Factors Associated With Prolonged Stay in a Pediatric Emergency Observation Unit of an Urban Tertiary Children’s Hospital in China
Bibliographic record
Abstract
OBJECTIVES: This study aimed to examine the factors associated with increased length of stay (LOS > 24 hours) in the pediatric emergency observation unit (OU) of an urban tertiary children's hospital in China. METHODS: This study was a retrospective cohort study. We retrieved and examined all the records of patients (age, 0-16 years) who were admitted to the OU (n = 10,852) during July 1, 2008, to June 30, 2009. The primary outcome was LOS and prolonged stay (LOS > 24 hours). We also performed a sensitivity analysis by using LOS of 3 days or greater and LOS of 6 days or greater as dependent variables in logistic regression and compared with LOS of greater than 24 hours regression to examine the robustness of the associations. RESULTS: The overall mean (SD) LOS was 24.0 (24.4) hours; 31.3% had LOS of greater than 24 hours, of which the mean (SD) LOS was 50.2 (28.6) hours. The following factors were associated with LOS of greater than 24 hours: age, 28 days to 3 months (odds ratio, [OR], 1.87; 95% confidence interval, 1.36-2.59) and older than 3 months to 12 months (OR, 1.83; 95% CI, 1.35-2.50) compared with age 0 to 28 days; neurologic diseases (OR, 1.50; 95% CI, 1.31-1.72), infectious diseases (OR, 2.00; 95% CI, 1.61-2.49), and visits for non-respiratory-related signs and symptoms (OR, 2.00; 95% CI, 1.61-2.49); acuity level of emergent (OR, 1.79; 95% CI, 1.57-2.04); procedures (OR, 7.09; 95% CI, 4.16-12.10); emergency transfusions (OR, 1.33; 95% CI, 1.01-1.75); staffed by residents (OR, 1.12; 95% CI, 1.01-1.24); and patients living in low-annual gross domestic product districts (OR, 1.14; 95% CI, 1.01-1.29). Arrival at evening (OR, 0.54; 95% CI, 0.49-0.60) and overnight (OR, 0.43; 95% CI, 0.38-0.49) were less likely to have LOS of greater than 24 hours than arrival during day shifts. CONCLUSIONS: We identified some risk factors for prolonged stay in an OU. These factors are the starting points in understanding issues related to prolonged stay and are needed to assess efficiency and quality of care in pediatric emergency department and OU. Our results have provided information basis for making improvements in the system and may be important considerations for similar institutions, which encounter similar challenges.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".