CIHI Survey: Hospital Readmissions for Patients with Mental Illness in Canada
Bibliographic record
Abstract
In-patient hospital mental health services represent a fraction of the spectrum of services in place for those who seek treatment for a mental illness. It is often when the conditions of the illness become most severe that inpatient hospital services are sought. Hospitalization is an important means of stabilizing deteriorating psychiatric conditions, of re-establishing discontinued regimens of prescribed medication and of helping to transition individuals to outpatient and community-based services. Hospitalizations for mental illness impose a high cost in terms of healthcare expenditures (Jacobs et al. 2006) and a disruptive burden on the personal and professional lives of the individuals suffering from mental illness. Many such individuals experience a “revolving door” of multiple re-hospitalizations. This article provides information on the patterns of oneyear readmissions (for any reason) to acute care hospitals in Canada among patients with mental illness as the most responsible diagnosis in their index admission during 2002–2003. It is based on data from the Hospital Morbidity Database and Hospital Mental Health Database of the Canadian Institute for Health Information (CIHI). Readmissions were deemed if the individual had more than one episode of hospitalization during the period 2002–2003 to 2003–2004.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".