Collaborating with patients and caregivers to create web-based educational resources for people affected by cirrhosis
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: To describe the development of multimodal, web-based educational resources about cirrhosis alongside patients and caregivers. Methods: We used an iterative process that was guided by the Strategy for Patient Oriented Research (SPOR) patient engagement framework in describing patient engagement activities to partner with a team of 16 patients and caregivers (Patient Advisory Team (PAT)). This process included five phases: a) Prioritize and gather content, b) design and build the website and videos, c) gather and integrate feedback, d) improve user accessibility, and e) assess usability and knowledge uptake for users. Results: This 2-year process resulted in a 55-page website and 78 animated and live-action videos on cirrhosis complications, procedures, nutrition, and exercise. We implemented usability testing through pre-defined tasks and a think-aloud method from individuals with no previous exposure to the website to assess navigation, appearance, and content issues. Following usability testing, we have been gathering quantitative data from each unique page about relevance and ease of use, as well as qualitative data on the value of the content itself. Conclusions: Collaboration between clinicians, patients, and caregivers is key to developing high-quality digital educational resources. Lessons from our process may help other organizations looking to address disease-specific knowledge gaps. Next steps with www.cirrhosiscare.ca will be continued iterative refinement and structured impact evaluation. Innovation: This project used a patient-centered approach to develop a comprehensive online educational resource for patients with cirrhosis. By having patients with cirrhosis as a key part of our team, we ensured that the site met the needs of this unique population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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) | 0.000 | 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