Knowledge and Skills for Management of Sexually Transmitted Infections by Rural Medical Practitioners in Bangladesh
Bibliographic record
Abstract
Sexually transmitted infection (STI) management is considered rudimentary among rural medical practitioners (RMPs) in Bangladesh. We sought to understand the level of knowledge and skills in STI management and to assess the impact of a two-day training orientation among RMPs in Tangail district. Data were collected through a baseline survey of 225 practicing RMPs in the study area and a three-month follow-up survey of 99 RMPs who participated in a two-day STI/HIV orientation training. The level of formal training among RMPs ranged from none (22.7%), to paramedical training (14.7%) and local medical assistant training (62.6%). The baseline survey revealed a low level of STI/HIV knowledge and misconceptions about the transmission of STI/HIV among RMPs. RMPs mostly prescribed first line antibiotics for treatment of common reproductive tract infections (RTIs) including STIs, but they rarely prescribed the correct dosages according to the national RTI/STI management guidelines. Only 3% of RMPs were able to correctly answer all four HIV transmission (unprotected sexual intercourse, blood transfusion, needle sharing and mother to child transmission) questions at baseline, while 94.9% of RMPs answered all four correctly at three months following the training (p=0.001). Only 10% of RMPs reported suggesting the recommended drug (azithromycin) and only 2% mentioned about the recommended dosage (2gm single dose) for the treatment of urethritis/cervicitis; compared to 49.5% suggested azithromycin at follow-up with 39.4% mentioned the recommended 2gm single dose (p=0.001). Our study found low level of knowledge and poor practices related RTI/STI management among RMPs. Short orientation training and education intervention shown promise to increase knowledge and management skills for RTIs/STIs.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".