OP027 Topic: AS09–Global Health/Resource Limited Setting/Health Inequalities/Impact of Global Warming/Other: SOCIOECONOMIC DEPRIVATION AND PEDIATRIC INTENSIVE CARE UNIT (PICU) ADMISSION AND OUTCOMES IN ALBERTA
Bibliographic record
Abstract
Aims & Objectives: Socioeconomic deprivation (SED) is associated with higher mortality, readmission rates, and disability in critically ill adults. We aimed to describe the distribution of SED and its association with PICU outcomes for critically ill children. Methods: Retrospective cohort study analyzing hospital records of children admitted to a PICU in Alberta, Canada between January 1, 2011 and December 31, 2021. Patient demographics, admission characteristics and outcomes (hospital mortality, PICU LOS and hospital LOS) were described. Logistic and negative binomial regression models examined the association between SED and outcomes adjusted for age and rural vs urban status. Results: 10,454 children were included with a median age of 2 years (IQR, 0-9 years). Mortality was the lowest for the least deprived (Q1) (2.3%) and highest for the most deprived (Q4 and Q5) (3.6% and 3.3%). Median ICU LOS (p=0.71) and hospital LOS (p=0.23) were similar across deprivation quintiles. Children from Q4 and Q5 had a 1.59 (95%CI: 1.15-2.18) and 1.47 (95%CI: 1.09-1.98) times higher odds of mortality than those in the combined first and second quintiles. Children from Q5 had an estimated 19.5% (95%CI: 9.8%-30%) longer hospital stay (p<0.001) than those from Q1. This effect decreased with increasing age (p <0.001). Conclusions: Children who reside in the most deprived neighborhoods are overrepresented in Alberta PICUs, have increased odds of mortality, and an increased duration of hospital stay. Further research aimed at informing community efforts to minimize the negative impacts of social determinants of health are essential for improving the health of the most vulnerable children. Keywords: length of stay, socioeconomic deprivation, Mortality, socioeconomic status, equity
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".