Living With HIV During the COVID-19 Pandemic: Impacts for Older Adults in Palm Springs, California
Bibliographic record
Abstract
We conducted surveys in March 2020 with 100 older adults living in Palm Springs, CA, to (1) report the impact of the COVID-19 pandemic on their day-to-day well-being and (2) describe the factors related to missing HIV medication during the pandemic. Respondent's mean age was 64.2 and the majority identified as White, men, and gay. The majority stated that the pandemic had impacted their lives “much,” “very much,” or “extremely.” One-third experienced financial challenges and 46.0% experienced disruptions to health care. Almost a quarter (24.0%) reported missing a dose of their HIV medication during the pandemic. Compared to those ages 64+, younger respondents were more likely to report some negative impacts like changes in sleep patterns, financial challenges, and missed HIV medication doses, and had higher PTSD severity scores. In adjusted logistic regression, higher PTSD severity scores and disruption to health care were associated with missed doses of medications (ps < .05).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".