Using focus groups to inform a peer health navigator service for people who are transgender and gender diverse in Saskatchewan, Canada
Bibliographic record
Abstract
BACKGROUND: This study investigated healthcare access and quality for people who are transgender and gender-diverse (PTGD) in Saskatchewan (SK), Canada, to inform a larger project that was piloting two peer health navigators for PTGD. METHODS: Two online focus groups were held. Nineteen participants were recruited to represent a broad range in age, gender and location in SK. Transcripts of the focus groups were analyzed using a thematic approach. RESULTS: The core theme that was identified was participants' desire for culturally safe healthcare. This core theme had two component themes: (1) systemic healthcare factors and (2) individual healthcare provider (HCP) factors. The healthcare system primarily acted as a barrier to culturally safe healthcare. HCPs could be either barriers or facilitators of culturally safe care; however, negative experiences outweighed positive ones. CONCLUSIONS: PTGD in SK face discrimination, with delays and barriers to care at all levels of the healthcare system. Peer health navigators can address some of these discrepancies; however, greater support is required for PTGD to be able to access culturally safe healthcare. PATIENT OR PUBLIC CONTRIBUTION: People with lived experience/PTGD were involved in all stages of this project. They were included on the team as community researchers and co-developed the research project, conducted the focus groups, participated in the analyses and are co-authors. As well, both navigators and all the participants in the focus groups were also PTGD.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".