INTRODUCTION: Robustly tested instruments for quantifying clinical performance during pediatric resuscitation are lacking. Examining Pediatric Resuscitation Education through Simulation and Scripting Collaborative was established to conduct multicenter trials of simulation education in pediatric resuscitation, evaluating performance with multiple instruments, one of which is the Clinical Performance Tool (CPT). We hypothesize that the CPT will measure clinical performance during simulated pediatric resuscitation in a reliable and valid manner. METHODS: Using a pediatric resuscitation scenario as a basis, a scoring system was designed based on Pediatric Advanced Life Support algorithms comprising 21 tasks. Each task was scored as follows: task not performed (0 points); task performed partially, incorrectly, or late (1 point); and task performed completely, correctly, and within the recommended time frame (2 points). Study teams at 14 children's hospitals went through the scenario twice (PRE and POST) with an interposed 20-minute debriefing. Both scenarios for each of eight study teams were scored by multiple raters. A generalizability study, based on the PRE scores, was conducted to investigate the sources of measurement error in the CPT total scores. Inter-rater reliability was estimated based on the variance components. Validity was assessed by repeated measures analysis of variance comparing PRE and POST scores. RESULTS: Sixteen resuscitation scenarios were reviewed and scored by seven raters. Inter-rater reliability for the overall CPT score was 0.63. POST scores were found to be significantly improved compared with PRE scores when controlled for within-subject covariance (F1,15 = 4.64, P < 0.05). The variance component ascribable to rater was 2.4%. CONCLUSIONS: Reliable and valid measures of performance in simulated pediatric resuscitation can be obtained from the CPT. Future studies should examine the applicability of trichotomous scoring instruments to other clinical scenarios, as well as performance during actual resuscitations.
INTRODUCTION: Robustly tested instruments for quantifying clinical performance during pediatric resuscitation are lacking. Examining Pediatric Resuscitation Education through Simulation and Scripting Collaborative was established to conduct multicenter trials of simulation education in pediatric resuscitation, evaluating performance with multiple instruments, one of which is the Clinical Performance Tool (CPT). We hypothesize that the CPT will measure clinical performance during simulated pediatric resuscitation in a reliable and valid manner. METHODS: Using a pediatric resuscitation scenario as a basis, a scoring system was designed based on Pediatric Advanced Life Support algorithms comprising 21 tasks. Each task was scored as follows: task not performed (0 points); task performed partially, incorrectly, or late (1 point); and task performed completely, correctly, and within the recommended time frame (2 points). Study teams at 14 children's hospitals went through the scenario twice (PRE and POST) with an interposed 20-minute debriefing. Both scenarios for each of eight study teams were scored by multiple raters. A generalizability study, based on the PRE scores, was conducted to investigate the sources of measurement error in the CPT total scores. Inter-rater reliability was estimated based on the variance components. Validity was assessed by repeated measures analysis of variance comparing PRE and POST scores. RESULTS: Sixteen resuscitation scenarios were reviewed and scored by seven raters. Inter-rater reliability for the overall CPT score was 0.63. POST scores were found to be significantly improved compared with PRE scores when controlled for within-subject covariance (F1,15 = 4.64, P < 0.05). The variance component ascribable to rater was 2.4%. CONCLUSIONS: Reliable and valid measures of performance in simulated pediatric resuscitation can be obtained from the CPT. Future studies should examine the applicability of trichotomous scoring instruments to other clinical scenarios, as well as performance during actual resuscitations.
Authors: Travis Whitfill; Marc Auerbach; Maria Carmen G Diaz; Barbara Walsh; Daniel J Scherzer; Isabel T Gross; Mark X Cicero Journal: BMJ Simul Technol Enhanc Learn Date: 2020-09-03
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Authors: Adam Cheng; David Kessler; Ralph Mackinnon; Todd P Chang; Vinay M Nadkarni; Elizabeth A Hunt; Jordan Duval-Arnould; Yiqun Lin; Martin Pusic; Marc Auerbach Journal: Adv Simul (Lond) Date: 2017-02-28
Authors: Francesco Corazza; Deborah Snijders; Marta Arpone; Valentina Stritoni; Francesco Martinolli; Marco Daverio; Maria Giulia Losi; Luca Soldi; Francesco Tesauri; Liviana Da Dalt; Silvia Bressan Journal: JMIR Mhealth Uhealth Date: 2020-10-01 Impact factor: 4.773