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In Obstetrics and Gynecologic operating room emergencies, the surgeon cannot both operate and lead a suddenly expanded and redirected team response. However, one of the most often used approaches to interprofessional continuing education designed to improve teams' ability to respond to unanticipated critical events still emphasizes surgeon leadership. We developed Explicit Anesthesia and Nurse Distributed (EXPAND) Leadership to imagine a workflow that might better distribute emergency leadership task responsibilities and practices. The purpose of this exploratory study was to investigate teams' responses to distributing leadership during an interprofessional continuing education simulated obstetrical emergency. We used interpretive descriptive design in a secondary analysis of teams' post-simulation reflective debriefings. One-hundred sixty providers participated, including OB-Gyn surgeons, anesthesiologists, CRNAs, scrub technicians, and nurses. Using reflective thematic analysis, we identified three core themes: (1) The surgeon is focused on the surgical field, (2) Explicit leadership initiates a nurse transition from follower to leader in a hierarchical environment, and (3) Explicit distributed leadership enhances teamwork and taskwork. Continuing education which uses distributed leadership to improve teams' ability to respond to an obstetric emergency is perceived to enhance team members' response to the critical event. The potential for nurses' career growth and professional transformation was an unexpected finding associated with this continuing education which used distributed leadership. Our findings suggest that healthcare educators should consider ways in which distributed leadership may improve teams' response to critical events in the operating room.

Visual diagnosis of radiographs, histology and electrocardiograms lends itself to deliberate practice, facilitated by large online banks of cases. Which cases to supply to which learners in which order is still to be worked out, with there being considerable potential for adapting the learning. Advances in statistical modeling, based on an accumulating learning curve, offer methods for more effectively pairing learners with cases of known calibrations. Using demonstration radiograph and electrocardiogram datasets, the advantages of moving from traditional regression to multilevel methods for modeling growth in ability or performance are demonstrated, with a final step of integrating case-level item-response information based on diagnostic grouping. This produces more precise individual-level estimates that can eventually support learner adaptive case selection. The progressive increase in model sophistication is not simply statistical but rather brings the models into alignment with core learning principles including the importance of taking into account individual differences in baseline skill and learning rate as well as the differential interaction with cases of varying diagnosis and difficulty. The developed approach can thus give researchers and educators a better basis on which to anticipate learners' pathways and individually adapt their future learning.

Learning curves can support a competency-based approach to assessment for learning. When interpreting repeated assessment data displayed as learning curves, a key assessment question is: "How well is each learner learning?" We outline the validity argument and investigation relevant to this question, for a computer-based repeated assessment of competence in electrocardiogram (ECG) interpretation. We developed an on-line ECG learning program based on 292 anonymized ECGs collected from an electronic patient database. After diagnosing each ECG, participants received feedback including the computer interpretation, cardiologist's annotation, and correct diagnosis. In 2015, participants from a single institution, across a range of ECG skill levels, diagnosed at least 60 ECGs. We planned, collected and evaluated validity evidence under each inference of Kane's validity framework. For Scoring, three cardiologists' kappa for agreement on correct diagnosis was 0.92. There was a range of ECG difficulty across and within each diagnostic category. For Generalization, appropriate sampling was reflected in the inclusion of a typical clinical base rate of 39% normal ECGs. Applying generalizability theory presented unique challenges. Under the Extrapolation inference, group learning curves demonstrated expert--novice differences, performance increased with practice and the incremental phase of the learning curve reflected ongoing, effortful learning. A minority of learners had atypical learning curves. We did not collect Implications evidence. Our results support a preliminary validity argument for a learning curve assessment approach for repeated ECG interpretation with deliberate and mixed practice. This approach holds promise for providing educators and researchers, in collaboration with their learners, with deeper insights into how well each learner is learning.

There are conflicting findings in team diversity research on whether it is better for an individual on a team to be similar to or different from the rest of the team. This lab study with undergraduates completing a critical thinking and decision-making task uses optimal distinctiveness theory to examine the idea that finding a balance between these two states for team member personality will result in positive perceptions of team process. Our results supported this such that participants had the most positive perceptions of team process when optimally distinct from the rest of the team in terms of personality. [ABSTRACT FROM AUTHOR]

To explore how medical students completing a pediatric clerkship viewed the benefits and barriers of debrief interviews with hospitalized patients and families. In this study, focus groups were conducted with pediatric clerkship students after completion of a debrief interview. The constant comparative method was used with Mezirow's transformative learning theory as a lens to explore perceptions of the benefits and challenges of performing the interview. Focus groups revealed five benefits and two challenges. The benefits were that the debrief interviews helped students (1) humanize patients and appreciate social and environmental influences on patient health, (2) assess caregiver/patient understanding about care to correct misunderstandings, (3) actively involve caregivers/patients in treatment plan development, (4) engage patients in active expression of questions/concerns, and (5) recognize the value of their own role on the healthcare team. The challenges were that students felt (1) a lack of knowledge to answer caregivers'/patients' questions about diagnoses and (2) discomfort responding to caregiver/patient frustration, anxiety, or sadness. Student feedback on feasibility and implementation led to guidelines for selecting patients and conducting small group discussions after the debrief interviews. Debrief interviews offer a unique approach for learners to explore patient perspectives during hospitalization through direct patient engagement and dialogue, contributing to professional development, empathy, and potentially more positive patient care experiences. [ABSTRACT FROM AUTHOR]