Evaluating the training needs for an epilepsy education program by assessing the beliefs and attitudes of families with children impacted by epilepsy.
Bibliographic record
Abstract
Background: The aftermath of a seizure for a child and their family alongside a lack of accessible epilepsy education programs reinforces a perceived loss of control and anxiety states. A virtual video teaching platform is being developed to allow families to connect with and learn about their child’s epilepsy. The queries and training needs of diverse patient groups must be addressed to ensure the platform’s personalization and success. 
 Objective: We assessed the training needs, beliefs, and attitudes through a questionnaire for families, taking into account epilepsy severity, time of their child’s diagnosis, and religiosity.Methods: Over two months, patients of the Alberta Children Hospital’s Neuroscience outpatient clinic were contacted to complete the survey. We focused on analyzing how families’ beliefs towards the causes, treatment, and manifestations of epilepsy influenced training needs and interest and whether that is correlated with epilepsy severity, time of diagnosis, and religiosity. A one-way ANOVA was conducted.
 Results: 67 families responded to the survey. Families with a recent initial seizure were more inclined to believe in more environmental and behavioral causes of epilepsy. Those with longer-standing epilepsy believed in more medical causes for epilepsy. More religious families were slightly inclined to believe in prayers and miracles as treatment. All groups presented a high interest in the video topics, with more religious families drawn to the ‘Life with Epilepsy’ module videos.
 Conclusions: These results will ensure the program design facilitates understanding of epilepsy, leading to expedited social integration, better coping, and reduced mental health comorbidities for all patient groups.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".