Activity-based therapy in the community for individuals living with spinal cord injury or disease: qualitative interviews with clinicians
Bibliographic record
Abstract
PURPOSE: Activity-based therapy (ABT) is a restorative approach that promotes neurological recovery below the level of injury in individuals with spinal cord injury or disease (SCI/D). This study sought to understand how ABT and its associated technologies were being used in community-based facilities across Canada. METHODS: One to two participants from ten community-based ABT facilities completed a semi-structured interview that queried types of technologies or techniques used in ABT, and barriers and facilitators to providing ABT for individuals with SCI/D. Interviews were audio-recorded and transcribed verbatim, and analyzed using an interpretive description approach to identify themes and categories. RESULTS: The overarching theme that emerged was that ABT in the community is a client-centered approach characterized by variety in techniques, clinicians, and clientele. The researchers identified three categories within this theme: characteristics of ABT in the community, perceived challenges, and a need for advocacy. Participants advocated for earlier implementation, increased education, and reduced costs of ABT to address the challenges with implementation and accessibility. CONCLUSIONS: The use of ABT and its associated technologies varied across participating community-based facilities in Canada, despite a consistent focus on client goals and well-being. Addressing system-level limitations of ABT may improve implementation and accessibility in Canada.Implications for rehabilitationActivity-based therapy (ABT) is a group of interventions targeting recovery of sensory and motor function below the level of injury in individuals with spinal cord injury or disease (SCI/D).ABT in the community emphasizes a client-centered approach and is characterized by variety in techniques, clinicians, and clientele.Participants advocated that earlier implementation, reduced costs, and increased education will help overcome barriers to providing ABT, ultimately assisting to facilitate neurorecovery in individuals with SCI/D.Challenges in implementation, accessibility, and knowledge of ABT exist, highlighting a need to explore and address system-level limitations in Canada.
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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 | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| 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".