Focus Group Study of Public Opinion About Paying Living Kidney Donors in Australia
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The unmet demand for kidney transplantation has generated intense controversy about introducing incentives for living kidney donors to increase donation rates. Such debates may affect public perception and acceptance of living kidney donation. This study aims to describe the range and depth of public opinion on financial reimbursement, compensation, and incentives for living kidney donors. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Twelve focus groups were conducted with 113 participants recruited from the general public in three Australian states in February 2013. Thematic analysis was used to analyze the transcripts. RESULTS: Five themes were identified: creating ethical impasses (commodification of the body, quandary of kidney valuation, pushing moral boundaries), corrupting motivations (exposing the vulnerable, inevitable abuse, supplanting altruism), determining justifiable risk (compromising kidney quality, undue harm, accepting a confined risk, trusting protective mechanisms, right to autonomy), driving access (urgency of organ shortage, minimizing disadvantage, guaranteeing cost-efficiency, providing impetus, counteracting black markets), and honoring donor deservingness (fairness and reason, reassurance and rewards, merited recompense). Reimbursement and justifiable recompense are considered by the Australian public as a legitimate way of supporting donors and reducing disadvantage. Financial payment beyond reimbursement is regarded as morally reprehensible, with the potential for exploitative commercialism. Some contend that regulated compensation could be a defensible strategy to increased donation rates provided that mechanisms are in place to protect donors. CONCLUSIONS: The perceived threat to community values of human dignity, goodwill, and fairness suggests that there could be strong public resistance to any form of financial inducements for living kidney donors. Policy priorities addressing the removal of disincentives may be more acceptable to the public.
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 | 0.016 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".