Medical Students' Speak Up Barriers: A Randomized Controlled Trial With Written Vignettes.

OBJECTIVES: Little is known about medical students' speak-up barriers upon recognizing or becoming aware of risky or deficient actions of others. Improving our knowledge on these helps in preparing student to function in actual health care organizations. The aim was to examine medical students' perceived reasons for silence in respect to different speak-up situations (i.e., vignette content) and to test if vignette difficulty had an effect on reasons indicated. METHODS: This study was a randomized, controlled, single-blind trial, with text-based vignettes to investigate speak-up barriers. Vignette contents described speak-up situations that varied systematically with respect to speak up barrier (i.e., environmental norm, uncertainty, hierarchy) and difficulty (i.e., easy, difficult). For each vignette, participants indicated which speak-up barriers they regarded as important.Descriptive analysis was performed for the study population, the numbers of barriers perceived and rating of vignette difficulty. Logistic regression analysis was used to examine the association between barriers perceived and vignette contents, designed vignette difficulty and subjectively rated vignette difficulty. RESULTS: A total of 265 students were included. The response rate was 100%. Different barriers were relevant for the different vignettes and varied in a consistent way with the theme of the vignette. Significantly more speak-up barriers were indicated for participants with the difficult version for vignette 1 (not an environmental norm) and vignette 3 (hierarchy) with odds ratio (OR) = 1.52 and 95% confidence interval (95% CI: 1.33-1.73) and OR = 1.25 (95% CI: 1.09-1.44). For (OR) estimates, confidence intervals were rather large. CONCLUSIONS: Perceived barriers for speak-up vary consistently with the characteristics of the situation and more barriers preventing speak up were related to the difficult versions of the vignettes.

User Perceptions of Visual Clot in a High-Fidelity Simulation Study: Mixed Qualitative-Quantitative Study.

BACKGROUND: Viscoelastic hemostatic assays, such as rotational thromboelastometry (ROTEM) or thromboelastography, enable prompt diagnosis and accelerate targeted treatment. However, the complex interpretation of the results remains challenging. Visual Clot-a situation awareness-based visualization technology-was developed to assist clinicians in interpreting viscoelastic tests. OBJECTIVE: Following a previous high-fidelity simulation study, we analyzed users' perceptions of the technology, to identify its strengths and limitations from clinicians' perspectives. METHODS: This is a mixed qualitative-quantitative study consisting of interviews and a survey. After solving coagulation scenarios using Visual Clot in high-fidelity simulations, we interviewed anesthesia personnel about the perceived advantages and disadvantages of the new tool. We used a template approach to identify dominant themes in interview responses. From these themes, we defined 5 statements, which were then rated on Likert scales in a questionnaire. RESULTS: We interviewed 77 participants and 23 completed the survey. We identified 9 frequently mentioned topics by analyzing the interview responses. The most common themes were "positive design features," "intuitive and easy to learn," and "lack of a quantitative component." In the survey, 21 respondents agreed that Visual Clot is easy to learn and 16 respondents stated that a combination of Visual Clot and ROTEM would help them manage complex hemostatic situations. CONCLUSIONS: A group of anesthesia care providers found Visual Clot well-designed, intuitive, and easy to learn. Participants highlighted its usefulness in emergencies, especially for clinicians inexperienced in coagulation management. However, the lack of quantitative information is an area for improvement.

Society for Simulation in Healthcare Guidelines for Simulation Training.

BACKGROUND: Simulation has become a staple in the training of healthcare professionals with accumulating evidence on its effectiveness. However, guidelines for optimal methods of simulation training do not currently exist. METHODS: Systematic reviews of the literature on 16 identified key questions were conducted and expert panel consensus recommendations determined using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. OBJECTIVE: These evidence-based guidelines from the Society for Simulation in Healthcare intend to support healthcare professionals in decisions on the most effective methods for simulation training in healthcare. RESULTS: Twenty recommendations on 16 questions were determined using GRADE. Four expert recommendations were also provided. CONCLUSIONS: The first evidence-based guidelines for simulation training are provided to guide instructors and learners on the most effective use of simulation in healthcare.

Debriefing Methods for Simulation in Healthcare: A Systematic Review.

ABSTRACT: Debriefing is a critical component in most simulation experiences. With the growing number of debriefing concepts, approaches, and tools, we need to understand how to debrief most effectively because there is little empiric evidence to guide us in their use. This systematic review explores the current literature on debriefing in healthcare simulation education to understand the evidence behind practice and clarify gaps in the literature. The PICO question for this review was defined as "In healthcare providers [P], does the use of one debriefing or feedback intervention [I], compared to a different debriefing or feedback intervention [C], improve educational and clinical outcomes [O] in simulation-based education?" We included 70 studies in our final review and found that our current debriefing strategies, frameworks, and techniques are not based on robust empirical evidence. Based on this, we highlight future research needs.

Make a difference: implementation, quality and effectiveness of the WHO Surgical Safety Checklist-a narrative review.

Background and Objective: The positive effects of the WHO Surgery Safety Checklist (WHO SSC) have been demonstrated by a large amount of quantitative studies. With this review, the focus changes to the content of qualitative studies on WHO SSC to identify possible research gaps. In this way, gaps in the content of the execution of individual checklists can be closed. Methods: The two research platforms "Ovid Medline" and "PubMed" formed a solid basis for the literature research. The search was conducted until the 19th of September 2022. The following group terms were used: "checklist", "surgery", "implementation", and "WHO Surgical Safety Checklist". Subsequently, the literature research was limited to studies between 2011 and 2021 in either English or German. Key Content and Findings: Overall, a positive effect was found in all qualitative studies on WHO SSC with respect to leadership, teamwork, timing and acceptance. Acceptance through effective implementation of the SSC deserves special mention. Several studies highlighted the lack of understanding and training, which led to variation in execution. A large number of studies agree that the WHO SSC is fostering teamwork and improving communication. However, there are also hurdles and barriers in the application that seem to have an influence on the effectiveness. Conclusions: The exact mechanisms of the advantage and application of the checklist are still poorly understood. Further research in this area is needed for a better understanding of the underlying work culture and consequently improving patient safety.

Coagulation Management of Critically Bleeding Patients With Viscoelastic Testing Presented as a 3D-Animated Blood Clot (The Visual Clot): Randomized Controlled High-Fidelity Simulation Study.

BACKGROUND: Guidelines recommend using viscoelastic coagulation tests to guide coagulation management, but interpreting the results remains challenging. Visual Clot, a 3D animated blood clot, facilitates interpretation through a user-centered and situation awareness-oriented design. OBJECTIVE: This study aims to compare the effects of Visual Clot versus conventional viscoelastic test results (rotational thrombelastometry [ROTEM] temograms) on the coagulation management performance of anesthesia teams in critical bleeding situations. METHODS: We conducted a prospective, randomized, high-fidelity simulation study in which anesthesia teams (consisting of a senior anesthesiologist, a resident anesthesiologist, and an anesthesia nurse) managed perioperative bleeding scenarios. Teams had either Visual Clot or ROTEM temograms available to perform targeted coagulation management. We analyzed the 15-minute simulations with post hoc video analysis. The primary outcome was correct targeted coagulation therapy. Secondary outcomes were time to targeted coagulation therapy, confidence, and workload. In addition, we have conducted a qualitative survey on user acceptance of Visual Clot. We used Poisson regression, Cox regression, and mixed logistic regression models, adjusted for various potential confounders, to analyze the data. RESULTS: We analyzed 59 simulations. Teams using Visual Clot were more likely to deliver the overall targeted coagulation therapy correctly (rate ratio 1.56, 95% CI 1.00-2.47; P=.05) and administer the first targeted coagulation product faster (hazard ratio 2.58, 95% CI 1.37-4.85; P=.003). In addition, participants showed higher decision confidence with Visual Clot (odds ratio 3.60, 95% CI 1.49-8.71; P=.005). We found no difference in workload (coefficient -0.03, 95% CI -3.08 to 2.88; P=.99). CONCLUSIONS: Using Visual Clot led to a more accurate and faster-targeted coagulation therapy than using ROTEM temograms. We suggest that relevant viscoelastic test manufacturers consider augmenting their complex result presentation with intuitive, easy-to-understand visualization to ease users' burden from unnecessary cognitive load and enhance patient care.

"Asking for help is a strength"-how to promote undergraduate medical students' teamwork through simulation training and interprofessional faculty.

The ability to team up and safely work in any kind of healthcare team is a critical asset and should be taught early on in medical education. Medical students should be given the chance to "walk the talk" of teamwork by training and reflecting in teams. Our goal was to design, implement and evaluate the feasibility of a simulation-based teamwork training (TeamSIM) for undergraduate medical students that puts generic teamwork skills centerstage. We designed TeamSIM to include 12 learning objectives. For this pre-post, mixed-methods feasibility study, third-year medical students, organized in teams of 11-12 students, participated and observed each other in eight simulations of different clinical situation with varying degrees of complexity (e.g., deteriorating patient in ward; trauma; resuscitation). Guided by an interprofessional clinical faculty with simulation-based instructor training, student teams reflected on their shared experience in structured team debriefings. Using published instruments, we measured (a) students' reactions to TeamSIM and their perceptions of psychological safety via self-report, (b) their ongoing reflections via experience sampling, and (c) their teamwork skills via behavior observation. Ninety four students participated. They reported positive reactions to TeamSIM (M = 5.23, SD = 0.5). Their mean initial reported level of psychological safety was M = 3.8 (SD = 0.4) which rose to M = 4.3 (SD = 0.5) toward the end of the course [T(21) = -2.8, 95% CI -0.78 to-0.12, p = 0.011 (two-tailed)]. We obtained n = 314 headline reflections from the students and n = 95 from the faculty. For the students, the most frequent theme assigned to their headlines involved the concepts taught in the course such as "10 s for 10 min." For the faculty, the most frequent theme assigned to their headlines were reflections on how their simulation session worked for the students. The faculty rated students' teamwork skills higher after the last compared to the first debriefing. Undergraduate medical students can learn crucial teamwork skills in simulations supported by an experienced faculty and with a high degree of psychological safety. Both students and faculty appreciate the learning possibilities of simulation. At the same time, this learning can be challenging, intense and overwhelming. It takes a team to teach teamwork.

How to enrich team research in healthcare by considering five theoretical perspectives.

The aim of this paper is to inspire team research to apply diverse and unconventional perspectives to study team dynamics and performance in healthcare settings. To illustrate that using multiple perspectives can yield valuable insights, we examine a segment of a team interaction during a heart-surgery, using five distinct interdisciplinary perspectives known from small group research: the psychodynamic, functional, conflict-power-status, temporal, and social identity perspectives. We briefly describe each theoretical perspective, discuss its application to study healthcare teams, and present possible research questions for the segment at hand using the respective perspective. We also highlight the benefits and challenges associated with employing these diverse approaches and explore how they can be integrated to analyze team processes in health care. Finally, we offer our own insights and opinions on the integration of these approaches, as well as the types of data required to conduct such analyses. We also point to further research avenues and highlight the benefits associated with employing these diverse approaches. Finally, we offer our own insights and opinions on the integration of these approaches, as well as the types of data required to conduct such analyses.

Human-AI teaming: leveraging transactive memory and speaking up for enhanced team effectiveness.

In this prospective observational study, we investigate the role of transactive memory and speaking up in human-AI teams comprising 180 intensive care (ICU) physicians and nurses working with AI in a simulated clinical environment. Our findings indicate that interactions with AI agents differ significantly from human interactions, as accessing information from AI agents is positively linked to a team's ability to generate novel hypotheses and demonstrate speaking-up behavior, but only in higher-performing teams. Conversely, accessing information from human team members is negatively associated with these aspects, regardless of team performance. This study is a valuable contribution to the expanding field of research on human-AI teams and team science in general, as it emphasizes the necessity of incorporating AI agents as knowledge sources in a team's transactive memory system, as well as highlighting their role as catalysts for speaking up. Practical implications include suggestions for the design of future AI systems and human-AI team training in healthcare and beyond.

Measuring teamwork for training in healthcare using eye tracking and pose estimation.

Teamwork is critical for safe patient care. Healthcare teams typically train teamwork in simulated clinical situations, which require the ability to measure teamwork via behavior observation. However, the required observations are prone to human biases and include significant cognitive load even for trained instructors. In this observational study we explored how eye tracking and pose estimation as two minimal invasive video-based technologies may measure teamwork during simulation-based teamwork training in healthcare. Mobile eye tracking, measuring where participants look, and multi-person pose estimation, measuring 3D human body and joint position, were used to record 64 third-year medical students who completed a simulated handover case in teams of four. On one hand, we processed the recorded data into the eye contact metric, based on eye tracking and relevant for situational awareness and communication patterns. On the other hand, the distance to patient metric was processed, based on multi-person pose estimation and relevant for team positioning and coordination. After successful data recording, we successfully processed the raw videos to specific teamwork metrics. The average eye contact time was 6.46 s [min 0 s - max 28.01 s], while the average distance to the patient resulted in 1.01 m [min 0.32 m - max 1.6 m]. Both metrics varied significantly between teams and simulated roles of participants (p < 0.001). With the objective, continuous, and reliable metrics we created visualizations illustrating the teams' interactions. Future research is necessary to generalize our findings and how they may complement existing methods, support instructors, and contribute to the quality of teamwork training in healthcare.

Data-driven resuscitation training using pose estimation.

BACKGROUND: Cardiopulmonary resuscitation (CPR) training improves CPR skills while heavily relying on feedback. The quality of feedback can vary between experts, indicating a need for data-driven feedback to support experts. The goal of this study was to investigate pose estimation, a motion detection technology, to assess individual and team CPR quality with the arm angle and chest-to-chest distance metrics. METHODS: After mandatory basic life support training, 91 healthcare providers performed a simulated CPR scenario in teams. Their behaviour was simultaneously rated based on pose estimation and by experts. It was assessed if the arm was straight at the elbow, by calculating the mean arm angle, and how close the distance between the team members was during chest compressions, by calculating the chest-to-chest distance. Both pose estimation metrics were compared with the expert ratings. RESULTS: The data-driven and expert-based ratings for the arm angle differed by 77.3%, and based on pose estimation, 13.2% of participants kept the arm straight. The chest-to-chest distance ratings by expert and by pose estimation differed by 20.7% and based on pose estimation 63.2% of participants were closer than 1 m to the team member performing compressions. CONCLUSIONS: Pose estimation-based metrics assessed learners' arm angles in more detail and their chest-to-chest distance comparably to expert ratings. Pose estimation metrics can complement educators with additional objective detail and allow them to focus on other aspects of the simulated CPR training, increasing the training's success and the participants' CPR quality. TRIAL REGISTRATION: Not applicable.

User Perceptions of ROTEM-Guided Haemostatic Resuscitation: A Mixed Qualitative-Quantitative Study.

Viscoelastic point-of-care haemostatic resuscitation methods, such as ROTEM or TEG, are crucial in deciding on time-efficient personalised coagulation interventions. International transfusion guidelines emphasise increased patient safety and reduced treatment costs. We analysed care providers' perceptions of ROTEM to identify perceived strengths and areas for improvement. We conducted a single-centre, mixed qualitative-quantitative study consisting of interviews followed by an online survey. Using a template approach, we first identified themes in the responses given by care providers about ROTEM. Later, the participants rated six statements based on the identified themes on five-point Likert scales in an online questionnaire. Seventy-seven participants were interviewed, and 52 completed the online survey. By analysing user perceptions, we identified ten themes. The most common positive theme was "high accuracy". The most common negative theme was "need for training". In the online survey, 94% of participants agreed that monitoring the real-time ROTEM temograms helps to initiate targeted treatment more quickly and 81% agreed that recurrent ROTEM training would be beneficial. Anaesthesia care providers found ROTEM to be accurate and quickly available to support decision-making in dynamic and complex haemostatic situations. However, clinicians identified that interpreting ROTEM is a complex and cognitively demanding task that requires significant training needs.

Helping healthcare teams to debrief effectively: associations of debriefers' actions and participants' reflections during team debriefings.

BACKGROUND: Debriefings help teams learn quickly and treat patients safely. However, many clinicians and educators report to struggle with leading debriefings. Little empirical knowledge on optimal debriefing processes is available. The aim of the study was to evaluate the potential of specific types of debriefer communication to trigger participants' reflection in debriefings. METHODS: In this prospective observational, microanalytic interaction analysis study, we observed clinicians while they participated in healthcare team debriefings following three high-risk anaesthetic scenarios during simulation-based team training. Using the video-recorded debriefings and INTERACT coding software, we applied timed, event-based coding with DE-CODE, a coding scheme for assessing debriefing interactions. We used lag sequential analysis to explore the relationship between what debriefers and participants said. We hypothesised that combining advocacy (ie, stating an observation followed by an opinion) with an open-ended question would be associated with participants' verbalisation of a mental model as a particular form of reflection. RESULTS: The 50 debriefings with overall 114 participants had a mean duration of 49.35 min (SD=8.89 min) and included 18 486 behavioural transitions. We detected significant behavioural linkages from debriefers' observation to debriefers' opinion (z=9.85, p<0.001), from opinion to debriefers' open-ended question (z=9.52, p<0.001) and from open-ended question to participants' mental model (z=7.41, p<0.001), supporting our hypothesis. Furthermore, participants shared mental models after debriefers paraphrased their statements and asked specific questions but not after debriefers appreciated their actions without asking any follow-up questions. Participants also triggered reflection among themselves, particularly by sharing personal anecdotes. CONCLUSION: When debriefers pair their observations and opinions with open-ended questions, paraphrase participants' statements and ask specific questions, they help participants reflect during debriefings.

Exposure to incivility does not hinder speaking up: a randomised controlled high-fidelity simulation-based study.

BACKGROUND: Speaking up with concerns is critical for patient safety. We studied whether witnessing a civil (i.e. polite, respectful) response to speaking up would increase the occurrence of further speaking up by hospital staff members as compared with witnessing a pseudo-civil (i.e. vague and slightly dismissive) or rude response. METHODS: In this RCT in a single, large academic teaching hospital, a single simulated basic life support scenario was designed to elicit standardised opportunities to speak up. Participants in teams of two or three were randomly assigned to one of three experimental conditions in which the degree of civility in reacting to speaking up was manipulated by an embedded simulated person. Speaking up behaviour was assessed by behaviour coding of the video recordings of the team interactions by applying 10 codes using The Observer XT 14.1. Data were analysed using multilevel modelling. RESULTS: The sample included 125 interprofessional hospital staff members (82 [66%] women, 43 [34%] men). Participants were more likely to speak up when they felt psychologically safe (γ=0.47; standard error [se]=0.19; 95% confidence interval [CI], 0.09-0.85; P=0.017). Participants were more likely to speak up in the rude condition than in the other conditions (γ=0.28; se=0.12; 95% CI, 0.05-0.52; P=0.019). Across conditions, participants spoke up most frequently by structuring inquiry (n=289, 31.52%), proactive (n=240, 26.17%), and reactive (n=148, 16.14%) instruction statements, and gestures (n=139, 15.16%). CONCLUSION: Our study challenges current assumptions about the interplay of civility and speaking up behaviour in healthcare.

Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study.

BACKGROUND: Inadequate situational awareness accounts for two-thirds of preventable complications in anesthesia. An essential tool for situational awareness in the perioperative setting is the patient monitor. However, the conventional monitor has several weaknesses. Avatar-based patient monitoring may address these shortcomings and promote situation awareness, a prerequisite for good decision making. OBJECTIVE: The spatial distribution of visual attention is a fundamental process for achieving adequate situation awareness and thus a potential quantifiable surrogate for situation awareness. Moreover, measuring visual attention with a head-mounted eye-tracker may provide insights into usage and acceptance of the new avatar-based patient monitoring modality. METHODS: This prospective eye-tracking study compared anesthesia providers' visual attention on conventional and avatar-based patient monitors during simulated critical anesthesia events. We defined visual attention, measured as fixation count and dwell time, as our primary outcome. We correlated visual attention with the potential confounders: performance in managing simulated critical anesthesia events (task performance), work experience, and profession. We used mixed linear models to analyze the results. RESULTS: Fifty-two teams performed 156 simulations. After a manual quality check of the eye-tracking footage, we excluded 57 simulations due to technical problems and quality issues. Participants had a median of 198 (IQR 92.5-317.5) fixations on the patient monitor with a median dwell time of 30.2 (IQR 14.9-51.3) seconds. We found no significant difference in participants' visual attention when using avatar-based patient monitoring or conventional patient monitoring. However, we found that with each percentage point of better task performance, the number of fixations decreased by about 1.39 (coefficient -1.39; 95% CI -2.44 to -0.34; P=.02), and the dwell time diminished by 0.23 seconds (coefficient -0.23; 95% CI: -0.4 to -0.06; P=.01). CONCLUSIONS: Using eye tracking, we found no significant difference in visual attention when anesthesia providers used avatar-based monitoring or conventional patient monitoring in simulated critical anesthesia events. However, we identified visual attention in conjunction with task performance as a surrogate for situational awareness.

Team functioning across different tumour types: Insights from a Swiss cancer center using qualitative and quantitative methods.

BACKGROUND: Multidisciplinary care is pivotal in cancer centres and the interaction of all cancer disease specialists in decision making processes is state-of-the-art. AIM: To describe differences of MDTMs by tumour type. METHODS: Twelve multidisciplinary team meetings (MDTMs) with participation of different cancer disease specialists at a tertiary hospital were assessed by an exploratory sequential mixed method approach with interviews, observations and a survey to address the following five topics: organisational structure and supporting technology; leadership; teamwork; decision-making, perceived value and motivation. Thirteen persons with different tumour specialities and levels of seniority were interviewed. The 12 MDTMs were observed twice by uninvolved persons and evaluated by the participating physicians with a survey. RESULTS: There were no systematic differences between MDTMs for different tumour types with the exception of the non-disease specific type MDTM, which was the only one for which the organisational structure was not driven by an electronic tool. However, several factors could be identified that generally influenced the functioning of the MDTMs. In particular, the quality of decision-making was highly dependent on the availability of case-based information and the presence of relevant cancer disease specialists. Leadership and teamwork were rated as important and were comparable across the MDTM. Team participants' motivation and perceived value of MDTMs was high across all meetings. CONCLUSION: MDTM at a single institution did not demonstrate disease specific characteristics. An effective MDTM, irrespective of the tumour type, can be successfully structured by technical means and a chairperson coordinating the interaction of cancer disease specialists to improve the decision-making process.

How to train thoracic anesthesia for residents and consultants?

PURPOSE OF REVIEW: The training of anesthesiologists in thoracic surgery is a significant challenge. International professional societies usually provide only a case number-based or time-based training concept. There are only a few concepts of simulation trainings in thoracic anesthesia and interprofessional debriefings on a daily basis are rarely applied. In this review, we will show how professional curricula should aim for competence rather than number of cases and why simulation-based training and debriefing should be implemented. RECENT FINDINGS: Recent curricula recommend so-called entrustable professional activities (EPAs)as a way out of the dilemma between the number of cases vs. competence. With these EPAs, competence can be mapped and prerequisites defined.Training concepts from simulation in healthcare have so far not explicitly reached anesthesia for thoracic surgery. In addition to mere technical training, combined technical-behavioral training forms have proven to be an effective training targeting the entire team in the context of the actual working environment in the operating theatre. SUMMARY: Interdisciplinary and interprofessional learning can take place in simulation trainings and on a daily basis through postevent debriefings. When these debriefings are conducted in a structured way, an improvement in the performance of the entire team can be the result. The basis for these debriefings - as well as for other training approaches - is psychological safety, which should be established and maintained together with all professions involved.

Associations of form and function of speaking up in anaesthesia: a prospective observational study.

BACKGROUND: Speaking up with concerns in the interest of patient safety has been identified as important for the quality and safety of patient care. The study objectives were to identify how anaesthesia care providers speak up, how their colleagues react to it, whether there is an association among speak up form and reaction, and how this reaction is associated with further speak up. METHODS: Data were collected over 3 months at a single centre in Switzerland by observing 49 anaesthesia care providers while performing induction of general anaesthesia in 53 anaesthesia teams. Speaking up and reactions to speaking up were measured by event-based behaviour coding. RESULTS: Instances of speaking up were classified as opinion (59.6%), oblique hint (37.2%), inquiry (30.7%), and observation (16.7%). Most speak up occurred as a combination of different forms. Reactions to speak up included short approval (36.5%), elaboration (35.9%), no verbal reaction (26.3%), or rejection (1.28%). Speaking up was implemented in 89.1% of cases. Inquiry was associated with an increased likelihood of recipients discussing the respective issue (odds ratio [OR]=13.6; 95% confidence interval [CI], 5.9-31.5; P<0.0001) and with a decreased likelihood of implementing the speak up during the same induction (OR=0.27; 95% CI, 0.08-0.88; P=0.03). Reacting with elaboration to the first speak up was associated with decreased further speak up during the same induction (relative risk [RR]=0.42; 95% CI, 0.21-0.83; P=0.018). CONCLUSION: Our study provides insights into the form and function of speaking up in clinical environments and points to a perceived dilemma of speaking up via questions.

Avatar-based patient monitoring in critical anaesthesia events: a randomised high-fidelity simulation study.

BACKGROUND: Failures in situation awareness cause two-thirds of anaesthesia complications. Avatar-based patient monitoring may promote situation awareness in critical situations. METHODS: We conducted a prospective, randomised, high-fidelity simulation study powered for non-inferiority. We used video analysis to grade anaesthesia teams managing three 10 min emergency scenarios using three randomly assigned monitoring modalities: only conventional, only avatar, and split-screen showing both modalities side by side. The primary outcome was time to performance of critical tasks. Secondary outcomes were time to verbalisation of vital sign deviations and the correct cause of the emergency, perceived workload, and usability. We used mixed Cox and linear regression models adjusted for various potential confounders. The non-inferiority margin was 10%, or hazard ratio (HR) 0.9. RESULTS: We analysed 52 teams performing 154 simulations. For performance of critical tasks during a scenario, split-screen was non-inferior to conventional (HR=1.13; 95% confidence interval [CI], 0.96-1.33; not significant in test for superiority); the result for avatar was inconclusive (HR=0.98; 95% CI, 0.83-1.15). Avatar was associated with a higher probability for verbalisation of the cause of the emergency (HR=1.78; 95% CI, 1.13-2.81; P=0.012). We found no evidence for a monitor effect on perceived workload. Perceived usability was lower for avatar (coefficient=-23.0; 95% CI, -27.2 to -18.8; P<0.0001) and split-screen (-6.7; 95% CI, -10.9 to -2.4; P=0.002) compared with conventional. CONCLUSIONS: This study showed non-inferiority of split-screen compared with conventional monitoring for performance of critical tasks during anaesthesia crisis situations. The patient avatar improved verbalisation of the correct cause of the emergency. These results should be interpreted considering participants' minimal avatar but extensive conventional monitoring experience.