Outcomes and reflections on a consensus-building workshop for developing a spinal cord injury-related chronic pain research agenda
Bibliographic record
Abstract
Context/ Objective: Chronic pain following spinal cord injury (SCI) is a prevalent secondary health condition that significantly impacts quality of life (QoL). Although growing, the number of available effective pain management approaches for SCI is limited. Recognizing the need to "kick-start" activity on this topic, a consensus-building workshop on developing a research agenda for SCI-related chronic pain was held in 2006 with an expert panel. The present paper describes the processes of the consensus-workshop and its associated outcomes towards advancing the research agenda for SCI-related pain in Canada. A commentary on the current state of knowledge regarding SCI-related pain is also provided. METHODS: Thirty-nine stakeholders (researchers, clinicians, policy-makers, SCI advocates, and people with SCI) attended the consensus-workshop. A modified Delphi approach was employed to gain consensus on identifying the top five SCI pain research priorities for improving QoL post-SCI. As well, project planning along with infrastructure support opportunities were discussed. RESULTS: The top five pain research priorities were: 1) pain management and treatment; 2) measurement tools; 3) health services policy and advocacy; 4) knowledge transfer; and 5) mechanisms of pain. Recommendations related to the priorities and related resources were generated, and pilot work was initiated. CONCLUSIONS: The consensus workshop provided an initial roadmap for research on SCI-related chronic pain, and supported five pilot projects on the identified priorities. Reflections on the current research landscape in Canada and abroad suggest increased activity towards addressing pain post-SCI but evidence-based approaches are still lacking.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".