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Schick CJ, Weiss M, Kolbe M, et al. Simulation With PARTS (Phase-Augmented Research and Training Scenarios): A Structure Facilitating Research and Assessment in Simulation. Simul Healthc. 2015;10(3):178-87doi: 10.1097/SIH.0000000000000085.
Schick, C. J., Weiss, M., Kolbe, M., Marty, A., Dambach, M., Knauth, A., Spahn, D. R., Grote, G., & Grande, B. (2015). Simulation With PARTS (Phase-Augmented Research and Training Scenarios): A Structure Facilitating Research and Assessment in Simulation. Simulation in healthcare : journal of the Society for Simulation in Healthcare, 10(3), 178-87. https://doi.org/10.1097/SIH.0000000000000085
Schick, Carl J, et al. "Simulation With PARTS (Phase-Augmented Research and Training Scenarios): A Structure Facilitating Research and Assessment in Simulation." Simulation in healthcare : journal of the Society for Simulation in Healthcare vol. 10,3 (2015): 178-87. doi: https://doi.org/10.1097/SIH.0000000000000085
Schick CJ, Weiss M, Kolbe M, Marty A, Dambach M, Knauth A, Spahn DR, Grote G, Grande B. Simulation With PARTS (Phase-Augmented Research and Training Scenarios): A Structure Facilitating Research and Assessment in Simulation. Simul Healthc. 2015 Jun;10(3):178-87. doi: 10.1097/SIH.0000000000000085. PMID: 25932706.
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Simul Healthc. 2015 Jun;10(3):178-87. doi: 10.1097/SIH.0000000000000085.

Simulation With PARTS (Phase-Augmented Research and Training Scenarios): A Structure Facilitating Research and Assessment in Simulation.

Simulation in healthcare : journal of the Society for Simulation in Healthcare

Carl J Schick, Mona Weiss, Michaela Kolbe, Adrian Marty, Micha Dambach, Axel Knauth, Donat R Spahn, Gudela Grote, Bastian Grande

Affiliations

  1. From the Institute of Anesthesiology (C.J.S., A.M., M.D., A.K., D.R.S., B.G.), University Hospital Zürich; and Department of Management, Technology, and Economics Organization (M.W., M.K., G.G.), Work and Technology Group, ETH Zürich, Zürich, Switzerland.

PMID: 25932706 DOI: 10.1097/SIH.0000000000000085

Abstract

INTRODUCTION: Assessment in simulation is gaining importance, as are scenario design methods increasing opportunity for assessment. We present our approach to improving measurement in complex scenarios using PARTS [Phase-Augmented Research and Training Scenarios], essentially separating cases into clearly delineated phases.

METHODS: We created 7 PARTS with real-time rating instruments and tested these in 63 cases during 4 weeks of simulation. Reliability was tested by comparing real-time rating with postsimulation video-based rating using the same instrument. Validity was tested by comparing preintervention and postintervention total results, by examining the difference in improvement when focusing on the phase-specific results addressed by the intervention, and further explored by trying to demonstrate the discrete improvement expected from proficiency in the rare occurrence of leader inclusive behavior.

RESULTS: Intraclass correlations [3,1] between real-time and postsimulation ratings were 0.951 (95% confidence interval [CI], 0.794-0.990), 1.00 (95% CI, --to--), 0.948 (95% CI, 0.783-0.989), and 0.995 (95% CI, 0.977-0.999) for 3 phase-specific scores and total scenario score, respectively. Paired t tests of prelecture-postlecture performance showed an improvement of 14.26% (bias-corrected and accelerated bootstrap [BCa] 95% CI, 4.71-23.82; P = 0.009) for total performance but of 28.57% (BCa 95% CI, 13.84-43.30; P = 0.002) for performance in the respective phase. The correlation of total scenario performance with leader inclusiveness was not significant (rs = 0.228; BCa 95% CI. -0.082 to 0.520; P = 0.119) but significant for specific phase performance (rs = 0.392; BCa 95% CI, 0.118-0.632; P = 0.006).

CONCLUSIONS: The PARTS allowed for improved reliability and validity of measurements in complex scenarios.

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