P5.040 Integration of Gonorrhoea and Chlamydia Self-Collection Service Within an Existing Reproductive Health Programme in Kampala, Uganda
Bibliographic record
Abstract
Background Sub-Saharan Africa has the highest rates of curable sexually transmitted infections (STIs) globally with the greatest morbidity due to Neisseria gonorrhoea and Chlamydia trachomatis falling on women. In response to a demand for comprehensive reproductive health screening, we proposed that providing additional N. gonorrhoea and C. trachomatis testing within a cervical cancer screening programme involving self swabbing for HPV, would be acceptable and effective. Methods As part of a cervical cancer screening project in Kisenyi, a densely populated urban community in Kampala, Uganda with low socio-economic-indicators, women aged 30 to 69 were offered N. gonorrhoea and C. trachomatis testing using self-collected swabs. Women were recruited in each sub-division by local health workers, after informed consent, a brief demographic and attitudes survey was completed and the method of swab collection was explained. Specimens were transported for PCR analysis within Kampala. Participants were contacted by mobile phone and asked to attend the local health clinic to receive appropriate treatment if found to be positive. Results Out of 206 women approached, 203 provided a self collected swab for analysis. Twenty-six women (13%) were found to have C. trachomatis, 2 (< 1%) were positive for N. gonorrhoea and one participant was co-infected. Of the women infected, 76% were successfully contacted and of these 62% attended follow-up to receive appropriate treatment. Women reporting no condom use in the last month accounted for 93% of those with C. trachomatis while use of the oral contraceptive pill was not associated with higher rates of either infection. The self-reported HIV positivity rate was 9.5%. Discussion The acceptance and uptake of testing for common STIs in this urban sub-Saharan environment was very positive. Due to the high burden of disease inferred by these easily treated infections, further integration of appropriate screening should be incorporated into existing reproductive health programmes.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".