Public Attitudes and Beliefs About Living Kidney Donation
Bibliographic record
Abstract
BACKGROUND: With the rising prevalence of end-stage kidney disease worldwide, the proportion of the general community who might subsequently be called upon to consider living related kidney donation is also increasing. Knowledge about the attitudes and beliefs among the general public about living kidney donation is limited. We aimed to describe public perspectives on living kidney donation. METHODS: Participants were recruited from three states in Australia to participate in 12 focus groups (n=113). Transcripts were analyzed thematically. RESULTS: We identified six themes: expected benefits (saving and improving life, societal gain, donor satisfaction, reassurance and control), consciousness of donor risks (compromised health, lifestyle limitations, financial consequences, relationship tensions, devastation), social precariousness (fear of the unknown, exploitative connotation, recipient deservingness, protecting conscience, potential regret), upholding fairness (equal access to transplantation, reciprocity, prevent prejudice, donor safety net), decisional autonomy (body ownership, right to know, valid relationships), and assumed duty of care (facilitate informed decision-making, safeguard against coercion, ensure psychological safety, justifiable risk, objectivity, warranted disclosure). CONCLUSION: The expected benefits for recipients bolster public support for living kidney donor transplantation; however, ethical dilemmas and concerns for the donor instilled ambivalence about living donation. Protecting equity and autonomy, and an implicit trust in health professionals to protect donors and recipients mitigated some of these uncertainties. Developing interventions, practices, and policies that address community skepticism and values may promote awareness and trust in living kidney donation.
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 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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".