Impact of social determinants of health on time to antiretroviral therapy initiation and HIV viral undetectability for migrants enrolled in a multidisciplinary HIV clinic with rapid, free, and onsite B/F/TAF: ‘The ASAP study’
Bibliographic record
Abstract
OBJECTIVE: Multidisciplinary care with free, rapid, and on-site bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) dispensation may improve health outcomes among migrants living with HIV. However, models for rapid B/F/TAF initiation are not well studied among migrants living with HIV, and an understanding of how social determinants of health (SDH) may affect HIV-related health outcomes for migrants enrolled in such care models is limited. METHODS: Within a 96-week pilot feasibility prospective cohort study at a multidisciplinary HIV clinic, participants received free B/F/TAF rapidly after care linkage. The effects of SDH (i.e., birth region, sexual orientation, living status, education, employment, French proficiency, health coverage, use of a public health facility outside our clinic for free blood tests, and time in Canada) and other covariates (i.e., age, sex) on median time to antiretroviral therapy (ART) initiation and HIV viral undetectability from care linkage were calculated via survival analyses. RESULTS: Thirty-five migrants were enrolled in this study. Median time to ART initiation and HIV undetectability was 5 days (range 0-50) and 57 days (range 5-365), respectively. Those who took significantly longer to initiate ART were aged <35 years, identified as heterosexual, had less than university-level education, or were unemployed. No factor was found to significantly affect time to undetectability. CONCLUSION: Despite the provision of free B/F/TAF, several SDH were linked to delays in ART initiation. However, once initiated and engaged, migrants living with HIV reached HIV undetectability efficiently. Findings provide preliminary support for adopting this care model with migrants living with HIV and suggest that SDH should be considered when designing clinical interventions for more equitable outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".