OA2‐AM23‐ST‐13 | Implementation of Sexual Risk‐Based Criteria: Impact on Safety and Adequacy of Supply
Bibliographic record
Abstract
In late 2022, time-based deferrals for men who have sex with men were replaced by gender neutral sexual risk-based criteria for all Canadian allogeneic whole blood, plateletpheresis, and plasmapheresis donors. All donors who have had a new sexual partner or more than one sexual partner in the last 3 months are asked about anal sex and are deferred from donations for 3 months after last anal sex or donation attempt. We evaluated the impact of this change on HIV rates and deferral rates. Data on donors, donations, transmissible disease markers and deferrals were extracted from our epidemiology databases. Where applicable, post-implementation data (starting from September, 2022 for one blood supplier and in December, 2022 for the second blood supplier) were compared to historical data. Post-implementation, there were 2 HIV-positive donors of 433,734 donations screened (0.5 per 100,000), compared to a pre-implementation rate of 0.4 per 100,000 in the previous year. The first HIV-positive donor was a 27-year-old male source plasma donor with one prior donation 5 years earlier who had not used PrEP or ART. The second HIV-positive donor was a first-time 37-year-old male whole blood donor. There were 2.3 % of donors who answered affirmatively to having a new partner or multiple partners in the last 3 months; but only 3% also had anal sex. Thus, only 0.09% of donors overall were deferred. Deferrals were more common in first-time donors compared with repeat (0.3% vs. 0.06%), and in younger donors (under 30, 0.3%; 30–39, 0.15%, 40–49, 0.06%; over 50, 0.01%). National implementation of gender-neutral sexual risk based criteria had no impact on HIV-positive rates and resulted in deferral of 0.09% of donors, considerably less than predicted by pre-implementation studies. A longer observation period as well as planned post-implementation studies to assess donor compliance will strengthen these preliminary observations.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".