Barriers to Adherence of Antiretroviral Treatment in a Prison of Tehran: A Qualitative Study
Bibliographic record
Abstract
Focus group discussion (FGD) was conducted on Ghezel-hesar prison of Karaj, Alborz province, to investigate the barriers to and facilitators of adherence to antiretroviral therapy (ART) in January, 2015. Participants reported illegal drug use, deficits in educating patients regarding HIV treatment, side effects of anti-retroviral drugs, treatment interruption, drug interactions, fear of hangover, poor diet, low socioeconomic background, hopelessness, depression, not believing in the treatment, rejection and lack of social support, stigma, obligatory break in the prison yard, lack of tendency toward visiting psychiatrists, lack of family support, forgetfulness, and not receiving complementary drugs as the barriers to adherence to ART. In addition, the facilitators of the treatment included physician-patient good communication, physician's compassion, providing patients with counseling services, educating patients regarding HIV treatment necessity, peer education, informing patients of CD4 level, educating correctional staffs in treating patients with courtesy, providing methadone on time, and improving patients' diet. Providing HIV-infected inmates with welfare programs and educating them regarding the adherence to ART may play a prominent role in the HIV treatment among HIV-infected inmates. Training correctional staffs concerning the significance of HIV treatment and adherence to ART can also be effective in the treatment of HIV-infected prisoners.
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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 | 0.004 | 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 | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".