scholarly journals Fire in the Operating Room: Use of Mixed Reality Simulation with Nurse Anesthesia Students

Informatics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 40
Author(s):  
Linda Wunder ◽  
Nicole A. Gonzaga Gomez ◽  
Juan E. Gonzalez ◽  
Greta Mitzova-Vladinov ◽  
Max Cacchione ◽  
...  
Keyword(s):  
Operating Room ◽  
Registered Nurse ◽  
Mixed Reality ◽  
Low Frequency ◽  
Technical Skills ◽  
Technical Skill ◽  
Nurse Anesthetists ◽  
High Stakes ◽  
Skill Performance ◽  
Registered Nurse Anesthetists

Background: The occurrence of a fire when implementing anesthesia is a high-risk, low-frequency event. The operating room is a high-stakes environment that has no room for error. Mixed reality simulation may be a solution to better prepare healthcare professionals. The purpose of this quantitative, descriptive study was to evaluate the technical and non-technical skills of student registered nurse anesthetists (SRNAs) who participated in a mixed reality simulation of an operating room fire. Methods: Magic Leap OneTM augmented reality headsets were used by 32 student registered nurse anesthetists to simulate an emergent fire during a simulated tracheostomy procedure. Both technical and non-technical skills were evaluated by faculty members utilizing a checklist. Results: The SRNAs’ overall mean technical skill performance was 18.16 ± 1.44 out of a maximum score of 20, and the mean non-technical skill performance was 91.25% out of 100%. Conclusions: This study demonstrated the utility and limitations in applying novel technology in simulation. Participants demonstrated a strong performance of technical and non-technical skills in the management of a simulated operating room fire. Recommendations for future applications include the use of multiple sensory inputs into the scenario design and including all core team members in the immersive mixed reality environment.

scholarly journals Implementing an educational program to increase preoperative screening for obstructive sleep apnea using the stop-bang questionnaire

2016 ◽  
Vol 5 (1) ◽  
pp. 56 ◽  
Author(s):  
Adam Davies ◽  
Monaghan W. Patrick ◽  
Hogan Gerard
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Technology Acceptance ◽  
Registered Nurse ◽  
Screening Tool ◽  
Perioperative Complications ◽  
Nurse Anesthetists ◽  
Perceived Usefulness ◽  
Obstructive Sleep ◽  
Registered Nurse Anesthetists

<p><strong>Background:</strong> Obstructive sleep apnea (OSA) is a potentially fatal disease process that has been linked to higher rates of morbidity and mortality as well as increased perioperative complications. OSA is characterized by repetitive pauses in breathing during sleep. Greater than 92% of women and 82% of men who are plagued by moderate to severe sleep apnea are undiagnosed and may go unrecognized in the perioperative setting. The gap between a high prevalence of undiagnosed OSA in the adult population and the low level of clinical recognition has been well-documented. The term “STOP-BANG” is an acronym for eight independent elements predictive of OSA—three are OSA-related symptoms, three are physiological measurements, and two are patient characteristics.</p><p><strong>Methods:</strong> This project used a quasi-experimental design using a 16-question self-developed survey based on the technology acceptance model (TAM). Participants were asked to read an educational pamphlet on OSA and then complete the survey.</p><p><strong>Results:</strong> This study found strong evidence to suggest that among Certified Registered Nurse Anesthetists (CRNAs) and Student Registered Nurse Anesthetists (SRNAs), those with higher scores on Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Attitude toward Use (AT), tend to have a higher Behavioral Intention to Use (BIU) the STOP-BANG screening tool.</p><p><strong>Conclusions:</strong> The results suggest that programs targeted at raising CRNAs’ and SRNAs’ PEOU, PU, and AT regarding the STOP-BANG questionnaire will culminate in increased use of the STOP-BANG screening tool. The use of this screening tool will detect patients previously unidentified as having OSA, and ultimately prevent perioperative complications associated with this disease.</p>

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