A COMMUNITY VISITING PILOT PROJECT EXPLORING THE BENEFITS OF ONE-TO-ONE PEER SUPPORT FOR STROKE SURVIVORS POST HOSPITAL DISCHARGE
Bibliographic record
Abstract
With a united vision of creating in-home peer support for stroke survivors, VHA Home HealthCare, March of Dimes Canada and the Toronto Stoke Networks collaborated to pilot an in-home, community peer support program based on the Peers Fostering Hope Hospital Program. Traditionally, peer support programs are offered in hospital or as group support in the community. This pilot is believed to be the first known community support program for stroke survivors in Ontario, Canada where trained peer volunteers have one-to-one visits with recent stroke survivors in their home or community setting. Four peer volunteers assisted with program development and eleven were recruited to provide in-home support. Operational and administrative processes, unique to providing visits in the community, were developed. Of particular importance to peer volunteers was education on delivering in-home/community support. Upon hospital discharge, clients were offered the opportunity to participate in this pilot program. Nine matches occurred and visits ranged from 1 to more than 13 over several months. Matches were based on geographical proximity and mutually agreed upon criteria (e.g. age, gender). Weekly or bi-weekly visits were scheduled in the clientu2019s home or an agreed upon community setting. Interviews were conducted with clients and peers. Clients spoke positively of their experience, from the hope and emotional support they received and knowledge provided by peers. Peers self-reported immense satisfaction and feelings of self-worth. Clients and peers equally benefited from this pilot program. Next steps include exploring identified challenges and implementation on a broader scale given its success.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 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 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".