Perceived patient navigator services and characteristics to address barriers to linkage to hepatitis C care among people released from provincial prison in Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: Patient navigation increases linkage to hepatitis C virus (HCV) care following release from prison; however, little is known about the services patient navigators should provide to maximize linkage to care. We aimed to identify perceived barriers and facilitators to linkage to HCV care post-release, and to determine patient navigator services and characteristics best suited to address barriers to linkage to care among people released from prison. METHODS: Ten semi-structured interviews were conducted with adult (age ≥18 years) men living with chronic HCV, released from the largest Quebec provincial prison, and linked to HCV care by a patient navigator. Interviews were guided by the Socio-Ecological Model (SEM) and aimed to explore the multi-level barriers and facilitators to linkage to HCV care post-release. Interviews were audio-recorded, transcribed, and analyzed using a deductive, thematic approach. RESULTS: The median age of participants was 54 years. Barriers to linkage to HCV care included competing priorities post-release (e.g., substance use, mental health issues, unstable housing), stigma (related to HCV, injection drug use, and incarceration), and lack of transportation. Facilitators included social support, established relationships with existing healthcare providers, prior cure with direct-acting antivirals, and HCV-related health literacy and knowledge. Perceived essential patient navigator services to enhance linkage included pre-release discharge appointments, housing assistance, and facilitated transportation to HCV appointments. Ensuring a consistent, non-judgemental, and empathetic patient navigator were considered important characteristics; lived experiences of incarceration and/or HCV were not felt to be essential for a patient navigator. CONCLUSIONS: Interventions that seek to improve linkage to HCV care for people following release from prison should address many levels (individual, interpersonal, and policy) of the SEM. While people experience several competing priorities post-release, having an empathetic and consistent patient navigator, regardless of their lived experiences of HCV and/or incarceration, may improve linkage to HCV care post-release.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".