Assessing uptake of national HIV screening and testing guidance—Part 2: Knowledge, comfort and practice
Bibliographic record
Abstract
BACKGROUND: (the Guide) provides guidance to health care providers regarding who, when and how often to screen for HIV. HIV screening and testing is important in meeting the Joint United Nations Programme on HIV/AIDS' (UNAIDS) 90-90-90 targets towards HIV elimination. OBJECTIVE: To determine health care providers' levels of knowledge about and comfort with aspects of HIV testing, and to determine whether their HIV testing practices are consistent with the recommendations in the Guide. METHODS: An open, anonymous online survey that included questions on knowledge, comfort and HIV testing practices was developed with stakeholders, validated and pre-tested. It was then disseminated to a convenience sample of health care providers across Canada between June and August 2016. RESULTS: A total of 1,075 participants representing all Canadian provinces and territories responded to the survey, with the majority being nurses (54%) and physicians (12%). Overall, knowledge related to HIV testing was substantial, but 37% of respondents underestimated the percentage of people living with HIV in Canada who are unaware of their HIV status and only 32% of respondents knew that HIV patients are frequently symptomatic during the acute infection. Most participants were comfortable with HIV testing and approximately 50% reported offering HIV testing regularly. CONCLUSIONS: , some health care providers may underestimate the magnitude of undiagnosed HIV cases in Canada and may misinterpret the symptoms of acute HIV infection. While the amplitude of these results need to be interpreted in light of the convenience sample, addressing these knowledge gaps may facilitate earlier diagnosis of HIV among those who are unaware of their HIV status.
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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".