Decision making in metoidioplasty and phalloplasty gender-affirming surgery: a mixed methods study
Notice bibliographique
Résumé
BACKGROUND: Gender-affirming surgical procedures, such as metoidioplasty and phalloplasty for those assigned female at birth, are complex and multistaged and involve risks. Individuals considering these procedures experience greater uncertainty or decisional conflict, compounded by difficulty finding trustworthy information. AIM: (1) To explore the factors contributing to decisional uncertainty and the needs of individuals considering metoidioplasty and phalloplasty gender-affirming surgery (MaPGAS) and (2) to inform development of a patient-centered decision aid. METHODS: This cross-sectional study was based on mixed methods. Adult transgender men and nonbinary individuals assigned female at birth at various stages of MaPGAS decision making were recruited from 2 study sites in the United States to participate in semistructured interviews and an online gender health survey, which included measures of gender congruence, decisional conflict, urinary health, and quality of life. Trained qualitative researchers conducted all interviews with questions to explore constructs from the Ottawa decision support framework. OUTCOMES: Outcomes included goals and priorities for MaPGAS, expectations, knowledge, and decisional needs, as well as variations in decisional conflict by surgical preference, surgical status, and sociodemographic variables. RESULTS: We interviewed 26 participants and collected survey data from 39 (24 interviewees, 92%) at various stages of MaPGAS decision making. In surveys and interviews, affirmation of gender identity, standing to urinate, sensation, and the ability to "pass" as male emerged as highly important factors for deciding to undergo MaPGAS. A third of survey respondents reported decisional conflict. Triangulation of data from all sources revealed that conflict emerged most when trying to balance the strong desire to resolve gender dysphoria through surgical transition against the risks and unknowns in urinary and sexual function, appearance, and preservation of sensation post-MaPGAS. Insurance coverage, age, access to surgeons, and health concerns further influenced surgery preferences and timing. CLINICAL IMPLICATIONS: The findings add to the understanding of decisional needs and priorities of those considering MaPGAS while revealing new complexities among knowledge, personal factors, and decisional uncertainty. STRENGTHS AND LIMITATIONS: This mixed methods study was codeveloped by members of the transgender and nonbinary community and yielded important guidance for providers and individuals considering MaPGAS. The results provide rich qualitative insights for MaPGAS decision making in US contexts. Limitations include low diversity and sample size; both are being addressed in work underway. CONCLUSIONS: This study increases understanding of the factors important to MaPGAS decision making, and results are being used to guide development of a patient-centered surgical decision aid and informed survey revision for national distribution.
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 | 0,032 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».