Current perceptions of Canadian autologous blood donors
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: We determined the perceptions and motivations of autologous donors to establish their regard for this process and the new blood system established in 1999 in Canada. MATERIALS AND METHODS: Patients were surveyed before and after orthopaedic, cardiac, urological or gynecological procedures. RESULTS: Patients (n = 100; 57 men and 43 women) ranged in age from 19 to 83 years. Most had finished high school, and 21 had a university degree. Eighty-four had undergone previous surgery and 27 a previous transfusion. Fifty-one had been blood donors and 17 had been autologous donors. Specialists suggested donation to 78 of the patients. Seventy-two participated because they knew that their blood would be there. Three had a mistrust of the blood provider. Sixty-six believed that there is still a risk of receiving contaminated blood. Sixty-nine thought any risk was > or = 1 in 100,000; however, 16 thought the risk was < 1 in 1000. Postsurgery, 83 were happy to have donated their blood and 77 would do it again. Many felt that it improved their outcome. Most felt an increased sense of safety. Eighty-three patients were confident that the Canadian blood system had improved, but 17 were unsure. CONCLUSIONS: Concern about the safety of the allogeneic blood supply still drives the wish to autodonate. The process gives patients a sense of control and security. A large proportion of people felt that the Canadian blood system had improved, as determined by this 2003 study.
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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 | 0.002 | 0.008 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".