Predicting hospital length of stay for geriatric and adult patients with schizophrenia
Bibliographic record
Abstract
Objective: To determine predictors of psychiatric hospital length of stay (LOS) for geriatric and adult patients with schizophrenia admitted to inpatient beds, that could be determined within 72 hours of hospitalization. Methods: General linear models were used to identify and compare predictors of LOS for 187 geriatric patients and 881 general adult patients with schizophrenia admitted to a large urban mental health centre between 2005 and 2010. Demographic and clinical information were obtained from the Resident Assessment Inventory – Mental Health (RAI). Results: Increased dependence score on the Instrumental Activities of Daily Living scale predicted longer LOS in general adult but not in geriatric schizophrenia patients. Predictors of longer LOS irrespective of age group included recent psychiatric admissions, living alone and incapacity to make treatment decisions. Conclusions: Specific clinical characteristics are associated with longer hospitalization in patients with schizophrenia. Addressing these factors early on in the admission may result in shorter LOS and better use of resources.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".