RehabMove 2018: RE-AIM ANALYSIS OF A CANADIAN PEER MENTORING PROGRAM THAT PROMOTES PHYSICAL ACTIVITY
Bibliographic record
Abstract
Abstract PURPOSE: Participation in recreational activities for people with spinal cord injury (SCI) can lead to physical and psychosocial benefits. Peer mentoring (PM), typically described as a one-to-one interaction between a mentor and mentee, has been shown to help facilitate recreation participation. Although PM has the potential to engage people with SCI in recreational activities, no research has assessed the impact of this service beyond the individual level. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, this study evaluated the impact of a Canadian SCI PM program at both the individual and organization level. METHODS: Data from one provincial SCI organization in Canada was analyzed for this study. The organization provides PM services throughout its province and prioritizes the promotion and facilitation of recreation engagement. The executive director of the program completed a survey examining different elements of the PM program they offer. Measures of all five RE-AIM dimensions were included in the survey. Data were analyzed using summary statistics to describe peer mentorship at both the individual and organizational level. RESULTS: For the 2016-2017 fiscal year, the PM program reached 4.16% of people living with SCI in the province where the service is offered. The effectiveness of the organization’s PM program is tracked through testimonials, whereby increased involvement in recreation and parallel sport was reported as an outcome. The PM program has been in operation for 60 years and is offered in community and hospital settings. Currently, just 0.4% of the total operating budget is allocated towards implementing the service. CONCLUSION: PM appears to be a financially feasible approach to engage individuals with SCI in recreation activities. A detailed assessment of how access to, and allocation of resources influence the reach and effectiveness of this service is needed.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".