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NCT07436052
Impact of Ten Second Triage vs. Sieve on Triage Performance in Simulated Mass-Casualty Incidents
NA trial testing Ten Second Triage algorithm in Mass Casualty Incidents in 200 participants. Currently enrolling.
13 March 2026
Quick facts
| Lead sponsor | Stuby Loric |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | triple |
| Primary purpose | other |
| Enrollment | 200 |
| Start date | 13 February 2026 |
| Primary completion | 13 March 2026 |
| Estimated completion | 13 March 2026 |
| Sites | 1 location across Switzerland |
Drugs / interventions tested
- Ten Second Triage algorithm
- Sieve triage algorithm
Conditions studied
- Mass Casualty Incidents — all drugs for Mass Casualty Incidents →
Sponsor
Stuby Loric
Who can join
18 and older, any sex, with Mass Casualty Incidents. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
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.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
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Related trials
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07436052 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Stuby Loric
- Last refreshed: 2 March 2026
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