2SLGBTQ+ patients’ experiences in the pharmacy in British Columbia, Canada
Bibliographic record
Abstract
Background: Two-Spirit, lesbian, gay, bisexual, transgender, queer, intersex, and additional people who identify as part of sexual and gender diverse communities (2SLGBTQ+) experience worse health outcomes than cisgender heterosexual counterparts. This is attributable to structural oppression within the health care system, which manifests as health care providers' lack of knowledge and training in 2SLGBTQ+ health. Methods: This cross-sectional, mixed-methods survey targeted 2SLGBTQ+ community members 14 and older in British Columbia to understand aspects of pharmacy care in the province. The survey asked participants about their experiences with the pharmacy environment, the pharmacist, and the competencies they thought were most important for pharmacists to provide inclusive care. The survey was disseminated online and live from October 24 to December 18, 2022. Results: After eligibility and exclusions, 195 records were included and analyzed. Some (46.2%) participants found the pharmacy environment inclusive. Half (51.8%) felt their needs as 2SLGBTQ+ people were met by the pharmacist. The most important pharmacist competencies identified were respect, knowledge of 2SLGBTQ+ health, and inclusive language. Participants also shared examples of their pharmacy experiences in free-text comments. Discussion: Despite increasing focus on equity, diversity, and inclusion in health care, there is still a significant gap in pharmacy care related to pharmacist competency, yet there is little progress in systematically training pharmacists on 2SLGBTQ+ competencies. Implementing 2SLGBTQ+ content into pharmacy programs is one approach to ensuring pharmacists are well-prepared to serve 2SLGBTQ+ communities. Conclusion: 2025;158:xx-xx.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".