High Acceptability of HIV Self-Testing among Technical Vocational Education and Training College Students in Gauteng and North West Province: What Are the Implications for the Scale Up in South Africa? - Spreadsheet of minidataset for TVET colleges
Bibliographic record
Abstract
BackgroundAlthough HIV self-testing (HIVST) is globally accepted as an important complement to existing HIV testing approaches, South Africa has lagged behind in its adoption. As a result, data on the acceptability and uptake of HIVST testing is limited. The study investigated the acceptability of HIVST among students in Technical Vocational Education and Training (TVET) colleges in two provinces in South Africa.MethodsA cross-sectional survey using a self-administered structured questionnaire was used to collect data among 3,662 students recruited from 13 TVET colleges.ResultsThe mean age of the students was 21.9 years. The majority (80.9%) were sexually active; while 66.1% reported that they had one sexual partner, and 33.9% had two or more sexual partners in the past year, and66.5% used condoms during the last sexual act. Three-quarters tested for HIV in the past year but less than half knew about HIVST prior to the survey. The acceptability of HIVST was high; about three-quarters showed a willingness to purchase a self-test kit and a majority would self-test with partners. Acceptability of HIVST was associated with being sexually active (OR = 1.73, p = 0.02, confidence interval (CI): 1.08–2.75), having ever been tested for HIV (OR = 1.74, p = 0.001, CI: 1.26–2.38), and having multiple sexual partners (OR = 0.61, p = 0.01, CI: 0.42–0.88). Three-quarters would confirm test results at a local health facility. In terms of counselling, telephone hotlines were acceptable to only 39.9%, and less than half felt that test-kit leaflets would provide sufficient information to self-test.InterpretationsThe high acceptability of HIVST among the students calls for extensive planning and preparation for the scaling up of HIVST in South Africa. In addition, campaigns similar to those conducted to promote HIV counselling and testing (HCT) should be considered to educate communities about HIVST.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".