HIV Prevention Counseling Intervention Delivered During Routine Clinical Care Reduces HIV Risk Behavior in HIV-Infected South Africans Receiving Antiretroviral Therapy
Bibliographic record
Abstract
CONTEXT: Sustainable interventions are needed to minimize HIV risk behavior among people living with HIV (PLWH) in South Africa on antiretroviral therapy (ART), a significant proportion of whom do not achieve viral suppression. OBJECTIVE: To determine whether a brief lay counselor delivered intervention implemented during routine care can reduce risky sex among PLWH on ART. DESIGN: Cluster-randomized 16 HIV clinical care sites in KwaZulu Natal, South Africa, to intervention or standard of care. SETTING: Publicly funded HIV clinical care sites. PATIENTS: One thousand eight hundred ninety-one PLWH on ART received the HIV prevention counseling intervention (n = 967) or standard-of-care counseling (n = 924). INTERVENTION: Lay counselors delivered a brief intervention using motivational interviewing strategies based on the Information-Motivation-Behavioral (IMB) Skills model during routine clinical care. MAIN OUTCOME MEASURES: Number of sexual events without a condom in the past 4 weeks with partners of any HIV status, and with partners perceived to be HIV negative or HIV-status unknown, assessed at baseline, 6, 12, and 18 months. RESULTS: Intervention participants reported significantly greater reductions in HIV risk behavior on both primary outcomes, compared with standard-of-care participants. Differences in sexually transmitted infection incidence between arms were not observed. CONCLUSIONS: Effective behavioral interventions, delivered by lay counselors within the clinical care setting, are consistent with the strategy of linking HIV care and HIV prevention and integrating biomedical and behavioral approaches to stemming the HIV epidemic. TRIAL REGISTRATION: Not applicable.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".