PSYCHOSOCIAL CORRELATES OF PREVENTION, CARE, AND WELL-BEING AMONG OLDER WOMEN LIVING WITH HIV
Bibliographic record
Abstract
Abstract There are over 4.2 million older adults (ages 50+ years) living with human immunodeficiency virus (HIV) globally. Older women continue to make up a significant proportion of this population. Advances in antiretroviral therapy treatments have allowed HIV+ individuals to live longer, healthier lives. However, compared to all persons living with HIV, women have lower viral suppression rates and are less likely to be retained in care. While older women living with HIV (WLWH) face unique challenges with HIV prevention and care, such as caregiving responsibilities, gender discrimination, and ageism, there is a dearth of research focusing on their experiences. As the population of older WLWH continues to increase, understanding barriers and facilitators to HIV prevention and care among this population is a public health priority. This symposium will provide insight into psychosocial factors that influence HIV prevention, care, and well-being among older WLWH. Our first presentation highlights a qualitative study identifying sources of strength and concerns about aging with HIV among older women. Our second presentation examines social support networks and interpersonal strain in relation to loneliness among older WLWH. Our third presentation highlights the impact of patient-provider communication regarding HIV/AIDs on sexual health communication between older WLWH and their partners. Our fourth presentation examines mental health vulnerabilities and strengths of older WLWH during the humanitarian crisis in Ukraine. Discussant Dr. Anna Rubtsova will contextualize these findings and offer suggestions for future research to enhance well-being of older women across the continuum of HIV prevention and care.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".