Determining Patient Readiness to Share Their Healthcare Stories: A Tool for Prospective Patient Storytellers to Determine Their Readiness to Discuss Their Healthcare Experiences
Bibliographic record
Abstract
Patient stories can serve as educational tools for healthcare providers. Inherent risks to the patients sharing their medical stories do exist. Despite the positive impact that patient storytelling can have in healthcare delivery, it is important to ensure the safety of those patients who chose to share their medical experiences. A novel questionnaire was developed by a diverse group of healthcare and patient partner experts. This questionnaire would serve as a self-reflective tool that prospective storytellers would complete in order to assess their readiness to proceed with storytelling as an educational tool. This draft questionnaire was then distributed to the 10 prospective patient storytellers registered to complete our pilot workshop on preparing the patient stories where they were asked to provide feedback. Overall, feedback was positive, and minor alterations were made to the questionnaire, resulting in the novel creation of this readiness assessment tool.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".