Objectives: Trauma resuscitations are complex critical care events that present patient safety-related risk. Simulation-based leadership training is thought to improve trauma care; however, there is no robust evidence supporting the impact of leadership training on clinical performance. The objective of this study was to assess the clinical impact of simulation-based leadership training on team leadership and patient care during actual trauma resuscitations. Design: Randomized controlled trial. Setting: Harborview Medical Center (level 1 trauma center). Subjects: Seventy-nine second- and third-year residents were randomized and 360 resuscitations were analyzed. Interventions: Subjects were randomized to a 4-hour simulation-based leadership training (intervention) or standard orientation (control) condition. Measurements and Main Results: Participant-led actual trauma resuscitations were video recorded and coded for leadership behaviors and patient care. We used random coefficient modeling to account for the nesting effect of multiple observations within residents and to test for post-training group differences in leadership behaviors while controlling for pre-training behaviors, Injury Severity Score, postgraduate training year, and days since training occurred. Sixty participants completed the study. There was a significant difference in post-training leadership behaviors between the intervention and control conditions (b1 = 4.06, t (55) = 6.11, p < 0.001; intervention M = 11.29, se = 0.66, 95% CI, 9.99–12.59 vs control M = 7.23, se = 0.46, 95% CI, 6.33–8.13, d = 0.92). Although patient care was similar between conditions (b = 2.00, t (55) = 0.99, p = 0.325; predicted means intervention M = 62.38, se = 2.01, 95% CI, 58.43–66.33 vs control M = 60.38, se = 1.37, 95% CI, 57.69–63.07, d = 0.15), a test of the mediation effect between training and patient care suggests leadership behaviors mediate an effect of training on patient care with a significant indirect effect (b = 3.44, 95% CI, 1.43–5.80). Across all trauma resuscitations leadership was significantly related to patient care (b1 = 0.61, se = 0.15, t (273) = 3.64, p < 0.001). Conclusions: Leadership training resulted in the transfer of complex skills to the clinical environment and may have an indirect effect on patient care through better team leadership.

Background A subset of high-risk procedures present significant safety threats due to their (1) infrequent occurrence, (2) execution under time constraints and (3) immediate necessity for patient survival. A Just-in-Time (JIT) intervention could provide real-time bedside guidance to improve high-risk procedural performance and address procedural deficits associated with skill decay. Objective To evaluate the impact of a novel JIT intervention on transvenous pacemaker (TVP) placement during a simulated patient event. Methods This was a prospective, randomised controlled study to determine the effect of a JIT intervention on performance of TVP placement. Subjects included boardcertified emergency medicine physicians from two hospitals. The JIT intervention consisted of a portable, bedside computer-based procedural adjunct. The primary outcome was performance during a simulated patient encounter requiring TVP placement, as assessed by trained raters using a technical skills checklist. Secondary outcomes included global performance ratings, time to TVP placement, number of critical omissions and System Usability Scale scores (intervention only). Results Groups were similar at baseline across all outcomes. Compared with the control group, the intervention group demonstrated statistically significant improvement in the technical checklist score (11.45 vs 23.44, p<0.001, Cohen's d effect size 4.64), the global rating scale (2.27 vs 4.54, p<0.001, Cohen's d effect size 3.76), and a statistically significant reduction in critical omissions (2.23 vs 0.68, p<0.001, Cohen's d effect size −1.86). The difference in time to procedural completion was not statistically significant between conditions (11.15 min vs 12.80 min, p=0.12, Cohen's d effect size 0.65). System Usability Scale scores demonstrated excellent usability. Conclusion A JIT intervention improved procedure perfromance, suggesting a role for JIT interventions in rarely performed procedures.

Team situational awareness supports adaptive teams and is critical for high reliability organizations such as healthcare systems. Simulation can provide a platform for research aimed at understanding and measuring TSA. This study provides a feasible method for simulation-based assessment of TSA in interdisciplinary teams that addresses prior measure limitations and is appropriate for use in highly dynamic, uncertain situations commonly encountered in emergency department systems. Future research is needed to understand the development of and interactions between individual-, team-, and system (distributed)-level cognitive processes.

Despite demonstrated improvement in patient outcomes with use of the Pediatric Traumatic Brain Injury (TBI) Guidelines (Guidelines), there are differential rates of adherence. Provider perspectives on barriers and facilitators to adherence have not been elucidated. This study aimed to identify and explore in depth the provider perspective on factors associated with adherence to the Guidelines using 19 focus groups with nurses and physicians who provided acute management for pediatric patients with TBI at five university-affiliated Level 1 trauma centers. Data were examined using deductive and inductive content analysis. Results indicated that three inter-related domains were associated with clinical adherence: 1) perceived guideline credibility and applicability to individual patients, 2) implementation, dissemination, and enforcement strategies, and 3) provider culture, communication styles, and attitudes towards protocols. Specifically, Guideline usefulness was determined by the perceived relevance to the individual patient given age, injury etiology, and severity and the strength of the evidence. Institutional methods to formally endorse, codify, and implement the Guidelines into the local culture were important. Providers wanted local protocols developed using interdisciplinary consensus. Finally, a culture of collaboration, including consistent, respectful communication and interdisciplinary cooperation, facilitated adherence. Provider training and experience, as well as attitudes towards other standardized care protocols, mirror the use and attitudes towards the Guidelines. Adherence was determined by the interaction of each of these guideline, institutional, and provider factors acting in concert. Incorporating provider perspectives on barriers and facilitators to adherence into hospital and team protocols is an important step toward improving adherence and ultimately patient outcomes.