Characteristics of Transgender Individuals With Emergency Department Visits and Hospitalizations for Mental Health
Bibliographic record
Abstract
OBJECTIVE: Transgender individuals experience significant oppression resulting in mental health disparities. Factors associated with their need for acute mental health care are unknown. This study compared characteristics of transgender individuals who presented for acute mental health care with population-based comparison samples. METHODS: This cross-sectional study examined transgender individuals who had a mental health-related emergency department (ED) visit (N=728) or hospitalization (N=454). Transgender individuals were identified, and their data were linked with health administrative data. The transgender ED and hospitalization samples were each compared with two samples: all individuals in Ontario who had an ED visit or hospitalization (unmatched) and individuals matched on age, region of residence, and mental health care utilization history. Individuals' sociodemographic and clinical factors were compared. RESULTS: After matching, transgender individuals in the ED sample were more likely than those in the comparison group to be in the lowest neighborhood income quintile (37% versus 27%) and the highest residential instability quintile (47% versus 38%) and to be diagnosed as having a mood (26% versus 19%) or personality disorder (4% versus 1%). Transgender individuals in the hospitalization sample were more likely to be in the lowest neighborhood income quintile (36% versus 27%) and the highest residential instability quintile (45% versus 35%) and to be diagnosed as having a mood (40% versus 35%) or personality disorder (5% versus 2%). CONCLUSIONS: Transgender individuals who accessed acute mental health care had unique sociodemographic and clinical factors associated with their presentation that persisted after matching. More research into the factors associated with their acute care presentation is warranted, including how experiences of marginalization play a role.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".