Quality Effect of Early Discharge of Maternity Patients: Does Hospital Specialization Matter?
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
The quest to reduce health care cost has led many industrialized nations to reduce hospital length of stay. This paper uses instrumental variable estimation to estimate the effect of early discharge on readmission rates of maternity patients in British Columbia, Canada and investigates how the impact varied according to hospitals' degree of specialization. Principal component analysis was used to classify the hospitals according to their degree of specialization. The results show that the early discharge policy increased readmission rates, and this increase, varied according to the degree of specialization of the hospital. The increase in readmission rate is observed to be lowest in the very highly specialized hospitals and highest in the moderately specialized hospitals. The highly specialized hospitals are, however, capable of using resources most efficiently at least partly due to a reduction in the use of invasive procedures.
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 | 0.001 | 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 it