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Record W4412799089 · doi:10.1080/26895269.2025.2537875

Barriers and facilitators influencing access to primary eye care among transmasculine individuals in Canada: A qualitative analysis

2025· article· en· W4412799089 on OpenAlexaboutno aff
Molly Brawdy, Ethan Wohlgemuth, Lisa Christian

Bibliographic record

VenueInternational Journal of Transgender Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careQualitative researchQualitative analysisMedicinePsychologyFamily medicineSociology

Abstract

fetched live from OpenAlex

Background In Canada, transmasculine individuals may face unique barriers when accessing eye care which can lead to a delayed diagnosis and treatment of potentially serious conditions such as idiopathic intracranial hypertension (IIH).Purpose The purpose of this study was to identify barriers and facilitators to accessing eye care among transmasculine individuals in Canada. The findings aim to inform eye care providers regarding the provision of safe and affirming eye care for transgender patients.Methods An 8-item anonymous online survey was distributed through LGBTQIA+ community organizations in Canada. Inclusion criteria included individuals who identified as transmasculine and who were currently taking or had previously taken testosterone as part of gender-affirming care. Content themes were identified and independently confirmed.Results 49 participants were included in the analysis. The most common barrier to accessing eye care was lack of government financial assistance and/or lack of private insurance coverage. The most common facilitator to accessing care was an overtly gender affirming space.Conclusion While many case reports have suggested a link between testosterone gender-affirming therapy and IIH, further research is needed to determine the prevalence, incidence, and risk on an individual and population level. Optometry is well-poised to lead this research, but further action is needed within the profession to ensure transmasculine individuals can access eye care without barriers.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.262
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.414
Teacher spread0.383 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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