Predicting Length of Stay in an Acute Care Hospital
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In an acute care hospital, a major performance indicator is patient length of stay. This study, in a large university teaching acute care hospital in Canada, examined the effect of psychosocial problems on length of stay, controlling for patient demographics and medical condition. Average days stay for Diagnostic Related Groups (DRGs) was used as a proxy variable for severity of medical condition, and the Person-in-Environment (PIE) classification system was used to measure psychosocial problems. Data were collected on a sample of 160 patients; 78 in psychiatry and 82 in medical/surgical wards. In a regression analysis, the severity of the patient's psychosocial problem was a more significant predictor of length of stay than the DRG variable. The identification of psychosocial problems and their severity add an important and complementary dimension to research into the effectiveness of social workers in reducing length of stay. Workers found clients had significantly more problems related to their social role functioning than problems in the environment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it