Simulation in Healthcare-Journal of the Society for Simulation in Healthcare最新文献

Introduction: Most standardized patients (SPs) in Taiwan are middle-aged or older volunteers with a high retention rate and selflessly devote themselves to the service. This study explored the psychological process behind the continued altruistic behaviors of SPs to understand the formation of service motivation, professional identity, and internal transformation.

Methods: Sixteen volunteers, aged 50 to 70 years, who served as SPs for 3 to 11 years in a religious hospital were enrolled in this study. Individual semistructured interviews were conducted. Each person was interviewed for approximately 120 minutes. We used a thematic analysis to analyze the interview transcripts.

Results: We identified 3 major themes and 8 subthemes. The first theme, SPs' service motivation, included the following 3 subthemes: past medical experiences, acquisition of medical knowledge, and emotional connections. The second theme, SPs' identity formation, included the following 3 subthemes: role recognition, work ethic, and a sense of religious mission. The third theme, SPs' physical and psychological support, included 2 subthemes: internal transformation and personal well-being.

Conclusions: The interview results showed doctor-patient or life experiences served as the impetus prompting SPs to engage in such altruistic behavior. In addition, identity formation endowed older SPs with a life purpose and a sense of fulfillment and self-actualization through fostering and training medical students. In addition, a clear recognition of the role of an SP and self-worth helped volunteers mitigate any physical and mental problems caused by negative life experiences. Standardized patients continued to complete their tasks with a positive attitude.

Summary statement: Health care policies have the potential to improve patient outcomes, access to care, and reduce health disparities. However, new policy is often tested in the field, where unintended consequences are paid for by patients. In this perspective, we argue that health care simulations, which can elucidate the potential for policy to hinder clinicians' ability to provide high-quality care, are a complement to large-scale policy evaluations in the field.

Summary statement: Bibliometrics quantitatively evaluates the targeted literature sources and can help define research and scholarly publications' impact and demonstrate connections for authors, departments, or universities. This article presents a methodology for simulation programs to evaluate their influence in terms of both impact and scope of their published simulation-based healthcare scholarly output. Using the authors' home university and healthcare system as an example, the article outlines a methodology to map research and scholarly works networks within the systems, identify and map connections outside the system, and quantifiably score the overall impact of the simulation program's scholarly output using a common scoring metric, the h-index. This generates an objective measure of impact, rather than a subjective opinion of an organization's research and scholarly impact. The combination of an institutional h-index with mapping of simulation-based healthcare scholarly output provides a full, objective description of the institution's output and provides a benchmark for other simulation programs for comparison.

Introduction: Well-designed simulation-based learning (SBL) experiences enhance students' self-confidence, self-efficacy, clinical judgment, and psychomotor skill development. An emerging concept in SBL research is psychological safety. There is currently no research on factors influencing psychological safety specifically related to the SBL environment, nor is there any literature found to determine whether intrinsic student characteristic, such as self-compassion and resilience, contributes to SBL learning outcomes. The aim of this study is to determine whether there is a relationship between nursing students' intrinsic characteristics (self-compassion, resilience, and anxiety sensitivity) and their psychological safety.

Methods: Bivariate correlation was used to examine associations among sociodemographic variables and outcome variables. Multiple regression was used to determine the predictive nature of the sociodemographic variables. Assumptions for variables in multiple regression models were tested (normal distribution, heteroscedasticity, multicollinearity). All data were analyzed in SPSS, Version 28. The P value of significance was set at 0.05 for all analyses.

Results: Most of the 118 participants were non-Hispanic (89%), White (65%), and females (95%). Results of the demographic bivariate analysis revealed no significant differences among this diverse group or semester in the curriculum for psychological safety. The multiple regression found self-compassion (β = 29, P = 0.004), anxiety sensitivity (β = -0.16, P = 0.049), and resilience (β = 0.26, P = 0.004) predict psychological safety.

Conclusions: The importance of creating a psychologically safe learning environment has been recognized as essential to best practices. Our findings suggest that an understanding of student characteristics that impact their perception of psychological safety will allow educators to develop strategies to better support learners in the simulation environment.

Introduction: We describe the development and validation of a mixed-reality prostate biopsy (PBx) simulator with built-in guidance aids and real-time 3-dimensional visualization.

Methods: We evaluated our simulator during one-on-one training sessions with urology residents and attendings from 2018 to 2022. Participants performed freehand, side-fire, double-sextant transrectal ultrasound-guided systematic prostate biopsy (sPBx). After a baseline assessment (first set of 12 biopsy cores), participants trained for 25 minutes with visualization and cognitive aids activated. Training was followed by an exit set of 12 biopsy cores without visualization or cognitive aids and afterward, subjective assessment by trainees of the simulator. Deviation is the shortest distance of the center of a core from its intended template location.

Results: Baseline deviations (mean ± SD) for residents (n = 24) and attendings (n = 4) were 13.4 ± 8.9 mm and 8.5 ± 3.6 mm ( P < 0.001), respectively. Posttraining deviations were 8.7 ± 6.6 mm and 7.6 ± 3.7 mm ( P = 0.271), respectively. Deviations between baseline and exit were decreased significantly for residents ( P < 0.001) but not for attendings ( P = 0.093). Overall feedback from participants was positive. Confidence in performing a PBx increased in novices after training ( P = 0.011) and did not change among attendings ( P = 0.180).

Conclusions: A new PBx simulator can quantify and improve accuracy during simulated freehand sPBx while providing visualization and graphical feedback. Improved simulated sPBx accuracy could lead to more even distribution of biopsy cores within the prostate when performed in clinical settings, possibly reducing the high risk of missing an existing lesion and thus decreasing the time to initiating treatment, if indicated.

Introduction: Although uncommon, cardiac arrests in the cardiac catheterization laboratory (CCL) are often catastrophic and likely to increase with rising case complexity. In situ simulation (ISS) has been used to identify latent safety threats (LSTs) in inpatient units but has not yet been studied in the CCL.

Methods: Three Plan-Do-Study-Act (PDSA) cycles leveraging ISS were conducted focused on acute airway management. Data collected through debriefs focused on (1) airway management, (2) equipment availability, and (3) interdepartmental communication. The LSTs were subcategorized and plotted on the Survey Analysis for Evaluating Risk (SAFER)-Matrix. A SAFER score was calculated based on quantifying the likelihood of harm, scope, and the number of times a threat was identified during simulation. Time to definitive airway was collected as a secondary measure. Interventions were developed using cause and effect and driver diagrams between PDSA cycles.

Results: Eleven total simulations through 3 PDSA cycles were conducted between January and December 2021 (5 in PDSA 1, 4 in PDSA 2, and 2 in PDSA 3). One hundred one LSTs were identified with 14 total subcategories. The mean SAFER score decreased from 5.37 in PDSA 1, to 2.96 in PDSA 2, and to 1.00 in PDSA 3. Bivariate regression analysis showed a decrease in SAFER score of 2.19 for every PDSA cycle ( P = 0.011). Ordinary least squares regression had a decrease of 1.65 in airway-related threats every PDSA cycle ( P < 0.01) as well as an increase in intubation time of 35.0 seconds for every 1-unit increase in communication threat identified ( P = 0.037).

Conclusions: This study successfully leveraged ISS and existing quality improvement initiatives in the CCL, resulting in a decrease in airway-related threats as measured through simulation.

Statement: There continues to be a lack of detailed understanding of how debriefing works and how it enables learning. To further our understanding and simultaneously illuminate current knowledge, a metaethnographic qualitative synthesis was undertaken to address the research question: how are interactions in simulation debriefing related to participant learning? Ten databases were searched (up to November 2020) and 17 articles were selected for inclusion. Initial interpretive synthesis generated 37 new concepts that were further synthesized to produce a new theoretical framework. At the heart of the framework is a concept of reflective work , where participants and faculty recontextualize the simulation experience bidirectionally with clinical reality: a process that facilitates sensemaking. This occurs in a learning milieu where activities such as storytelling, performance evaluation, perspective sharing, agenda setting, and video use are undertaken. The outcome is conceptualization of new future roles, clinical competence, and professional language development-a process of transforming professional identity.

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.