All-Cause, 30-Day Readmissions Among Persons With Intellectual and Developmental Disabilities and Mental Illness
Bibliographic record
Abstract
OBJECTIVE: Early hospital readmissions within 30 days of discharge are common and costly. This research describes predictors of all-cause, 30-day hospital readmissions among persons with intellectual and developmental disabilities (IDD), a group known to experience high rates of hospitalization. METHODS: A cohort of 66,484 adults with IDD from Ontario, Canada, was used to create two subgroups: individuals with IDD only and those with IDD and mental illness. The rates of hospital readmission were determined and contrasted with a comparison subgroup of people without IDD who have mental illness. RESULTS: Compared with those with mental illness only, individuals with IDD and mental illness were 1.7 times more likely to experience a hospital readmission within 30 days. Predictors of their readmission rates included being a young adult and having high morbidity levels. CONCLUSIONS: The high rate of hospital readmission suggests that individuals with IDD and mental illness need attention regarding discharge planning and outpatient follow-up.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".