71. Factors predicting hospital admission for non-urgent patients triaged with the Canadian Triage and Acuity Scale (CTAS) in the Emergency Department. a retrospective study in Tertiary Center in Makkah, KSA
Bibliographic record
Abstract
Background: Triage system is prioritizing patients according to their urgency to deal with overcrowding of non-urgent patients in the Emergency Department (ED). The aim of this study is to evaluate the admission of non-urgent patients in order to decrease the burden on the ED by triaging them away to the Primary Health Care (PHC). Design and Methods: This retrospective cohort study included all adult non-trauma ED visits in King Abdullah Medical City (KAMC), triaged as Canadian Triage and Acuity Scale (CTAS) IV and V, from May 9 to July 8, 2019. The data was extracted from KAMC database onto SPSS. Multivariate logistic regression was used to examine which factors could affect admission. Results: CTAS IV and CTAS V patients were 30.31% (1495/5066) of total ED visits. Admission was 6.02%; 5.8% for CTAS IV and 0.2% for CTAS V. All CTAS V admissions were elective. Nausea and vomiting (14.4%) were the most frequent chief complaints in the admitted group. The overall referral of non-urgent patients was 12.4% and bounce-back was 13.7%. Logistic regression showed that being tachypneic (OR: 6.68; 95%CI: 1.4-31.5), hypertensive (OR: 3.4; 95%CI: 2.2-5.4) or an oncology patient (OR: 2.85; 95%CI: 1.8-4.6) predicted hospital admission. Conclusion: All CTAS V cases can be safely triaged away to the PHC; CTAS IV can be either triaged away to PHC or to urgent care center, taking into consideration whether the patient is tachypneic, hypertensive or an oncology patient.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".