Development and validation of a health related quality of life questionnaire for Brazilian children with epilepsy: preliminary findings
Bibliographic record
Abstract
PURPOSE: To construct a multidimensional questionnaire that analyses the epileptic child quality of life from the parental point of view. METHOD: The pilot questionnaire was composed of 157 questions distributed in several dimensions. Fifty-one epileptic children's parents answered the questionnaire. The instrument was tested in its diverse properties: frequency of endorsement, homogeneity (Cronbach alpha), criterion and face validity, and later it was reduced. RESULTS: Endorsement frequency excluded 65 questions that did not attain a minimum of 5% response per item. Cronbach alpha was as follows: physical (0.93), psychological (0.91), social (0.91), familiar (0.70), cognitive (0.92), medical (0.30) and economical (0.37). Patient groups, in relation to seizure control, significantly differed only in physical domain and total score, although there was a trend to differences in other domains. The final questionnaire (QVCE50) has 50 items, with good homogeneity in the physical, psychological and cognitive domains. CONCLUSION: QVCE-50 is a promissing Brazilian HRQL questionnaire for children with epilepsy. It needs to be applied in a larger population to confirm its psychometric properties.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".