P2-S2.01 Support groups as a strategy for reducing HIV vulnerability among female sex workers in Bellary, Northern Karnataka, India
Bibliographic record
Abstract
Background The Karnataka Health Promotion Trust implements HIV preventive interventions for female sex workers (FSWs) in Karnataka, South India, in partnership with non-governmental and community-based organizations (NGOs and CBOs). These interventions are supported by the Bill & Melinda Gates Foundation. Community mobilisation and collectivisation are key vulnerability reduction strategies. In Bellary district, FSWs are encouraged to form site-level groups of 10–12 members which meet regularly. They discuss STIs, HIV, condom negotiation skills, and other important issues. They also support members during crises, and engage in savings and credit activities. We attempted to understand the impact in Bellary of collective membership and the availability of economic support on two measures of safer sex behaviour: clinic attendance and condom use with last client. Methods Multivariate logistic regression was used to measure the association between the outcome variables and collective membership, using data from a round of integrated behavioural and biological assessments conducted in Bellary in 2008. We also conducted focus group discussions (FGDs) with members and non- members of collectives, to understand the reasons for observed associations. Results 34% of FSWs were members of collectives. Members were 7 times more likely to have used condoms with their last client (adjusted OR [AOR]: 7.5, 95% CI 1.9 to 30.1, p<0.05). Additionally, collective members were 4 times more likely to visit an STI clinic than non-members (AOR: 4.6, 95% CI 2.0 to 10.6, p<0.05). FGDs revealed that alternate sources of economic activity, such as savings enhancement and low interest loans to collective members, reduced sex workers' dependence on exploitative sources of credit, enabling them to better negotiate condom use with clients who resisted unprotected sex. Further, the sex worker collectives helped FSWs to overcome their fears of stigmatisation, creating a more enabling environment that positively influenced access to clinics for STI care. Conclusions Membership in site-level groups considerably increased access of FSWs to program services. Activities to address the economic vulnerability of female sex workers were key factors in enabling greater condom use. Savings and access to credit helped FSWs to reduce their dependency on sex work, and enabled them to more readily negotiate condom use with clients.
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 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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".