Social‐ecological barriers and facilitators to seeking inpatient psychiatric care among transgender and nonbinary people: A qualitative descriptive study
Bibliographic record
Abstract
AIM(S): To assess barriers and facilitators to seeking inpatient psychiatric treatment among transgender and nonbinary people. DESIGN: Qualitative interview study. METHODS: Semi-structured interviews were conducted from March 2019 to June 2022 with transgender and nonbinary people admitted to an inpatient psychiatric hospital in the United States during the past 5 years. Data were analysed using thematic analysis and constructed within a modified social-ecological model of stigma. Standards for Reporting Qualitative Research were used for this study. RESULTS: Participants (N = 15) described barriers and facilitators across all three social-ecological levels. i) Individual themes included distrust of the mental healthcare system, feeling unsafe, loss of autonomy, minimizing one's own mental health needs, and feelings of accountability to others. ii) Interpersonal themes included: lack of support for transgender/nonbinary identity, limited transgender/nonbinary knowledge among mental healthcare professionals, and allyship. iii) Structural themes included: carceral setting, financial costs, and availability of non-profit treatment options. CONCLUSION: Multi-level themes were identified as barriers and facilitators to seeking inpatient psychiatric care for transgender and nonbinary people, providing opportunities among inpatient settings to improve care delivery and engagement. Greater health equity can be achieved by addressing barriers to care. IMPLICATIONS: Incorporating inclusive and affirming practices in inpatient psychiatric services presents an opportunity to reduce barriers to seeking care. IMPACT: The present study describes the experiences of transgender and nonbinary people as they determine whether to voluntarily seek inpatient psychiatric treatment. This perspective allows nurses, health systems, and policymakers to integrate transgender and nonbinary people's needs to improve healthcare delivery. PATIENT/PUBLIC CONTRIBUTION: Transgender and nonbinary participants were recruited in collaboration with community organizations. Members of the transgender and nonbinary community participated in study design development and analysis and were part of the study team.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".