Barriers to Free Antiretroviral Treatment Access for Female Sex Workers in Chennai, India
Bibliographic record
Abstract
India's National AIDS Control Organization (NACO) provides free first-line antiretroviral treatment (ART) at government centers for people living with HIV. To assist in developing policies and programs to ensure equity in ART access, we explored barriers to ART access among female sex workers (FSWs) living with HIV in Chennai. Between August and November 2007, we conducted three focus group discussions and two key informant interviews. Data were explored using framework analysis to identify categories and derive themes. We found interrelated barriers at the family/social, health care system/programmatic, and individual levels. Major barriers included fear of adverse consequences of disclosure of HIV status due to stigma and discrimination associated with HIV and sex work, lack of family support, negative experiences with health care providers, lack of adequate counseling services at government centers and by outreach workers employed by nongovernmental organizations (NGOs), perceived biased treatment of FSWs who are not referred by NGOs, lack of adequate knowledge about ART, and fatalism. Barriers can be addressed by: creating effective measures to reduce stigma associated with HIV/AIDS and sex work at the familial, societal, and health care system levels; incorporating information about ART into targeted interventions among FSWs; training counselors at government hospitals and NGO outreach workers on treatment issues; improving infrastructure and staffing levels at government centers to allow adequate time and privacy for counseling; and implementing government mass media campaigns on ART availability. Finally, it is crucial that NACO begin monitoring ART coverage of FSWs and other marginalized populations to ensure equitable ART access.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".