Review: patients in nursing-led units are better prepared for discharge than those receiving usual careCommentary
Bibliographic record
Abstract
P Griffiths Correspondence to: Dr P Griffiths, King’s College London, London, UK; peter.griffiths@kcl.ac.uk Are nursing-led inpatient units (NLUs) more effective than usual inpatient care in preparing patients for discharge? ### Data sources: Medline, CINAHL, EMBASE/Excerpta Medica, Cochrane Library , Healthcare Management Information Consortium database, and British Nursing Index (to November 2006); Cochrane Effective Practice and Organisation of Care Group’s specialised register (to October 2006); ISI Web of Knowledge (to January 2007); and experts. ### Study selection and assessment: controlled trials that compared nurse-managed care in an NLU with usual inpatient care on a general acute hospital ward (managed by physicians) in adult patients after acute admission for any physical health condition. NLU care must have been a substitute for some or all of the acute hospital stay, rather than an addition to it. 8 randomised controlled trials (n = 1147), 2 quasi-randomised trials (n = 749), and 1 controlled before–after study met the selection criteria (range of …
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".