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Record W2194145748 · doi:10.1177/082585970902500402

Satisfaction with End-Of-Life Care: A Longitudinal study of Patients and Their Family Caregivers in the Last months of Life

2009· article· en· W2194145748 on OpenAlexaff
Daren K. Heyland, Christopher Frank, Joan Tranmer, Nancy Paul, Deborah Pichora, Xuran Jiang, Andrew G. Day

Bibliographic record

VenueJournal of Palliative Care · 2009
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsQueen's UniversityClinical Evaluation Research UnitKingston General Hospital
Fundersnot available
KeywordsEnd-of-life careMedicineLongitudinal studyFamily caregiversLife satisfactionFamily medicinePsychologyGerontologyPalliative careNursing

Abstract

fetched live from OpenAlex

To determine whether and how ratings of satisfaction with end-of-life (EOL) care change over time and across settings, we administered a satisfaction questionnaire to patients 55 years and older with advanced medical disease and their family caregivers (FCGs). We re-interviewed approximately every two months for a maximum of four visits. Overall, 97 patients and 68 FCGs completed a baseline interview; 57 and 40 completed two interviews, 35 and 22 completed three, and 15 and 10 completed four. Patient satisfaction increased over time and in three of the six questionnaire domains, but this was largely confounded with the location of interview. Satisfaction scores were greater among patients whose baseline interviews occurred at home. FCGs reported increased satisfaction over time; members of the subgroup that cared for patients who died during the study were less satisfied in the spirituality domain during bereavement than prior to their relative's death. Satisfaction with care tends to vary based on location of interview and may vary across time with respect to certain aspects of EOL 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.524

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.354
Teacher spread0.284 · 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 designObservational
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

Citations26
Published2009
Admission routes1
Has abstractyes

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