The experience of youth on the waitlist for gender-affirming care in Manitoba
Bibliographic record
Abstract
Objectives: Waitlist times for adolescents to be seen for initial assessment for gender-affirming hormone therapy in Manitoba, Canada are often 2 years. The purpose of this study was to understand the experiences of waitlisted youth and to assess the impact of social work contact for accessing relevant resources. Methods: A qualitative, semi-structured interview study was conducted. Youth aged 14 to 17 years on the provincial transgender clinic waitlist for 12 to 24 months for gender-affirming hormone therapy assessment and their caregivers were recruited. Eight youth and nine caregivers were interviewed. Separate interviews were conducted for youth and their caregivers. All interviews were virtual, recorded, and transcribed prior to thematic analysis. Results: Three themes and eight subthemes were identified. Youth (n = 8) and caregivers (n = 9) described barriers to supported transition in the following three themes: (1) 'In a Black Hole': Describing the lack of communication, relevant resources, and mental health supports, (2) 'Structural Transphobia': A summary term outlining the attitudinal, technological, physical, and architectural barriers faced by the participants, and (3) 'Manitoba: An Information Desert': describing the systemic barriers faced including lack of knowledgeable providers and reliable information within the province. Conclusions: Although delays in gender-affirming therapy were noted, youth socially transitioned and accessed existing resources. However, mental health concerns persisted, and participants felt frustrated and unsupported during their extensive wait times. Improved experiences may be achieved by additional communication from the clinic, hands-on assistance with accessing relevant resources, and an improved online presence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".