Supporting women leaving prison through peer health mentoring: a participatory health research study
Bibliographic record
Abstract
BACKGROUND: During the transition between prison and community, people are at greatly increased risk for adverse health outcomes. This study describes a peer health mentoring program that supports women in the first 3 days after their release from a provincial correctional facility in British Columbia. METHODS: We used a participatory health research framework to develop multimethod processes to describe the Unlocking the Gates Peer Health Mentoring Program. Mentors are women with incarceration experience. Between 2013 and 2018, women released from Alouette Correctional Centre for Women were invited to access the program. All program clients were invited to participate in the surveys and interviews. We analyzed survey and interview data using descriptive analysis for quantitative data and content analysis for qualitative data. RESULTS: There were 346 program contacts from 340 women over the study period. For every contact, a telephone interview was conducted. Among the 346 contacts, 173 women met their mentor, of whom 172 (99.4%) completed the intake and consent forms. A total of 105 women (61.0%) completed a program activity feedback survey at the end of the mentoring period. Women identified a range of needed supports during the transition from prison to community, including access to clothing, social assistance, housing and health care. Participants described a mix of emotions surrounding release, including excitement, anxiety, hope, and a wish for understanding and support. Within 3 days of release, 49 participants (46.7%) had accessed a family physician, and 89 (84.8%) had accessed at least 1 community resource. Ninety-eight participants (93.3%) reported that their mentor assisted them in accessing community resources. INTERPRETATION: Peer health mentoring provides valuable, multifaceted support in helping women to navigate health and social services and to meet their basic needs. Strengthening health supports during the transition from prison to community is critical to promoting the health and well-being of women leaving prison.
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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 | 0.032 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".