The impact of an HIV/AIDS adult integrated health program on leaving hospital against medical advice among HIV-positive people who use illicit drugs
Bibliographic record
Abstract
Background: Leaving hospital against medical advice (AMA) is a major source of avoidable morbidity, mortality and healthcare expenditure. The objective of this study was to assess the impact of an innovative HIV/AIDS adult integrated health program on leaving hospital AMA among HIV-positive people who use illicit drugs (PWUD). Methods: Using generalized estimating equations, we examined the relationship between being a participant of the Dr. Peter Centre (DPC), a specialty HIV/AIDS-focused adult integrated health program, and leaving hospital AMA among a cohort of HIV-positive PWUD patients. Results: Between July 2005 and July 2011, 181 HIV-positive PWUD who experienced ≥1 hospitalization were recruited into the study. Of the 406 hospital admissions among these individuals, 73 (39.9%) participants left the hospital AMA. In a multivariable model adjusted for confounders, being a participant of the DPC was independently associated with lower odds of leaving hospital AMA (adjusted odds ratio = 0.42; 95% confidence interval: 0.19-0.89). Conclusions: Our findings suggest that the provision of a broad range of clinical, harm reduction and support services through an innovative HIV/AIDS-focused adult integrated health program operating in proximity to a hospital may curb the rate at which individuals leave hospital prematurely.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".