Patterns of emergency department visits during Hajj period: Towards healthcare optimization in view of Saudi Arabia’s vision 2030
Bibliographic record
Abstract
Objective: This study aimed to examine the pattern of emergency department (ED) visits by Hajj patients and determine the urgency of emergency visits at an advanced healthcare center. Methods: A retrospective review of medical records of Hajj patients visiting the ED at King Abdullah Medical City Makkah from September 1 to October 5, 2015 was conducted. Results: We considered 233 visits by 199 Hajj patients. Most diseases were cardiovascular related. Approximately half of the ED visits led to hospital admission, which were largely during the evening and nighttime. Potentially avoidable visits were significantly encountered during the daytime. Average bed occupation time in the ED was similar for both cases: those admitted to inpatient care and discharged from ED. Results from the Canadian Triage and Acuity Scale revealed that most patients were triaged with a score of III (48.4%) followed by a clinically better score of IV (32%); however, scores did not change significantly throughout the Hajj day. Conclusions: During Hajj, a significant proportion of patients who visited the ED at the ultimate healthcare facility were discharged within 24 hours, with a higher rate in the morning-afternoon period. Both admitted and discharged cases required equal levels of care. Therefore, an extension in working days at primary care centers and optimization of advanced healthcare facilities during Hajj is currently warranted. doi: https://doi.org/10.12669/pjms.35.3.611 How to cite this:Mirza AA, Alsakkaf MA, Mohammed AA, Mirza AA, Elmorsy SA. Patterns of emergency department visits during Hajj period: Towards healthcare optimization in view of Saudi Arabia’s vision 2030. Pak J Med Sci. 2019;35(3):647-652. doi: https://doi.org/10.12669/pjms.35.3.611 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".