Creating Video-Based Education Modules for Parents of Newly Diagnosed Pediatric Patients With Cancer
Bibliographic record
Abstract
BACKGROUND: Parents of children newly diagnosed with cancer are required to understand a significant amount of new information during a time of distress. Parents of children with cancer have expressed that concise information with visual cues, which can be repeated, positively influences their ability to understand. OBJECTIVES: The primary objective was to develop 2 concise, video-based education modules that are understandable to parents of children with cancer. A secondary objective was to determine feasibility of a future trial evaluating efficacy of video-based education. METHODS: The study was conducted in phases: script development, video creation, and feasibility testing. Topics were "managing fever at home" and "giving medications at home." Content was developed by pediatric oncology experts and turned into video scripts. Scripts were refined through cognitive interviews with parents of children with cancer. Feasibility testing included recruitment of 20 parents of a child given a diagnosis of cancer within 4 weeks. Parents watched both videos and answered questions that assessed their understanding and perceived confidence. RESULTS: Final scripts were reviewed by 25 participants. Feasibility was achieved with 20 parents recruited within 7 weeks, with 100% watching both videos and answering knowledge and confidence questions. CONCLUSIONS: We successfully developed 2 educational videos for parents of children newly diagnosed with cancer. A future trial to test the efficacy of video-based education modules is feasible. IMPLICATIONS TO PRACTICE: Delivering quality education to parents of children newly diagnosed with cancer can decrease parental distress and improve safe care during a high-risk time for treatment-related morbidity and mortality.
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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 | 0.000 |
| 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 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".