Are Pediatric Triage Systems Reliable in the Emergency Department?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background . Few studies have focused on the agreement level of pediatric triage scales (PTSs). The aim of this meta-analytic review was to examine the level of inter-rater reliability of PTSs. Methods . Detailed searches of a number of electronic databases were performed up to 1 March 2019. Studies that reported sample sizes, reliability coefficients, and a comprehensive description of the assessment of the inter-rater reliability of PTSs were included. The articles were selected according to the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) taxonomy. Two reviewers were involved in the study selection, quality assessment, and data extraction and performed the review process. The effect size was estimated by z -transformation of reliability coefficients. Data were pooled with random-effects models, and a metaregression analysis was performed based on the method of moments estimator. Results . Thirteen studies were included. The pooled coefficient for the level of agreement was 0.727 (confidence interval (CI) 95%: 0.650–0.790). The level of agreement on PTSs was substantial, with a value of 0.25 (95% CI: 0.202–0.297) for the Australasian Triage Scale (ATS), 0.571 (95% CI: 0.372–0.720) for the Canadian Triage and Acuity Scale (CTAS), 0.810 (95% CI: 0.711–0.877) for the Emergency Severity Index (ESI), and 0.755 (95% CI: 0.522–0.883) for the Manchester Triage System (MTS). Conclusions . Overall, the reliability of pediatric triage systems was substantial, and this level of agreement should be considered acceptable for triage in the pediatric emergency department. Further studies on the level of agreement of pediatric triage systems are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it