O12.3 Evaluation of a Community-Based HIV Preventive Intervention For Female Sex Workers in Rural Areas of Karnataka State, South India
Bibliographic record
Abstract
Background To examine changes in behavioural outcomes among rural female sex workers (FSWs) involved in a community-based HIV preventive intervention in south India. Methods 14,284 rural FSWs from 1,253 villages that were selected through a process of rapid rural mapping were reached by community workers (called link workers) and FSW peer educators over a period of three years between 2009 and 2012. A community-based model for delivering outreach, medical and referral services was developed and employed. Socio-demographic profiles of the FSWs and programme outputs were captured using an individualised computerised management information system (CMIS). Changes in behaviour were assessed in an anonymised fashion using two rounds of polling booth surveys (PBS) conducted in 2009 and 2012. Results 91% of FSWs were above the age of 25, and 85% had been involved in sex work for two or more years. During the three-year period, 95% of the mapped FSWs were reached at least once, 80.3% received condoms as per need, and 71% received health services for sexually transmitted infections. In 2012, 45% reported having been tested for HIV infection, at least once in the previous six months. The two rounds of PBS showed significant differences in behavioural outcomes. Condom use increased from 60% to 72%, and condom breakage reduced from 30. 2% to 8.4%. Utilization of HIV counselling and testing services increased from 64% to 92.4%, and the proportion of FSWs testing HIV positive declined from 2.3% to 0.17%. Conclusions This community-based model for delivering HIV prevention programmes and services among widely dispersed female sex workers in rural areas was effective. Community-based health workers provided the vital link between marginalised communities in need of services and the formal health system. This model for rural outreach and HIV care could also be applied to many other health problems.
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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 | 0.001 |
| 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".