Advances in simulation (London, England)最新文献

Aspirations to achieve quality and safety goals in health services through simulation have led to significant investments in simulation equipment, space and faculty. However, the optimal governance and operational models through which these resources are expertly applied in health services are not known. There is growing evidence supporting 'service' models for simulation. In these models, simulation activities are co-designed and delivered by a team of simulation experts in partnership with health service units, specifically targeting quality and safety goals. Embedded simulation specialist teams working within these programs offer benefits not fully captured by traditional models of health education or by traditional systems for quality and safety.In this article, we explore broad and specific recommendations for establishing a simulation consultancy service within an Australian metropolitan health service. We base these recommendations on a review of current Australian practice and healthcare simulation literature, and on a specific example within a large outer metropolitan health service. The broad domains discussed include (1) governance and leadership; (2) human resources; (3) principles and planning; (4) operationalise and evaluate and (5) look to the future.The recommendations recognise that healthcare simulation is moving beyond solely addressing individual learning outcomes. The value of simulation addressing organisation and system objectives through various simulation modalities is increasingly being explored and demonstrating value. There is a growing demand for translational simulation in these contexts, and a consequent requirement for organisations to consider how simulation services can be successfully operationalised. Recommendations included in this paper are discussed and described with the intent of facilitating a deeper appreciation of the complexities associated with, and opportunities afforded by, a well-integrated simulation service.

Background: While acknowledgement of emotions' importance in simulation-based education is emerging, there are concerns regarding how education researchers understand the concept of emotions for them to deliberately incorporate emotionally charged scenarios into simulation-based education. This concern is highlighted especially in the context of medical education often lacking strong theoretical integration. To map out how current simulation-based education literature conceptualises emotion, we conducted a scoping review on how emotions and closely related constructs (e.g. stress, and emotional intelligence) are conceptualised in simulation-based education articles that feature medical students, residents, and fellows.

Methods: The scoping review was based on articles published in the last decade identified through database searches (EMBASE and Medline) and hand-searched articles. Data extraction included the constructs featured in the articles, their definitions, instruments used, and the types of emotions captured. Only empirical articles were included (e.g. no review or opinion articles). Data were charted via descriptive analyses.

Results: A total of 141 articles were reviewed. Stress was featured in 88 of the articles, while emotions and emotional intelligence were highlighted in 45 and 34 articles respectively. Conceptualisations of emotions lacked integration of theory. Measurements of emotions mostly relied on self-reports while stress was often measured via physiological and self-report measurements. Negative emotions such as anxiety were sometimes seen as interchangeable with the term stress. No inferences were made about specific emotions of participants from their emotional intelligence.

Conclusions: Our scoping review illustrates that learners in simulation-based education are most often anxious and fearful. However, this is partially due to medical education prioritising measuring negative emotions. Further theoretical integration when examining emotions and stress may help broaden the scope towards other kinds of emotions and better conceptualisations of their impact. We call for simulation education researchers to reflect on how they understand emotions, and whether their understanding may neglect any specific aspect of affective experiences their simulation participants may have.

Background: Opportunities to practice procedural skills in the clinical learning environment are decreasing, and faculty time to coach skills is limited, even in simulation-based training. Self-directed learning with hands-on practice early in a procedural skill course might help maximize the benefit of later faculty coaching and clinical experience. However, it may also lead to well-learned errors if learners lack critical guidance. The present study sought to investigate the effects of a hands-on, self-directed "study hall" for central line insertion among first-year residents.

Methods: Learner cohorts before vs. after introduction of the study hall (n = 49) were compared on their pre- and post-test performance of key procedural behaviors that were comparable across cohorts, with all learners receiving traditional instructor-led training between tests.

Results: Study hall participants spent a median of 116 min in hands-on practice (range 57-175). They scored higher at pre-test (44% vs. 27%, p = .00; Cohen's d = 0.95) and at post-test (80% vs. 72%, p = .02; Cohen's d = 0.69). A dose-response relationship was found, such that 2 h of study hall were roughly equivalent to the performance improvement seen with four clinical observations or supervised insertions of central lines.

Conclusions: Self-directed, hands-on "study hall" supported improved procedural skill learning in the context of limited faculty availability. Potential additional benefits make the approach worth further experimentation and evaluation.

Background: Applying simulation-based education (SBE) into surgical curricula is challenging and exacerbated by the absence of guidance on implementation processes. Empirical studies evaluating implementation of SBE interventions focus primarily on outcomes. However, understanding the processes involved in organising, planning, and delivering SBE adds knowledge on how best to develop, implement, and sustain surgical SBE. This study used a reform of early years surgical training to explore the implementation of a new SBE programme in Scotland. It aimed to understand the processes that are involved in the relative success (or failure) when implementing surgical SBE interventions.

Methods: This qualitative case study, underpinned by social constructionism, used publicly available documents and the relevant surgical SBE literature to inform the research focus and contextualise data obtained from semi-structured interviews with core surgical trainees (n = 46), consultant surgeons (n = 25), and key leaders with roles in surgical training governance in Scotland (n = 7). Initial data coding and analysis were inductive. Secondary data analysis was then undertaken using Normalisation Process Theory (NPT). NPTs' four constructs (coherence, cognitive participation, collective action, reflexive monitoring) provided an explanatory framework for scrutinising how interventions are implemented, embedded, and integrated into practice, i.e. the "normalisation" process.

Results: Distributed leadership (individual SBE initiatives assigned to faculty but overall programme overseen by a single leader) and the quality improvement practise of iterative refinement were identified as key novel processes promoting successful normalisation of the new SBE programme. Other processes widely described in the literature were also identified: stakeholder collaboration, personal contacts/relational processes, effective communication, faculty development, effective leadership, and tight programme management. The study also identified that learners valued SBE activities in group- or team-based social environments over isolated deliberate practice.

Conclusions: SBE is most effective when designed as a comprehensive programme aligned to the curriculum. Programmes incorporating both group-based and isolated SBE activities promote deliberate practice. Distributed leadership amongst faculty attracts wide engagement integral to SBE programme implementation, while iterative programme refinement through regular evaluation and action on feedback encourages integration into practice. The knowledge contributed by critically analysing SBE programme implementation processes can support development of much needed guidance in this area.

Background: Colonoscopy is difficult to learn. Virtual reality simulation training is helpful, but how and when novices should progress to patient-based training has yet to be established. To date, there is no assessment tool for credentialing novice endoscopists prior to clinical practice. The aim of this study was to develop such an assessment tool based on metrics provided by the simulator. The metrics used for the assessment tool should be able to discriminate between novices, intermediates, and experts and include essential checklist items for patient safety.

Methods: The validation process was conducted based on the Standards for Educational and Psychological Testing. An expert panel decided upon three essential checklist items for patient safety based on Lawshe's method: perforation, hazardous tension to the bowel wall, and cecal intubation. A power calculation was performed. In this study, the Simbionix GI Mentor II simulator was used. Metrics with discriminatory ability were identified with variance analysis and combined to form an aggregate score. Based on this score and the essential items, pass/fail standards were set and reliability was tested.

Results: Twenty-four participants (eight novices, eight intermediates, and eight expert endoscopists) performed two simulated colonoscopies. Four metrics with discriminatory ability were identified. The aggregate score ranged from 4.2 to 51.2 points. Novices had a mean score of 10.00 (SD 5.13), intermediates 24.63 (SD 7.91), and experts 30.72 (SD 11.98). The difference in score between novices and the other two groups was statistically significant (p<0.01). Although expert endoscopists had a higher score, the difference was not statistically significant (p=0.40). Reliability was good (Cronbach's alpha=0.86). A pass/fail score was defined at 17.1 points with correct completion of three essential checklist items, resulting in three experts and three intermediates failing and one novice passing the assessment.

Conclusion: We established a valid and reliable assessment tool with a pass/fail standard on the simulator. We suggest using the assessment after simulation-based training before commencing work-based learning.

Background: Operating rooms have become more technically complex due to new advanced procedures, which has increased demands on teamwork in the operating room. In response, team training has been proposed to improve team performance, workplace culture, and patient safety. We developed and delivered a simulation-based team training course for entire professional surgical teams. This type of intervention has been proposed by researchers but has not been widely published. The aims of this intervention study were to examine participants' reactions to the course in terms of their motivation for the training and their self-efficacy in relation to their performance, as well as their views on transferring the lessons learned in the course to their workplace.

Methods: In a prospective mixed-methods intervention study, operating room professionals participated in a full-day simulation-based teamwork training course. Learning objectives were nontechnical skills, specifically communication and collaboration across the team. Seventy-one staff members representing 5 operating room professions were included, and the average work experience of participants was 6 years. Quantitative data on self-efficacy and situational motivation were collected by questionnaires before and after training. Qualitative data were collected through 5 focus group interviews that took place in direct relation to the courses and included a total of 31 participants. Transcripts were coded and analyzed using thematic analysis.

Results: All occupations showed a similar pattern in terms of increases in self-efficacy and intrinsic motivation after the training. Analysis of the qualitative data showed that training in one's profession and in authentic multiprofessional teams was important factors for motivation. Participating staff described an awareness of undesirable communication barriers in surgical teams that can lead to risks for patients. Systematic training was definitely perceived as a means to reduce barriers and improve communication and collaboration.

Conclusion: Simulation-based training was equally well received by all professional groups. Our results confirm the feasibility of this type of training for professional teams and promising opportunities for improving teamwork skills. The qualitative data reveal both opportunities and limitations for transferring the learning experiences to the workplace.

Background: Within healthcare, the barriers and enablers that influence clinicians' ability to speak up are well researched. However, despite the receiver of the message being identified as a key barrier to a speaker voicing a concern, there have been very few receiver-focused studies. As a result, little is known about the barriers and enablers that influence message reception. Understanding these can help inform speaking up training and ultimately enhance patient safety through more effective clinical communication.

Objectives: To identify enabling or inhibiting factors that influence the receiver's reception and response to a speaking up message, and if the identified barriers and enablers are related to speaker or receiver characteristics.

Design and methods: Twenty-two interdisciplinary simulations were video recorded and transcribed. Simulation participants formed the patient discharge team and were receivers of a speaking up message, delivered by a nurse at the patient's bedside. How the message was delivered (verbose or abrupt wording), was manipulated and counterbalanced across the simulations. Within the post simulation debriefs, barriers and enablers of being a receiver of a message were explored using content analysis.

Setting/participants: This study took place in a large Australian tertiary healthcare setting. Participants were qualified clinicians of varying disciplines and specialties.

Results: A total of 261 barriers and 285 enablers were coded. Results showed that how the message was delivered (differing tone, phases, and manner) influenced what receivers identified as barriers and enablers. Additionally, the receiver's own cognitive processes, such as making positive attributions of the speaker and attempting to build rapport and collegiality, better enabled message reception and response. Receiver behaviour was negatively impacted by listening to fix, rather than understand, and not knowing in the moment how to manage their own reactions and appropriately frame a response.

Conclusion: The debriefings identified key barriers and enablers to receiving a speaking up message that differ from those previously identified for senders of the speaking up message. Current speaking up programs are predominately speaker centric. This study identified that both speaker and receiver behaviour influenced message reception. Therefore, training must place equal attention on both the speaker and receiver and be inclusive of experiential conversational rehearsal of both positive and challenging encounters.

Maintaining an optimal acid base is important for the patient. The theory underlying acid-base balance can be challenging for clinicians and educators. These considerations justify creating simulations that include realistic changes to the partial pressure of carbon dioxide, pH, and bicarbonate ion concentration in a range of conditions. Our explanatory simulation application requires a model that derives these variables from total carbon dioxide content and runs in real time. The presented model is derived from the Stewart model, which is based on physical and chemical principles, and takes into account the effects of weak acids and strong ions on the acid-base balance. An inventive code procedure allows for efficient computation. The simulation results match target data for a broad range of clinically and educationally relevant disturbances of the acid-base balance. The model code meets the real-time goals of the application and can be applied in other educational simulations. Python model source code is made available.

Background: This methodological intersection article demonstrates a method to measure cognitive load in clinical simulations. Researchers have hypothesized that high levels of cognitive load reduce performance and increase errors. This phenomenon has been studied primarily by experimental designs that measure responses to predetermined stimuli and self-reports that reduce the experience to a summative value. Our goal was to develop a method to identify clinical activities with high cognitive burden using physiologic measures.

Methods: Teams of emergency medical responders were recruited from local fire departments to participate in a scenario with a shockable pediatric out-of-hospital cardiac arrest (POHCA) patient. The scenario was standardized with the patient being resuscitated after receiving high-quality CPR and 3 defibrillations. Each team had a person in charge (PIC) who wore a functional near-infrared spectroscopy (fNIRS) device that recorded changes in oxygenated and deoxygenated hemoglobin concentration in their prefrontal cortex (PFC), which was interpreted as cognitive activity. We developed a data processing pipeline to remove nonneural noise (e.g., motion artifacts, heart rate, respiration, and blood pressure) and detect statistically significant changes in cognitive activity. Two researchers independently watched videos and coded clinical tasks corresponding to detected events. Disagreements were resolved through consensus, and results were validated by clinicians.

Results: We conducted 18 simulations with 122 participants. Participants arrived in teams of 4 to 7 members, including one PIC. We recorded the PIC's fNIRS signals and identified 173 events associated with increased cognitive activity. [Defibrillation] (N = 34); [medication] dosing (N = 33); and [rhythm checks] (N = 28) coincided most frequently with detected elevations in cognitive activity. [Defibrillations] had affinity with the right PFC, while [medication] dosing and [rhythm checks] had affinity with the left PFC.

Conclusions: FNIRS is a promising tool for physiologically measuring cognitive load. We describe a novel approach to scan the signal for statistically significant events with no a priori assumptions of when they occur. The events corresponded to key resuscitation tasks and appeared to be specific to the type of task based on activated regions in the PFC. Identifying and understanding the clinical tasks that require high cognitive load can suggest targets for interventions to decrease cognitive load and errors in care.

The use of medical simulators for training technical and diagnostic skills has rapidly increased over the past decade. Yet, most available medical simulators have not been developed based on a structured evaluation of their intended uses but rather out of expected commercial value. Moreover, educators often struggle to access simulators because of cost or because no simulators have been developed for a particular procedure. In this report, we introduce "the V-model" as a conceptual framework to illustrate how simulator development can be guided by the intended uses in an iterative fashion. Applying a needs-based conceptual framework when developing simulators is important to increase the accessibility and sustainability of simulation-based medical education. It will minimize the developmental barriers and costs, while at the same time improving educational outcomes. Two new simulators for invasive ultrasound-guided procedures are used as examples, the chorionic villus sampling model and the ultrasound-guided aspiration trainer. Our conceptual framework and the use cases can serve as a template for future simulator development and documentation hereof.