ArticleBMJ open2020
Progression of vital signs during ambulance transport categorised by a paediatric triage model: a population-based historical cohort study.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Real-time prediction of cardiorespiratory deterioration during paediatric critical care transport using interpretable machine learning.PLOS digital health · 2026Article
- Identification of physiological adverse events using continuous vital signs monitoring during paediatric critical care transport: A novel data-driven approach.PLOS digital health · 2025Article
- Machine learning to improve predictive performance of prehospital early warning scores.Scientific reports · 2025Article
- Existing Data Sources in Clinical Epidemiology: The Danish Prehospital Medical Record System.Clinical epidemiology · 2025Review
- Adaption of a trigger tool to identify harmful incidents, no harm incidents, and near misses in prehospital emergency care of children.BMC emergency medicine · 2024Article
- Prehospital Early Warning Scores to Predict Mortality in Patients Using Ambulances.JAMA network open · 2023Article
- Prehospital vital sign monitoring in paediatric patients: an interregional study of educational interventions.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Article
- The data quality and applicability of a Danish prehospital electronic health record: A mixed-methods study.PloS one · 2023Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTo examine the severity and progression of acute illness or injury in children using vital signs obtained during ambulance transport and categorised according to a paediatric triage model.
designA population-based historical cohort study using data from prehospital patient medical records linked to a national civil registration database.
settingEmergency medical services providing ground-level transport in a mixed urban-rural region with three hospitals in Denmark.
participants25 039 events with patients aged <18 years attended by emergency medical services dispatched after a 1-1-2 emergency call during the years 2006-2018. PRIMARY AND SECONDARY OUTCOME MEASURES: Distribution of the first observed vital signs according to a paediatric triage model: heart rate, Glasgow Coma Score, respiratory rate, oxygen saturation and oxygen treatment, and proportion of patients progressing to a triage score with a lower level of urgency during ambulance transport.
resultsThe proportion of patients with the first observed vital signs outside the normal age-specific range was as follows: 33.6% for heart rate, 15.3% for Glasgow Coma Score, 17.4% for respiratory rate and 37.4% for oxygen saturation regardless of oxygen treatment. The proportion of patients progressing to a triage score with a lower level of urgency during transport varied with age: 146/354 (41.2%) for age 0-2 months, 440/986 (44.6%) for age 3-11 months, 1278/3212 (39.8%) for age 1-2 years, 967/2814 (34.4%) for age 3-7 years and 4029/13 864 (29.1%) for age 8-17 years (p<0.001). One-day mortality was 3.05 deaths per 1000 patient-days (95% CI 2.43 to 3.83).
conclusionsOne third of the patients' condition progressed to a triage score with a lower level of urgency during ambulance transport. Vital sign documentation in paediatric patients was incomplete, and educational initiatives should be taken to increase documentation of vital signs, especially in patients aged ≤2 years.
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