Evaluating distance education of a mindfulness-based meditation programme for chronic pain management
Bibliographic record
Abstract
Patients with chronic pain were recruited from two large urban hospitals and from rural hospitals in Ontario. Patients on the waiting list served as controls. The intervention was a Mindfulness-Based Chronic Pain Management course, delivered to patients for two hours per week for 10 weeks. Pre- and postcourse measures of quality of life, pain catastrophizing and usual pain ratings were collected over a period of two years. Patients received the course via traditional face-to-face, in-person teaching (Present site group) or via videoconferencing at their local hospital site (Distant site group). In all, there were 99 Present site participants, 57 at Distant sites and 59 waitlist controls. Patients at Present and Distant sites achieved similar gains in mental health (P < 0.01) and pain catastrophizing levels (P < 0.01) relative to controls. However, the Present site group obtained significantly higher scores on the physical dimension of quality of life (P < 0.01) and lower usual-pain ratings (P < 0.05) than the Distant site group. The results suggest that videoconferencing is an effective mode of delivery for the Mindfulness course and may represent a new way of helping chronic pain patients in rural areas manage their suffering.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".