Patient-delivered partner therapy: One option for management of sexual partner(s) of a patient diagnosed with a chlamydia infection
Bibliographic record
Abstract
BACKGROUND: Chlamydia is the most commonly diagnosed bacterial sexually transmissible infection (STI) in Australia. Partner management is key to reducing transmission and a cornerstone of best practice chlamydia management. While most patients will opt for telling their partner(s) themselves, patient-delivered partner therapy (PDPT) offers an alternative way to inform and treat partners where usual management is inappropriate or unlikely to be undertaken. Guidelines for PDPT vary across Australia. Recent research found that general practitioners (GP)s want practical guidance for using PDPT in appropriate situations. OBJECTIVE: The aim of this article is to provide an overview of the process of offering PDPT and note the challenges GPs may face in its provision. DISCUSSION: PDPT is one option for partner management when sexual partner(s) are unlikely or unable to seek timely care themselves. However, there are challenges to the use of PDPT in general practice. The provision of clear guidelines is an essential step to promote its appropriate use.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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".