Effect of rapid HIV testing on HIV incidence and services in populations at high risk for HIV exposure: an equity-focused systematic review
Bibliographic record
Abstract
OBJECTIVE: To assess the effects of rapid voluntary counselling and testing (VCT) for HIV on HIV incidence and uptake of HIV/AIDS services in people at high risk for HIV exposure. DESIGN: Cochrane systematic review and meta-analysis. DATA SOURCES: We searched PubMed, EMBASE, AIDSearch, LILACS, Global Health, Medline Africa, PsychInfo, CINAHL, Cochrane CENTRAL, Cochrane HIV/AIDS Group Specialized Register and grey literature from 1 January 2001 to 5 June 2014 without language restriction. DATA SELECTION: We included controlled studies that compared rapid VCT with conventional testing among people at risk for HIV exposure. DATA EXTRACTION: Two reviewers extracted data. We used Cochrane risk of bias tool and GRADE criteria: risk of bias, inconsistency, indirectness, imprecision and publication bias. For observational studies we used the Newcastle-Ottawa Scale. We used the PRISMA-Equity reporting guideline. RESULTS: From 2441 articles, we included 8 randomised controlled trials and 5 observational studies. Rapid VCT was associated with a threefold increase in HIV-testing uptake (relative risk (RR)=2.95 95% CI 1.69 to 5.16) and a twofold increase in the receipt of test results (RR=2.14, 95% CI 1.08 to 4.24). Women accepted testing more often than men in rapid VCT arm, but no differences in effect for age or socioeconomic status. Observational studies also showed rapid VCT led to higher rates of uptake of testing. Heterogeneity was high. A cluster-randomised trial reported an 11% reduction in HIV incidence in intervention communities (RR=0.89, 95% CI=0.63 to 1.24) over 3 years trial. CONCLUSIONS: Rapid VCT in health facilities and communities was associated with a large increase in HIV-testing uptake and receipt of results. This has implications for WHO guidelines. The routine use of rapid VCT may also help avoid human rights violations among marginalised populations where testing may occur without informed consent and where existing stigma may create barriers to testing.
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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 | 0.021 | 0.066 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.019 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".