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+# Data from: Comparison of the Validity of the Checklist Assessment in the Cardiac Arrest Simulations with the App in an Academic Hospital in Taiwan: A Retrospective Observational Study
+
+## Creators
+- **Ming-Yuan Huang**  
+- **Lu-Chih Kung**  
+- **Sheng-Wen Hou**  
+- **Yi-Kung Lee**  
+- **Yung-Cheng Su**  
+
+## Description
+
+### **Background**
+Robust assessment is a crucial component in **Advanced Cardiac Life Support (ACLS)** training to determine whether participants meet learning objectives with consistency. This study aimed to evaluate **resuscitation performance using real-time logs**, comparing traditional instructor checklists to time-sensitive performance metrics recorded via video and mobile app.
+
+The study hypothesized that instructors may be unable to reliably assess **time-sensitive parameters** like:
+- **Chest Compression Fraction (CCF)**
+- **Time to Initiating Chest Compression**
+- **Time to Initiating Defibrillation**
+
+### **Methods**
+- **Data Source:** Video records and checklist-based evaluations of Megacode scenarios from ACLS certification exams across hospitals in **Taipei**.
+- **Analysis:** Time-sensitive metrics were extracted using **video reviews assisted by a mobile phone app**.
+- The study compared **checklist pass/fail results** with these quantitative parameters.
+
+### **Results**
+- **Total Scenarios Analyzed:** 185
+- **Key Finding:** High chest compression fraction was significantly associated with passing (OR = 3.65; 95% CI: 1.36–9.91; **P = 0.01**).
+- Among **112 participants** who failed one time-sensitive parameter:
+  - Only **25 were marked as fail** by checklist.
+  - This resulted in a **specificity of 22.3%** (95% CI: 15.0–31.2%).
+
+### **Conclusions**
+- Visual evaluation of CPR performance is **inaccurate** for time-sensitive parameters.
+- **Objective, app-based evaluations** should be integrated into ACLS assessments for both accurate certification and effective feedback to trainees.