Factors associated with repeat visits among clients attending a clinic for sexually transmitted infections in Kisumu, Kenya
Bibliographic record
Abstract
To identify factors associated with repeat visits among patients attending a clinic for sexually transmitted infections (STIs) in Kisumu, Kenya, we examined records of clinic visits from March 2009 to May 2010. Multivariable logistic regression identified factors associated with repeat visits occurring >30 days after the initial visit. Among 1473 clients (1296 single-visit individuals versus 177 individuals with repeat visits), the median age was 24 years, 67% were men and 8.6% self-reported being HIV-positive. In adjusted analyses, men with repeat visits were more likely to report ≥ 2 recent sexual partners (adjusted odds ratio [aOR] = 1.60) and being HIV-positive (aOR = 2.35). They were less likely to have been referred from other health facilities (aOR = 0.14) and more likely to have urethral discharge at their initial visit (aOR = 2.46). Among women, repeat visits were associated with vaginal discharge (aOR = 2.22), but attending the clinic with a partner was protective (aOR = 0.38). The association between sexual risk, HIV positivity and repeat visits among male clients highlights the need to focus intervention efforts on this group. For women, attending with a partner may reflect a decreased risk of re-infection if both partners are treated and counselled together.
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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 | 0.004 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".