National evaluation of healthcare provider attitudes toward organ donation after cardiac death*
Bibliographic record
Abstract
OBJECTIVE: Organ donation after cardiac death will save lives by increasing the number of transplantable organs. But many healthcare providers are reluctant to participate when the withdrawal of intensive care leads to organ donation. Prior surveys indicate ethical concerns as a barrier to the practice of organ donation after cardiac death, but the specific issues that characterize these concerns are unknown. We thus aimed to identify what barriers healthcare providers perceive. DESIGN: We conducted a qualitative analysis of focus group transcripts to identify issues of broad importance. SETTING: Healthcare setting. PARTICIPANTS: Participants included 141 healthcare providers representing critical care and perioperative nurses, transplant surgeons, medical examiners, organ procurement personnel, neurosurgeons, and neurologists. INTERVENTIONS: Collection and analysis of information regarding healthcare providers' attitudes and beliefs. MEASUREMENTS AND MAIN RESULTS: All focus groups agreed that increased organ availability is a benefit but questioned the quality of organs recovered. Study participants identified a lack of standards for patient prognostication and cardiopulmonary death and a failure to prevent a conflict between patient and donor interests as obstacles to acceptance of organ donation after cardiac death. They questioned the practices and motives of colleagues who participate in organ donation after cardiac death, apprehensive that real or perceived impropriety would affect public perception. CONCLUSIONS: Healthcare providers are uncomfortable at the clinical juncture where end-of-life care and organ donation interface. Our findings are consistent with theories that care providers are hesitant to perform medical tasks that they consider to be outside the focus of their practice, especially when there is potential conflict of interest. This conflict appears to impose moral distress on healthcare providers and limits acceptance of organ donation after cardiac death. Future research is warranted to examine the effect of standardized procedures on reducing moral distress. The hypothesis generated by this qualitative study is that use of neutral third parties to broach the subject of organ donation may improve acceptance of organ donation after cardiac death.
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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 | 0.040 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".