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Many health-care professionals leave clinical practice temporarily or permanently. Interventions designed to facilitate the return of health-care professionals fail to consider returners’ psychosocial needs despite their importance for patient care. This study aims to evaluate the efficacy of a psychoeducational intervention in improving personal skills and well-being among UK-based health-care professionals returning to clinical practice.

In total, 20 health-care professionals took part in the one-day intervention and completed measures of demographics, self-efficacy, positive attitudes towards work and perceived job resources before and after the intervention. A baseline comparison group of 18 health-care professionals was also recruited.

Significant associations were detected between return-to-work stage and study group. Following the intervention, participants reported improvements in self-efficacy and, generally, perceived more job resources, whereas positive attitudes towards work decreased. While none of these changes were significant, the intervention was deemed acceptable by participants. This study provides modest but promising evidence for the role of psychoeducation as a tool in supporting the psychosocial needs of returning health-care professionals.

Additional research is needed to clarify the reliability of intervention effects, its effectiveness compared to alternative interventions, and the impact across different subgroups of returning health-care professionals.

Return-to-practice interventions should address the psychosocial needs of health-care professionals in terms of their personal skills and well-being. Psychoeducation can increase self-efficacy and perceptions of job resources among returning health-care professionals.

This study sheds light on a relatively understudied, but fundamental area – the psychosocial challenges of health-care professionals returning to clinical practice – and further justifies the need for tailored interventions.

During COVID-19, Maudsley Simulation successfully pivoted to fully online delivery of simulation-based education (SBE) in mental health. In migrating digitally, the simulation faculty experienced a range of new phenomena and challenges. The authors’ experiences may be transferable to other specialities and for other educator groups. By sharing the authors’ experiences, this study aims to support others adapt to online SBE.

This piece represents the authors’ collective reflections on the challenges of adapting their facilitation skills to the online environment. It also offers various suggestions on how to improve the learner experience in view of these challenges.

Beyond merely platform orientation and operating procedure familiarisation, the team gained insights into ensuring optimal learning, engagement and participant experience during online deliveries. Delivery of online SBE brings several potential barriers to psychological safety and these warrant careful consideration by experienced simulationists.

Optimising participant engagement and psychological safety remain key considerations despite this novel medium. Facilitators must be willing to adapt accordingly to begin delivering high-quality online SBE.

From their experience, facilitators must reframe their debriefing expectations and adjust how they engage participants and manage group dynamics given the inherently different nature of this new learning environment.

Individuals health with intellectual disabilities (ID) experience comorbid physical and mental health needs and have poorer outcomes resulting in early mortality. Currently, many training provisions based on ID exist; however, limited research supports their effectiveness. High-fidelity simulation is an innovative training mechanism with promising preliminary results. This study aims to evaluate the longitudinal impact of simulation training on clinical practice in ID.

A mixed-method approach was used in this study. A one-day simulation course using actors who had ID was delivered to 39 health-care professionals from across London hospitals. Nine semi-structured interviews were conducted 12–18 months post training.

High-fidelity simulation training is an effective training modality, which has a sustainable impact on participants, their clinical practice and patients. Core features of the training including debriefing, the use and type of actors, scenario design and the facilitators are crucial learning mechanisms which impacts learning outcomes and changes to behaviour in clinical practice and settings.

To the best of the authors’ knowledge, this study is the first to longitudinally evaluate high-fidelity simulation training designed to improve the physical and mental health needs of those with ID. The research begins to bridge an important gap in the current literature, with a need for more research.

Public mental health training can effectively support well-being at a population level. The application of this type of training is increasingly prevalent, however, training evaluation is currently limited and inconsistent. This paper aims to summarise the characteristics of public mental health training available in England, presents key quality criteria for this training and identifies gaps in training provision.

This paper uses a pragmatic mixed-methods approach including database and Google Searches, focus groups and survey methods. The data analysis included a structured data extraction template for the training availability scoping and thematic analysis of the survey and focus groups.

This paper identifies a total of 74 training courses targeting workplace employees, young people and the general population. Most courses were delivered face-to-face (54), followed by e-learning (16) and blended modalities (4). This paper derives four core quality principles, focussing on the training approach, key features of training, trainer attributes and evaluation. There were no significant gaps in training provision, although areas for future development included consistency in public mental health terminology, systems and populations requiring additional training and the logistics of training delivery, etc.

The results contribute to the evidence base of interventions that are currently available, supporting the efforts to evaluate the impact of training provision in this area. This paper provides a novel approach to assessing training quality and discuss areas for development and innovation in this field.