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Record W2139530018 · doi:10.1177/1054773803012002004

The Sleep Experience of Medical and Surgical Patients

2003· article· en· W2139530018 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Nursing Research · 2003
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsKingston General Hospital
Fundersnot available
KeywordsSleep (system call)MedicineSedativePsychological interventionSleep disorderPhysical therapyEmergency medicineAnesthesiaPsychiatryInsomnia

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.107
GPT teacher head0.539
Teacher spread0.431 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it