Predictors and social determinants of<scp>HIV</scp>treatment engagement among post‐partum Black women living with<scp>HIV</scp>in southeastern United States
Bibliographic record
Abstract
AIM: Guided by Mcleroy's socio-ecological model, this study explored the predictors and social determinants of HIV treatment engagement among Black post-partum women living with HIV. METHOD: Quantitative, research methodology. DESIGN: We conducted a retrospective, secondary data analysis of 143 Black post-partum women living with HIV who received peripartum care in South-Florida, United States, from 2009 to 2017. We examined odds of immediate post-partum engagement at 3 months post-partum, and ongoing primary care engagement at 12 months post-partum. RESULTS: The independent group analyses showed low levels of immediate post-partum (32.9%) and ongoing primary care engagement (24.5%). At the intrapersonal level, maternal prenatal health significantly affected both immediate post-partum and ongoing primary care engagement; and at the interpersonal level, HIV disclosure and intimate partner violence/abuse significantly affected immediate post-partum engagement. Also, immediate post-partum disengagement was a significant predictor for ongoing primary care disengagement. CONCLUSION: This study provides timely and critical information to address recent calls for awareness and interventions to address issues on health disparities and inequities among racialized communities. IMPACT: The study provides significant evidence on the effects of social determinants of health on health outcomes for Black women living with HIV. Critical understanding and assessment of these factors, together with proper, proactive interventions may help to gauge such negative effects. Healthcare providers taking care of Black women living with HIV ought to be cognizant of these factors, assess at-risk women and intervene accordingly to ensure that their care is not marginalized. PATIENT/PUBLIC CONTRIBUTION: This study includes direct patient data from Black post-partum women living with HIV who were seen at prenatal and post-partum clinics wherein data for this study were obtained. The study results were presented locally, nationally and internationally to communities, organizations of healthcare providers, stakeholders and service-users, who further corroborated our findings, and provided insights and future recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".