The changing use and program costs of HIV-related laboratory testing over 20 years in an HIV cohort
Bibliographic record
Abstract
PURPOSE OF REVIEW: The improved health of persons with HIV (PWH) resulting from antiretroviral therapy (ART) has led to recommendations for reduced laboratory monitoring. We studied, for all PWH in care over 20 years at the Southern Alberta Clinic (SAC), Canada, the changing use and results of HIV-specific laboratory testing [i.e., CD4+ testing, plasma HIV viral load (PVL), and genotypic antiretroviral resistance testing (GART)].In this descriptive retrospective longitudinal cohort observational study, we examined HIV-specific laboratory testing for all PWH from 2000 to 2020 within the context of HIV-related health outcomes, program costs, and mortality. RECENT FINDINGS: The number of PWH in care increased from 755 in 2000 to 2050 in 2020. Annual CD4+ testing per PWH increased from 2.7 per person in 2000 peaking to 3.5 in 2005 but decreasing to 1.4 by 2020. Annual PVL tests per PWH gradually decreased from 3.2 in 2000 to 2.0 in 2020. GART increased from 93 tests in 2000 to 315 in 2008 decreasing to 127 in 2020. Patients received GART at baseline, and after a viral breakthrough when indicated. Viral suppression rates for the population increased from 66 to 96%; median CD4+ cell count increased from 443 to 470 cells/μl, and overall morbidity decreased from 9.2 to 2.0% by 2020, respectively. Annual per patient laboratory costs decreased from a high of $302 in 2008 to $161 by 2020. SUMMARY: The reduced annual laboratory surveillance per PWH associated with modern ART resulted in modest cost savings and no apparent loss in quality of HIV care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".