An Immersive Simulation to Build Empathy for Geriatric Patients with Co-Occurring Physical and Mental Illness.

OBJECTIVE: The objective of the study was to explore the effectiveness of an immersive simulation experience using an aging simulation suit for fostering empathy towards geriatric patients with advanced mental illness. METHOD: Psychiatry residents were recruited during their clinical rotations at a Canadian mental health hospital. The participants took on the first-person perspective of a geriatric patient with mental illness initially through written reflection, and then physically inhabited this role by wearing an aging simulation suit to perform the task of meeting with a pharmacist to review current medications and prepare a dosette. Concurrently, an audio file was played through headphones to simulate auditory hallucinations. A pre- and post-Jefferson Scale of Empathy (JSE), reflective writing exercise, debrief transcription, and evaluation questionnaire were used to evaluate the intervention. Interviews conducted 3 month post-intervention explored its impact on their clinical practice. RESULTS: Fifteen psychiatry residents completed the study. There was a significant increase in JSE scores pre (M = 115.5, SD = 13.2) to post (M = 119.2, SD = 12.7) intervention, t(14) = 2.65, p = .02. The qualitative findings of the study demonstrated participants' improved understanding and awareness of the patient perspective and the ability to communicate this understanding and show intentions to help through practice change. CONCLUSION: An aging suit simulation with debriefing may be an effective educational intervention to incorporate into the medical curriculum to foster empathy for this stigmatized population.

Participant Perspectives on the Contributions of Physical, Psychological, and Sociological Fidelity to Learning in Interprofessional Mental Health Simulation.

INTRODUCTION: Simulation has been identified as a key training modality to enhance interprofessional care for patients with co-occurring physical and mental illnesses. Fidelity is an important instructional design consideration for interprofessional simulation; however, research examining the contribution of physical, psychological, and sociological fidelity in achieving learning outcomes remains limited. This qualitative study explored the relationship between fidelity and learning from the perspective of interprofessional simulation course participants. METHODS: Semistructured interviews were conducted with participants from the Interprofessional Simulations of Patient Experiences Across the Care Continuum - Child and Youth course. Consistent with grounded theory, data collection and analysis proceeded in an iterative fashion and emergent themes were identified by the research team through a process of constant comparative analysis. RESULTS: Data saturation was reached after 10 interviews. High psychological fidelity allowed participants to engage in the simulation scenarios in ways that were congruent with their professional roles, which supported individual practice change. Tasks that were too closely aligned with their clinical experiences sometimes, however, limited new learning opportunities. Selective manipulations of sociological fidelity seemed to support learning outcomes related to understanding and appreciating the roles and responsibilities of other health professionals. Physical fidelity was less essential. CONCLUSIONS: Psychological and sociological fidelity were perceived by participants as being most critical to learning in interprofessional mental health simulation. Improving our understanding of how simulation works in this context is important to effectively direct the efforts of learners, instructors, and designers toward maximizing the benefit of simulation-based learning in a cost-efficient manner.

Cognitive load predicts point-of-care ultrasound simulator performance.

INTRODUCTION: The ability to maintain good performance with low cognitive load is an important marker of expertise. Incorporating cognitive load measurements in the context of simulation training may help to inform judgements of competence. This exploratory study investigated relationships between demographic markers of expertise, cognitive load measures, and simulator performance in the context of point-of-care ultrasonography. METHODS: Twenty-nine medical trainees and clinicians at the University of Toronto with a range of clinical ultrasound experience were recruited. Participants answered a demographic questionnaire then used an ultrasound simulator to perform targeted scanning tasks based on clinical vignettes. Participants were scored on their ability to both acquire and interpret ultrasound images. Cognitive load measures included participant self-report, eye-based physiological indices, and behavioural measures. Data were analyzed using a multilevel linear modelling approach, wherein observations were clustered by participants. RESULTS: Experienced participants outperformed novice participants on ultrasound image acquisition. Ultrasound image interpretation was comparable between the two groups. Ultrasound image acquisition performance was predicted by level of training, prior ultrasound training, and cognitive load. There was significant convergence between cognitive load measurement techniques. A marginal model of ultrasound image acquisition performance including prior ultrasound training and cognitive load as fixed effects provided the best overall fit for the observed data. DISCUSSION: In this proof-of-principle study, the combination of demographic and cognitive load measures provided more sensitive metrics to predict ultrasound simulator performance. Performance assessments which include cognitive load can help differentiate between levels of expertise in simulation environments, and may serve as better predictors of skill transfer to clinical practice.

Motivation and emotion predict medical students' attention to computer-based feedback.

Students cannot learn from feedback unless they pay attention to it. This study investigated relationships between the personal factors of achievement goal orientations, achievement emotions, and attention to feedback in BioWorld, a computer environment for learning clinical reasoning. Novice medical students (N = 28) completed questionnaires to measure their achievement goal orientations and then thought aloud while solving three endocrinology patient cases and reviewing corresponding expert solutions. Questionnaires administered after each case measured participants' experiences of five feedback emotions: pride, relief, joy, shame, and anger. Attention to individual text segments of the expert solutions was modelled using logistic regression and the method of generalized estimating equations. Participants did not attend to all of the feedback that was available to them. Performance-avoidance goals and shame positively predicted attention to feedback, and performance-approach goals and relief negatively predicted attention to feedback. Aspects of how the feedback was displayed also influenced participants' attention. Findings are discussed in terms of their implications for educational theory as well as the design and use of computer learning environments in medical education.

Pain Catastrophizing Correlates with Early Mild Traumatic Brain Injury Outcome.

Background. Identifying which patients are most likely to be at risk of chronic pain and other postconcussion symptoms following mild traumatic brain injury (MTBI) is a difficult clinical challenge. Objectives. To examine the relationship between pain catastrophizing, defined as the exaggerated negative appraisal of a pain experience, and early MTBI outcome. Methods. This cross-sectional design included 58 patients diagnosed with a MTBI. In addition to medical chart review, postconcussion symptoms were assessed by self-report at 1 month (Time 1) and 8 weeks (Time 2) after MTBI. Pain severity, psychological distress, level of functionality, and pain catastrophizing were measured by self-report at Time 2. Results. The pain catastrophizing subscales of rumination, magnification, and helplessness were significantly correlated with pain severity (r = .31 to .44), number of postconcussion symptoms reported (r = .35 to .45), psychological distress (r = .57 to .67), and level of functionality (r = -.43 to -.29). Pain catastrophizing scores were significantly higher for patients deemed to be at high risk of postconcussion syndrome (6 or more symptoms reported at both Time 1 and Time 2). Conclusions. Higher levels of pain catastrophizing were related to adverse early MTBI outcomes. The early detection of pain catastrophizing may facilitate goal-oriented interventions to prevent or minimize the development of chronic pain and other postconcussion symptoms.

Practising what we preach: using cognitive load theory for workshop design and evaluation.

Theory-based instructional design is a top priority in medical education. The goal of this Show and Tell article is to present our theory-driven approach to the design of instruction for clinical educators. We adopted cognitive load theory as a framework to design and evaluate a series of professional development workshops that were delivered at local, national and international academic conferences in 2014. We used two rating scales to measure participants' cognitive load. Participants also provided narrative comments as to how the workshops could be improved. Cognitive load ratings from 59 participants suggested that the workshop design optimized learning by managing complexity for different levels of learners (intrinsic load), stimulating cognitive processing for long-term memory storage (germane load), and minimizing irrelevant distracters (extraneous load). Narrative comments could also be classified as representing intrinsic, extraneous, or germane load, which provided specific directions for ongoing quality improvement. These results demonstrate that a cognitive load theory approach to workshop design and evaluation is feasible and useful in the context of medical education.

Validity of Cognitive Load Measures in Simulation-Based Training: A Systematic Review.

BACKGROUND: Cognitive load theory (CLT) provides a rich framework to inform instructional design. Despite the applicability of CLT to simulation-based medical training, findings from multimedia learning have not been consistently replicated in this context. This lack of transferability may be related to issues in measuring cognitive load (CL) during simulation. The authors conducted a review of CLT studies across simulation training contexts to assess the validity evidence for different CL measures. METHOD: PRISMA standards were followed. For 48 studies selected from a search of MEDLINE, EMBASE, PsycInfo, CINAHL, and ERIC databases, information was extracted about study aims, methods, validity evidence of measures, and findings. Studies were categorized on the basis of findings and prevalence of validity evidence collected, and statistical comparisons between measurement types and research domains were pursued. RESULTS: CL during simulation training has been measured in diverse populations including medical trainees, pilots, and university students. Most studies (71%; 34) used self-report measures; others included secondary task performance, physiological indices, and observer ratings. Correlations between CL and learning varied from positive to negative. Overall validity evidence for CL measures was low (mean score 1.55/5). Studies reporting greater validity evidence were more likely to report that high CL impaired learning. CONCLUSIONS: The authors found evidence that inconsistent correlations between CL and learning may be related to issues of validity in CL measures. Further research would benefit from rigorous documentation of validity and from triangulating measures of CL. This can better inform CLT instructional design for simulation-based medical training.

Limitations of subjective cognitive load measures in simulation-based procedural training.

CONTEXT: The effective implementation of cognitive load theory (CLT) to optimise the instructional design of simulation-based training requires sensitive and reliable measures of cognitive load. This mixed-methods study assessed relationships between commonly used measures of total cognitive load and the extent to which these measures reflected participants' experiences of cognitive load in simulation-based procedural skills training. METHODS: Two groups of medical residents (n = 38) completed three questionnaires after participating in simulation-based procedural skills training sessions: the Paas Cognitive Load Scale; the NASA Task Load Index (TLX), and a cognitive load component (CLC) questionnaire we developed to assess total cognitive load as the sum of intrinsic load (how complex the task is), extraneous load (how the task is presented) and germane load (how the learner processes the task for learning). We calculated Pearson's correlation coefficients to assess agreement among these instruments. Group interviews explored residents' perceptions about how the simulation sessions contributed to their total cognitive load. Interviews were audio-recorded, transcribed and subjected to qualitative content analysis. RESULTS: Total cognitive load scores differed significantly according to the instrument used to assess them. In particular, there was poor agreement between the Paas Scale and the TLX. Quantitative and qualitative findings supported intrinsic cognitive load as synonymous with mental effort (Paas Scale), mental demand (TLX) and task difficulty and complexity (CLC questionnaire). Additional qualitative themes relating to extraneous and germane cognitive loads were not reflected in any of the questionnaires. CONCLUSIONS: The Paas Scale, TLX and CLC questionnaire appear to be interchangeable as measures of intrinsic cognitive load, but not of total cognitive load. A more complete understanding of the sources of extraneous and germane cognitive loads in simulation-based training contexts is necessary to determine how best to measure and assess their effects on learning and performance outcomes.