Families and heart transplantation: reversing the trajectory of end stage heart disease.
Bibliographic record
Abstract
UNLABELLED: Family caregiving is central in the heart transplant (HT) process. METHOD: Using a constructivist grounded theory approach, study data were collected from 12 health professionals and 15 families in which one member was a HT recipient throughout three phases of the HT process. FINDINGS: Our interpretations suggest that family caregiving contributes to "reversing the downward trajectory" of end stage heart disease. This impacts the health of caregivers and disrupted family life. In some families, this caregiving work contributed to a smooth and uncomplicated recovery, while for others caregiving work was demanding and prolonged, or their loved one succumbed. Families reported that access to system-level supports for family caregiving varied. CONCLUSION: Family caregiving is an important factor in a successful recovery from HT. To ensure effective family caregiving, support should be available to family members in this role across all stages of the HT process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".