Validation of a Novel Mobile Application for Assessing Pediatric Tracheostomy Emergency Simulations.
OTO Open
; 8(3): e145, 2024.
Article
em En
| MEDLINE
| ID: mdl-38974176
ABSTRACT
Objective:
Pediatric tracheostomy is associated with high morbidity and mortality, yet clinician knowledge and quality of tracheostomy care may vary widely. In situ simulation is effective at detecting and mitigating related latent safety threats, but evaluation via retrospective video review has disadvantages (eg, delayed analysis, and potential data loss). We evaluated whether a novel mobile application is accurate and reliable for assessment of in situ tracheostomy emergency simulations.Methods:
A novel mobile application was developed for assessment of tracheostomy emergency in situ simulation team performance. After 1.25 hours of training, 6 raters scored 10 tracheostomy emergency simulation videos for the occurrence and timing of 12 critical steps. To assess accuracy, rater scores were compared to a reference standard to determine agreement for occurrence or absence of critical steps and a timestamp within ±5 seconds. Interrater reliability was determined through Cohen's and Fleiss' kappa and intraclass correlation coefficient.Results:
Raters had 86.0% agreement with the reference standard when considering step occurrence and timing, and 92.8% agreement when considering only occurrence. The average timestamp difference from the reference standard was 1.3 ± 18.5 seconds. Overall interrater reliability was almost perfect for both step occurrence (Fleiss' kappa of 0.81) and timing of step (intraclass correlation coefficient of 0.99).Discussion:
Using our novel mobile application, raters with minimal training accurately and reliably assessed videos of tracheostomy emergency simulations and identified areas for future refinement. Implications for Practice With refinements, this innovative mobile application is an effective tool for real-time data capture of time-critical steps in in situ tracheostomy emergency simulations.
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MEDLINE
Idioma:
En
Revista:
OTO Open
Ano de publicação:
2024
Tipo de documento:
Article