The value of psychometric analysis of the advanced trauma life support cognitive test: Outcome of an ACS-Accredited educational institute multisite study.

BACKGROUND: The Advanced Trauma Life Support® (ATLS®) course provides a standard approach to trauma. Participants must pass the ATLS® post-test. We deployed the test online to allow ongoing psychometric item analysis and potential objective refinement. METHODS: A two-phase study was undertaken with the ACS COT permission. In the first phase, ATLS® post-test #2 was computerized and deployed using Qualtrics©. Data were collected from fourteen courses conducted between 2014 and 2015 (n = 306) at one ACS AEI site. In the second phase, the same post-test was administered to 238 trainees in 10 courses via secured computers at four ACS AEI sites in 2016. RESULTS: Phase 1 item analyses showed two items with very low percentages correct, and one of these also showed a low discrimination index. Phase 2 item analyses suggested four items as candidates for review and possible revision. We also found differences by learner background and by instructional site. CONCLUSIONS: This study demonstrates computerized delivery of the ATLS post-test is feasible, promotes psychometric analysis, and could improve the quality of the test. Further collaboration between the ACS COT and ACS AEI would be beneficial.

Stress Outcomes of Four Types of Perceived Interruptions.

Objective We sought to define and measure four types of perceived interruptions and to examine their relationships with stress outcomes. Background Interruptions have been defined and measured in a variety of inconsistent ways. No study has simultaneously examined the subjective experience of all types of interruptions. Method First, we provide a synthesized definition and model of interruptions that aligns interruptions along two qualities: origin and degree of multitasking. Second, we create and validate a self-report measure of these four types of perceived interruptions within two samples (working undergraduate students and working engineers). Last, we correlate this measure with self-reported psychological and physical stress outcomes. Results Our results support the four-factor model of interruptions. Results further support the link between each of the four types of interruptions (intrusions, breaks, distractions, and a specific type of ruminations, discrepancies) and stress outcomes. Specifically, results suggest that distractions explain a unique portion of variance in stress outcomes above and beyond the shared variance explained by intrusions, breaks, and discrepancies. Conclusion The synthesized four-factor model of interruptions is an adequate representation of the overall construct of interruptions. Further, perceived interruptions can be measured and are significantly related to stress outcomes. Application Measuring interruptions by observation can be intrusive and resource intensive. Additionally, some types of interruptions may be internal and therefore unobservable. Our survey measure offers a practical alternative method for practitioners and researchers interested in the outcomes of interruptions, especially stress outcomes.