Comorbidity prevalence and healthcare costs in people living with HIV compared with the general population: a 19-year retrospective cohort study in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVES: Our objectives were (1) to characterise the age-sex-standardised prevalence of comorbidities among people living with HIV (PLWH) and people not living with HIV (PnLWH) between 2001 and 2019 and (2) to examine the effect of comorbidities on direct healthcare costs among PLWH and PnLWH. DESIGN: This was a retrospective, matched cohort study conducted with the Comparative Outcomes and Service Utilisation Trends (COAST) cohort, which contained all known PLWH in British Columbia (BC), Canada and a general population sample. SETTING: BC, Canada. PARTICIPANTS: A total of 9554 PLWH and 47 770 PnLWH from the COAST cohort were followed between 2001 and 2019. Participants were at least 19 years old and 82% male in both groups. OUTCOME MEASURES: The primary outcomes were the age-sex-standardised prevalence of 16 comorbidities, calculated annually, among PLWH and PnLWH. Secondary outcomes included direct healthcare costs associated with each comorbidity among PLWH and PnLWH. Outcomes were ascertained from administrative health databases. RESULTS: PLWH exhibited a higher age-sex-standardised prevalence of most comorbidities compared with PnLWH over the study period. Relative disparities in liver and kidney diseases markedly decreased since 2008. Disparities in the prevalence of mental health disorders and substance use disorder (SUD) were consistently large throughout the study period. Comorbidities were associated with high healthcare costs, especially among PLWH. CONCLUSIONS: This study underscores the persistent and evolving burden of non-AIDS-defining comorbidities among PLWH, even in the context of improved HIV management. The high prevalence of mental health disorders and SUD, coupled with the substantial healthcare costs associated with these conditions, emphasises the need for holistic and integrated care models that address the full spectrum of health challenges faced by PLWH.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".