Reattendance and chlamydia retesting rates at 12 months among young people attending Australian general practice clinics 2007–10: a longitudinal study
Bibliographic record
Abstract
UNLABELLED: Background Clinical guidelines commonly recommend annual chlamydia (Chlamydia trachomatis) testing in young people. General practice (GP) clinics can play an important role in annual testing, as a high proportion of young people attend these clinics annually; however, little is known about the timing of attendance and testing in this setting. METHODS: The Australian Collaboration for Coordinated Enhanced Sentinel Surveillance of Sexually Transmitted Infections and Blood-Borne Viruses system extracted consultation and pathology data on 16-29-year-olds attending 25 GP clinics in 2007-10. We calculated the proportion of individuals with an initial negative test that reattended at 12 months (±3 months) and retested at 12 months (±3 months). Individuals with an initial positive test were excluded, as guidelines recommend retesting at 3 months. RESULTS: Among 3852 individuals who had an initial negative test, 2201 (57.1%) reattended at ~12 months; reattendance was higher among females (60.8%) than males (44.1%; P<0.001) and higher among 16-19-year-olds (64.2%) than 25-29-year-olds (50.8%; P<0.001). Of 2201 individuals who reattended at 12 months, 377 had a chlamydia test (retesting rate of 9.8%); retesting was higher among females (10.8%) than males (6.1%; P<0.01) and higher among 16-19-year-olds (13.3%) than 25-29-year-olds (7.5%; P<0.001). CONCLUSION: Although over half of young people reattended their GP clinic ~1 year after a negative chlamydia baseline test, only 9.8% were retested at this visit. Strategies are needed to promote regular attendance and testing to both patients and clinicians.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 0.001 |
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".