The changing landscape of both causes and locations of death in a regional <scp>HIV</scp> population 2010–2021
Bibliographic record
Abstract
BACKGROUND: Although HIV-related deaths among people with HIV have dramatically decreased, deaths from other medical conditions and non-medical events have increased. The location of death among people with HIV remains underreported. OBJECTIVES: We reviewed the deaths, causes of death, and reported location of death (i.e. within or outside of medical settings) of all people with HIV with the Southern Alberta Cohort, Calgary, Canada, between 1 January 2010 and 1 January 2022. METHODS: This was a retrospective longitudinal cohort study reviewing all deaths within a comprehensive geographically defined HIV cohort over 11 years. RESULTS: Deaths from HIV-related causes decreased from 52% of all deaths in 2010 to 14% in 2021. In 2021, non-HIV medical deaths increased from 38% to 44%, and non-medical deaths (e.g. violence, suicide, drug overdose) increased from 0.5% to 39%. Of non-medical deaths, 67% resulted from substance use/overdose. Overall, deaths in any medical setting decreased from 91% in 2010 to 39% in 2021; 61% of all deaths occurred in a medical setting (e.g. hospital/emergency department or supported/long-term/hospice care), 27% in a residence, and 9% in the community. CONCLUSION: The shifting causes of death (i.e. fewer HIV-related deaths, more overdose deaths) and location of death (i.e. fewer in medical settings, more at home/in the community) requires close monitoring so future resources can be matched to predicted patient needs.
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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 | 0.001 |
| 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 | 0.000 |
| 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".