Transgender and Gender Diverse People's Experiences of Acute and Post-Discharge Mental Healthcare in Ontario: A Mixed Methods Study
Notice bibliographique
Résumé
Introduction: Transgender (trans) and gender diverse (TGD) people experience significant oppression, which can translate into greater risk of mental disorders and need for acute mental healthcare, i.e. mental health hospitalizations and emergency department (ED) visits. Early post-discharge care can reduce negative health outcomes following acute care presentations. The aim of this study was to understand TGD people’s experiences of acute and post-discharge mental healthcare. Objectives: 1) To compare characteristics of TGD and non-TGD individuals accessing acute mental healthcare 2) To compare physician visits following discharge from acute psychiatric care (mental health-related ED visits or hospitalizations) between TGD and non-TGD individuals 3) To explore the lived experiences of TGD people accessing acute mental healthcare and understand their post-discharge journeys 4) To integrate the qualitative and quantitative data to explain the quantitative results Methods: A sequential explanatory mixed methods study was conducted. First, a retrospective population-based cohort study used linked health administrative data to examine psychiatric patients discharged from an ED visit or hospitalization in Ontario, Canada. TGD individuals were identified and their data linked with health administrative data. Sociodemographic and clinical factors associated with the TGD ED and hospitalization samples were examined. Multivariable logistic regression analyses examined outpatient mental health physician follow-up within 30 days of discharge. The quantitative results guided the subsequent qualitative study design and data generation plan. TGD people living in Toronto, Ontario, who have experienced acute mental healthcare (n = 15) were recruited for the qualitative study. In-depth individual interviews were conducted, transcribed, and analyzed using constructivist grounded theory. Quantitative and qualitative results were integrated and presented together. Results: From the retrospective cohort study, TGD individuals presenting for acute psychiatric care had increased measures of socioeconomic marginalization and were more likely to be diagnosed with a mood or personality disorder, and less likely a substance-related disorder. TGD individuals had increased 30-day post-ED follow-up (adjusted OR=1.21), but reduced 30-day follow-up post-hospitalization (aOR=0.81). The quantitative findings informed the qualitative study’s semi-structured interview guide and the purposive sampling strategy. A qualitative theory explaining the quantitative findings was co-constructed with the qualitative study participants. Participants described how chronic minority stress (developmental trauma, physical disability, neurodivergence, and marginalization) and inability to access care led to presenting to ED as one of few remaining doors to needed care. Autonomy, safety, and usefulness around the acute care experience influenced their decision post-discharge to 1) engage in care within the formal system, 2) prefer community care, or 3) avoid the system altogether. Participants offered explanations for each quantitative finding that are presented in joint displays with illustrative quotes and themes. Conclusions: TGD individuals who use acute mental healthcare have experienced greater marginalization and are more likely to follow up with mental healthcare after discharge from the ED but less likely to follow up after hospitalization, which is explained by transphobic experiences during hospitalization. Hospital staff and policies need to prioritize autonomy and address systemic transphobia to support access to care. Integrating TGD-specific community organizations into acute mental health services may help address the needs of TGD individuals more holistically.
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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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,008 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 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 ».