Chlamydia Screening Strategies and Outcomes in Educational Settings
Bibliographic record
Abstract
Chlamydia trachomatis (CT) screening programs have been established in educational settings in many countries during the past 2 decades. However, recent evidence suggests that high uptake of screening and management (treatment, partner notification, and retesting for reinfection) improves program effectiveness. We conducted a systematic review to understand the screening strategies, the extent of screening conducted, and uptake of management strategies in educational settings. Screening studies in educational settings were identified through a systematic search of published literature from 2005 to 2011. We identified 27 studies describing 30 screening programs in the United States/Canada (n = 10), Europe (n = 8), Australia/New Zealand (n = 5), and Asia (n = 4). Most studies targeted both male and female students (74%). Classroom-based strategies resulted in 21,117 testes overall (4 programs), followed by opportunistic screening during routine health examination (n = 13,470; 5 programs) and opportunistic screening at school-based health centers (n = 13,006; 5 programs). The overall median CT positivity was 4.7% (range, 1.3%-18.1%). Only 5 programs reported treatment rates (median, 100%; range, 86%-100%), 1 partner notification rate (71%), 1 retesting rate within a year of an initial CT diagnosis (47%), and 2 reported repeat positivity rates (21.1% and 26.3%). In conclusion, this systematic review shows that a variety of strategies have been used to screen large numbers of students in educational settings; however, only a few studies have reported CT management outcomes.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".