“Stories Take Your Role Away From You”: Understanding the Impact on Health Care Professionals of Viewing Digital Stories of Pediatric and Adolescent/Young Adult Oncology Patients
Bibliographic record
Abstract
The purpose of this philosophical hermeneutic study was to understand the effects on health care providers (HCPs) of watching digital stories made by (past and present) pediatric and adolescent/young adult (AYA) oncology patients. Twelve HCPs participated in a focus group where they watched digital stories made by pediatric/AYA oncology patients and participated in a discussion related to the impact the stories had on them personally and professionally. Findings from this research revealed that HCPs found digital stories to be powerful, therapeutic, and educational tools. Health care providers described uses for digital stories ranging from education of newly diagnosed families to training of new staff. Digital stories, we conclude, can be an efficient and effective way through which to understand the patient experience, implications from which can range from more efficient patient care delivery to decision making. Recommendations for incorporating digital storytelling into healthcare delivery are offered.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".