A cross-sectional study of prolonged disengagement from clinic among people with HCV receiving care in a low-threshold, multidisciplinary clinic
Bibliographic record
Abstract
Background: Disengagement from care can affect treatment outcomes of patients with hepatitis C virus (HCV). We assessed the extent and determinants of disengagement among HCV patients receiving care at the Ottawa Hospital Viral Hepatitis Program (TOHVHP). Methods: We linked clinical data of adult patients, categorized as ever or never disengaged from clinic (no TOHVHP encounters over 18 months), receiving care between April 1, 2002, and October 1, 2015, to provincial health administrative databases and calculated primary care use in the year after disengagement. We used adjusted Cox proportional hazards models to analyze variables associated with disengagement. Results: Those disengaged from care ( n = 657) were younger at presentation (46.6 [SD 11.1] versus 51.9 [SD 11.0] years), p < 0.001) and had lower comorbidity. After multivariable adjustment, we observed lower hazards of disengagement among those with higher compared with lower fibrosis scores (F3, hazard ratio [HR] 0.21 [95% CI 0.08–0.57]; F4, HR 0.32 [95% CI 0.19–0.55]) and those treated compared with never treated (received direct-acting antivirals [DAAs], HR 0.71 [95% CI 0.58–0.88]; received interferon but not DAA, HR 0.66 [95% CI 0.55–0.80]). We found no association with mental health or substance use disorders. In the year after disengagement, 74.3% ( n = 488), 37.1% ( n = 244), and 17.7% ( n = 116) had at least one family physician visit, emergency department visit, and hospitalization, respectively. Conclusions: Better integration of HCV specialty and primary care could improve disengagement rates among people with HCV.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".