“It's like it's the old boys club”—the age‐related experiences of diverse older women living with <scp>HIV</scp>: A scoping review and consultative exercise
Bibliographic record
Abstract
OBJECTIVES: HIV is often under-recognized in older individuals, particularly women, despite a significant number of new cases being diagnosed in those aged >50 years. This review aimed to understand the age-related experiences and challenges faced by women aged ≥50 years living with HIV through an intersectional perspective. METHODS: We conducted a systematic scoping review using the framework by Arksey and O'Malley, refined by Levac, Colquhoun, and Peters, and informed by a Sex- and Gender-Based Analysis Plus (SGBA+) approach. The research questions were developed in consultation with community advisory stakeholders. A comprehensive search strategy was used, targeting categories related to 'aged,' 'HIV,' and 'women' based on scoping review and Peer Review of Electronic Search Strategies guidelines. We included peer-reviewed studies where at least 50% of participants were women aged ≥50 years and living with HIV, focusing on their age-related experiences in health or social contexts. Two independent reviewers applied inclusion criteria through a two-level screening process. Data extraction included details on publication type, study characteristics, participant recruitment, and results. Findings were synthesized and presented to a stakeholder advisory committee for additional insights. Stakeholder input from an advisory committee was incorporated into the findings, providing additional context and enhancing the interpretation of the results. RESULTS: The review included 21 articles. Key findings revealed the intersectional challenges faced by women aged ≥50 years living with HIV, such as stigma, emotional resilience, social support networks, and health management strategies. These findings highlight the complex interplay of factors influencing their lives, from concerns about sharing HIV status to strategies for managing health. The review also identified research gaps and underscored the need for comprehensive studies on the intersectional dynamics affecting health outcomes in this population. CONCLUSIONS: This review underscores the complex challenges and strengths of women aged ≥50 years living with HIV, emphasizing the need for tailored interventions and support services that recognize their intersecting identities and unique needs. Addressing these issues is essential for ensuring equitable access to care and fostering resilience within this community.
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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 | 0.022 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| 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".