Aging with HIV and disability: The role of uncertainty
Bibliographic record
Abstract
Due to advances in treatment, people with HIV are living longer and developing disabilities related to the virus, adverse side effects of medications, and aging. Illness-related uncertainty has been shown to contribute to disablement; however, there is little understanding of the uncertainties related to aging with HIV. The purpose of this research was to describe the contribution of uncertainty to the disability experienced by older adults living with HIV. Forty-nine men and women living with HIV and 50 years or older participated in in-depth qualitative interviews exploring various aspects of social participation and disability. Transcriptions of the interviews were analyzed using a grounded theory approach. Age-related uncertainties were described in the following themes: source of health challenge; health providers' age-related knowledge and skills; financial uncertainty; transition to retirement; appropriate long-term housing, and uncertainty over who would care for them. While not directly attributable to aging, the episodic nature of HIV left many with uncertainties related to when their next episode of illness would occur and often resulted in an inability to plan in advance. Results highlight the need to focus on the notion of successful and positive aging with the view to identifying effective interventions that reduce disability and enhance the overall health of older adults with HIV. This work builds on previous studies highlighting the role of uncertainty in the disability experience by identifying age-related components specific to older adults aging with HIV.
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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 | 0.013 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".