Blood donor notification of variant Creutzfeldt–Jakob disease risk: Lessons in communicating donor deferral and risk
Bibliographic record
Abstract
BACKGROUND: In 2005, the blood service in England notified 101 donors by letter that they may be at risk of variant Creutzfeldt-Jakob disease (vCJD) because a recipient of their blood later developed vCJD. Donor experience of the notification was studied in a 2009 survey. METHODS: Fifteen questions focused on satisfaction, emotional response and understanding of the notification letter. An average Likert score was calculated: 1 and 2 = dissatisfied, 3 = equivocal and 4 and 5 = satisfied; the per cent satisfied and dissatisfied were calculated and characteristics compared using the Fisher and Chi-squared tests. RESULTS: The questionnaire was completed by 56 of 90 notified donors, mostly repeat, U.K.-born donors over 45 years of age. Four years after notification, many individuals still felt surprise (44%), upset (44%) or worry (50%) about the letter, with 10 feeling depressed. Thirty per cent were uncertain if they had vCJD or not. For future notifications, 57% would still favour a detailed letter and 36% would prefer a discussion in person. DISCUSSION: It was notable how many individuals, 4 years later, still felt continuing anxiety about the vCJD notification letter, not noted in earlier interviews. This highlights a need for on-going support required in donor notifications where outcome for the individual is highly uncertain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".