Hank the Heart and Animation‐Based Education for Pulmonary Hypertension
Bibliographic record
Abstract
Pulmonary hypertension (PH) is a rare, complex disease affecting both children and adults. Efforts to provide health education are imperative as health literacy impacts patient and caregiver capacity to acquire, process, and understand health information and make informed health decisions. The current study sought to understand patient and family perception of "Hank the Heart", an animation used for enhancing health literacy, and preferred learning methods for future educational preferences. A qualitative study was conducted to assess the "Hank the Heart" animation using focus groups of family caregivers and patients. Focus group and interview transcripts underwent inductive thematic analysis. Patients and families have complicated health and educational needs that require a personalized approach, and they identified with the animated character as a representation of their reality. We identified three primary themes: (1) An animated video was found to be helpful but not sufficient to address all caregiver and patient educational needs, (2) Parents and children resonated strongly with elements of the video that represent their own experiences, and (3) Patient and family centered ongoing and tailored education is needed. The use of animation videos as a form of education was well received. Patient and family insights and suggestions were offered for improving future animation development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".