Journal of clinical anesthesia
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Virtual reality (VR) is a novel tool with demonstrated applications within healthcare; however its integration within clinical practice has been slow. Adoption patterns can be evaluated using a technology acceptance model (TAM). The primary study aim was to use VR TAM to assess factors that influence anesthesiologists' acceptance of VR for preoperative anxiolysis. The secondary aim assessed the model's reliability. ⋯ All confirmatory factor analysis testing for construct validity had good fit. Perceptions of usefulness and enjoyment predicted an anesthesiologist's attitude toward using and intention to purchase, while perceived ease of use predicted perceived usefulness and enjoyment, attitude toward purchasing and using, and intention to use. Past use and price willing to pay did not influence perceptions of usefulness. Lower age predicted greater perceived ease of use. All scales in the model demonstrated acceptable reliability. With good validity and reliability, the VR-TAM model demonstrated factors predictive of anesthesiologist's intentions to integrate VR into clinical settings.
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Although a prolonged heart rate-corrected QT interval (QTcI) is associated with an increased risk of mortality in the general population, its prognostic value in surgical patients remains unclear. We aimed to examine whether preoperative QTcI prolongation predicts short-term postoperative outcomes in elderly patients undergoing noncardiac surgery. ⋯ Preoperative QTcI screening effectively risk-stratifies elderly surgical patients, with a QTcI≥500 ms being strongly predictive of short-term postoperative mortality and other complications. Incorporating QTcI assessment into the preoperative evaluation may guide perioperative monitoring and management.