Website Redesign of a 16-Week Exercise Intervention for People With Spinal Cord Injury by Using Participatory Action Research
Bibliographic record
Abstract
BACKGROUND: People with spinal cord injury (SCI) are at higher risk for numerous preventable chronic conditions. Physical activity is a protective factor that can reduce this risk, yet those with SCI encounter barriers to activity and are significantly less likely to be active. Limited evidence supports approaches to promote increased physical activity for those with SCI. OBJECTIVE: Building upon our previous theory- and evidence-based approach to increase participation in regular physical activity for those with SCI, this study aimed to use a participatory action research approach to translate a theory-based intervention to be delivered via the Web to individuals with SCI. METHODS: A total of 10 individuals with SCI were invited to participate in consumer input meetings to provide the research team with iterative feedback on an initial website designed as a platform for delivering a theory-based exercise intervention. RESULTS: A total of 7 individuals with SCI whose average age was 43.6 years (SD 13.4) and lived an average age of 12.5 years (SD 14.9) with SCI met on 2 occasions to provide their feedback of the website platform, both on the initial design and subsequently on the revamped site. Their iterative feedback resulted in redesigning the website content, format, and functionality as well as delivery of the intervention program. CONCLUSIONS: The substantially redesigned website offers an easier-to-navigate platform for people with SCI with greater functionality that delivers information using a module format with less text, short video segments, and presents more resources. Preliminary testing of the site is the next step.
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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 | 0.019 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| 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".