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Study 03 · Research Square · Preprint

Preprint · not peer reviewed

Infectious presentations and concordance

How dispatch suspicion, on-scene phenotype and high-risk time-sensitive triage align in infectious presentations.

Conceptual illustration · not a plot of study data

The three information layers did not represent the same clinical construct; concordance changed depending on where in the care pathway infection and urgency were assessed.

Study populationPrehospital infectious presentations
SettingStockholm, Sweden
Study period2017–2022
DOI10.21203/rs.3.rs-7651316/v1
Research question
How dispatch suspicion, on-scene phenotype and high-risk time-sensitive triage align in infectious presentations.
Study population
Prehospital infectious presentations · 2017–2022 · Stockholm, Sweden
Method
Retrospective machine-learning study comparing dispatch suspicion of infection, the on-scene symptom phenotype and high-risk time-sensitive triage.
Key findings
The three information layers did not represent the same clinical construct; concordance changed depending on where in the care pathway infection and urgency were assessed.
Operational relevance
Dispatch labels should not be treated as definitive clinical truth. Reassessment and explicit interpretation boundaries matter when data are used for allocation or evaluation.

This preprint has not completed journal peer review. Observational associations do not establish causal effects or operational thresholds.

Open publication ↗

Original publication title

Concordance Between Dispatch Suspicion, On-Scene Phenotype, and Time Sensitive Triage in Prehospital Infectious Presentations: A Retrospective Machine-Learning Study

This page is a research summary. Consult the original English publication for the full methods, results and reuse terms.

Research provenance
Publication status
Preprint · not peer reviewed
Research question
How dispatch suspicion, on-scene phenotype and high-risk time-sensitive triage align in infectious presentations.
Study population
Prehospital infectious presentations
Setting
Stockholm, Sweden
Study period
2017–2022
Method
Retrospective machine-learning study comparing dispatch suspicion of infection, the on-scene symptom phenotype and high-risk time-sensitive triage.
Interpretation boundaries
This preprint has not completed journal peer review. Observational associations do not establish causal effects or operational thresholds.
DOI
10.21203/rs.3.rs-7651316/v1
Cite this research
Hill P, Jonsson D, Lederman J, Bolin P, Vicente V. Concordance Between Dispatch Suspicion, On-Scene Phenotype, and Time Sensitive Triage in Prehospital Infectious Presentations: A Retrospective Machine-Learning Study. Research Square. 2026. doi:10.21203/rs.3.rs-7651316/v1