Anonymous living liver donor perspectives on the role of family in their donation experience
Bibliographic record
Abstract
Anonymous living organ donation is an understudied but rapidly expanding sector in organ transplantation, in which donors choose to donate anonymously to a recipient in need. The family members and close support network of living donors often play a crucial role in the donation process, and their influence likely has a large impact on the decision to donate as well as the donor's physical and psychosocial state. However, there is limited data examining the impact donor families have on the anonymous donor, and in turn, the impact donation has on donors' families. To assess this, we analyzed a semi-structured qualitative interview on living donor experiences with 26 anonymous living liver donors for common themes concerning donor families. Responses surrounding donor families were grouped into three major categories: (1) family reactions to donation, ranging from (a) pride/support, (b) fear/worry, and (c) jealousy/anger; (2) the impact of donation on donor-family relationships, including (a) positive impacts, (b) negative impacts, (c) a positive ripple effect; (3) gaps in institutional support for donor families. This study provides unique information on anonymous living liver donor perceptions related to their families and will help improve existing programs to accommodate donor family needs and cater to donor relationships.
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".