Co-design of the web-based ‘My Knee’ education and self-management toolkit for people with knee osteoarthritis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective Describe the co-design process and learnings related to developing the web-based Translating Research Evidence and Knowledge (TREK) ‘My Knee’ education and self-management toolkit for people with knee osteoarthritis. Co-design process Stage (i): Understand and define; systematically reviewed education interventions in published trials; appraised web-based information about knee osteoarthritis; and used concept mapping to identify education priorities of people with knee osteoarthritis and physiotherapists. Stage (ii): Prototype; created a theory-, guideline- and evidence-informed toolkit. Stage (iii): Test and iterate; completed three co-design workshops with end-users (i.e., people with knee osteoarthritis and health professionals); plus an expert review. Results The toolkit is available at myknee.trekeducation.org. Stage (i) identified the need for more accurate and co-designed resources to address broad education needs generated during concept mapping, including guidance on surgery, dispelling common misconceptions and facilitating engagement with exercise therapy and weight management. A theory- and research-informed prototype was created in Stage (ii) to address broad learning and education needs. Stage (iii) co-design workshops ( n = 15 people with osteoarthritis and n = 9 health professionals) informed further content creation and refinement, alongside improvements to optimise usability. Expert opinion review ( n = 8) further refined accuracy and usability. Conclusions The novel co-design methodology employed to create the TREK ‘My Knee’ toolkit facilitated the alignment of the content and usability to meet the broad education needs of people with knee osteoarthritis and health professionals. This toolkit aims to improve and facilitate engagement with guideline-recommended first-line care for people with knee osteoarthritis. Future work will determine its effectiveness in improving clinical outcomes in this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 it