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Record W2783101669 · doi:10.13162/hro-ors.v6i1.3220

Regulating the Risk of Blood-borne Related Infections: Men Who Have Sex with Men Deferral Policy

2018· article· en· W2783101669 on OpenAlexaffvenueabout
Melissa Berman-Rosa

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsDeferralMen who have sex with menMedicineDemographyHuman immunodeficiency virus (HIV)ImmunologyBusinessSyphilis

Abstract

fetched live from OpenAlex

In Canada, from 1989 to 2013, a man who had had sex with another man (MSM), even once since 1977, was categorically excluded from the blood donor pool. Although the LGBTTQ community and student groups argued that this exclusion, based solely on sexual orientation, was discriminatory and promoted homophobic attitudes, the painful legacy of the tainted blood scandal and the desire to maintain public trust in the blood supply, prevented Canadian Blood Services from relaxing the eligibility. The recent changes to the MSM blood deferral policy primarily aimed to align the ban with new epidemiological evidence of risk. Implicitly, another goal was to increase blood supply by enhancing young Canadian's perception of blood services, prompting them to become regular donors. An extensive consultation process, lasting almost a decade, was necessary to reach a compromise amongst patient groups opposed to changes to the legislation, and the LGBTTQ and student groups who wanted to eliminate the deferral for MSM altogether and reform screening practices. A consensus amongst high interest groups was reached in 2013, resulting in the implementation of a 5-year deferral (meaning MSM become eligible donors after five years without sex with other men) and three years later, a change to a 1-year deferral. The changes to the deferral policy have had a small impact on net blood supply; nevertheless, they have succeeded at improving donor compliance, satisfying activists, and advancing the possibility of introducing novel and improved screening tools that tackle the risk inherent in sexual practices rather than the risk related to sexual orientation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.284
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2018
Admission routes3
Has abstractyes

Explore more

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