Thailand. Patients received eight weekly sessions of AT in addition to TAU. The primary outcome was improvement in psychopathology (measured using the Positive and Negative Syndrome Scale (PANSS)) at 26-week follow-up. Secondary outcomes included patient attitudes towards medication, global functioning and side-effects. RESULTS: In total, 70 inpatients with schizophrenia were recruited to the trial. At 26-week follow-up, PANSS total scores improved in the AT compared to the TAU group by a mean of -3.94 points (effect size = 0.24). The number needed to treat (NNT) was 5. There was no significant effect on patients' attitudes towards treatment, functioning or medication side-effects. No treatment-related adverse effects were reported. CONCLUSION: AT improves psychopathology in Asian patients with schizophrenia following an acute exacerbation of illness.

Medication management for people with a diagnosis of schizophrenia.

Failure to keep up their antipsychotic medication is a major cause of relapse in people with psychosis. Compliance therapy, a pragmatic intervention based on motivational interviewing and cognitive behavioural therapy, is effective in enhancing concordance and reducing the risk of relapse. There is emerging evidence that after training in medication management, mental health nurses are able to deliver compliance therapy to people with a diagnosis of schizophrenia.