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BACKGROUND: Staffing and resource shortages, especially during the COVID-19 pandemic, have increased stress levels among health care workers. Many health care workers have reported feeling unable to maintain the quality of care expected within their profession, which, at times, may lead to moral distress and moral injury. Currently, interventions for moral distress and moral injury are limited. OBJECTIVE: This study has the following aims: (1) to characterize and reduce stress and moral distress related to decision-making in morally complex situations using a virtual reality (VR) scenario and a didactic intervention; (2) to identify features contributing to mental health outcomes using wearable, physiological, and self-reported questionnaire data; and (3) to create a personal digital phenotype profile that characterizes stress and moral distress at the individual level. METHODS: This will be a single cohort, pre- and posttest study of 100 nursing professionals in Ontario, Canada. Participants will undergo a VR simulation that requires them to make morally complex decisions related to patient care, which will be administered before and after an educational video on techniques to mitigate distress. During the VR session, participants will complete questionnaires measuring their distress and moral distress, and physiological data (electrocardiogram, electrodermal activity, plethysmography, and respiration) will be collected to assess their stress response. In a subsequent 12-week follow-up period, participants will complete regular assessments measuring clinical outcomes, including distress, moral distress, anxiety, depression, and loneliness. A wearable device will also be used to collect continuous data for 2 weeks before, throughout, and for 12 weeks after the VR session. A pre-post comparison will be conducted to analyze the effects of the VR intervention, and machine learning will be used to create a personal digital phenotype profile for each participant using the physiological, wearable, and self-reported data. Finally, thematic analysis of post-VR debriefing sessions and exit interviews will examine reoccurring codes and overarching themes expressed across participants' experiences. RESULTS: The study was funded in 2022 and received research ethics board approval in April 2023. The study is ongoing. CONCLUSIONS: It is expected that the VR scenario will elicit stress and moral distress. Additionally, the didactic intervention is anticipated to improve understanding of and decrease feelings of stress and moral distress. Models of digital phenotypes developed and integrated with wearables could allow for the prediction of risk and the assessment of treatment responses in individuals experiencing moral distress in real-time and naturalistic contexts. This paradigm could also be used in other populations prone to moral distress and injury, such as military and public safety personnel. TRIAL REGISTRATION: ClinicalTrials.gov NCT05923398; https://clinicaltrials.gov/study/NCT05923398. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54180.
Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , Cohort Studies , Stress, Psychological , Virtual Reality , Ontario , Surveys and Questionnaires , Female , Male , Adult , Occupational StressABSTRACT
Healthcare providers, particularly during the COVID-19 crisis, have been forced to make difficult decisions and have reported acting in ways that are contrary to their moral values, integrity, and professional commitments, given the constraints in their work environments. Those actions and decisions may lead to healthcare providers' moral suffering and distress. This work outlines the development of the Moral Distress Virtual Reality Simulator (Moral Distress VRS) to research stress and moral distress among healthcare workers during the COVID-19 pandemic. The Moral Distress VRS was developed based on the agile methodology framework, with three simultaneous development streams. It followed a two-week sprint cycle, ending with meetings with stakeholders and subject matter experts, whereby the project requirements, scope, and features were revised, and feedback was provided on the prototypes until reaching the final prototype that was deployed for in-person study sessions. The final prototype had two user interfaces (UIs), one for the participant and one for the researcher, with voice narration and customizable character models wearing medical personal protective equipment, and followed a tree-based dialogue scenario, outputting a video recording of the session. The virtual environment replicated an ICU nursing station and a fully equipped patient room. We present the development process that guided this project, how different teams worked together and in parallel, and detail the decisions and outcomes in creating each major component within a limited deadline. Finally, we list the most significant challenges and difficulties faced and recommendations on how to solve them.
ABSTRACT
BACKGROUND: The COVID-19 pandemic has challenged the mental health of health care workers, increasing the rates of stress, moral distress (MD), and moral injury (MI). Virtual reality (VR) is a useful tool for studying MD and MI because it can effectively elicit psychophysiological responses, is customizable, and permits the controlled study of participants in real time. OBJECTIVE: This study aims to investigate the feasibility of using an intervention comprising a VR scenario and an educational video to examine MD among health care workers during the COVID-19 pandemic and to use our mobile app for longitudinal monitoring of stress, MD, and MI after the intervention. METHODS: We recruited 15 participants for a compound intervention consisting of a VR scenario followed by an educational video and a repetition of the VR scenario. The scenario portrayed a morally challenging situation related to a shortage of life-saving equipment. Physiological signals and scores of the Moral Injury Outcome Scale (MIOS) and Perceived Stress Scale (PSS) were collected. Participants underwent a debriefing session to provide their impressions of the intervention, and content analysis was performed on the sessions. Participants were also instructed to use a mobile app for 8 weeks after the intervention to monitor stress, MD, and mental health symptoms. We conducted Wilcoxon signed rank tests on the PSS and MIOS scores to investigate whether the VR scenario could induce stress and MD. We also evaluated user experience and the sense of presence after the intervention through semi-open-ended feedback and the Igroup Presence Questionnaire, respectively. Qualitative feedback was summarized and categorized to offer an experiential perspective. RESULTS: All participants completed the intervention. Mean pre- and postintervention scores were respectively 10.4 (SD 9.9) and 13.5 (SD 9.1) for the MIOS and 17.3 (SD 7.5) and 19.1 (SD 8.1) for the PSS. Statistical analyses revealed no significant pre- to postintervention difference in the MIOS and PSS scores (P=.11 and P=.22, respectively), suggesting that the experiment did not acutely induce significant levels of stress or MD. However, content analysis revealed feelings of guilt, shame, and betrayal, which relate to the experience of MD. On the basis of the Igroup Presence Questionnaire results, the VR scenario achieved an above-average degree of overall presence, spatial presence, and involvement, and slightly below-average realism. Of the 15 participants, 8 (53%) did not answer symptom surveys on the mobile app. CONCLUSIONS: Our study demonstrated VR to be a feasible method to simulate morally challenging situations and elicit genuine responses associated with MD with high acceptability and tolerability. Future research could better define the efficacy of VR in examining stress, MD, and MI both acutely and in the longer term. An improved participant strategy for mobile data capture is needed for future studies. TRIAL REGISTRATION: ClinicalTrails.gov NCT05001542; https://clinicaltrials.gov/study/NCT05001542. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/32240.
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Serious games (i.e., digital games designed for educational purposes) can foster positive learning attitudes and are increasingly used as educational tools. Foodbot Factory is a serious game application (app) that helps children learn about healthy eating based on Canada's Food Guide principles and has demonstrated to increase nutrition knowledge among this group. This paper describes the process followed to expand Foodbot Factory's educational content and integrate immersive technologies and innovative features into the app. The revision process, which was guided by the Obesity-Related Behavioral Intervention Trials model, included the following phases: first, an interdisciplinary team of nutrition scientists, education experts, and computer scientists analyzed data from the original pilot study, recently published literature, and feedback from stakeholders to define areas to improve Foodbot Factory. The five original Foodbot Factory modules were evaluated by the team during weekly meetings, where the educational content, interactive features, and other elements that required updates (e.g., aesthetics and accessibility) were identified. Second, prototypes were created and refined until a final version of Foodbot Factory was approved. Nineteen children tested the updated Foodbot Factory and found it "easy to use" (89%) and "fun" (95%). The new version of Foodbot Factory contains 19 learning objectives, including 13 original and six new objectives. Interactive engagement features in the updated Foodbot Factory included augmented reality incorporated into two learning modules; new mini-games were created, including a memory game; an overhaul of the aesthetics; (e.g., new food images); and accessibility features were included to support users with cognitive and vision disabilities.
Subject(s)
Video Games , Child , Humans , Pilot Projects , Learning , Feedback , Educational StatusABSTRACT
Due to the constraints of the COVID-19 pandemic, healthcare workers have reported behaving in ways that are contrary to their values, which may result in distress and injury. This work is the first of its kind to evaluate the presence of stress in the COVID-19 VR Healthcare Simulation for Distress dataset. The dataset collected passive physiological signals and active mental health questionnaires. This paper focuses on correlating electrocardiogram, respiration, photoplethysmography, and galvanic skin response with the Perceived Stress Scale (PSS)-10 questionnaire. The analysis involved data-driven techniques for a robust evaluation of stress among participants. Low-complexity pre-processing and feature extraction techniques were applied and support vector machine and decision tree models were created to predict the PSS-10 scores of users. Imbalanced data classification techniques were used to further enhance our understanding of the results. Decision tree with oversampling through Synthetic Minority Oversampling Technique achieved an accuracy, precision, recall, and F1 of 93.50%, 93.41%, 93.31%, and 93.35%, respectively. Our findings offer novel results and clinically valuable insights for stress detection and potential for translation to edge computing applications to enhance privacy, longitudinal monitoring, and simplify device requirements.
Subject(s)
COVID-19 , Pandemics , Humans , COVID-19/epidemiology , Health Personnel/psychology , Stress, Psychological/diagnosisABSTRACT
Previous research indicates that greater empathy by healthcare providers (HCPs) and informal caregivers leads to better care and improved patient satisfaction and outcomes for persons living with dementia (PLWD). Since few programs exist to train HCPs to develop empathy, we created the augmented reality education experience (AREduX), a proof-of-concept prototype that employs augmented reality (AR) to simulate the physical and cognitive symptoms that PLWD experience. This unique experience simulates the effects of dementia for training purposes with the goal of promoting more empathetic responses from HCPs and informal caregivers when attending to a PLWD. This technical report provides an overview of the five phases of the research program, conceptualization, development and design, usability testing and prototype updating, testing of refined prototype including measuring participants' empathy pre/post interaction with the AREduX, and analysis and dissemination of results, but focuses on Phase 2, development and design. We believe that the AREduX will substantially contribute to the scientific literature on the development of empathy, address the knowledge gap that exists regarding evidence-based understanding of empathy as a construct, and contribute to further recommendations aligned with implementing AR as an experiential education method to enhance empathy among HCPs and caregivers of PLWD.
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Background: Progress in remote educational strategies was fueled by the advent of the COVID-19 pandemic. This pilot RCT explored the efficacy of a decentralized model of simulation based on principles of observational and peer-to-peer learning for the acquisition of surgical skills. Methods: Sixty medical students from the University of Montreal learned the running subcuticular suture in four different conditions: (1) Control group (2) Self-learning (3) Peer-learning (4) Peer-learning with expert feedback. The control group learned with error-free videos, while the others, through videos illustrating strategic sub-optimal performances to be identified and discussed by students. Performance on a simulator at the end of the learning period, was assessed by an expert using a global rating scale (GRS) and checklist (CL). Results: Students engaging in peer-to-peer learning strategies outperformed students who learned alone. The presence of an expert, and passive vs active observational learning strategies did not impact performance. Conclusion: This study supports the efficacy of a remote learning strategy and demonstrates how collaborative discourse optimizes the students' acquisition of surgical skills. These remote simulation strategies create the potential for implantation in future medical curriculum design.Trial Registration: NCT04425499 2020-05-06.
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BACKGROUND AND OBJECTIVE: Due to the constraints of the COVID-19 pandemic, healthcare workers have reported acting in ways that are contrary to their moral values, and this may result in moral distress. This paper proposes the novel digital phenotype profile (DPP) tool, developed specifically to evaluate stress experiences within participants. The DPP tool was evaluated using the COVID-19 VR Healthcare Simulation of Stress Experience (HSSE) dataset (NCT05001542), which is composed of passive physiological signals and active mental health questionnaires. The DPP tool focuses on correlating electrocardiogram, respiration, photoplethysmography, and galvanic skin response with moral injury outcome scale (Brief MIOS). METHODS: Data-driven techniques are encompassed to develop a tool for robust evaluation of distress among participants. To accomplish this, we applied pre-processing techniques which involved normalization, data sanitation, segmentation, and windowing. During feature analysis, we extracted domain-specific features, followed by feature selection techniques to rank the importance of the feature set. Prior to classification, we employed k-means clustering to group the Brief MIOS scores to low, moderate, and high moral distress as the Brief MIOS lacks established severity cut-off scores. Support vector machine and decision tree models were used to create machine learning models to predict moral distress severities. RESULTS: Weighted support vector machine with leave-one-subject-out-cross-validation evaluated the separation of the Brief MIOS scores and achieved an average accuracy, precision, sensitivity, and F1 of 98.67%, 98.83%, 99.44%, and 99.13%, respectively. Various machine learning ablation tests were performed to support our results and further enhance the understanding of the predictive model. CONCLUSION: Our findings demonstrate the feasibility to develop a DPP tool to predict distress experiences using a combination of mental health questionnaires and passive signals. The DPP tool is the first of its kind developed from the analysis of the HSSE dataset. Additional validation is needed for the DPP tool through replication in larger sample sizes.
Subject(s)
COVID-19 , Humans , Pandemics , Health Personnel/psychology , Machine Learning , PhenotypeABSTRACT
Feedback is an essential component of medical education, especially during clinical rotations. There is growing interest in learner-related factors that can optimize feedback's efficiency, including goal orientation, reflection, self-assessment, and emotional response. However, no mobile application or curriculum currently exists to specifically address those factors. This technical report describes the concept, design, and learner-based feedback of an innovative online application, available on mobile phones, developed to bridge this gap. Eighteen students in their third or fourth year of medical school provided comments on a pilot version of the application. The majority of learners deemed the module relevant, interesting, and helpful to guide reflection and self-assessment, therefore fostering better preparation before an upcoming feedback session. Minor improvements were suggested in terms of content and format. The learners' initial positive response supports further efforts to engage in validity and evaluation research. Future steps include modifying the mobile application based on learners' comments, evaluating its efficacy in a real clinical setting, and clarifying whether it is most beneficial for mid-rotation or end-of-rotation feedback sessions.
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INTRODUCTION: General surgery residents need to master the hand-sewn bowel anastomosis (HSBA) technique. However, practice opportunities outside of the operating room are rare, and commercial simulators are often costly. The objective of this study is to assess the efficacy of a new, affordable silicone small bowel simulator, made with a three-dimensional (3D) printed mold, as a training tool to learn this technique. METHODS: This was a single-blinded pilot randomized controlled trial comparing two groups of eight junior surgical residents. All participants completed a pretest using an inexpensive, custom developed 3D-printed simulator. Next, participants randomized to the experimental group practiced the HSBA skill at home (eight sessions), while those randomized to the control group did not receive any hands-on practice opportunities. A posttest was done using the same simulator as for the pretest and practice sessions, and the retention-transfer test was performed on an anesthetized porcine model. Pretests, posttests and retention-transfer tests were filmed and graded by a blinded evaluator using assessments of technical skills, quality of final product, and tests of procedural knowledge. RESULTS: The experimental group significantly improved after practicing with the model (P = 0.01), while an equivalent improvement was not noted in the control group (P = 0.07). Moreover, the experimental group's performance remained stable between the posttest and the retention-transfer test (P = 0.95). CONCLUSIONS: Our 3D-printed simulator is an affordable and efficacious tool to teach residents the HSBA technique. It allows development of surgical skills that are transferable to an in vivo model.
Subject(s)
Anastomosis, Surgical , Internship and Residency , Intestine, Small , Animals , Abdomen , Anastomosis, Surgical/education , Clinical Competence , Intestine, Small/surgery , Intestines , Printing, Three-Dimensional , Swine , HumansABSTRACT
INTRODUCTION: Acquisition of technical skills remotely in a decentralized model requires an efficacious way of providing feedback. The primary objective was to test the efficacy of various forms of feedback on the acquisition of surgical skills by medical students. METHODS: Forty volunteers were randomized to four experimental groups, differing from the nature of feedback (free text versus structured) and who provided the feedback (expert versus peer learners). They had to perform sutures and upload attempts on a learning management system to receive interactive feedback. The pretest and retention test performances were assessed. RESULTS: All groups significantly improved from pretests to retention tests; however, participants using checklist showed statistically lower improvements than the other groups, which did not differ from each other. CONCLUSIONS: Remote learners can acquire surgical skills, and most importantly, peers who provide feedback, are as effective as experts if they use open-ended comments and not checklists.
Subject(s)
Clinical Competence , Students, Medical , Humans , Feedback , Learning , Peer GroupABSTRACT
Background In high-stakes situations, healthcare workers are prone to suffer moral injury, the psychological, social, and spiritual impact of events involving betrayal or transgression of one's own deeply held moral beliefs and values. As a result, this may negatively impact their capacity to provide adequate levels of care to patients. There is a lack of educational resources catered to help healthcare workers navigate ethical situations in clinical settings that may lead to or worsen moral distress. The aim of this report is to describe the methodology of development and resulting outcomes in the form of an educational resource that includes a virtual reality (VR) simulation to help healthcare workers understand and mitigate moral distress as a result of internal and external constraints at their workplaces. Methodology A study using a method outlining a set of constraint parameters, followed by ideation utilizing design thinking (DT), and concluding with a consensus-building exercise using Delphi methodology (DM) with a group of 13 experts in healthcare simulation, VR, psychiatry, psychology, and nursing. The constraints parameters included technology use (VR), use of experiential learning theory, and duration of the intervention (15 minutes). A DT process was performed to generate and expand on ideas on the scenario and intervention of a possible VR simulation which were funneled into a three-round DM to define the foundations of the VR simulation. Average, standard deviations, and free-text comments in the DM were used to assess the inclusion of the produced requirements. Finally, a focus group interview was conducted with the same experts to draft the VR simulation. Results Within the specified constraints, the DT process produced 33 ideas for the VR simulation scenario and intervention that served as a starting point to short-list the requirements in Round 1. In Rounds 1 to 2, 25 items were removed, needed revising, and/or were retained for the subsequent rounds, which resulted in eight items at the end of Round 2. Round 2 also required specialists to provide descriptions of potential scenarios and interventions, in which five were submitted. In Round 3, experts rated the descriptions as somewhat candidate to use in the final VR simulation, and the open feedback in this round proposed combining the elements from each of the descriptions. Using this data, a prototype of the VR simulation was developed by the project team together with VR designers. Conclusions This development demonstrated the feasibility of using the constraints-ideation-consensus approach to define the content of a possible VR simulation to serve as an educational resource for healthcare workers on how to understand and mitigate moral distress in the workplace. The methodology described in this development may be applied to the design of simulation training for other skills, thereby advancing healthcare training and the quality of care delivered to the greater society.
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Dementia is considered a global health priority with projections of the disease set to increase dramatically across the world. Current support for persons living with dementia (PLWD) relies on long-term care and local service centers to provide education and support. Augmented reality-based programs continue to gain momentum across health sectors, becoming an innovative approach that provides an opportunity to have a visceral experience, which can deepen understanding and provide an embodied perspective of other groups within a relatively short time frame. There is increasing interest in developing approaches to aid patient care outcomes for PLWD and their caregivers. Hence, healthcare providers (HCPs) who are appropriately trained and equipped to provide quality care to PLWD are essential and of international concern. The purpose of this research program is to develop an augmented reality (AR) education experience (AREduX), a proof of concept prototype in the form of a digital resource that uses AR to simulate the physical and cognitive symptoms that PLWD experience. The findings from a stakeholder focus group will allow for the preliminary development of the AREduX.
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In a centralized model of simulation-based education (Ce-SBE), the trainees practice clinical skills in simulated laboratories based on physical models, while in a decentralized model (De-SBE), the trainees practice these skills outside of these laboratories. Attention to De-SBE has drastically shifted to virtual learning environments (VLEs), serious games, and virtual simulations employing various digital technologies, including virtual, augmented, and mixed reality. In particular, remote learning has grown immensely during the COVID-19 pandemic as traditional in-person teaching and training activities are conducted online as a form of facilitating continuity in education. VLEs allow trainees to learn from virtual simulated health experiences in an interactive, engaging, and ethically safe manner, while providing educators the opportunity to implement simulated experiences to a larger number of learners. Despite these benefits, for certain types of clinical skills, such as psychomotor skills, VLEs have not yet reached their potential. This is primarily due to technical limitations and cost issues with the haptic devices required to simulate the sense of touch. Pseudo-haptic refers to the illusion of haptic stimulation in the absence of mechanical haptic interfaces and often combines the use of a passive input device (e.g., mouse) with visual and auditory feedback to simulate haptic properties (stiffness or friction of an object). Although the application of pseudo-haptics for psychomotor skills development is still in its infancy and currently trending due to the availability of consumer-level technologies, the potential to present haptic cues in the absence of active haptic devices may allow trainees to practice some tasks outside of research and training labs. The implications of pseudo-haptics are tremendous, particularly as remote learning becomes more widespread, and warrant further discussion.
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BACKGROUND: Stress, anxiety, distress, and depression are high among health care workers during the COVID-19 pandemic, and they have reported acting in ways that are contrary to their moral values and professional commitments that degrade their integrity. This creates moral distress and injury due to constraints they have encountered, such as limited resources. OBJECTIVE: The purpose of this study is to develop and show the feasibility of digital platforms (a virtual reality and a mobile platform) to understand the causes and ultimately reduce the moral distress of health care providers during the COVID-19 pandemic. METHODS: This will be a prospective, single cohort, pre- and posttest study examining the effect of a brief informative video describing moral distress on perceptual, psychological, and physiological indicators of stress and decision-making during a scenario known to potentially elicit moral distress. To accomplish this, we have developed a virtual reality simulation that will be used before and after the digital intervention for monitoring short-term impacts. The simulation involves an intensive care unit setting during the COVID-19 pandemic, and participants will be placed in morally challenging situations. The participants will be engaged in an educational intervention at the individual, team, and organizational levels. During each test, data will be collected for (1) physiological measures of stress and after each test, data will be collected regarding (2) thoughts, feelings and behaviors during a morally challenging situation, and (3) perceptual estimates of psychological stress. In addition, participants will continue to be monitored for moral distress and other psychological stresses for 8 weeks through our Digital intervention/intelligence Group mobile platform. Finally, a comparison will be conducted using machine learning and biostatistical techniques to analyze the short- and long-term impacts of the virtual reality intervention. RESULTS: The study was funded in November 2020 and received research ethics board approval in March 2021. The study is ongoing. CONCLUSIONS: This project is a proof-of-concept integration to demonstrate viability over 6 months and guide future studies to develop these state-of-the-art technologies to help frontline health care workers work in complex moral contexts. In addition, the project will develop innovations that can be used for future pandemics and in other contexts prone to producing moral distress and injury. This project aims to demonstrate the feasibility of using digital platforms to understand the continuum of moral distress that can lead to moral injury. Demonstration of feasibility will lead to future studies to examine the efficacy of digital platforms to reduce moral distress. TRIAL REGISTRATION: ClinicalTrials.gov NCT05001542; https://clinicaltrials.gov/ct2/show/NCT05001542. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/32240.
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The rise of the digital revolution has disrupted entire industries and job markets, leading individuals to either upgrade or transfer their skills in order to continue within their designated fields or transition to new workplace contexts. Employers expect their employees to apply their knowledge to real-world settings, analyze and solve problems, connect choices to actions, and innovate and create. Moreover, the COVID-19 pandemic has exacerbated changes to the educational landscape by forcing online and remote contexts; physical distancing and other preventive measures have necessitated a shift towards increasing the use of disruptive digital technologies- extended reality (e.g., virtual and augmented reality), gaming, and additive manufacturing-in simulation delivery. Yet Canada's economic and demographic data suggests that many new graduates struggle to transition from school to working life. The confluence of these factors has led to a need for both individuals and higher education institutions to upgrade and adapt to new digital techniques and modalities. As these needs grow, simulation-based education (SBE) techniques and technologies-already an integral part of training for some professions, including nursing, medicine, and various other health professions-are increasingly being used in digital contexts. In this editorial, we provide our perspective of the socio-technological movement associated with health-professions education (HPE) within the SBE context and examine the application and implementation of micro-credentialing within this field. We also discuss the various levels of expertise that learners may acquire. From this vantage point, we address how SBE can complement the assessment of competencies that learners must demonstrate to attain micro-credentials and explore micro-credentialing's advantages for, and use in, HPE.
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The current coronavirus disease (COVID-19) pandemic has shifted traditional educational approaches in health professions education (HPE) from in-person to remote learning. Although pedagogical strategies have been developed and implemented rapidly to support cognitive and affective domains of learning in HPE, less progress has occurred in psychomotor skills acquisition. Psychomotor skills, referred to as technical skills training, are underpinned by educational theories and conceptual frameworks. Considering the widening gap in learning domains, this editorial provides an overview and recommendations for developing and implementing remote training supported by educational theories, such as deliberate practice, and conceptual frameworks in technical skills acquisition in HPE. We begin by discussing the unique curricular needs for remote psychomotor skills in medical teaching-learning contexts and subsequently present a theory-driven and evidence-based model for remote psychomotor skills acquisition.
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We have recently developed the Unity Simulator for Epidural Insertion Training (USEIT) system that provides an innovative and relatively inexpensive virtual simulation approach for epidural training. This report describes the design and development process to produce the USEIT system.
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Hand-sewn bowel anastomosis (HSBA) is an essential skill for surgical residents to learn, as it is used in numerous surgical procedures. However, the opportunities to practice this skill before attempting it on patients are limited. Practice on simulators can help improve this technique, but there is a paucity of realistic, cost-efficient simulators for the acquisition of HSBA skills. This technical report describes the development of our simulator that consists of a small bowel manufactured from silicone and a 3D-printed clamp system to hold the bowel in place. Our simulator was co-designed by a clinical team of surgeons and then assessed for perceived acceptability and effectiveness by 16 junior residents in various surgical specialties at our faculty. A majority of the learners rated our simulator to be a good or very good learning tool for HSBA, although they suggested some minor improvements. Overall, our silicone small bowel model appears to be an effective and inexpensive way to acquire this surgical skill.
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Healthcare professionals must be able to work in multidisciplinary teams (MDTs). The purpose of this editorial is to explain how healthcare professionals (can) contribute to the effectiveness of MDT, through the use of activity theory (collective work activity shared by others who are motivated by a purpose mediated by tools in order to achieve a specific goal) and the associated idea of knotworking (method of tying, untying, and retying together seemingly separate threads of activity). The leading thesis here is that MDTs benefit from health professionals with well-established leadership skills, and also strong collaborative skills that enable them to transition fluidly between leadership roles as needed to advance patient care. Within activity theory, knotworking is the process of tying and untying various threads of activity and knowledge from across the MDT in order to accomplish specific objectives over time. Knotworking exemplifies the dynamic nature of MDT collaboration, which requires professionals to be productive in their environment. The viewpoints offered in this editorial contribute to a new perspective on MDTs, one that acknowledges distributed leadership and the importance of co-producing a successful partnership in a clinical setting.