Care cascade structural intervention versus standard of care in the diagnosis and treatment of HIV in China: a cluster-randomized controlled trial protocol
Bibliographic record
Abstract
BACKGROUND: The high rate of attrition along the care cascade of infection with human immunodeficiency virus (HIV) results in lost opportunities to provide timely antiretroviral therapy (ART) and to prevent unnecessarily high mortality. This study aims to assess the effectiveness of a structural intervention, the one-stop ("One4All") strategy that streamlines China's HIV care cascade with the intent to improve testing completeness, ART initiation, viral suppression, and mortality. METHOD: A two-arm, cluster-randomized controlled trial was implemented in twelve county hospitals in Guangxi China to test the effectiveness of the One4All strategy (intervention arm) compared to the current standard of care (SOC; control arm). The twelve study hospitals were selected for homogeneity and allocated one-to-one to the intervention and control arms. All patients screening HIV positive in study hospitals were enrolled. Target study enrollment was 180 participants per arm, 30 participants per hospital. Basic demographic information was collected as well as HIV risk behavior and route of infection. In intervention hospitals, patients then went on to receive point-of-care CD4 testing and in-parallel viral load (VL) testing whereas patients in control hospitals progressed through the usual SOC cascade. The primary outcome measure was testing completeness within 30 days of positive initial HIV screening result. Testing completeness was defined as receipt of all tests, test results, and post-test counseling. The secondary outcome measure was ART initiation (receipt of first ART prescriptions) within 90 days of positive initial HIV screening result. Tertiary outcome measures were viral suppression (≤200 copies/mL) and all-cause mortality at 12 months. DISCUSSION: We expect that this first-ever, cluster-randomized controlled trial of a bundle of interventions intended to streamline the HIV care cascade in China (the One4All strategy) will provide strong evidence for the benefit of accelerating diagnosis, thorough clinical assessment, and ART initiation via an optimized HIV care cascade. We furthermore anticipate that this evidence will be valuable to policymakers looking to elevate China's overall HIV/AIDS response to meet the UNAIDS 90-90-90 targets and the broader, global goal of eradication of the HIV/AIDS epidemic. TRIAL REGISTRATION: ClinicalTrials.gov # NCT02084316 . (Registered on March 7, 2014).
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".