Physician perspectives on gender-affirming care for trans youth
Notice bibliographique
Résumé
Background: Many trans people who seek medical transition, particularly youth, struggle to access care in a timely manner. Frequently, specialized clinics tend serve the majority of the trans population and the capacity of these clinics ends up being overburdened by demand. Yet, the provision of gender-affirming medical care is not beyond the skillset of general practitioners and if more took up prescribing it, access could be improved. Objectives: This study sought to understand physician perspectives on gender-affirming care for trans youth in the hopes that insights into how to encourage more practitioners to take up providing care could be gleaned. The study had two central research questions. 1) What are Canadian physicians’ perceptions, education, and knowledge base surrounding gender-affirming care for youth under the age of 18? 2)How does this differ between knowledgeable physicians who have experience with gender-affirming care and inexperienced physicians who do not? Methodology: An anti-oppressive queer theoretical lens was applied to this study. Individual, semi-structured, in-depth, interviews were conducted with 13 physicians who had a range of experiences providing care for trans patients. The interviews were transcribed and coded for similar themes which constructed the results. Results: Participants discussed a wide range of topics related to gender-affirming care for trans patients, both specific to youth and more general to trans healthcare broadly. Many participants argued, some with direct firsthand experience, that gender-affirming care does not need to be specialized care and can be prescribed, easily, by primary care providers. Many physicians receive little, or no education related to gender-affirming care in medical school. Despite this lack of education several participants became knowledgeable and willing to provide care to trans patients. Knowledgeable physicians frequently shared similar motivations, and accessed similar resources, in order to become willing and able to provide care. Discussion: This study proposes recommendations for improving access to gender-affirming care for trans youth, and trans patients broadly. Improving and implementing education regarding gender-affirming care in medical schools and expanding resources for currently practicing physicians who take on trans patients. As well as framing gender-affirming care to exist within primary care practice.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».