Simulation Training Research Articles

Sequential adaptive e-learning and hands-on simulator training for unilateral biportal endoscopy (UBE) of the lumbar spine - results from an EANS Young Neurosurgeons hands-on course.

Unilateral biportal endoscopy (UBE) is a minimally invasive surgical (MIS) technique utilized for lumbar decompression, which has recently gained popularity in Europe. We aimed to explore the value of sequential adaptive e-learning, followed by simulator-based hands-on training modules for UBE at the occasion of the 2024 EANS Young Neurosurgeons meeting. An adaptive e-learning was designed by learning engineers (Area 9 Lyceum), based on theoretical content provided by two endoscopic spine surgeons. A two-module simulator training, consisting of an insight-the-box model (basic tasks for eye-hand coordination), followed by a realistic lumbar spine model (execution of an endoscopic decompression) was developed. Course participants completed the e-learning before the hands-on training course. Course experience was evaluated through a standardized self-assessment questionnaire containing a 5-point Likert scale and a 10-point numeric rating scale. Eleven of eighteen (61%) participants with different levels of professional education (62.5% residents in 1st -6th year of training, 37.5% board-certified) completed both trainings. Thirteen participants (72%) had no prior experience with UBE. The perception of knowledge after the e-learning module increased from 2.5 (SD 2) to 6.5 (SD 1.8; p = 0.039). The usefulness, enjoyment, and efficiency of the courses averaged a score of 8.0 (SD 1.8). Regarding the hands-on training, participants estimated an average increase in their skills from 2.9 (SD 1.8) to 6.8 (SD 2, p = 0.028). The overall rating of the two-module course was 7.9 (SD 2.2). Sequential e-learning and simulator training appear to be an effective educational adjunct to establish novel, MIS-techniques such as UBE.

The importance of combined use of spacing and testing effects for complex skills training: A quasi-experimental study

Introduction A major challenge is retention of complex clinical skills. Spacing training and testing have been demonstrated to increase knowledge and skill retention but the combination has not been previously investigated in complex clinical skills. The aim of our study was to compare the effectiveness of combined spacing and testing for Basic Life Support (BLS) and Advance Life Support (ALS) simulation training in one group (intervention group), with combined spacing and testing, and another group (control) that received simulation training in a single-session simulation training without testing. Methods A quasi-experimental study. Results Thirteen nursing students were in the intervention group and 18 in the control group. After three months, there was no significant reduction in retention of BLS knowledge (p > 0.05) or BLS skills (p < 0.05) in the intervention group, but there was a significant reduction in both (p < 0.05) in the control group. We found no significant reduction in retention of ALS knowledge in the control group (p > 0.05), but there was a significant reduction in the intervention group (p < 0.05). There was no significant decay of ALS skills in both groups (p < 0.05). Discussion This is the first study to demonstrate that combined spacing and testing could be highly effective for complex skills simulation training to increase retention after three months.

OGC SO16 - International upper GI robotic fellowship on the CMR Versius platform

Abstract Background The impetus for UGI surgery trainees to attain skills in robotic surgery is likely to increase following the global acceptance and utilisation of robotic platforms. UGI robotic fellowship programs are few in number and highly desirable providing trainees with a unique selling point when embarking on independent consultant practice. We describe the first UGI robotic surgery fellowship on the CMR Versius platform at the Gloucestershire Royal Hospital which has the largest experience of UGI robotic surgery on the CMR Versius platform in the UK, having performed over 200 cases including the first robot assisted minimally invasive oesophagectomy. Method A structured robotic training curriculum was created in collaboration with CMR Versius. It consists of a pre-clinical phase of E-learning (10 modules), simulator training (16 assessed tasks) and dry-laboratory training (a two-day course encompassing robotic system set-up, bed-side assist and assessed dry lab practical tasks). The clinical phase begins with bed-side assisting of robotic cases followed by supervised operating on the console. Operations performed on the console are recorded for review and evaluation. The videos will be scored by two independent surgeons using the modified Global Evaluation Assessment of Robotic Skills (mGEARS) score to track growth and progress. Results The E-learning modules and assessments were completed prior to commencement of the fellowship. The remainder of the pre-clinical phase of the curriculum were completed within 4 weeks of commencement followed by bed-side assisting. Once competent at bed-side assisting and able to demonstrate proficiency in set-up (selecting port site placement, docking, arm spacing and configuration), supervised console training was commenced 6 weeks into the fellowship. Console training began with robotic assisted laparoscopic assisted cholecystectomy to gain familiarity, confidence, and efficiency. After 6 cases as the only console surgeon, the surgical complexity of cases was progressed to hiatal surgery and Heller’s cardiomyotomy Conclusion A structured training curriculum with defined phases provides a feasible and effective framework for robotic fellowship training. Adherence to the pre-clinical phase of training allows safe and efficient progression to hands-on console experience. This is achievable within relatively short timeframe to allow for ample independent console surgeon experience and the development of proficiency within a 12-month fellowship period.

Decision-making during training of a Swedish navy command and control team: a quantitative study of workload effects.

The study compared two simulation environments for training of Swedish naval Command and Control teams by using indirect measures, including workload, combat readiness, and situation awareness. The literature explains simulation-based training as providing a safe avenue to practice relevant scenarios. Fidelity, the degree of realism in the simulation, and workload, the equilibrium between demands and assigned tasks, are crucial factors examined in this study of low- and high-fidelity naval simulations. This study was conducted to better understand the effects of various training methods. An experimental design with repeated measures was used with three consecutive escalating parts. The subjective, multidimensional assessment tool, NASA-Task Load Index was used to rate perceived workload. Combat readiness of the ship and mental demand yielded significant results. For combat readiness of the ship, there was a difference between the low and the high-fidelity setting, for the initial part of the scenario p = 0.037 and for the second part p = 0.028. Mental demand was experienced as higher in the low-fidelity setting, p = 0.036. Notably, the simulated internal battle training for onboard command teams in a low-fidelity setting was found to induce a level of stress comparable with that experienced in a high-fidelity setting. The results indicate that low-fidelity training results in a workload not distinguishable from high-fidelity training and has practical implications for increased use of low-fidelity training as part of (naval) command team training programmes.

Human-computer interaction interface design of flight simulator based on situation awareness.

To meet the comprehensive requirements of drivers for Human-Computer Interaction (HCI) during operation and to enhance situation awareness (SA), this paper proposes a design and evaluation method for flight simulator HCI interfaces grounded in SA. Firstly, the widely adopted Endsley's SA model, which comprehensively covers processes relevant to individual drivers was selected as the foundational framework. The study concentrates on flight, cruise, and landing scenarios within the simulator, analyzing and restructuring the information architecture of the HCI interface. Secondly, a self-assessment scale was developed based on the three-level model of information processing for SA to measure drivers' SA cognitive levels. The core scenarios of the simulation training were analyzed to establish a design-making process. Thirdly, invite participants were invited to engage in simulated driving sessions on the flight simulator, where their SA cognitive levels were assessed. An analysis of detail features was performed on samples with high SA cognitive levels. Subsequently, drivers' requirements for the control layout features of the HCI interface design were gathered through surveys. The design detail features of the HCI interface associated with high SA cognitive levels were identified and synthesized into four distinct dimensions to guide the detailed design process. Finally, participants engaged in simulated driving using the finalized interface design, and their SA cognitive levels were reassessed. The results demonstrated that the HCI interface design derived from this method significantly improved SA cognitive levels compared to the original design.

EDI&amp;S SO07 Future of Low-Cost Laparoscopic Cholecystectomy Simulation (LaChSi) Model: Integration of Segmentation-Based Artificial Intelligence Models for Realism Enhancement in Simulation-Based Laparoscopic Cholecystectomy Training in Lower-Middle-Income Countries

Abstract Background To introduce an approach of employing segmentation-based Artificial Intelligence (AI) models to meticulously isolate the silicon-based Laparoscopic Cholecystectomy Simulation Model (LaChSi) model within the laparoscopic trainer box, thereby enhancing realism. To assess the effectiveness of the AI Model to track camera angles to seamlessly replace the background with a virtual environment reminiscent of authentic intra-operative intra-abdominal visuals. Method The proposed methodology integrates a sophisticated segmentation model that identifies and accurately delineates the LaChSi Model within the laparoscopic Trainer box. Simultaneously, the model exhibits the capability to segregate the background, while closely monitoring camera angles for real-time adjustment. Importantly, the model is trained to perform precise segmentation of surgical tools, ensuring a comprehensive and realistic representation of the laparoscopic environment. Results Implementation of the proposed method is thought to demonstrate a notable improvement in trainees’ adaptation to surgical scenarios. The visual transition experienced by trainees moving from simulation-based surgeries to actual surgical environments will significantly reduce disparities increasing the effectiveness of the Laparoscopic simulation training. This will further avoid the need to use sensors and wires on the LaChSi model to simulate the surgical settings. Conclusion As the visual representation in simulations often deviates substantially from the intricate nuances of actual surgical procedures. This study introduces an innovative AI-based model that will contribute to the augmentation of surgical realism within simulation-based training. By effectively integrating segmentation techniques, our approach will minimise visual discontinuities, providing trainees with a more authentic and immersive experience, and ultimately fostering a smoother transition to acute surgical settings.

Content Validity for a 3D-Printed Model for Simulation-Based Training of Basic Epistaxis Management

Introduction Hands-on training of basic epistaxis management is often minimal during pregraduate medical training. The objective was to develop and gather structured content validity evidence for a 3D-printed model for simulation-based training and assessment of technical skills in basic epistaxis management. Methods A simulator for epistaxis management training was built based on publicly available 3D-print files with addition of tubing to mimic anterior bleeding. Ten otorhinolaryngologists evaluated the model after performing nasal cavity inspection and insertion and insufflation of a nasal tamponade device. Content validity evidence was collected following Messick's framework. Results Two content experts contributed to define features in the iterative building process. In the structured evaluation of the model, experienced clinicians found the appearance of the outer nose and the resistance when insufflating a nasal tamponade device into the nasal cavity satisfying (mean score of 3.9 and 4.7 out of 5, respectively), whereas the nasal cavity was found to be a bit too spacious compared with typical real-life conditions. Conclusions A 3D-printed simulator for simulation-based training of basic epistaxis management was successfully built. Content validity was gathered, and overall, content experts found the model to adequately represent the technical skills challenges for training novices such as medical students and junior doctors.

Assessing the Use of a Training Model Using Immersive Virtual Reality for Sacrospinous Fixation Surgery: A Pilot Study.

Sacrospinous fixation (SSF) is a surgical complex procedure for uterovaginal prolapse that may result in pudendal plexus and vascular damage. The objective was to evaluate a training model using virtual reality to perform SSF. We conducted a prospective single-center pilot study in the university's academic innovation department in November 2023. We recruited 20 participants, 10 gynecology resident surgeons (group 1) and 10 experienced gynecology surgeons (group 2). The mean age was 26.6 ± 0.6years in group 1 and 39.7 ± 3.1years in group 2. The satisfaction rate reached 90% in both groups. A scale from 1 to 4 (1 = not-at-all, 4 = completely) was used to assess participants' perceptions. The realism of the simulation was rated at 3.3 ± 0.1 in group 1 and 3.5 ± 0.2 in group 2 (p = 0.41), the haptic feedback was rated at 2.0 ± 0.3 and 1.8 ± 0.3 (p = 0.66), the mean exercise time was 6.4 ± 1.3min and 4.8 ± 0.7min (p = 0.58), and the mean success rate was 70.8 ± 3.2% and 83.5 ± 6.8% (p = 0.14). In group 2, left and right instruments were placed at 2.6 ± 0.8mm and 2.9 ± 0.7mm from the target respectively, and in group 1 at 4.8 ± 0.7mm and 3.8 ± 0.5mm respectively. Participants reported greater comfort in performing sacrospinous fixation after simulation training (3.0 ± 0.2 versus 2.3 ± 0.3, p = 0.17). Our virtual reality simulation model is feasible and accurate for SSF training for both residents and experienced surgeons with a high level of satisfaction. Virtual reality simulation improves technical skills and promotes surgical comfort.

The Making of Confident Surgeons: Why and How?

Low self-confidence in surgical residents can be associated with poor self-efficacy and perceptions of sub-optimal preparedness for practice at graduation. The influence of social and biologic determinants of confidence deserves further study. Through a randomized controlled trial of procedure-specific didactic and low fidelity simulation training for vaginal surgery, we showed positive correlations between self-confidence and objective performance in the real operating room for three different surgical procedures and through validated scales. This demonstrates an accurate ability of novice surgeons to self-monitor in a high-stakes environment. Our trial results (described in full elsewhere), combined with our multiple one-on-one teaching interactions with surgical trainees through the trial, incentivized us to evaluate self-confidence in view of optimizing it through directed training and feedback. The current opinion piece summarizes our main findings for surgical educators and emphasizes their role engaging with trainees at extremes of confidence.

Utilization of Generative Artificial Intelligence in Nursing Education: A Topic Modeling Analysis

The advent of artificial intelligence (AI) has prompted the introduction of novel digital technologies, including mobile learning and metaverse learning, into nursing students’ learning environments. This study used text network and topic modeling analyses to identify the research trends in generative AI in nursing education for students and patients in schools, hospitals, and community settings. Additionally, an ego network analysis using strengths, weaknesses, opportunities, and threats (SWOT) words was performed to develop a comprehensive understanding of factors that impact the integration of generative AI in nursing education. The literature was searched from five databases published until July 2024. After excluding studies whose abstracts were not available and removing duplicates, 139 articles were identified. The seven derived topics were labeled as usability in future scientific applications, application and integration of technology, simulation education, utility in image and text analysis, performance in exams, utility in assignments, and patient education. The ego network analysis focusing on the SWOT keywords revealed “healthcare”, “use”, and “risk” were common keywords. The limited emphasis on “threats”, “strengths”, and “weaknesses” compared to “opportunities” in the SWOT analysis indicated that these areas are relatively underexplored in nursing education. To integrate generative AI technology into education such as simulation training, teaching activities, and the development of personalized learning, it is necessary to identify relevant internal strengths and weaknesses of schools, hospitals, and communities that apply it, and plan practical application strategies aligned with clear institutional guidelines.

Enhancing Human-Computer Interaction in Augmented Reality (AR) and Virtual Reality (VR) Environments: The Role of Adaptive Interfaces and Haptic Feedback Systems

Human-Computer Interaction (HCI) in Augmented Reality (AR) and Virtual Reality (VR) environments has emerged as a critical area of research, shaping how users interact with immersive technologies. This study explores the design and development of advanced HCI frameworks in AR/VR environments, with a particular focus on adaptive interfaces and haptic feedback systems. Adaptive interfaces employ real-time data to personalize user experiences, while haptic feedback systems provide tactile sensations to bridge the gap between digital and physical interactions. The integration of these technologies enhances user engagement, immersion, and efficiency across applications such as gaming, training simulations, healthcare, and remote collaboration. This research investigates the challenges in creating intuitive, responsive systems and examines cutting-edge solutions in multimodal interactions, gesture recognition, and real-time feedback processing. By analyzing user performance and satisfaction, this study contributes to the refinement of AR/VR systems, paving the way for next-generation immersive environments.

Use of insitu simulation to improve team performance and utilization of a rapid sequence intubation checklist.

Intubation checklists have emerged as tools to reduce adverse events and improve efficiency during rapid sequence intubation (RSI) in pediatric emergency departments (PEDs). This study aimed to use multidisciplinary simulation (SIM) training as an educational tool to improve PED team performance during RSI scenarios through utilization of an RSI checklist. We created a checklist modeled after previously published PED checklists. PED multidisciplinary teams participated in video-recorded SIM training sessions involving a scenario requiring intubation three times, first without interruption then while receiving our intervention of rapid-cycle deliberate practice (RCDP) debriefing focusing on checklist utilization and team dynamics. Learners went through the scenario once more uninterrupted to apply learned skills. Team performance was evaluated via video review using the Simulation Team Assessment Tool (STAT) focusing on airway management and human factors sections. Scores were compared before and after intervention along with pre- and postintervention surveys. A total of 483 learners participated in 64 SIM training sessions, 44 of whom met inclusion criteria and were included for data analysis. Scores increased postintervention for airway management, human factors and in total. Least-squares mean differences for total, airway, and human factors scores were 9.55 (95% confidence interval [CI] 7.24-11.85), 4.22 (95% CI 2.91-5.52), and 5.33 (95% CI 3.86-6.8), respectively, which was statistically significant with p-value of <0.001 across all categories. Surveys demonstrated improved role understanding and checklist utilization comfort postintervention. This study supports the benefit of multidisciplinary SIM training with RCDP-style methodology as an educational method for improving airway management, teamwork skills, and RSI checklist utilization for PED staff. Incorporation of additional maintenance SIM sessions for ongoing education is likely to be further beneficial and would allow evaluation of degradation of skills over time following initial training.

Threats to masculinity provoke gun use: An experimental study using a firearm training simulator.

Threats to masculinity provoke gun use: An experimental study using a firearm training simulator.

Empowering Dementia Communication via Virtual Reality AI-Driven Simulations

The use of effective communication skills is essential for direct care workers to provide quality care for persons living with dementia (PLWD) in long-term service and support settings (LTSS). However, direct care workers often report feeling unprepared, lacking competence in care, and fear interacting with PLWD. This proof-of-concept study proposes Virtual reality Communication Training Optimizing Real-world Interactions (VICTORI) intervention, aiming to develop and evaluate the usability, acceptability, and preliminary effectiveness of virtual reality (VR) simulated communication training for direct care workers using artificial intelligence (AI)-generated patients with dementia. Care-related and social communication scenarios in dementia care will be developed, based on current literature, our validated communication instrument, and AI technology. Six modules consisting of pre-briefing, simulation facilitation, and de-briefing will be developed, refined, and evaluated based on an advisory board of experts and direct care workers’ quantitative and qualitative feedback. To test the usability, acceptability, and effectiveness of the VICTORI intervention, we will use a single group pre- and post-test intervention design, integrating quantitative measures and qualitative semi-structured interviews in this mixed-methods study. Thirty direct care workers will be recruited at two LTSS in North Texas. Direct care workers will participate in six VR-AI simulation commu-nication training sessions that include communication with AI-generated patients, real-time feedback, and detailed evaluation of communication behaviors. Each simulation will be recorded to further evaluate the partici-pant’s communication skills using the Dyadic Communi-cation Observational coding scheme in Dementia care (DCODE). Additionally, participants' potential side effects during VR simulation will be assessed using continuous physiological data and self-reported questionnaires at each simulation session. Communication knowledge and com-petence in dementia care will be assessed before and after training using self-reported questionnaires. Direct care workers will also be interviewed to assess acceptability and satisfaction with the VICTORI training. This proposal will introduce innovative training methods that leverage AI technology into communication training in dementia care. Objective assessments, including AI-based feedback, physiological data, and observational assessments, ensure the reliability and validity of the data to evaluate plausibility of VICTORI intervention.

DIGITAL TECHNOLOGIES TO IMPROVE THE EFFICIENCY OF TRAINING OF LABOUR PROTECTION SPECIALISTS

The article examines the role of digital technologies in the current period of industrial development and the transition to Industry 4.0 (the 4th Industrial Revolution), and specifically the use of virtual simulators for training qualified personnel in the field of industrial safety at oil and gas facilities.The practice of using virtual simulators for occupational safety specialists is not yet widespread. The developed virtual simulators can simulate several types of production activities, such as working at height during the repair of a storage tank for oil products, working with lifting mechanisms and welding, and also provide an opportunity for feedback to improve the skills and knowledge of workers supervising and monitoring compliance with safety requirements in production.

Developing and testing Advance Choice Document implementation resources for Black African and Caribbean people with experience of compulsory psychiatric admission

BackgroundAdvance Choice Documents (ACDs) have been recommended for use in England and Wales based on evidence from trials that show that they can reduce involuntary hospitalisation, which disproportionately affects Black African and Caribbean people. Our aim was therefore to develop and test ACD implementation resources and processes for Black people who have previously been involuntarily hospitalised and the people that support them.MethodsResource co-production workshops were held to inform the development of the ACD template and two types of training for all stakeholders, comprising a Recovery College course and simulation training. An ACD facilitator then used the ACD template developed through the workshops to create personalised ACDs with service users and mental health staff over a series of meetings. Interviews were then conducted with service user and staff participants and analysed to document their experience of the process and opinions on ACDs. Other implementation strategies were also employed alongside to support and optimise the creation of ACDs.ResultsNine ACDs were completed and were largely reported as appropriate, acceptable, and feasible to service users and staff. Both reported it being an empowering process that encouraged hope for better future treatment and therefore better wellbeing. Uncertainty was also expressed about the confidence people had that ACDs would be adhered to/honoured, primarily due to staff workload. The information provision training and the skills training were generally considered to be informative by trainees.ConclusionsThe project has developed an ACD creation resource that was reported as agreeable to all stakeholders; however, the generalisability of the findings is limited due to the small sample size. The project also highlights the importance of staff and ACD facilitator capacity and good therapeutic relationships in ACD completion. Further research is needed to determine the adjustments needed for large scale use, including for those under age 18 and those under the care of forensic mental health services; and how to include carers/supporters more in the process.

Cross-Sectional Survey to Assess Hospital System Readiness for Hemorrhage During and After Cesarean Delivery in Africa.

Mothers in Africa are 50 times more likely to die after cesarean delivery (CD) than in high-income countries, largely due to hemorrhage. It is unclear whether countries across Africa are adequately equipped to prevent and treat postpartum hemorrhage (PPH) during and after CD. This was a cross-sectional survey of anesthesiologists and obstetricians across the African Perioperative Research Group (APORG). The primary objective was to determine readiness of the hospital system to implement the World Health Organization (WHO) recommendations for prevention and treatment of PPH during and after CD. The secondary objectives were to evaluate the availability of blood products, skilled human resources and establish available postoperative care after CD. Survey question format was close-ended or Likert scale, with options "always," "sometimes," or "never." Responses were analyzed from 1 respondent from each of 140 hospitals from 29 low- and middle-income countries across Africa. Most respondents completed every data field on the case report form. Regarding WHO recommendations on prevention of PPH, oxytocin and misoprostol were available in 130/139 (93.5%) and 101/138 (73.2%) hospitals, respectively. There was limited access to heat-stable carbetocin (12/138 [8.7%]) and ergometrine (35/135, [25.9%]). Controlled cord traction for removal of placenta was always performed in 133/135 (98.5%) hospitals. Delayed cord clamping when neonatal resuscitation was not indicated, was not performed universally (86/134 [64.2%]). Regarding the treatment of PPH, crystalloids were always available in 133/139 (95.7%) hospitals, and the preferred initial resuscitation fluid (125/138 [90.6%]). Uterine massage was always performed in 117/139 (84.2%) hospitals. Tranexamic acid was always available in 97/139 (69.8%) hospitals. The availability of intrauterine balloon tamponade devices was limited. Most had immediate access to theater (126/139 [90.6%]). Responses concerning organizational recommendations showed that 113/136 (83.1%) hospitals had written protocols for the treatment of PPH. Protocols for patient referral and simulation training were limited. Most hospitals had access to emergency blood (102/139 [73.4%]). There was limited access to blood component therapy, with platelets available at 32/138 (23.2%), cryoprecipitate at 21/138 (15.2%) and fibrinogen at 11/139 (7.9%) hospitals. In-person specialist cover was reduced after-hours. Important WHO-recommended measures to reduce hemorrhage during and after CD, are not currently available in many hospitals across Africa. It is likely that the lack of a combination of factors leads to failure to rescue mothers in Africa from postoperative complications. These findings should facilitate codesign of quality improvement initiatives to reduce hemorrhage related to CD.

Optimizing ambulance nurse performance in southern Tuscany: insights from a Delphi study

This study aims to enhance the performance of ambulance nurses in Southern Tuscany through a Delphi method analysis. Conducted from January to December 2022, the research engaged 16 expert participants from a Tuscan health agency. Data on 89 interventions performed by "India" ambulances, which are nurse-led emergency vehicles, were collected. The Delphi method facilitated structured communication among the experts over three rounds, resulting in consensus on nine key intervention proposals. These proposals span areas including staff training, measurement and data collection methods, technologies and materials, and work environments. Key recommendations include prioritizing high-fidelity simulation training, improving data collection for clinical risk, and standardizing equipment across all emergency units. The study highlights the importance of continuous professional development, technological integration, and supportive work environments to optimize the effectiveness of pre-hospital emergency care. These findings provide a practical roadmap for enhancing the competencies and performance of ambulance nurses, ultimately improving patient outcomes in emergency situations.

A novel low-cost high-fidelity porcine model of liver metastases for simulation training in robotic parenchyma-preserving liver resection.

In the era of minimally invasive surgery (MIS), parenchyma-preserving liver resections are gaining prominence with the potential to offer improved perioperative outcomes without compromising oncological safety. The surgeon learning curve remains challenging, and simulation plays a key role in surgical training. Existing simulation models can be limited by suboptimal fidelity and high cost. We describe a novel, reproducible, high-fidelity, low-cost liver metastases model using porcine livers from adult Landrace pigs, with porcine perinephric fat used to simulate subcapsular metastases. This model was then utilised in a training session for surgical trainees performing robotic parenchyma-preserving surgery (PPS) under the guidance of expert robotic surgeons, with feedback being recorded. Trainees rated the model highly on its fidelity to human liver simulation (median score 9), tissue handling (median score 8), and overall usefulness (median score 9). Tissue handling was felt to simulate in vivo liver resection closely, while suggestions for improvement included adding simulated blood flow. This is a novel, low-cost, high-fidelity simulation model of liver metastases with high acceptability to surgical trainees, which could be readily adopted by other training centres.

Interprofessional Team Training With Virtual Reality: Acceptance, Learning Outcome, and Feasibility Evaluation Study.

Effective interprofessional teamwork is vital for ensuring high-quality patient care, especially in emergency medicine. However, interprofessional education often fails to facilitate meaningful interaction among health care disciplines. It is therefore imperative to afford early opportunities for cultivating interprofessional teamwork skills. While in-person simulation-based training has been shown to improve performance, this is resource-intensive, especially if it involves multiple professions. Virtual reality (VR)-based training is an innovative instructional approach that demands fewer resources and offers the flexibility of location-independent learning. This study aimed to develop and evaluate the acceptance, learning outcome, and feasibility of an interprofessional team (INTEAM) training course that included a VR simulation of a neurological emergency case. This 1-group study used a pre- and posttest design to evaluate the 2-hour INTEAM training course for nursing and medical students. The course included an e-learning part, VR simulation, and debriefing. The main learning objectives were derived from the entrustable professional activity 6, namely to handle a common problem in emergency medicine (headache due to subarachnoid hemorrhage and epileptic seizure) that requires interprofessional collaboration, including a structured handover. We used validated and self-constructed questionnaires, pre- and posttests, and open questions to assess the acceptance, learning outcome, and feasibility of the course. The data of 42 students (21 nursing and 21 medical students) were analyzed and showed good usability in the System Usability Scale (median 72.5, IQR 65-80). The perception of usefulness (median 6, IQR 5.8-6.9) and ease of use (median 5.9, IQR 5.1-6.3) was good among all students. There was a significant increase in the handover performance from pre- (median 8, IQR 6-9) to posttraining (median 8, IQR 7-9; z=-2.01; P=.045; r=0.33) and of the confidence in caring for patients with seizures (median 3, IQR 2-3 and median 3.5, IQR 3-4, respectively; z=-3.8; P<.001; r=0.60). In 67% (14/21) of the simulations, technical issues occurred, but all simulations could be carried out completely. The new INTEAM training course was well received by nursing and medical students. The handover skills and confidence in caring for patients with seizures were improved after the course. Despite technical challenges with the VR simulations, none required termination, and this demonstrates that our approach is feasible. These promising results encourage the use of VR simulations for team training in the education of nursing and medical students.