Managing Chronic Pain in the Classroom: Development and Usability Testing of an eHealth Educational Intervention for Educators
Bibliographic record
Abstract
Although chronic pain is relatively common in childhood, many teachers feel ill-prepared to work with students with chronic and recurrent pain in the classroom and would like to learn more about supporting these students. A web-based eHealth intervention designed to provide information about pain and pain management in the classroom was developed based on input from clinicians, and usability was tested using three groups of stakeholders (i.e., youth with chronic pain, parents of youth with chronic pain, and teachers). Preliminary testing indicated that the usability goals were met, with the majority of participants in all groups indicating that the website was easy to use and that they would either recommend it to teachers or use it themselves. Minor design and content changes were suggested and made, whereas major changes will be made in the future. Results provide encouraging preliminary support for the utility of eHealth interventions as knowledge translation and dissemination tools for educators.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".