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Development and validation of a health related quality of life questionnaire for Brazilian children with epilepsy: preliminary findings

2005· article· en· W2111356099 on OpenAlexfundno aff
Heber de Souza Maia Filho, Marleide da Mota Gomes, Lucia Maria da Costa Fontenelle

Bibliographic record

VenueArquivos de Neuro-Psiquiatria · 2005
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsnot available
FundersUniversidade Federal do Rio de JaneiroHospital for Sick ChildrenYork University
KeywordsCronbach's alphaPsychologyCognitionEpilepsyPopulationConstruct validityFace validityClinical psychologyQuality of life (healthcare)MedicinePsychometricsPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.323
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2005
Admission routes1
Has abstractyes

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