Validity of triage systems for paediatric emergency care: a systematic review
Bibliographic record
Abstract
AIM: To present a systematic review on the validity of triage systems for paediatric emergency care. METHODS: Search in MEDLINE, Cochrane Library, Latin American and Caribbean Health Sciences Literature (LILACS), Scientific Electronic Library Online (SciELO), Nursing Database Index (BDENF) and Spanish Health Sciences Bibliographic Index (IBECS) for articles in English, French, Portuguese or Spanish with no time limit. Validity studies of five-level triage systems for patients 0-18 years old were included. Two reviewers performed data extraction and quality assessment as recommended by PRISMA statement. RESULTS: We found 25 studies on seven triage systems: Manchester Triage System (MTS); paediatric version of Canadian Triage and Acuity Scale (PedCTAS) and its adaptation for Taiwan (paediatric version of the Taiwan Triage and Acuity System); Emergency Severity Index version 4 (ESI v.4); Soterion Rapid Triage System and South African Triage Scale and its adaptation for Bostwana (Princess Marina Triage Scale). Only studies on the MTS used a reference standard for urgency, while all systems were evaluated using a proxy outcome for urgency such as admission. Over half of all studies were low quality. The MTS, PedCTAS and ESI v.4 presented the largest number of moderate and high quality studies. The three tools performed better in their countries or near them, showing a consistent association with hospitalisation and resource utilisation. Studies of all three tools found that patients at the lowest urgency levels were hospitalised, reflecting undertriage. CONCLUSIONS: There is some evidence to corroborate the validity of the MTS, PedCTAS and ESI v.4 for paediatric emergency care in their own countries or near them. Efforts to improve the sensitivity and to minimise the undertriage rates should continue. Cross-cultural adaptation is necessary when adopting these triage systems in other countries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.170 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".