Clinical and Socioeconomic Associations With Hospital Days and Emergency Department Visits Among Medically Complex Children: A Retrospective Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To estimate associations between clinical and socioeconomic variables and hospital days and emergency department (ED) visits for children with medical complexity (CMCs) for 5 years after index admission. METHODS: Retrospective, longitudinal, population-based cohort study of CMCs in Alberta (n = 12 621) diagnosed between 2010 and 2013 using administrative data linked to socioeconomic data. The primary outcomes were annual cumulative numbers of hospital days and ED visits for 5 years after index admission. Data were analyzed using mixed-effect hurdle regression. RESULTS: Among CMCs utilizing resources, those with more chronic medications had more hospital days (relative difference [RD] 3.331 for ≥5 vs 0 medications in year 1, SE 0.347, P value < .001) and ED visits (RD 1.836 for 0 vs ≥5 medications in year 1, SE 0.133, P value < .001). Among these CMCs, initial length of stay had significant, positive associations with hospital days (RD 1.960-5.097, SE 0.161-0.610, P value < .001 outside of the gastrointestinal and hematology and immunodeficiency groups). Those residing in rural or remote areas had more ED visits than those in urban or metropolitan locations (RD 1.727 for rural versus urban, SE 0.075, P < .001). Material and social deprivation had significant, positive associations with number of ED visits. CONCLUSIONS: Clinical factors are more strongly associated with hospitalizations and socioeconomic factors with ED visits. Policy administrators and researchers aiming to optimize resource use and improve outcomes for CMCs should consider interventions that include both clinical care and socioeconomic support.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".