Assessing Long-Term Retention of Basic Life Support (BLS) Knowledge: A Survey of Error Identification in Simulated Cardiac Arrest Scenarios
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 740
- 试验地点
- 1
- 主要终点
- 1. To determine percentage of error detection among AHA certified BLS providers in simulated cardiac arrest scenarios.
研究概览
简要总结
This prospective cross-sectional online-questionnaire based study will assess long-term retention of Basic Life Support (BLS) knowledge among American Heart Association (AHA) certified providers. Participants who completed BLS training more than 12 months ago will complete an online survey (using Google Forms) containing short videos of simulated adult and paediatric cardiac arrest scenarios with intentional errors. They will be asked to identify errors, and each correct identification will be scored. The primary outcomes are the percentage of errors detected and differences between adult and paediatric scenarios. Secondary outcomes include differences based on participant demographics, clinical background, and refresher training. The study is being conducted because evidence shows BLS skills deteriorate significantly over time, especially pediatric BLS skills, which are often underemphasized in training. Understanding retention gaps will guide improvements in training curricula and refresher programs, enhancing preparedness for real-life cardiac arrests.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 80.00 Year(s)(—)
- 性别
- All
入选标准
- •AHA certified BLS providers
- •Certification more than 12 months ago.
排除标准
- •Non-AHA certified BLS providers
- •AHA certified instructors.
结局指标
主要结局
1. To determine percentage of error detection among AHA certified BLS providers in simulated cardiac arrest scenarios.
时间窗: At baseline. (At the time of participants answering the online questionnaire)
2. To compare difference in error detection between adult and paediatric simulated cardiac arrest scenarios
时间窗: At baseline. (At the time of participants answering the online questionnaire)
次要结局
- To assess the differences in error detection based on participant characteristics(At baseline. (At the time of participants answering the online questionnaire))
研究者
Meshach R
Kasturba Medical College, Manipal
