A Pilot Feasibility Randomized Controlled Trial on the Ontario Brain Injury Association Peer Support Program
Bibliographic record
Abstract
BACKGROUND: The long-term consequences of traumatic brain injury can create major barriers to community integration. Peer support represents a sustainable model of support across this transition. The objective of the current study was to determine the feasibility of conducting a randomized controlled trial on the Ontario Brain Injury Association Peer Support Program and the preliminary effectiveness of the program on community integration, mood, health-related quality of life, and self-efficacy; Methods: A pilot feasibility randomized controlled trial with an embedded qualitative component was conducted. Mentees with moderate-to-severe traumatic brain injury (n = 13) were randomized to a weekly intervention or waitlist control group. Interviews were conducted with a subset of mentees and peer mentors (n = 10). Integration of the quantitative and qualitative data was completed using a joint display approach; Results: No statistically significant results were found for community integration, mood, or self-efficacy; however, changes in these outcomes were accompanied by moderate-to-large effect sizes. Within health-related quality of life, the mean pain score of the intervention group was significantly lower than that of the control group at the two-month timepoint but not at completion. Interviews revealed proximal improvements in knowledge, skills, and goals, and identified two domains related to trial acceptability: (1) environmental context and resources, and (2) reinforcement; Conclusions: Given the conceivable importance of proximal improvements in domains such as knowledge, skills, and/or goals for the attainment of more distal outcomes, modifications to the existing Peer Support Program may be warranted. The introduction of program recommendations which promote discussion around particular domains may help facilitate long-term improvements in health outcomes.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".