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Record W3022320635 · doi:10.1210/jendso/bvaa046.2153

SUN-LB14 Trans and Non-Binary Youth Accessing Gender Affirming Medical Care in Canada: New Research From the Trans Youth CAN!

2020· article· en· W3022320635 on OpenAlexaffabout
Arati Mokashi, Margaret L. Lawson, Sandra Gotovac, Greta R. Bauer

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsWestern UniversityChildren's Hospital of Eastern OntarioDalhousie University
Fundersnot available
KeywordsSuicidal ideationMedicineDistressGender dysphoriaPsychologyTransgenderPsychiatryClinical psychologyPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

Abstract Little is known about youth accessing gender-affirming care in Canada. Trans Youth CAN! is a prospective 24-month cohort study of youth referred for puberty suppression/gender affirming hormones, examining pathways to care, medical, social, and family outcomes. Eligible participants were pubertal, aged <16, naïve to puberty blockers/cross-sex hormones, and recruited at their first endocrine appointment, along with their parent/caregiver (P/C), from clinics in 10 Canadian cities. Baseline sociodemographic, health, and family data were collected from interviewer-assisted youth surveys, self-completed (P/C) surveys, and clinic medical records. Youth data included day-to-day discrimination (InDI-D), depression, (MDS), psychological distress (Kessler-6), gender distress (TYC-GDS), gender positivity (TYC-GPS), and P/C support (self-report by youth and P/C). Pathways to accessing gender-affirming medical care included wait times, prior providers seen, length of time seeking care, and age accessing care. P/C data included parental conflict and consideration/involvement in conversion therapy. Baseline data were collected from 09/2017 to 06/2019 on 174 youth and 160 P/Cs. 78.7% of youth were assigned female at birth. 8.1% of those assigned female at birth, and 8.3% of those assigned male at birth, reported a primarily non-binary identity. 25.7% of youth had one or more immigrant P/Cs; 20.5% were Indigenous; and 15.5% were from rural areas. In the past year, 52.9% of youth reported engaging in self-harm, 32.6% had suicidal ideation, and 13.8% had attempted suicide. Bivariate correlations showed that longer wait times were associated with being older when youth first spoke to someone about their gender, seeing more provider types before first endocrine appointment, P/C report of time spent seeking hormone treatment, and lifetime discrimination. Youth with higher current P/C support were younger at their first appointment. Older youth at first appointment had also been older when they first met with someone outside the family about their gender, and had spent a longer time seeking hormone treatment. These youth also had higher gender distress, lower gender positivity, higher psychological distress, higher depression, experienced higher lifetime and past-year discrimination, and had lower average P/C support. P/Cs reported 8.8% of youth had participated in conversion therapy, while an additional 9.7% had considered having their youth participate. Current or past parental conflict about youths’ gender identity was reported by 40.1%, but was not associated with age of accessing care, types of providers seen, length of time accessing care, or age at first appointment. This research will help fill gaps in knowledge for health care providers about youth accessing gender affirming medical care, enhancing gender-affirming care and support for these youth and their parents/families.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.007
Science and technology studies0.0100.001
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.164
GPT teacher head0.374
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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