Desired Elements of HIV Testing Services: Test Recipient Perspectives
Bibliographic record
Abstract
Thematic analysis of transcripts from interviews with a purposive sample of 39 voluntary human immunodeficiency virus (HIV) test recipients in Ontario (selected on the basis of HIV serostatus, risk behaviors, region of residence, gender, and testing format) was used to identify elements of HIV testing services of concern to test recipients. Colleague review was used to ensure dependability of findings, and emergent themes were compared with the existing literature on patient satisfaction. Data analysis identified a comprehensive set of 28 service elements, including components related to access and availability (convenience, physical accessibility, familiarity), structure of the service (privacy, and characteristics of the venue, session, and test provider), technical and medical aspects of the testing process (including blood-taking, file maintenance, obtaining informed consent, waiting period, and manner of result provision), and both cognitive and socioemotional aspects of the interpersonal process (including decision-making support, personalized risk information, receipt of appropriate emotional support, and service referrals). Results suggest that information on, and training in, counseling skills for both physician and nonphysician test counselors is important in the provision of quality testing services. Results also suggest that test recipients would appreciate choice in testing service options, and within the test session, individualized information, and counseling.
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".