Cascade of HIV Prevention, Care, and Treatment Services in Morocco in 2019
Bibliographic record
Abstract
Background The HIV care cascade is a way to show the proportion of people living with HIV (PLHIV) engaged at each stage of HIV care. Analyzing an HIV testing, care, and treatment cascade provides a framework for evaluating and improving service delivery. Objective The objective of this study is to analyze the continuums of HIV prevention, care, and treatment services at the national level in Morocco for the period 2015-2019. Methods This is a retrospective study concerning the reference centers for HIV care in Morocco carried out in 2019. Three types of cascades of HIV prevention and care were studied: a transversal cascade at the national level (2019), a longitudinal cascade for newly diagnosed PLHIV (between 2015 and 2017), and a cascade of prevention of mother-to-child transmission of HIV (PMTCT) among pregnant women (2016-2017). Results For the transversal cascade of the year 2019, the objectives of the three 90s were achieved except for the 1st 90 with a difference of 12%. For the longitudinal cascade after the start of treatment between 2015-2017, retention under treatment at 48 months was 83.3%, at 36 months was 83.8%, and at 24 months 91.0%. The 48-month loss to follow-up rate was 12.5%; 7.0% at 36 months; and 4.0% at 24 months. More than 90% of PLHIV started antiretrovirals within 3 months of diagnosis. The 2016-2017 PMTCT cascade conducted on 13 pregnant women according to available data indicated the absence of transmission of HIV from mothers to their children. Conclusions Our 2019 HIV cascade study demonstrated several successes. The achievement of the three 90s except for the first objective (of people who know their status), good retention of PLHIV in long-term treatment, and the success of PMTCT especially since Morocco aims to validate the elimination of mother-to-child transmission.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".