Impact on Triage Performance in Simulated Multiple-casualty Situations of TST (Ten Second Triage) Versus Sieve
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 201
- 试验地点
- 1
- 主要终点
- Triage accuracy (triage score)
研究概览
简要总结
This study will compare two emergency triage algorithm - Ten Second Triage (TST) versus Sieve - to see which one works better during simulated mass-casualty incidents. Triage is the process of quickly deciding which patients need immediate care when there are many injured people. Making fast and accurate decisions is essential in these situations.
Ambulance professionals and students in French-speaking Switzerland will be invited to take part. Participants will be randomly assigned to use either the TST method or the Sieve method. After a short introduction to the assigned method, each participant will complete two computer-based simulation scenarios involving 17 injured patients each (one scenario with penetrating injuries and one with blunt injuries). The simulated patients' conditions will change over time, similar to real-life emergencies using a physiological validated simulator (HUMAn).
The main goal is to measure how accurately participants identify patients who need immediate treatment. For each correct triage decision, participants receive one point. A total score will be calculated across both scenarios. If a sufficient sample size could be reached, a mixed effect logistic regression model will be generated to answer to research question.
The study will also measure how long participants take to make triage decisions, how often patients are over-triaged or under-triaged, and how easy participants find the method to use.
The results will help determine which triage method may be more effective for use by ambulance personnel during major incidents.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Triple (Participant, Investigator, Outcomes Assessor)
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Prehospital care professionals (e.g., ambulance personnel) or paramedic students
- •Practicing or training in French-speaking Switzerland
- •Likely to be involved in the management of major incidents or mass-casualty events
- •Provided informed consent to participate
排除标准
- •Participants who answered "No" to the statement confirming that their questionnaire responses reflect their usual personal practice
- •Participants who did not view the instructional video of the assigned triage algorithm (time spent on the video page is recorded), except participants randomized to the Sieve arm who routinely use the Sieve algorithm in their clinical practice
研究组 & 干预措施
Sieve
The control group will be provided with the Sieve triage algorithm.
干预措施: Sieve triage algorithm (Other)
TST
The experimental group will be provided with the Ten Seconde Triage algorithm
干预措施: Ten Second Triage algorithm (Other)
结局指标
主要结局
Triage accuracy (triage score)
时间窗: Through study completion, an average of 1 hour
Triage accuracy is defined as the proportion of correct triage decisions made by each participant across two simulated mass-casualty scenarios (34 patients in total). For each simulated patient, participants receive: 1 point for a correct triage decision (0 points for an incorrect decision). A triage decision is considered correct if the assigned priority category matches the simulated patient's expected clinical evolution based on the HUMAn dynamic simulation model (i.e., correct identification of patients requiring immediate treatment versus those who do not, including appropriate classification of deceased patients). The primary endpoint is the total triage score per participant (range 0-34), calculated by summing correct decisions across both scenarios.
次要结局
- Triage duration(Through study completion, an average of 1 hour)
- Overtriage rate(Through study completion, an average of 1 hour)
- Undertriage rate(Through study completion, an average of 1 hour)
- User satisfaction and perceived ease of use(Through study completion, an average of 1 hour)
研究者
Stuby Loric
Principal Investigator
Geneve TEAM Ambulances