Access to care and impact on <scp>HIV</scp> treatment interruptions during the <scp>COVID</scp>‐19 pandemic among people living with <scp>HIV</scp> in British Columbia
Bibliographic record
Abstract
INTRODUCTION: The COVID-19 pandemic has changed healthcare service delivery. We examined the overall impact of COVID-19 on people living with HIV in British Columbia (BC), Canada, with a special focus on the potential impact of COVID-19 on antiretroviral treatment interruptions (TIs). METHODS: Purposive sampling was used to enrol people living with HIV aged ≥19 years across BC into the STOP HIV/AIDS Program Evaluation study between January 2016 and September 2018. Participants completed surveys at baseline enrolment and 18 and 36 months later. Additional COVID-19 questions were added to the survey in October 2020. TIs were defined as >60 days late for antiretroviral therapy (ART) refill using data from the BC HIV Drug Treatment Program. Generalized linear mixed models were used to examine trends in TIs over time and associations with reported health service access. RESULTS: Of 581 participants, 6.1%-7.7% experienced a TI during each 6-month period between March 2019 and August 2021. The frequency of TIs did not statistically increase during the COVID-19 epidemic. Among the 188 participants who completed the COVID-19 questionnaire, 32.8% reported difficulty accessing healthcare during COVID-19, 9.7% reported avoiding continuing a healthcare service due to COVID-19-related concerns, and 74.6% reported using virtual healthcare services since March 2020. In multivariable analysis, the odds of a TI in any 6-month period were not significantly different from March to August 2019. None of the reported challenges to healthcare services were associated with TIs. CONCLUSIONS: Although some participants reported challenges to accessing services or avoidance of services due to COVID-19, TIs were not more likely during COVID-19 than before.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".