The 2022 Commonwealth Games (B2022) was hosted by Birmingham, United Kingdom (UK) from July, 28 2022 to August 8, 2022. As a major global sporting event and mass gathering, B2022 included over 4,500 athletes (from 72 countries and territories) and attracted 1.5 million spectators. Robust public health surveillance and support for health protection incidents was required from the UK Health Security Agency (UKHSA) to protect the health of both those directly involved in B2022, and the local population.

UKHSA surveillance activities in the UK West Midlands region were enhanced, utilizing lessons learned from the response to the London 2012 Olympic and Paralympic Games and the 2021 G7 Summit (hosted in England). Enhancements included: adaptation of existing and development of new methods for the identification of increased activity of a range of pathogens/diseases/conditions of particular concern to a mass gathering; standardized daily situation reporting to inform both public health action and the B2022 organizing committee. Three streams of routine UKHSA surveillance data were assessed each day: a UKHSA health protection/clinical management system, statutory laboratory reports of infection, and syndromic surveillance. Bespoke surveillance was also implemented using B2022 health data sources.

Enhanced daily surveillance activities successfully met the need for next-day public health surveillance and reporting during B2022. No outbreaks or incidents of public health significance to the Games were identified. Syndromic surveillance reported an increased impact on local health services due to periods of extremely hot weather before and following the competition period, although these impacts were not unique to the Birmingham area.

Surveillance and epidemiology reporting for B2022 provided reassurance there were no incidents/outbreaks of public health significance to the Games. The enhancements made will inform future routine surveillance and reporting activities and will be employed for similar activities during future mass gathering events.

To investigate whether a psychiatry-specific virtual on-call training programme improved confidence of junior trainees in key areas of psychiatry practice. The programme comprised one 90 min lecture and a 2 h simulated on-call shift where participants were bleeped to complete a series of common on-call tasks, delivered via Microsoft Teams.

Thirty-eight trainees attended the lecture, with a significant improvement in confidence in performing seclusion reviews (P = 0.001), prescribing psychiatric medications for acute presentations (P < 0.001), working in section 136 suites (places of safety) (P = 0.001) and feeling prepared for psychiatric on-call shifts (P = 0.002). Respondents reported that a virtual on-call practical session would be useful for their training (median score of 7, interquartile range 5–7.75). Eighteen participants completed the virtual on-call session, with significant improvement in 9 out of the 10 tested domains (P < 0.001).

The programme can be conducted virtually, with low resource requirements. We believe it can improve trainee well-being, patient safety, the delivery of training and induction of rotating junior doctors during the COVID-19 pandemic and it supports the development and delivery of practical training in psychiatry.

Out-of-hours (‘on-call’) work can be perceived by junior doctors to be a daunting experience, associated with feeling unprepared and less supported. Simulated on-call programmes have been used to great effect in medicine and surgery to improve junior doctors’ skills in task prioritisation, interpersonal communication and confidence on-call. However, few psychiatry-specific programmes exist.

We aimed to: i) Develop a psychiatry specific virtual-on-call programme, ii) Investigate if the virtual-on-call programme improved confidence amongst junior trainees in key areas of psychiatry practice.

The Psychiatry Virtual-On-Call programme commenced in December 2020. It involves attending an introductory on-call lecture, followed later in the rotation by a 2-hour simulated on-call shift. All trainees are expected to attend during their attachment and the simulated shifts are ongoing. During the shift, trainees are ‘bleeped’ with different psychiatry specific tasks. They work through the tasks, using local intranet policies and telephone advice from the on-call psychiatry registrar. Due to COVID-19 the sessions were delivered virtually. Participants completed a questionnaire evaluating confidence in ten domains, rated on a Likert scale from 0–10. Questionnaires were completed at four time-points during the programme; pre- and post-introductory lecture and pre- and post-simulated shift. Scores were compared using Mann-Whitney U tests. Significance was defined as P < 0.05 with Bonferroni correction applied for multiple testing.

Twenty-nine trainees attended the introductory lecture, 25 and 21 trainees completed the pre- and post-lecture questionnaire respectively. A non-significant improvement in confidence was reported in three domains: seclusions reviews, prescribing, detention under the mental health act.

At the time of writing, ten trainees had attended the on-call shift. All participants completed a pre- and post-session questionnaire. The on-call shift was a useful learning experience (median score 9), and significantly increased perceived preparedness for on-call work from 3/10 to 7/10 (p < 0.001). Confidence was significantly improved in seven domains, most markedly in seclusion reviews, prescribing and mental health act tasks.

The psychiatry virtual-on-call programme fills a niche in the training curriculum and is perceived by trainees to be a useful learning experience. The introductory lecture improved confidence in several domains, but not as effectively as the on-call shift. The on-call shift was well received by participants and significantly improved confidence in 7/10 domains. In summary, the virtual-on-call experience improves preparedness for out-of-hours psychiatry work. Follow-up of participants at the end of their psychiatry rotation will ascertain if they felt the programme to be useful during out-of-hours work.

Around 60 000 people in England live in mental health supported accommodation. There are three main types: residential care, supported housing and floating outreach. Supported housing and floating outreach aim to support service users in moving on to more independent accommodation within 2 years, but there has been little research investigating their effectiveness.

A 30-month prospective cohort study investigating outcomes for users of mental health supported accommodation.

We used random sampling, accounting for relevant geographical variation factors, to recruit 87 services (22 residential care, 35 supported housing and 30 floating outreach) and 619 service users (residential care 159, supported housing 251, floating outreach 209) across England. We contacted services every 3 months to investigate the proportion of service users who successfully moved on to more independent accommodation. Multilevel modelling was used to estimate how much of the outcome and cost variations were due to service type and quality, after accounting for service-user characteristics.

Overall 243/586 participants successfully moved on (residential care 15/146, supported housing 96/244, floating outreach 132/196). This was most likely for floating outreach service users (versus residential care: odds ratio 7.96, 95% CI 2.92–21.69, P < 0.001; versus supported housing: odds ratio 2.74, 95% CI 1.01–7.41, P < 0.001) and was associated with reduced costs of care and two aspects of service quality: promotion of human rights and recovery-based practice.

Most people do not move on from supported accommodation within the expected time frame. Greater focus on human rights and recovery-based practice may increase service effectiveness.

Emergency admissions to hospital are a major financial burden on health services. In one area of the United Kingdom (UK), we evaluated a predictive risk stratification tool (PRISM) designed to support primary care practitioners to identify and manage patients at high risk of admission. We assessed the costs of implementing PRISM and its impact on health services costs. At the same time as the study, but independent of it, an incentive payment (‘QOF’) was introduced to encourage primary care practitioners to identify high risk patients and manage their care.

We conducted a randomized stepped wedge trial in thirty-two practices, with cluster-defined control and intervention phases, and participant-level anonymized linked outcomes. We analysed routine linked data on patient outcomes for 18 months (February 2013 – September 2014). We assigned standard unit costs in pound sterling to the resources utilized by each patient. Cost differences between the two study phases were used in conjunction with differences in the primary outcome (emergency admissions) to undertake a cost-effectiveness analysis.

We included outcomes for 230,099 registered patients. We estimated a PRISM implementation cost of GBP0.12 per patient per year.

Costs of emergency department attendances, outpatient visits, emergency and elective admissions to hospital, and general practice activity were higher per patient per year in the intervention phase than control phase (adjusted δ = GBP76, 95 percent Confidence Interval, CI GBP46, GBP106), an effect that was consistent and generally increased with risk level.

Despite low reported use of PRISM, it was associated with increased healthcare expenditure. This effect was unexpected and in the opposite direction to that intended. We cannot disentangle the effects of introducing the PRISM tool from those of imposing the QOF targets; however, since across the UK predictive risk stratification tools for emergency admissions have been introduced alongside incentives to focus on patients at risk, we believe that our findings are generalizable.

A predictive risk stratification tool (PRISM) to estimate a patient's risk of an emergency hospital admission in the following year was trialled in general practice in an area of the United Kingdom. PRISM's introduction coincided with a new incentive payment (‘QOF’) in the regional contract for family doctors to identify and manage the care of people at high risk of emergency hospital admission.

Alongside the trial, we carried out a complementary qualitative study of processes of change associated with PRISM's implementation. We aimed to describe how PRISM was understood, communicated, adopted, and used by practitioners, managers, local commissioners and policy makers. We gathered data through focus groups, interviews and questionnaires at three time points (baseline, mid-trial and end-trial). We analyzed data thematically, informed by Normalisation Process Theory (1).

All groups showed high awareness of PRISM, but raised concerns about whether it could identify patients not yet known, and about whether there were sufficient community-based services to respond to care needs identified. All practices reported using PRISM to fulfil their QOF targets, but after the QOF reporting period ended, only two practices continued to use it. Family doctors said PRISM changed their awareness of patients and focused them on targeting the highest-risk patients, though they were uncertain about the potential for positive impact on this group.

Though external factors supported its uptake in the short term, with a focus on the highest risk patients, PRISM did not become a sustained part of normal practice for primary care practitioners.

Current health policy assumes better quality services lead to better outcomes.

To investigate the relationship between quality of mental health rehabilitation services in England, local deprivation, service user characteristics and clinical outcomes.

Standardised tools were used to assess the quality of mental health rehabilitation units and service users' autonomy, quality of life, experiences of care and ratings of the therapeutic milieu. Multiple level modelling investigated relationships between service quality, service user characteristics and outcomes.

A total of 52/60 (87%) National Health Service trusts participated, comprising 133 units and 739 service users. All aspects of service quality were positively associated with service users' autonomy, experiences of care and therapeutic milieu, but there was no association with quality of life.

Quality of care is linked to better clinical outcomes in people with complex and longer-term mental health problems. Thus, investing in quality is likely to show real clinical gains.

Cardiovascular disease is more prevalent in patients with severe mental illness (SMI) than in the general population.

Seven geographically diverse centres were assigned a nurse to monitor the physical health of SMI patients in secondary care over a 2-year period in the “Well-being Support Programme” (WSP). A physical health screen was performed and patients were given individual weight and lifestyle advice including smoking cessation to reduce cardiovascular risk.

Nine hundred and sixty-six outpatients with SMI >2 years were enrolled. The completion rate at 2 years was 80%. Significant improvements were observed in levels of physical activity (p < 0.0001), smoking (p < 0.05) and diet (p < 0.0001). There were no changes in mean BMI although 42% lost weight over 2 years. Self-esteem improved significantly. Low self-esteem decreased from 43% at baseline to 15% at 2 years (p < 0.0001). At the end of the programme significant cardiovascular risk factors remained, 46% of subjects smoked, 26% had hypertension and 81% had BMI >25.

Physical health problems are common in SMI subjects. Many patients completed 2 years follow up suggesting that this format of programme is an acceptable option for SMI patients. Cardiovascular risk factors were significantly improved. interventions such as the Well-being Support Programme should be made widely available to people with SMI.