Perspectives on digital testing services for sexually transmitted and blood-borne infections from Two-Spirit, gay, bisexual, transgender, and other queer Black, Indigenous, people of colour living in Ontario, Canada
Bibliographic record
Abstract
OBJECTIVES: Increased sexually transmitted and blood-borne infections (STBBI) testing can reduce the burden of disease among Two-Spirit, gay, bisexual, transgender, and other queer Black, Indigenous, people of colour (2SGBTQ+ BIPOC). However, this population encounters barriers, such as discrimination, when accessing in-person STBBI testing services. Digital STBBI testing, such as self-testing/collection kits ordered online and digital requisitions, may address some of these barriers. Our aim was to understand acceptability of free digital STBBI testing among 2SGBTQ+ BIPOC living in Ontario, Canada. DESIGN: We approached this analysis using Implementation Science and Critical Race Theory. We conducted interviews and focus groups with 21 2SGBTQ + BIPOC individuals from 2020-2021. Participants were asked about their perceptions of the benefits and drawbacks of digital STBBI testing, populations that would benefit from using these services, and recommendations for how these services may be implemented in Ontario. Interviews and focus groups were transcribed verbatim and analyzed using reflexive thematic analysis. RESULTS: Six themes emerged. Digital STBBI testing services: (1) May reduce oppression experienced by 2SGBTQ + BIPOC when testing in-person; (2) Should address the unique needs that 2SGBTQ + BIPOC experience due to other intersecting identities they possess; (3) Should adapt their services to suit the varying cultural contexts and living circumstances of 2SGBTQ + BIPOC; (4) Should be accessible to 2SGBTQ + BIPOC who hold diverse or no documentation; (5) Should be offered in multiple languages; (6) May be inaccessible to those without Internet access or devices. CONCLUSION: Digital STBBI testing is one strategy that may reduce discrimination experienced by 2SGBTQ + BIPOC when getting tested in-person. However, digital STBBI testing services may not address all the needs of 2SGBTQ + BIPOC. Racism and other forms of oppression embedded into in-person and digital testing services will need to be addressed to meet the needs of this diverse population.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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".