HIV Testing And Counseling: Test Providers' Experiences of Best Practices
Bibliographic record
Abstract
Although education is central to HIV testing and counseling, little is known about the educational processes within the testing experience. This study investigated test providers' understandings of testing and counseling best practices. Interviews with a purposive sample of 24 test providers were thematically analyzed. Analysis revealed five best practices specific to HIV education and public health--ensuring information and education for HIV risk reduction, individualization of risk assessment, ensuring test results are given in person, providing information and referrals, and facilitating partner notification--and six practices not specific to HIV counseling relationship building. The latter were building trust and rapport; maintaining professional boundaries; ensuring a comfortable, safe environment; ensuring confidentiality; imparting nonjudgmntal attitude; and self-determination. The identified best practices demonstrated remarkable consistency across respondent subgroups. Although counseling was seen as largely educational and with a preventive focus, it included individualized messages based on assessments of risk, knowledge, and social and cultural characteristics.
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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 | 0.019 | 0.068 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".