Bereaved Family Members’ assessments of the quality of End-Of-Life Care: What is Important?
Bibliographic record
Abstract
Families of patients are well poised to comment on the end-of-life (EOL) care received by those patients and can provide feedback to care providers and decision makers. To better understand family-member evaluations of the quality of in-patient EOL care, this study draws on qualitative interview data (n = 24) to identify core aspects of EOL care that are important for family members. Based on this analysis, a conceptual framework of family members' assessments of their experiences with EOL health care services is developed. Findings suggest the need to distinguish between perceived substantive or tangible features of received care, interpretations of the causes and symbolic meanings of that care, and personal and affective outcomes. Practitioners are encouraged to reflect on how behaviours and communications may be interpreted by families. Attention also needs to be given to the changes in practice and organizational decision making that can facilitate more positive experiences for families and patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".