Digital Interventions to Understand and Mitigate Stress Response: Protocol for Process and Content Evaluation of a Cohort Study.

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.

Development and Implementation of a Stress Monitoring Paradigm Using Virtual Reality Simulation During the COVID-19 Pandemic.

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.

The Iterative Design and Development of an Affordable Ultrasound Simulator.

Simulation-based medical education (SBME) offers a secure and controlled environment for training in ultrasound-related clinical skills such as nerve blocking and intravenous cannulation. Sonographer training for point-of-care ultrasound often adopts the train-the-trainer (TTT) model, wherein a select group of sonographers receive on-site training to subsequently instruct others. This model traditionally relies on expensive commercial ultrasound simulators, which presents a barrier to the scale-up of the TTT model. This study aims to address the need for cost-effective ultrasound simulators suitable for both initial and cascaded TTT. The objective of this report is to present the design and development of an affordable ultrasound simulator, which mimics anatomical features under ultrasound. The simulator was created using additive manufacturing techniques, including 3D printing, ballistic gel, and silicone work. We report on three development-feedback iterations, with feedback provided by an experienced sonographer from FUJIFILM Sonosite Canada Inc. using the think-aloud approach. Overall the results indicate that de-gassed silicone may serve as a good medium; vessels are best produced as hollow canals within the de-gassed silicone; 3D-printed bones cast acoustic shadows, which are reduced by increasing rigidity of the structures, and 3D printing filament and silicone can be used for nerve bundles. Future developments will focus on achieving anatomical accuracy, exploring alternative materials and printing parameters for the bones, and analyzing embedded structures at varying depths within the silicone. The next steps involve integrating the simulator into ultrasound curricula for a formal assessment of its effectiveness as a training tool.

Digital Interventions for Stress Among Frontline Health Care Workers: Results From a Pilot Feasibility Cohort Trial.

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.

Using a Delphi Method Approach to Select Theoretical Underpinnings of Crowdsourcing and Rank Their Application to a Crowdsourcing App.

INTRODUCTION: Since the catapult of online learning during the COVID-19 pandemic, most simulation laboratories are now completed virtually, leaving a gap in skills training and potential for technical skills decay. Acquiring standard, commercially available simulators is prohibitively expensive, but three-dimensional (3D) printing may provide an alternative. This project aimed to develop the theoretical foundations of a crowdsourcing Web-based application (Web app) to fill the gap in health professions simulation training equipment via community-based 3D printing. We aimed to discover how to effectively leverage crowdsourcing with local 3D printers and use these resources to produce simulators via this Web app accessed through computers or smart devices. METHODS: First, a scoping literature review was conducted to discover the theoretical underpinnings of crowdsourcing. Second, these review results were ranked by consumer (health field) and producer (3D printing field) groups via modified Delphi method surveys to determine suitable community engagement strategies for the Web app. Third, the results informed different app iteration ideas and were then generalized beyond the app to address scenarios entailing environmental changes and demands. RESULTS: A scoping review revealed 8 crowdsourcing-related theories. Three were deemed most suitable for our context by both participant groups: Motivation Crowding Theory, Social Exchange Theory, and Transaction Cost Theory. Each theory proposed a different crowdsourcing solution that can streamline additive manufacturing within simulation while applicable to multiple contexts. CONCLUSIONS: Results will be aggregated to develop this flexible Web app that adapts to stakeholder needs and ultimately solves this gap by delivering home-based simulation via community mobilization.

A view from the top: A qualitative exploration of top-level health care leaders' perceptions on the implementation of simulation-based education in postgraduate medical education.

INTRODUCTION: Although there is substantial evidence supporting the benefits of simulation-based education (SBE), its widespread and effective implementation remains challenging. The aim of this study was to explore the perceptions of top-level health care leaders regarding SBE and the barriers and facilitators that influence its wide implementation as part of the postgraduate surgical curricula in Denmark. METHODS: We conducted semi-structured interviews with top-level health care leaders who were chosen based on their roles in ensuring high-quality patient care delivery and developing strategies to achieve the goals of the entire health care system. The interview transcripts were translated into English, and a thematic approach was used to code and inductively analyse the data. We used the Consolidated Framework for Implementation Research to identify and understand the determinants to a successful implementation of SBE. RESULTS: We interviewed 13 participants from different political and administrative levels. We found that the participants had limited knowledge about SBE, which highlighted a disconnection between these leaders and the educational environment. This was further compounded by a lack of effective communication and inadequate information dissemination between simulation centres and higher-level organisations. While participants recognised the benefits of SBE for doctors in training, they expressed concerns about the implementation given the already strained health care system and limited resources. The need for evidence, particularly in the context of patient safety, was emphasised to facilitate SBE implementation. Although participants supported the implementation of SBE, it was unclear who should initiate action. DISCUSSION: This study highlighted the perspectives of top-level health care leaders regarding SBE and identified the determinant factors for a successful implementation. Effective communication channels are crucial to enhance collaborations and reduce the disconnection between the different health care organisational levels. Strategic implementation processes, including the roles and responsibilities, should be defined and established. These will inform decisions regarding the implementation strategies to effectively integrate SBE into the residency training curricula.

Augmented Reality Education Experience (AREduX): An Augmented Reality Experience and Experiential Education Medium to Teach Empathy to Healthcare Providers and Caregivers of Persons Living With Dementia.

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.

Digital Interventions to Reduce Distress Among Frontline Health Care Providers: Analysis of Self-Perceived Stress.

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.

The Perceived Effectiveness of Various Forms of Feedback on the Acquisition of Technical Skills by Advanced Learners in Simulation-Based Health Professions Education.

Simulation-based health professions education (SBHPE) is a valuable approach for healthcare professionals to develop and refine technical skills in a safe environment. Feedback plays a crucial role in the acquisition of these skills, but little research has explored the effectiveness of augmented (knowledge of results (KR) and knowledge of performance (KP) versus intrinsic feedback types for advanced learners. Therefore, this study aimed to determine what type of feedback is perceived to be most effective by advanced learners when acquiring complex technical skills in SBHPE. The study followed the test and evaluated phases of the design-based research (DBR) framework. A total of 23 advanced care paramedics (ACPs) participated in the study and received feedback in the form of KR, KP, and intrinsic feedback while using the intraosseous (IO) access simulator. Participants completed a survey to evaluate their learning experience and rank the perceived effectiveness of each feedback type. The results of this study indicated that KP was perceived as the most effective type of feedback and KR was perceived as the least effective feedback, with intrinsic feedback being in the middle. This work provides insights into the use of augmented and intrinsic feedback for advanced learners in an SBHPE environment, but future work to assess the actual learning effects of these types of feedback is needed.

Defining the Nature of Augmented Feedback for Learning Intraosseous Access Skills in Simulation-Based Health Professions Education.

In the field of health professions education, acquiring technical skills involves three stages: 1) receiving instructions, 2) engaging in practice, and 3) receiving feedback. Simulation serves as a valuable tool that encompasses all three stages, enhancing the effectiveness of health professions education. This work focuses on feedback, which can be categorized as intrinsic (perceived by the learner through their senses) or augmented (provided by an external perspective). Augmented feedback can take the form of knowledge of results (information regarding the outcome) or knowledge of performance (information about the actions leading to the outcome). The overall objective of this work was to evaluate the perceived efficacy of these types of feedback in learning technical skills using a simulation, specifically an intraosseous access simulator, among advanced care paramedics. The primary focus of this article and the initial step towards achieving the aforementioned objective of this work was to determine the possible knowledge of results and knowledge of performance that paramedic facilitators could offer to advanced care paramedics during the use of an existing intraosseous access simulator. This research was conducted following the design-based research framework, employing a combination of design thinking and Delphi methods to generate a comprehensive list of augmented feedback, in both the form of knowledge of results and knowledge of performance, that can be provided to advanced care paramedics while learning intraosseous access skills through a simulator. The design thinking session was carried out to generate an initial inventory of augmented feedback, which was then refined through two rounds of Delphi consensus-building with paramedic experts. This process resulted in an eight-step list of feedback for knowledge of results and knowledge of performance that can be delivered to advanced care paramedics by paramedic facilitators using an intraosseous access simulator.

Using the Evidence-Development-Validation-Consensus (EDVC) Approach to Develop and Validate maxSIMdrone: A Training Program for Healthcare Professionals to Provide Cardiac Arrest Care Using Drones.

Introduction The challenges of delivering cardiac arrest (CA) courses in rural and remote (R&R) locations worldwide have been further exacerbated by the COVID-19 pandemic. However, it is important to note that this problem has always existed. The implementation of social distancing measures to combat the pandemic has had a significant impact on healthcare and medical education, particularly in relation to the training of students, laypeople (LP), and healthcare professionals (HCPs) in CA care. The combination of pandemic restrictions and pre-existing difficulties faced in R&R locations and large cities has disrupted the provision of comprehensive medical education. The suspension of basic life support and defibrillation (BLSD) courses during the pandemic may have negatively affected pre-hospital care for CA. However, it is essential to acknowledge that challenges in delivering these courses in R&R areas predate the pandemic. Materials and methods A 2021 epidemiological study in the Brazilian Amazon identified CA as the primary cause of death, followed by COVID-19. This highlights the importance of providing BLSD courses and training to emergency medical service (EMS) personnel in R&R locations. Even during a pandemic. Researchers from Ontario Tech University and Memorial University School of Medicine developed a drone with a simulation scenario to train HCPs in automated external defibrillators (AED) operation and guide LP in safe use through BLSD protocols. A literature review showed that different training methods yielded similar outcomes. Based on these findings, the evidence-development-validation-consensus (EDVC) hybrid approach was used to develop and validate an online training program using a learning management system (LMS) as a model. Results Teaching HCPs and LP in R&R locations, such as northern Canada and the Brazilian Amazon, presents challenges due to limited resources and internet access. One potential solution lies in the utilization of remote online LMS that facilitate the administration, documentation, tracking, reporting, automation, and delivery of educational courses and training programs. The literature review indicated that mixed training approaches, including face-to-face, online, and hybrid formats, produced similar outcomes in learning assessment, self-confidence, performance, skills, and knowledge acquisition. These findings support the viability of using LMS as a model to develop and validate a course where drones deliver AEDs and provide training to HCPs and LP in R&R locations. A comprehensive training program should encompass cognitive, affective, and psychomotor learning domains, addressing various skills and knowledge aspects. Conclusion This research study develops and validates LMS teaching methods to support a training program for HCPs and LP in using AEDs delivered by drones. The program combines design-based research and consensus development methods, such as design thinking and think-aloud observations. Drones are used to provide AEDs and develop simulation scenarios for training in R&R locations. The hybrid approach ensures a valid and evidence-based training program. The study presents the EDVC approach used to enhance the maxSIMdrone training program, enabling effective out-of-hospital CA care. The program incorporates participant feedback and improves knowledge and techniques in AED use. It has the potential to improve patient outcomes in resource-limited R&R locations.

Maternal and co-parental experiences and satisfaction with a co-parenting breastfeeding eHealth intervention in Canada.

BACKGROUND: Suboptimal breastfeeding rates are a public health priority. Interventions that include both breastfeeding women and their co-parents can increase breastfeeding initiation, duration, and exclusivity. eHealth can be an effective means of designing such interventions, as parents increasingly use the internet to access health information. The objective of this study was to determine maternal and co-parent satisfaction with an eHealth intervention. METHODS: The study was part of a larger randomized controlled trial that took place in Canada between March 2018 and April 2020. Data was collected from mothers (n = 56) and co-parents (n = 47). INTERVENTION: The eHealth intervention group received: 1) continued access to an eHealth breastfeeding co-parenting resource from the prenatal period to 52 weeks postpartum; 2) a virtual meeting with a research assistant; and 3) 6 weekly emails reminders. Follow-up data were collected via online questionnaires completed at 2 weeks post enrollment and 4, 12, 26, and 52 weeks postpartum to determine use and satisfaction with the intervention components. FINDINGS: The majority of mothers and co-parents independently reviewed the eHealth resource (95% and 91%, respectively), with higher use in the prenatal period. Participants found the resource to be useful (92%), informative (93%), targeted both parents (90%), and easy to understand (97%). Participants indicated the resource was comprehensive, easily navigated, convenient, and engaging. APPLICATION TO PRACTICE: Providing mothers and their co-parents with breastfeeding co-parenting support via an eHealth intervention delivers accessible, comprehensive information which may assist them in meeting their breastfeeding goals.

Identification of a partnership model between a university, for-profit, and not-for-profit organization to address health professions education and health inequality gaps through simulation-based education: A scoping review protocol.

INTRODUCTION: Healthcare providers in rural and remote (R&R) areas of Canada do not have the same access to skills development and maintenance opportunities as those in urban areas. Simulation-based education (SBE) is an optimal technique to allow healthcare providers to develop and maintain skills. However, SBE is currently limited mainly to universities or hospital-based research laboratories in urban areas. The purpose of this scoping review is to identify a model, or components of a model, that outline how a university research laboratory can collaborate with a for profit and not-for-profit organization to facilitate the diffusion of SBE into R&R healthcare provider training. METHODS AND ANALYSIS: This scoping review will be guided by the methodological framework introduced by Arksey and O'Malley in 2005 and the Methodology for Joanna Briggs Institute Scoping Reviews. Ovid MEDLINE, PsycINFO, Scopus, Web of Science, and CINAHL will be searched for relevant articles published between 2000 and 2022, in addition to grey literature databases and manual reference list searches. Articles describing a partnership model or framework between academic institutions and non-profit organizations with a simulation or technology component will be included. Titles and abstracts will be screened, followed by a full-text screening of articles. Two reviewers will participate in the screening and data extraction process for quality assurance. Data will be extracted, charted, and summarized descriptively to report key findings on potential partnership models. CONCLUSION: This scoping review will provide an understanding on the extent of existing literature regarding the diffusion of simulators for healthcare provider training through a multi-institutional partnership. This scoping review will benefit R&R parts of Canada by identifying gaps in knowledge and determining a process to deliver simulators to train healthcare providers. Findings from this scoping review will be submitted for publication in a scientific journal.

The exploration of remote simulation strategies for the acquisition of psychomotor skills in medicine: a pilot randomized controlled trial.

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.

Optimizing the Learner's Role in Feedback: Development of a Feedback-Preparedness Online Application for Medical Students in the Clinical Setting.

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.

Making Quality Improvements to Clinical Simulation Scenarios via Podcasting.

Simulation is a common method for teaching and enhancing healthcare skills. Nevertheless, the construction of a simulation scenario is expensive and time-consuming and requires a great deal of effort. As a result, it is imperative that we make quality improvements to the process of scenario construction. When this is accomplished, we will be able to enhance the existing scenarios, develop new ones, and ultimately enhance these teaching tools. Currently, publishing simulation scenarios as peer-reviewed technical reports is one way to ensure quality and global sharing of scenarios. Yet, another undiscovered potential to further improve the quality of scenarios once the peer-review process is complete is to allow the original scenario designers to reflect on their creative processes using podcasting. This paper proposes that podcasting can be used as a supplement to the peer-review process to address this issue. Podcasting is one of the prevalent forms of media in the twenty-first century. There are currently numerous podcast channels in the healthcare simulation space. However, the majority are focused on introducing simulation experts or discussing issues in healthcare simulation, and none are focused on making quality improvements to clinical simulation scenarios with the authors. We propose to make quality improvements with scenario designers using podcasting in order to communicate information to the public and evaluate what went well and what might have been done better in order to inform future developers.

Comparing Learning Outcomes in Cardiopulmonary Resuscitation (CPR) and/or Automated External Defibrillator (AED) Training for Laypeople in Face-to-Face, Online, and Mixed Training Methods: An Integrative Literature Review.

Cardiovascular diseases and cardiac arrest (CA) are the main causes of death worldwide. This review aims to identify publications on the learning outcomes for the use of an automated external defibrillator (AED) and/or cardiopulmonary resuscitation (CPR) to train laypeople (LP), the method of training used, the year of publication and their recommendations. We employed Miller's assessment pyramid to describe learning outcomes as knowledge, skills, and confidence. The methods of training are face-to-face, online, and mixed. The evidence found in this study will be used to support the development and validation of a simulation-based training program to teach LP to operate AEDs delivered by drones in rural and remote (R&R) locations. This article is an integrative literature review with a quantitative and qualitative research design and is composed of seven steps: research question, inclusion and exclusion criteria, search and selection of studies, the role of a second reviewer of the findings, data analysis, interpretation and discussion of the results, and finally knowledge synthesis. The results of this review demonstrate that there are no significant differences in the learning outcomes of the different training methods. Since these findings suggest good results in all methods, the development of a training program based on face-to-face, online, and mixed, especially for places with few resources such as R&R places, indicates all methods can be used as good practices to develop training programs.

Development of a data-driven digital phenotype profile of distress experience of healthcare workers during COVID-19 pandemic.

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.

Developing a Partnership Model to Address Gaps in Rural Healthcare Provider Training Using Simulation-Based Health Professions Education.

Rural and remote (R&R) healthcare providers experience difficulties accessing continuing medical education, including simulation, to improve their clinical competencies to address the diverse health needs of the rural Canadian population. At the same time, the College of Family Physicians of Canada (CFPC) has identified a need to shift toward a competency-based curriculum to increase access to clinical training using innovative, flexible methods, such as simulation. Simulation is a strategy that can be applied to facilitate this learning by allowing learners to practice clinical skills on a simulator. However, the high cost of simulators is not a practical solution to address the training needs of R&R healthcare providers. In accordance with one of the CFPC's policy considerations, establishing partnerships between relevant sectors such as university research and innovation centers, for-profit organizations (FPO), and not-for-profit organizations (NPOs) to develop and distribute simulators to R&R healthcare providers can help reduce costs and address gaps in health professions education. Modern, Industry 4.0-related technologies such as three-dimensional (3D) printing allow for sustainable and affordable manufacturing of simulators, however, the tools and "know-how" to develop these simulators are currently limited mainly to university research and innovation centers in urban areas. To date, no simulation-focused partnership model exists that addresses how Industry 4.0 augmented simulation technology can make its way from university research and innovation centers into R&R healthcare settings. The proposed solution is to create a simulation-focused partnership model between university research and innovation centers, FPOs, and NPOs to improve the diffusion of Industry 4.0 augmented simulation technology to the R&R Canadian healthcare sector. Diffusing simulators from a research lab to R&R healthcare providers is a sustainable approach aligned with CFPC's policy considerations to strengthen rural medical education, subsequently strengthening rural medical practice.

Hand Sewn Anastomosis Skill Acquisition and In Vivo Transfer Using 3D-Printed Small Bowel Simulator.

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.