Opt-out universal HCV and HIV screening in a Canadian emergency room: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVES: To determine the prevalence of undiagnosed hepatitis C virus (HCV) and HIV cases in a population sample tested in the emergency room (ER) and to evaluate linkage-to-care. SETTING: Canadian university hospital. PARTICIPANTS: Adults born after 1945 who consulted at ER for any condition and on any shift were included. Patients unable to opt-out were excluded. INTERVENTIONS: ER nurse confirmed patients' eligibility and provided them with the option to opt-out. A physician met patients with a new diagnosis. Linkage-to-care was assessed 3 months postdiagnosis. Patients newly diagnosed with HCV were considered linked if they had an HCV RNA test, genotype, liver fibrosis evaluation, and if indicated, treatment prescription. Patients newly diagnosed with HIV were considered linked to care if they had an HIV serology confirmation test, viral load, CD4 cell count and started antiretroviral therapy. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary objective: to determine the prevalence (overall and undiagnosed cases) of HIV and HCV among the patients who consult the ER. Secondary objectives: to determine the proportion of patients who opt-out, assess the adherence of emergency staff to the offer of testing, determine the proportion of patients linked to care at 3 months. RESULTS: Among 6350 eligible patients informed of the screening programme, 62.1% of patients were tested for at least one virus (HIV: 3905; HCV: 3910). 25% patients opted-out, 12% were not tested for organisational reasons, 0.3% (18) patients were HCV-HIV coinfected. Overall prevalence of HCV and HIV cases were 1.9% and 1.2%, respectively. Prevalence of new cases was 0.23% (95% CI 0.12% 0.45%) for HCV and 0.05% (95% CI 0.01% to 0.20%) for HIV. Among the new cases, only two HCV-infected and one HIV-infected patients were linked-to-care 3 months postdiagnosis. CONCLUSIONS: Identification of new cases of HCV and HIV through universal screening at the ER and linkage-to-care were both low. TRIAL REGISTRATION NUMBER: NCT03595527; Results.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".