Disjuncture between self-perceived and clinically assessed risk of HIV among gay, bisexual, and other men who have sex with men in Ontario and British Columbia, Canada
Bibliographic record
Abstract
Abstract Background Self-perceived and clinically assessed HIV risk do not always align. We compared self-perceived and clinically assessed risk of HIV and the reasons for self-perceived low risk of HIV among gay, bisexual, and other men who have sex with men (GBM) from large urban centers in Ontario and British Columbia, Canada. Methods Never PrEP users recruited from sexual health clinics or online, completed a cross-sectional survey between July/2019 and August/2020. We contrasted self-perceived HIV risk against criteria from the Canadian PrEP guidelines and participants were categorized as concordant or discordant. We used content analysis to categorize participants’ free-text explanations for perceived low HIV risk. These were compared with answers to quantitative responses about condomless sex acts and number of partners. Results Of 315 GBM who self-perceived low risk of HIV, 146 (46%) were considered at high risk according to the guidelines. Participants with discordant assessment were younger, had less years of formal education, were more often in an open relationship and were more likely to self-identify as gay. Reasons for self-perceived low HIV risk in the discordant group were condom use (27%), being in a committed relationship/having one main partner (15%), having no or infrequent anal sex (12%) and having few partners (10%). Conclusions There is a disjuncture between self-perceived and clinically assessed risk of HIV. Some GBM may underestimate their HIV risk and clinical criteria may overestimate risk. Bridging these gaps requires efforts to increase HIV risk awareness in the community, and refinement of clinical assessments based on individualized discussions between the provider and the user.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".