Performance of Sieve versus SwissPre prehospital triage algorithms in a simulated mass-casualty incident: a randomized open-label study

Dataset from a randomized open-label simulation study comparing the performance of the Sieve and SwissPre prehospital triage algorithms in identifying patients likely to die within 60 minutes if untreated. Using a web-based real-time physiological simulator, 67 participants triaged 30 simulated patients in random order, resulting in 2,010 individual patient assessments.

Organizational unit: Swiss CPR studies

Type: Dataset

DOI: 10.26037/yareta:jlwgts73nza3nhfscr3om4k7ri

License: Creative Commons Attribution 4.0 International

Keywords: Mass-casualty incidents, Prehospital triage, Triage algorithms, Simulation training, Disasters

Publication date

28/08/2025

Retention date24/08/2040

Access levelPublic

SensitivityBlue

Contract on the use of data

License

Contributors

SUPPAN, Laurent

Stuby, Loric

FEHLMANN, Christophe A

Files

1 Files (28.0 KB)

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        <datacite:title>Performance of Sieve versus SwissPre prehospital triage algorithms in a simulated mass-casualty incident: a randomized open-label study</datacite:title>
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    <datacite:publisher publisherIdentifier="https://ror.org/01swzsf04" publisherIdentifierScheme="ROR" schemeURI="https://ror.org/">Université de Genève, Yareta</datacite:publisher>
    <datacite:publicationYear>2025</datacite:publicationYear>
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        <datacite:description descriptionType="Abstract" xml:lang="en">Dataset from a randomized open-label simulation study comparing the performance of the Sieve and SwissPre prehospital triage algorithms in identifying patients likely to die within 60 minutes if untreated. Using a web-based real-time physiological simulator, 67 participants triaged 30 simulated patients in random order, resulting in 2,010 individual patient assessments.</datacite:description>
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