Characteristics of Those Who Repeatedly Acquire Sexually Transmitted Infections
Bibliographic record
Abstract
BACKGROUND: Individuals who repeatedly acquire sexually transmitted infections (STIs) may facilitate the persistence of disease at endemic levels. Identifying those most likely to become reinfected with an STI would help in the development of targeted interventions. GOAL: To investigate the demographic and behavior characteristics of sexually transmitted disease (STD) clinic patients most likely to reattend with an STI. STUDY DESIGN: The proportion of patients attending three STD clinics in England between 1994 and 1998 who reattended for treatment of acute STI within 1 year was estimated from Kaplan-Meier failure curves. A Cox proportional hazard model was used to investigate the relation between rate of reattendance with an acute STI and patient characteristics. RESULTS: Of the 17,466 patients presenting at an STD clinic with an acute STI, 14% reattended for treatment of an STI within 1 year. Important determinants of reinfection were age, sexual orientation, and ethnicity: 20% of 12- to 15-year-old females (adjusted hazard ratio [HR], 1.90; CI, 1.13-3.18, compared with 20- to 24-year-old females), 22% of homosexual men (adjusted HR, 1.30; CI, 1.07-1.58, compared with heterosexual men), and 25% of black Caribbean attendees (adjusted HR, 1.87; CI, 1.63-2.13, compared with whites) reattended for treatment of acute STI within 1 year. In addition, 21% of those with a history of STI (adjusted HR, 1.42; CI, 1.28-1.59, compared with those with no history of STI) and 17% of individuals reporting three or more partners in the recent past (adjusted HR, 1.53; CI, 1.34-1.73, compared with those with one partner) reattended for treatment of an acute STI within 1 year. CONCLUSIONS: In this STD clinic population, teenage females, homosexual men, black Caribbean attendees, individuals with a history of STI, and those reporting high rates of sexual partner change repeatedly re-presented with acute STIs. Directing enhanced STD clinic-based interventions at these groups may be an effective strategy for STI control.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".