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Discriminatory Blood Donation Policies Defy Science

2021· article· en· W7027889741 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2021
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueTechnology, Environment, Urban Planning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDeferralMen who have sex with menDonationBlood donationsEconomic shortageBlood donorScrutiny
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

During the COVID-19 pandemic, blood donation deferral policies came under scrutiny due to blood donation shortages nationwide. In addition, the U.S. Food and Drug Administration’s (FDA) call for convalescent plasma—blood collected from individuals who have recovered from COVID-19—brought attention to these policies that prohibit some men from donating plasma under FDA’s policy on donations from men who have sex with men (MSM). Advocates have long argued for a shift in FDA’s policy targeting MSM. As a result, FDA decreased the once-permanent ban on blood donations by MSM from a 12-month deferral period to a 3-month deferral period in April 2020. Although FDA’s guidance to establish a 3-month deferral period for MSM was a step in the right direction—bringing the United States closer to standards established by other countries such as the United Kingdom and Canada—it does not reflect the latest science. The MSM deferral policy assumes that a male donor—here we assume sex assigned at birth, rather than a person’s gender identity—is ineligible to donate blood if he has had sex with another man any time in the prior 3 months. The donor’s sexual behavior is assumed to be “high risk,” and the donor is categorized into one of several delineated “high-risk groups.” The problem is that the definition of “high risk” sexual behavior is not tied to the prevailing scientific understanding of HIV transmission. Under the FDA’s current regulatory framework, any type of sex (e.g., oral, anal), in any type of relationship (e.g., monogamous, casual), at any frequency (e.g., number of partners, encounters) counts as “high risk.” In addition, sexual behavior is deemed “high risk” without any consideration of the use of prophylactics (e.g., condoms), including biomedical interventions that can prevent contracting HIV by up to 99 percent (e.g., pre-exposure prophylaxis or PrEP). In addition to this blunt assessment of what constitutes “high risk” sexual behavior, the revised 3-month deferral period for MSM appears random. There are some good reasons to move to a 3-month deferral period—other countries have done it successfully and all surveillance data from these other countries indicate good results. But the 3-month time frame lacks a scientific basis. Nucleic acid testing (NAT), a molecular technique for screening blood donations has existed since the late 1990s and early 2000s. NAT reduces the risk of transfusion transmitted infections, and NAT screening can detect infections well within a 3-month period. The window phase—the period where a person infected with a virus may test negative despite being positive—for HIV, hepatitis B, and hepatitis C is 2.93 days, 10.34 days, and 1.34 days, respectively. So how does the sensitivity of screening that is days long, about 10 days at most, turn into a 3-month deferral policy? The answer may be in the policy’s roots. When the FDA first implemented a permanent deferral in 1985, there were good reasons for broad regulations to ensure the safety of the blood supply. At the height of the AIDS epidemic, the world was dealing with an unknown virus that spread in unknown ways. Scientists identified the virus in the early 1980s, and the FDA approved the first test to screen blood donations for HIV in 1985. At the time, exercising extreme caution was the wisest course of action. The story told in 1983—that perpetuating stigma through a discriminatory policy was a necessary cost to ensuring a safe blood supply—is not a story Americans can tell ourselves today. Health professionals never eliminated risk to the blood supply by maintaining the MSM deferral policies because there have always been failures in donor screening and blood screening protocols. At the same time, scientific advancements have made screenings more effective. The United States has implemented Transfusion Transmissible Infections Monitoring Systems to monitor the safety of the U.S. blood supply for a variety of different pathogens, including HIV. Many of the problems associated with blood donation safety, such as donors failing to understand their own sexual risks, are indications of greater failures in other policy arenas. These problems highlight widespread unwillingness to educate the nation about sex, deliver accurate information on sexual risk, and offer helpful ways to mitigate such risk in a culturally appropriate manner. The FDA’s approach came at a cost. The deferral policy generated stigma targeting communities disproportionately affected by the HIV and AIDS epidemic. As it relates to blood donation, HIV stigma animates unfounded, ongoing fear of an unsafe blood supply. This stigma has been memorialized in outdated state and federal laws, which continue to criminalize behaviors that are erroneously thought to risk exposing others to HIV through blood donation. Such laws criminalizing HIV status have not curbed the HIV epidemic and, as the U.S. Centers for Disease Control and Prevention has noted, these HIV-specific laws are largely unsupported by science. Sexual minorities, including gay and bisexual men, communities of color, and those facing intersecting oppressions today stand in the crosshairs of HIV stigma enshrined in law and policy. This is why our nation’s plan to end the HIV epidemic cites stigma as a key barrier to progress. Although not all members of society will agree with each other on what degree of risk is acceptable, it is important to remember that the U.S. calculus, as it relates to the MSM deferral policy, has been flawed historically. To eliminate all HIV-related risks to blood safety, the U.S. must end the HIV epidemic. HIV stigma and gay-related stigma stand in the way of achieving this goal. FDA’s recent shift to a 3-month deferral policy for MSM likely resulted from interest convergence—effective activism by dedicated advocates coupled with the practical realities of a nationwide shortage of blood donations during a global pandemic. This shift demonstrates that the previous restrictions on blood donation were never based on science. Going forward, FDA’s policies must harness truths based on science rather than fear.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,053
score de la tête « metaresearch » (Gemma)0,103
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,053
Score d'incertitude au seuil0,280

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0530,103
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0060,042
Communication savante0,0110,015
Science ouverte0,0030,007
Intégrité de la recherche0,0150,026
Charge utile insuffisante (le modèle a refusé de juger)0,0180,006

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,235
Écart entre enseignants0,213 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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