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User Perceptions of Visual Clot in a High-Fidelity Simulation Study: Mixed Qualitative-Quantitative Study

User Perceptions of Visual Clot in a High-Fidelity Simulation Study: Mixed Qualitative-Quantitative Study

To define the interrater reliability of the coding template, we calculated Fleiss’ Kappa using R (version 4.0.5; R Foundation for Statistical Computing). We calculated every statement's median and IQR for the survey analysis. We used the Wilcoxon signed rank test to determine the difference between the median and neutral answers. Statistical significance was indicated as P Detailed information on the study and participants is provided in Table 2.

Greta Gasciauskaite, Clara Castellucci, Amos Malorgio, Alexandra D Budowski, Giovanna Schweiger, Michaela Kolbe, Daniel Fries, Bastian Grande, Christoph B Nöthiger, Donat R Spahn, Tadzio R Roche, David W Tscholl, Samira Akbas

JMIR Hum Factors 2024;11:e47991

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Effects of an Animated Blood Clot Technology (Visual Clot) on the Decision-Making of Users Inexperienced in Viscoelastic Testing: Multicenter Trial

Effects of an Animated Blood Clot Technology (Visual Clot) on the Decision-Making of Users Inexperienced in Viscoelastic Testing: Multicenter Trial

We examined all data using R Version 3.6.2 (R Foundation for Statistical Computing) and created graphs using Graph Pad Prism Version 9.0.0 (Graph Pad Software Inc). Statistical significance was considered at a P value Between September 16, 2020, and October 6, 2020, each of the 5 study centers included 7 participants, amounting to 35 participants in total.

Sadiq Said, Tadzio Raoul Roche, Julia Braun, Micheal Thomas Ganter, Patrick Meybohm, Johannes Herrmann, Kai Zacharowski, Florian Jürgen Raimann, Florian Piekarski, Eva Rivas, Manuel López-Baamonde, Donat R Spahn, Christoph Beat Nöthiger, David Werner Tscholl

J Med Internet Res 2021;23(5):e27124

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Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models

Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models

All analyses were performed using R version 3.6.2 (R Foundation for Statistical Computing). We considered a P value We provide the complete data used for this study in Multimedia Appendix 3. In all four evaluated studies [21,23,28,29], 128 anesthesia providers participated and rated a total of 1160 NASA-TLX questionnaires.

Sadiq Said, Malgorzata Gozdzik, Tadzio Raoul Roche, Julia Braun, Julian Rössler, Alexander Kaserer, Donat R Spahn, Christoph B Nöthiger, David Werner Tscholl

J Med Internet Res 2020;22(9):e19472

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Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study

Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study

We used R version 4.0.5 (R Foundation for Statistical Computing,) to analyze all data and used Prism 9 (Graph Pad Software Inc) to create all figures. We considered a P-value of less than .05 to determine statistical significance. In May 2020, we recruited 52 teams performing 156 simulations. We excluded 12 teams as the eye-tracking setup was revised because the laminated QR codes used reflected and were not detected by the eye-tracking software.

Arsène Ljubenovic, Sadiq Said, Julia Braun, Bastian Grande, Michaela Kolbe, Donat R Spahn, Christoph B Nöthiger, David W Tscholl, Tadzio R Roche

JMIR Serious Games 2022;10(1):e35642

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User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

To quantify the interrater reliability, when assigning the individual statements to a particular topic of the final coding tree, we calculated the Cohen kappa using R, version 4.0.5 (R Foundation for Statistical Computing) [19]. To estimate percent agreement, we used Microsoft Excel. We acquired field notes between May 4, 2020, and May 28, 2020. All participants were employees of the University Hospital of Zurich.

Samira Akbas, Sadiq Said, Tadzio Raoul Roche, Christoph B Nöthiger, Donat R Spahn, David W Tscholl, Lisa Bergauer

JMIR Hum Factors 2022;9(1):e34677

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