A Qualitative Study on the Social Determinants of HIV Treatment Engagement Among Black Older Women Living With HIV in the Southeastern United States
Bibliographic record
Abstract
ABSTRACT: Black older women living with HIV (BOWLH) in the United States are disproportionately affected by HIV infection and poor treatment engagement rates, often caused by multiple social determinants of health. In this descriptive qualitative study, we interviewed 17 BOWLH to investigate the facilitators and barriers to HIV treatment engagement. Data were analyzed using the socioecological framework. Findings demonstrate the positive influences of supportive social networks, perceived benefits, HIV-related knowledge, raising HIV awareness in communities, and impact of HIV state laws. The highlighted barriers were mainly low income, substance use, HIV-related stigma, influence of stereotypes and assumptions about older women living with HIV, and health insurance. Religion, managing comorbidities, attitude toward, HIV disclosure, and caregiving roles had both positive and negative influences on engagement. These findings illuminate factors of HIV treatment engagement that might be culturally founded; disseminating these factors to health care professionals is a critical intervention to support this population.
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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 | 0.003 | 0.001 |
| 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".