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Record W2275211645 · doi:10.1177/082585971102700202

Sleeping with One Eye Open: The Sleep experience of Family Members Providing Palliative Care at Home

2011· article· en· W2275211645 on OpenAlexaff
Brenda Hearson, Susan McClement, Diana E. McMillan, Michael Harlos

Bibliographic record

VenueJournal of Palliative Care · 2011
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsUniversity of ManitobaCancerCare ManitobaWinnipeg Regional Health Authority
Fundersnot available
KeywordsActigraphyEpworth Sleepiness ScalePittsburgh Sleep Quality IndexPalliative careSleep (system call)Family caregiversDescriptive statisticsRespite carePsychologyGerontologyPhysical therapyMedicineClinical psychologyNursingSleep qualityPsychiatryInsomniaPolysomnography

Abstract

fetched live from OpenAlex

PURPOSE: To empirically describe the sleep experience of family caregivers (n=13) of advanced cancer patients. METHOD: Mixed methodology using: family interviews; Epworth Sleepiness Scale (ESS); Pittsburgh Sleep Quality Index (PSQI); and actigraphy measurement. Qualitative data analysis utilized constant comparative content techniques. Actiware for the actigraphy data and the Statistical Package for the Social Sciences-15 (SPSS-15) generated descriptive and correlation statistics. FINDINGS: The overarching theme "sleeping with one eye open" captures the vigilant nature of caregivers' sleep experiences. Caregiver narratives were validated by quantitative findings: 5 of the family caregivers (38.5 percent) had an ESS score > or =11 indicative of excessive daytime sleepiness, all caregivers had a PSQI global score >5 indicative of moderate to severe sleep problems, and actigraphy scores--including total sleep time, sleep efficiency, and time awake after sleep onset--fell beyond normal values documented in the literature. CONCLUSION: Impeccable assessment of the patient's and family's sleep status, sleep education, intervention strategies, and high-quality respite services are critical in community-based palliative care.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.074
GPT teacher head0.343
Teacher spread0.269 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations34
Published2011
Admission routes1
Has abstractyes

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