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Record W2133685955 · doi:10.1177/0269216312473171

Family caregiver satisfaction with home-based nursing and physician care over the palliative care trajectory: Results from a longitudinal survey questionnaire

2013· article· en· W2133685955 on OpenAlexafffund
Denise N. Guerriere, Brandon Zagorski, Peter C. Coyte

Bibliographic record

VenuePalliative Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicinePalliative careNursingNursing homesFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A limited understanding of satisfaction with home-based palliative care currently exists. AIM: This study measured family caregivers' satisfaction with home-based physician and nursing palliative care services, and explored predictors of satisfaction, across the palliative care trajectory. DESIGN: A longitudinal, cohort design was used. Family caregivers were interviewed by telephone by-weekly from palliative care admission until death. Satisfaction was assessed using the Quality of End-of-Life care and Satisfaction with Treatment (QUEST) questionnaire. Multiple logistic regression models were used to determine the extent to which demographic, quality of care, and service related variables predicted satisfaction. SETTING/PARTICIPANTS: Family caregivers (N=104) of palliative care patients. RESULTS: Each of the nine quality of care parameters were consistently found to be significant predictors of overall satisfaction with palliative care. CONCLUSIONS: The results may inform key health policy issues. Specifically, knowledge of how quality of care parameters predict family caregivers' satisfaction over the course of the palliative care trajectory may aid managers responsible for resource allocation and the determination of home care standards.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.079
GPT teacher head0.365
Teacher spread0.286 · 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.

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

Citations30
Published2013
Admission routes2
Has abstractyes

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