P5-S6.22 Social-structural factors associated with supportive service use in a cohort of HIV-positive individuals on ARV therapy in British Columbia, Canada
Bibliographic record
Abstract
Introduction Medical services are seldom the only assistance required for HIV-positive individuals to lead longer, healthier lives. The clinical complexities of HIV infection and the multiple needs of people living with HIV often require additional assistance to ensure optimal health outcomes. Supportive services (eg, housing, food, counselling, addiction treatment) are increasingly conceptualised as critical components of care. Our study investigates social and clinical correlates of supportive service use across differing levels of engagement. Abstract P5-S6.22 figure 1 presents the conceptual model of the study. Abstract P5-S6.22 Figure 1 Conceptual model for factors associated with supportive service use. Methods The Longitudinal Investigations into Supportive and Ancillary Health Services (LISA) is a cross-sectional cohort of HIV-positive persons on antiretroviral therapy in British Columbia, Canada. Interviewer-administered surveys collected information regarding sociodemographic factors, substance use, social support networks, and supportive services. Clinical variables were obtained through longitudinal linkages with the Drug Treatment Program at the BC Centre for Excellence in HIV/AIDS. Participants were stratified by level of service engagement (daily, weekly, and 1–3 months). Bivariate analysis and a logistic regression proportional odds model were used to identify variables significantly associated with supportive service use. Results Among 915 participants, 742 (81%) reported using supportive services, of which 344 were highly engaged, 280 moderately engaged, and 118 minimally engaged. Food programs, medication support, and counselling and social supports groups were services most accessed. Multivariate results demonstrated that those most engaged in supportive services were more likely to report poor social determinants of health such as low income [adjusted OR (AOR)=1.81]; not having completed high school (AOR=1.97); unstable housing (AOR=1.89); and current illicit drug use (AOR=1.60). After adjusting for social determinants, there were no significant differences in clinical measures across different levels of engagement with supportive services. Conclusion High service use by those demonstrating social and clinical vulnerabilities reaffirms the need for continued expansion of supportive services to facilitate a more equitable distribution of health among persons living with HIV.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".