Medication Adherence and Substance Use Among Gay, Bisexual and Other Men Who Have Sex with Men (GBMSM) Living with HIV in New York City During covid-19 Restrictions
Bibliographic record
Abstract
COVID-19 shelter-in-place orders were critical in preventing the spread of SARS CoV-2 virus but may have disrupted care for people living with HIV, including access to antiretroviral treatment (ART). Understanding how COVID-19 restrictions affected ART adherence is a public health concern. Neighborhoods, Networks and HIV (NNHIV) is an ongoing longitudinal cohort study evaluating the impact of neighborhoods and networks on HIV care engagement among gay, bisexual, and other men who have sex with men (GBMSM) living in New York City (NYC). During follow-up visits between April 2020 and January 2021, pandemic impact was assessed, including health care/medication access concerns. Using multivariate logistic regression models, correlates of self-reported persistent ART adherence (≥85%) were assessed. 131 participants provided complete data. Over follow-up, half (50%) attended in-person medical appointments, just over a quarter (27.3%) attended in-person HIV-related lab appointments. In multivariable models, homelessness was associated with lower odds of being consistently adherent (aOR = 0.11, 0.10-0.98. Higher levels of HIV treatment self-efficacy (aOR = 1.05, 1.03-1.07), COVID-19 related increases in substance use (aOR = 3.75, 1.02-13.75) and higher levels of medical mistrust (aOR = 1.05, 1.03-1.52) were all associated with increased odds of being persistently adherent. Although COVID-19 public health restrictions did impact the daily lives of GBMSM living with HIV in the NNHIV cohort, ART adherence remained consistently high, even among those who reported difficulty accessing care during the restrictions. This suggests that local healthcare infrastructure adapted in the face of COVID-19 to meet the changing needs of this cohort of men.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".