A Multifaceted Intervention Designed to Improve Medical Management of Moderate to Advanced Chronic Kidney Disease in HIV-Infected Patients: A Cluster Randomized Trial
Bibliographic record
Abstract
BACKGROUND: Chronic kidney disease (CKD) is frequent in individuals infected with human immunodeficiency virus (HIV). Progression to end-stage renal disease can be slowed by appropriate medical management. METHODS: To assess whether active promotion of guidelines improves CKD management, we conducted a cluster randomized controlled trial within the French Hospital Database on HIV (FHDH-ANRS CO4). We randomized 46 centers participating in the FHDH to either simple information on guideline availability or active promotion with a multifaceted and repeated intervention comprising reminders and audit feedback and targeting of local opinion leaders carried out between April 2009 and April 2010. Outcome measure was CKD management adequacy assessed before and 2 years after the beginning of the intervention in HIV-infected patients with moderate to severe CKD. CKD management was considered adequate in case of referral to a nephrologist or if proteinuria, blood pressure, low-density lipoprotein cholesterol level, and glycemia had been measured during the previous year and medications had been prescribed when necessary. RESULTS: Three hundred six patients were enrolled, of whom 238 (78%) completed the 2 years of follow-up. During the study period, the percentage of patients receiving adequate CKD management improved from 64.1% to 70.4% (+6.3%) in the active arm and from 68.3% to 75.6% (+7.3%) in the control arm (adjusted mean difference, -0.7 percentage points [95% confidence interval: -9.2 to 7.9]; P = .95). The biggest impact of active promotion was on the management of proteinuria and blood pressure. CONCLUSIONS: Adequate compliance with CKD management guidelines improved slightly between 2009 and 2011, with no difference between the simple information and active promotion arms. CLINICAL TRIALS REGISTRATION: CCTIRS 10.150 and CNIL DR-2010-379.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".