Pathways From Recent Incarceration to Antiretroviral Therapy Adherence: Opportunities for Interventions to Support Women Living With HIV Post Release From Correctional Facilities
Bibliographic record
Abstract
ABSTRACT: Women living with HIV are increasingly incarcerated and experience suboptimal HIV health outcomes post release from incarceration. Drawing on cohort data with cisgender and trans women living with HIV (Sexual Health and HIV/AIDS: Women's Longitudinal Needs Assessment), we used path analysis to investigate pathways from recent incarceration to optimal antiretroviral therapy (ART) adherence. We tested direct effects between recent incarceration, mediating variables, and ART adherence, along with indirect effects between incarceration and ART adherence through each mediator. We assessed model fit using chi-square, root-mean-square error of approximation (RMSEA), and comparative fit index (CFI). Our hypothesized model fit well to the data (χ2(1)=1.100; p=.2943; CFI = 1.000; RMSEA = 0.007). Recent experiences of homelessness, criminalized substance use, and gender-based violence each fully mediated the pathway between recent incarceration and optimal ART adherence. Findings highlight the need for safe and supportive housing, supports for criminalized substance use, and trauma and violence-informed care and practice post release from incarceration.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".