Barriers to antiretroviral treatment access for injecting drug users living with HIV in Chennai, South India
Bibliographic record
Abstract
India's National AIDS Control Organization provides free antiretroviral treatment (ART) to people living with HIV (PLHIV), including members of marginalized groups such as injecting drug users (IDUs). To help inform development of interventions to enhance ART access, we explored barriers to free ART access at government ART centers for IDUs living with HIV in Chennai by conducting three focus groups (n = 19 IDUs) and four key informant interviews. Data were explored using framework analysis to identify categories and derive themes. We found interrelated barriers at the family and social, health-care system, and individual levels. Family and social level barriers included lack of family support and fear of societal discrimination, as well as unmet basic needs, including food and shelter. Health-care system barriers included actual or perceived unfriendly hospital environment and procedures such as requiring proof of address and identity from PLHIV, including homeless IDUs; provider perception that IDUs will not adhere to ART, resulting in ART not being initiated; actual or perceived inadequate counseling services and lack of confidentiality; and lack of effective linkages between ART centers, needle/syringe programs, and drug dependence treatment centers. Individual-level barriers included active drug use, lack of self-efficacy in ART adherence, low motivation to initiate ART stemming from a fatalistic attitude, and inadequate knowledge about ART. These findings indicate that to facilitate IDUs gaining access to ART, systemic changes are needed, including steps to make the environment and procedures at government ART centers more IDU-friendly and steps to decrease HIV- and drug use-related stigma and discrimination faced by IDUs from the general public and health-care providers. Housing support for homeless IDUs and linkage of IDUs with drug dependence treatment are also essential.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".