Management of patients with sexually transmitted infections by general practitioners in the district of Gampaha
Bibliographic record
Abstract
Introduction: In Sri Lanka, care for sexually transmitted infections (STIs) is given by both public and private sectors. Though there is an organized system for provision of care in government STD clinics, system available for the same purpose in private sector has not been studied. Objective: To describe the knowledge and practices related to the management of patients presenting with symptoms and signs of sexually transmitted infections (STD Syndromes) among general practitioners in the District of Gampaha. Method: A descriptive cross sectional study was carried out among 200 general practitioners. Data were collected by using a self-administered structured questionnaire in English language and analyzed using SPSS 16. Results: Majority of the study population were male (76%) with MBBS qualifications (97%) and involved in part time general practice (92.5%). Significant number (21% ) of GPs have not heard the term syndromic management of STDs. Almost three quarter (74%) of GPs did not use any guideline for the management for STIs. Only a minority of GPs has prescribed the recommended antibiotic combination for patients presenting with urethral discharge (10%), vaginal discharge (16%), non vesicular genital ulcers (3.5%) and vesicular genital ulcers (35%). Majority (55.5%) of GPs have done condom promotion. Counselling on STI prevention was done only by about half (48%) of the GPs. Conclusions: Most GPs were not aware of the syndromic management of STDs. Diagnostic tests that have been carried out were not appropriate to the symptoms and recommended treatment was not prescribed for most of the syndromes. They were unfamiliar with the STI management guidelines.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".