Evolving Failures in the Delivery of Human Immunodeficiency Virus Care: Lessons From a Ugandan Meningitis Cohort 2006–2016
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background Because of investments in human immunodeficiency virus (HIV) care in sub-Saharan Africa, the number of people aware of their status and receiving antiretroviral therapy (ART) has increased; however, HIV/acquired immune deficiency syndrome (AIDS) mortality still remains high. Methods We performed retrospective analysis of 3 sequential prospective cohorts of HIV-infected Ugandan adults presenting with AIDS and meningitis from 2006 to 2009, 2010 to 2012, and 2013 to 2016. Participants were categorized as follows: (1) unknown HIV status; (2) known HIV+ without ART; (3) known HIV+ with previous ART. We further categorized 2006 and 2013 cohort participants by duration of HIV-status knowledge and of ART receipt. Results We screened 1353 persons with suspected meningitis. Cryptococcus was the most common pathogen (63%). Over the decade, we observed an absolute increase of 37% in HIV status knowledge and 59% in antecedent ART receipt at screening. The 2006 cohort participants were new/recent HIV diagnoses (65%) or known HIV+ but not receiving ART (35%). Many 2013 cohort participants were new/recent HIV diagnoses (34%) and known HIV+ with <1 month ART (20%), but a significant proportion were receiving ART 1–4 months (11%) and >4 months (30%). Four percent of participants discontinued ART. From 2010 to 2016, meningitis cases per month increased by 33%. Conclusions Although improved HIV screening and ART access remain much-needed interventions in resource-limited settings, greater investment in viral suppression and opportunistic infection care among the growing HIV-infected population receiving ART is essential to reducing ongoing AIDS mortality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it