Heteronormativity and cisgenderism in medical training: A scoping review of lesbian, gay, bisexual, transgender, queer and plus (LGBTQ+) issues in medical training in Asia
Notice bibliographique
Résumé
Lesbian, gay, bisexual, transgender, queer and plus (LGBTQ+) related health concerns in medical training have historically been underrepresented or largely omitted. This review goes beyond the Global North and is one of the first scoping reviews to take a regional approach to understanding LGBTQ+ issues in medical training in Asia, a region that millions of LGBTQ+ people call home. A scoping review of peer-reviewed articles published from 2000 to 2024 on LGBTQ+ issues in medical training (including medical, nursing and dentistry) in Asia was conducted. A diversity of attitudes towards LGBTQ+ issues were found among medical, dental, and nursing students. Negative attitudes, especially pathologization of LGBTQ+ people, were still evident. Despite receiving inadequate training from their medical curriculum, students generally showed a strong eagerness to learn more about LGBTQ+ healthcare to know how to act professionally. Although LGBTQ+ students perceived a supportive environment among their peers, there were constant worries about how they were perceived as doctors by attending physicians and patients. Medical, dental, and nursing educators in the identified studies had minimal knowledge of LGBTQ+ issues and limited experience working with LGBTQ+ patients. Articles found that LGBTQ+ issues were lacking in the formal medical curriculum, with very little consideration beyond strictly biomedical concerns. Importantly, this paper debunks the idea that Asia is uniformly negative and conservative on LGBTQ+ issues, highlights the importance of regionally and culturally specific factors in understanding the medical training environment, and provides suggestions for practice and further research. Altogether, this paper argues that there is an urgent need and a substantial opportunity to make medical training in Asia more LGBTQ+ inclusive. • Some medical, dental, and nursing students in Asia hold pathologizing views of LGBTQ+ people and patients. • Medical, dental, and nursing educators in Asia have little knowledge about LGBTQ+ issues and some hold prejudices. • Medical, dental, and nursing students in Asia receive inadequate training about LGBTQ+ issues. • Medical, dental, and nursing students in Asia show a strong eagerness to learn about LGBTQ+ healthcare. • There is an urgent need and significant opportunity to make medical training in Asia more LGBTQ+ inclusive.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,003 |
| Bibliométrie | 0,012 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».