Factors associated with retention in HIV prevention and treatment clinical services among female sex workers enrolled in a sex workers’ outreach program (SWOP) in Nairobi, Kenya.
Bibliographic record
Abstract
Abstract Female sex workers (FSWs) are among the key populations (KP) prioritized for comprehensive HIV programming in Kenya. Retention in the program is critical for prevention of HIV acquisition and transmission among FSWs and their sexual partners. We conducted a retrospective cohort analysis of data collected from FSWs enrolled between October 2016 and September 2017 at seven drop-in centers (DICs) in Nairobi, Kenya, to examine retention in HIV prevention and treatment services and identify the associated factors. We found a 3- and 12- month retention of 24% and 17%, respectively. FSWs aged 20-34 years old were less likely to be retained compared to those 50 years or older. FSWs enrolled in a DIC located in their sub-county of residence or reporting ever using HIV pre- or post-exposure prophylaxis were more likely to be retained. Identifying predictors of FSWs disengagement from HIV services can inform the design and implementation of retention-enabling interventions.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".