Testing the feasibility of a co-designed intervention, comprising self-managed, home-based, exercise training with embedded behavioural support and compression therapy for people with venous leg ulcers receiving treatment at home (FISCU-II).

BACKGROUND: Venous leg ulcers (VLUs) heal slowly, are painful for patients and are costly for healthcare systems; they also affect patients' quality of life. Previous work suggests that supervised exercise training used in combination with compression therapy may offer clinical benefits. However, a large population of people with VLUs are unable to access such an intervention due to frailty and age. OBJECTIVES: To assess the feasibility of 'FISCU Home' (a co-designed, 12-week home-based self-managed lifestyle programme based on exercise and behaviour support) as an adjunct therapy to compression in people with VLUs. METHODS: Forty people with VLUs, receiving treatment at home, were recruited from community nursing and tissue viability teams, and via a newspaper advertisement. Participants were randomized 1 : 1 either to exercise with behaviour support (three times per week) plus compression therapy or compression only. The feasibility of the programme was assessed using progression criteria that included exercise attendance rate, loss to follow-up, patient preference(s) and adverse events (AEs). Baseline assessments were repeated at 12 weeks and 6 months. Secondary outcomes (i.e. ulcer recurrence, healing rate and healing time) were also documented at these intervals. Intervention and healthcare utilization costs were calculated. RESULTS: The study recruitment rate was 65%, while 75% of the exercise group participants attended all scheduled exercise sessions. All participants completed compression therapy. No serious AEs or exercise-related AEs were reported. Median (interquartile range) ulcer healing time was shorter in the exercise group [29 (7-108) vs. 42 (6-116) weeks]. CONCLUSIONS: The feasibility and acceptability of both a home- and exercise-based lifestyle intervention in conjunction with compression therapy and the study procedures are supported.

Promoting and Maintaining Changes in Smoking Behavior for Patients Following Discharge from a Smoke-free Mental Health Inpatient Stay: Development of a Complex Intervention Using the Behavior Change Wheel.

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.

Investigating Changes in Patients' Smoking Behavior, Tobacco Dependence, and Motivation to Stop Smoking Following a "Smoke-Free" Mental Health Inpatient Stay: Results From a Longitudinal Survey in England.

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.

A bespoke smoking cessation service compared with treatment as usual for people with severe mental ill health: the SCIMITAR+ RCT.

BACKGROUND: There is a high prevalence of smoking among people with severe mental ill health (SMI). Helping people with SMI to quit smoking could improve their health and longevity, and reduce health inequalities. However, those with SMI are less likely to access and engage with routine smoking cessation services than the general population. OBJECTIVES: To compare the clinical effectiveness and cost-effectiveness of a bespoke smoking cessation (BSC) intervention with usual stop smoking services for people with SMI. DESIGN: A pragmatic, two-arm, individually randomised controlled trial. SETTING: Primary care and secondary care mental health services in England. PARTICIPANTS: Smokers aged ≥ 18 years with SMI who would like to cut down on or quit smoking. INTERVENTIONS: A BSC intervention delivered by mental health specialists trained to deliver evidence-supported smoking cessation interventions compared with usual care. MAIN OUTCOME MEASURES: The primary outcome was self-reported, CO-verified smoking cessation at 12 months. Smoking-related secondary outcomes were self-reported smoking cessation, the number of cigarettes smoked per day, the Fagerström Test for Nicotine Dependence and the Motivation to Quit questionnaire. Other secondary outcomes were Patient Health Questionnaire-9 items, Generalised Anxiety Disorder Assessment-7 items and 12-Item Short-Form Health Survey, to assess mental health and body mass index measured at 6 and 12 months post randomisation. RESULTS: The trial randomised 526 people (265 to the intervention group, 261 to the usual-care group) aged 19 to 72 years (mean 46 years). About 60% of participants were male. Participants smoked between 3 and 100 cigarettes per day (mean 25 cigarettes per day) at baseline. The intervention group had a higher rate of exhaled CO-verified smoking cessation at 6 and 12 months than the usual-care group [adjusted odds ratio (OR) 12 months: 1.6, 95% confidence interval (CI) 0.9 to 2.8; adjusted OR 6 months: 2.4, 95% CI 1.2 to 4.7]. This was not statistically significant at 12 months (p = 0.12) but was statistically significant at 6 months (p = 0.01). In total, 111 serious adverse events were reported (69 in the BSC group and 42 in the usual-care group); the majority were unplanned hospitalisations due to a deterioration in mental health (n = 98). The intervention is likely (57%) to be less costly but more effective than usual care; however, this result was not necessarily associated with participants' smoking status. LIMITATIONS: Follow-up was not blind to treatment allocation. However, the primary outcome included a biochemically verified end point, less susceptible to observer biases. Some participants experienced difficulties in accessing nicotine replacement therapy because of changes in service provision. Efforts were made to help participants access nicotine replacement therapy, but this may have affected participants' quit attempt. CONCLUSIONS: People with SMI who received the intervention were more likely to have stopped smoking at 6 months. Although more people who received the intervention had stopped smoking at 12 months, this was not statistically significant. FUTURE WORK: Further research is needed to establish how quitting can be sustained among people with SMI. TRIAL REGISTRATION: Current Controlled Trials ISRCTN72955454. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 50. See the NIHR Journals Library website for further project information.

Smoking is an important health issue, especially among people who have experienced mental ill health such as schizophrenia or bipolar disorder. This is because people with severe mental ill health (SMI) are more likely to smoke than the general population. Despite this, they are less likely to get help to stop smoking, and it may be that people with mental ill health problems need greater support to help them stop smoking. To address this problem, we developed and tested a 'bespoke smoking cessation' (BSC) service tailored to people with SMI. People aged ≥ 18 years who said that they would like to stop smoking were randomly allocated to either a BSC service or the usual stop smoking services. Those in the BSC service were allocated a mental health professional who had been trained to deliver smoking cessation interventions. The mental health professional worked with the participant and their care team to advise on stop smoking medication and provide information, support and motivation. Usual-care participants were signposted to local smoking services, but their subsequent care was not directly provided or supervised by trial smoking cessation advisors. Between October 2015 and December 2016, 526 people with SMI were recruited into the study: 265 of these people were randomly assigned to the BSC service and 261 were randomly assigned to usual care. At 6 and 12 months after randomisation, participants completed questionnaires that asked about their smoking status and health. Participants had their smoking status tested by measuring the amount of carbon monoxide in their breath. After 6 months, more people who received the BSC intervention had stopped smoking than those who had received usual care. At 12 months, the results were less clear in terms of the difference in the number of people who had stopped smoking. The BSC service cost less than or similar to usual care, when considering the overall health-care services. The improvement in health of people who received the BSC service remains uncertain. In addition, we do not know whether or not this was related to people stopping smoking.

Smoking cessation for people with severe mental illness (SCIMITAR+): a pragmatic randomised controlled trial.

BACKGROUND: People with severe mental illnesses such as schizophrenia are three times more likely to smoke than the wider population, contributing to widening health inequalities. Smoking remains the largest modifiable risk factor for this health inequality, but people with severe mental illness have not historically engaged with smoking cessation services. We aimed to test the effectiveness of a combined behavioural and pharmacological smoking cessation intervention targeted specifically at people with severe mental illness. METHODS: In the smoking cessation intervention for severe mental illness (SCIMITAR+) trial, a pragmatic, randomised controlled study, we recruited heavy smokers with bipolar disorder or schizophrenia from 16 primary care and 21 community-based mental health sites in the UK. Participants were eligible if they were aged 18 years or older, and smoked at least five cigarettes per day. Exclusion criteria included substantial comorbid drug or alcohol problems and people who lacked capacity to consent at the time of recruitment. Using computer-generated random numbers, participants were randomly assigned (1:1) to a bespoke smoking cessation intervention or to usual care. Participants, mental health specialists, and primary care physicians were unmasked to assignment. The bespoke smoking cessation intervention consisted of behavioural support from a mental health smoking cessation practitioner and pharmacological aids for smoking cessation, with adaptations for people with severe mental illness-such as, extended pre-quit sessions, cut down to quit, and home visits. Access to pharmacotherapy was via primary care after discussion with the smoking cessation specialist. Under usual care participants were offered access to local smoking cessation services not specifically designed for people with severe mental illnesses. The primary endpoint was smoking cessation at 12 months ascertained via carbon monoxide measurements below 10 parts per million and self-reported cessation for the past 7 days. Secondary endpoints were biologically verified smoking cessation at 6 months; number of cigarettes smoked per day, Fagerström Test for Nicotine Dependence (FTND) and Motivation to Quit (MTQ) questionnaire; general and mental health functioning determined via the Patient Health Questionnaire-9 (PHQ-9), the Generalised Anxiety Disorder-7 (GAD-7) questionnaire, and 12-Item Short Form Health Survey (SF-12); and body-mass index (BMI). This trial was registerd with the ISRCTN registry, number ISRCTN72955454, and is complete. FINDINGS: Between Oct 7, 2015, and Dec 16, 2016, 526 eligible patients were randomly assigned to the bespoke smoking cessation intervention (n=265) or usual care (n=261). 309 (59%) participants were male, median age was 47·2 years (IQR 36·3-54·5), with high nicotine dependence (mean 24 cigarettes per day [SD 13·2]), and the most common severe mental disorders were schizophrenia or other psychotic illness (n=343 [65%]), bipolar disorder (n=115 [22%]), and schizoaffective disorder (n=66 [13%]). 234 (88%) of intervention participants engaged with the treatment programme and attended 6·4 (SD 3·5) quit smoking sessions, with an average duration of 39 min (SD 17; median 35 min, range 5-120). Verified quit data at 12 months were available for 219 (84%) of 261 usual care and 223 (84%) of 265 intervention participants. The proportion of participants who had quit at 12 months was higher in the intervention group than in the usual care group, but non-significantly (34 [15%] of 223 [13% of those assigned to group] vs 22 [10%] of 219 [8% of those assigned to group], risk difference 5·2%, 95% CI -1·0 to 11·4; odds ratio [OR] 1·6, 95% CI 0·9 to 2·9; p=0·10). The proportion of participants who quit at 6 months was significantly higher in the intervention group than in the usual care group (32 [14%] of 226 vs 14 [6%] of 217; risk difference 7·7%, 95% CI 2·1 to 13·3; OR 2·4, 95% CI 1·2 to 4·6; p=0·010). The incidence rate ratio for number of cigarettes smoked per day at 6 months was 0·90 (95% CI 0·80 to 1·01; p=0·079), and at 12 months was 1·00 (0·89 to 1·13; p=0·95). At both 6 months and 12 months, the intervention group was non-significantly favoured in the FTND (adjusted mean difference 6 months -0·18, 95% CI -0·53 to 0·17, p=0·32; and 12 months -0·01, -0·39 to 0·38, p=0·97) and MTQ questionnaire (adjusted mean difference 0·58, -0·01 to 1·17, p=0·056; and 12 months 0·64, 0·04 to 1·24, p=0·038). The PHQ-9 showed no difference between the groups (adjusted mean difference at 6 months 0·20, 95% CI -0·85 to 1·24 vs 12 months -0·12, -1·18 to 0·94). For the SF-12 survey, we saw evidence of improvement in physical health in the intervention group at 6 months (adjusted mean difference 1·75, 95% CI 0·21 to 3·28), but this difference was not evident at 12 months (0·59, -1·07 to 2·26); and we saw no difference in mental health between the groups at 6 or 12 months (adjusted mean difference at 6 months -0·73, 95% CI -2·82 to 1·36, and 12 months -0·41, -2·35 to 1·53). The GAD-7 questionnaire showed no difference between the groups (adjusted mean difference at 6 months -0·32 95% CI -1·26 to 0·62 vs 12 months -0·10, -1·05 to 0·86). No difference in BMI was seen between the groups (adjusted mean difference 6 months 0·16, 95% CI -0·54 to 0·85; 12 months 0·25, -0·62 to 1·13). INTERPRETATION: This bespoke intervention is a candidate model of smoking cessation for clinicians and policy makers to address high prevalence of smoking. The incidence of quitting at 6 months shows that smoking cessation can be achieved, but the waning of this effect by 12 months means more effort is needed for sustained quitting. FUNDING: National Institute for Health Research Health Technology Assessment Programme.

PLEASANT: Preventing and Lessening Exacerbations of Asthma in School-age children Associated with a New Term - a cluster randomised controlled trial and economic evaluation.

BACKGROUND: Asthma episodes and deaths are known to be seasonal. A number of reports have shown peaks in asthma episodes in school-aged children associated with the return to school following the summer vacation. A fall in prescription collection in the month of August has been observed, and was associated with an increase in the number of unscheduled contacts after the return to school in September. OBJECTIVE: The primary objective of the study was to assess whether or not a NHS-delivered public health intervention reduces the September peak in unscheduled medical contacts. DESIGN: Cluster randomised trial, with the unit of randomisation being 142 NHS general practices, and trial-based economic evaluation. SETTING: Primary care. INTERVENTION: A letter sent (n = 70 practices) in July from their general practitioner (GP) to parents/carers of school-aged children with asthma to remind them of the importance of taking their medication, and to ensure that they have sufficient medication prior to the start of the new school year in September. The control group received usual care. MAIN OUTCOME MEASURES: The primary outcome measure was the proportion of children aged 5-16 years who had an unscheduled medical contact in September 2013. Supporting end points included the proportion of children who collected prescriptions in August 2013 and unscheduled contacts through the following 12 months. Economic end points were quality-adjusted life-years (QALYs) gained and costs from an NHS and Personal Social Services perspective. RESULTS: There is no evidence of effect in terms of unscheduled contacts in September. Among children aged 5-16 years, the odds ratio (OR) was 1.09 [95% confidence interval (CI) 0.96 to 1.25] against the intervention. The intervention did increase the proportion of children collecting a prescription in August (OR 1.43, 95% CI 1.24 to 1.64) as well as scheduled contacts in the same month (OR 1.13, 95% CI 0.84 to 1.52). For the wider time intervals (September-December 2013 and September-August 2014), there is weak evidence of the intervention reducing unscheduled contacts. The intervention did not reduce unscheduled care in September, although it succeeded in increasing the proportion of children collecting prescriptions in August as well as having scheduled contacts in the same month. These unscheduled contacts in September could be a result of the intervention, as GPs may have wanted to see patients before issuing a prescription. The economic analysis estimated a high probability that the intervention was cost-saving, for baseline-adjusted costs, across both base-case and sensitivity analyses. There was no increase in QALYs. LIMITATION: The use of routine data led to uncertainty in the coding of medical contacts. The uncertainty was mitigated by advice from a GP adjudication panel. CONCLUSIONS: The intervention did not reduce unscheduled care in September, although it succeeded in increasing the proportion of children both collecting prescriptions and having scheduled contacts in August. After September there is weak evidence in favour of the intervention. The intervention had a favourable impact on costs but did not demonstrate any impact on QALYs. The results of the trial indicate that further work is required on assessing and understanding adherence, both in terms of using routine data to make quantitative assessments, and through additional qualitative interviews with key stakeholders such as practice nurses, GPs and a wider group of children with asthma. TRIAL REGISTRATION: Current Controlled Trials ISRCTN03000938. FUNDING DETAILS: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 20, No. 93. See the HTA programme website for further project information.