An environmental scan of peer support programs in Ontario, Canada for adults with special health care needs and their caregivers
Bibliographic record
Abstract
To conduct an environmental scan of known peer support programs implemented for adults with chronic health conditions and/or their caregivers in Ontario, Canada and synthesize these results, to inform future efforts to co-design peer support programs with and for adults with special health care needs (ASCN). A systematic online search was performed, to identify peer support programs for individuals with chronic health conditions and their caregivers in Ontario. Relevant program details were extracted from peer support group webpages and where possible peer support program coordinators were contacted for additional information. Twenty programs met inclusion criteria. There was considerable variation in the type of peer support programs offered across Ontario. Despite this heterogeneity, the environmental scan identified several important trends across program offerings. Key amongst these are inclusive programming for both patients and family, and individualized/flexible service delivery. Program and outcome evaluation was lacking across programs. Peer support programs in Ontario used diverse strategies but shared the goal of creating safe spaces for individuals with similar lived experiences to connect. Future research on peer support programs for people with chronic health conditions should assess short- and long-term outcomes to evaluate their impact on populations served. Peer support programs for individuals with chronic health conditions located in Ontario, Canada used diverse strategies but shared the mutual goal of creating safe spaces for individuals with similar lived experiences to connect.A safe space is a fundamental aspect of peer support which allows emotional connections to flourish and people to experience a sense of belonging.Given the often unpredictable nature of living with a chronic health condition, flexible and hybrid peer support program models that prioritize individual choice are essential, as they enable individuals to participate in ways that work best for them.Incorporating peer-support as an integral element of care may benefit individuals living with chronic health conditions. Peer support programs for individuals with chronic health conditions located in Ontario, Canada used diverse strategies but shared the mutual goal of creating safe spaces for individuals with similar lived experiences to connect. A safe space is a fundamental aspect of peer support which allows emotional connections to flourish and people to experience a sense of belonging. Given the often unpredictable nature of living with a chronic health condition, flexible and hybrid peer support program models that prioritize individual choice are essential, as they enable individuals to participate in ways that work best for them. Incorporating peer-support as an integral element of care may benefit individuals living with chronic health conditions.
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.027 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".