The Sleep Experience of Medical and Surgical Patients
Bibliographic record
Abstract
This study described and compared the sleep experience of medical and surgical patients during a hospital stay. During 3 consecutive nights, patients (n = 110) self-reported sleep quality using the Verran and Snyder Sleep Scale (VSH) and potentially disruptive factors using items from the Factors Influencing Sleep Questionnaire (FISQ). Surgical patients, on the first night, received more procedural care (p = .001), less sedative medication (p < .001), reported more sleep disturbance (p = .02), less sleep effectiveness (p = .03), and more need for sleep supplementation (p = .03). Variance in sleep effectiveness was explained by the FISQ score, age, and length of time in hospital (F = 6.86, p < .001). The sleep experience of patients varies between diagnostic groupings and across the hospital stay. Unit environmental and personal factors, factors that are amenable to therapeutic interventions, strongly influence the sleep experience.
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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 | 0.000 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".