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Record W7073564840

Health-related quality of life of children with epilepsy in Hong Kong: How does it compare with that of youth with epilepsy in Canada?

2008· article· en· W7073564840 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Bank (Australian Catholic University) · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEpilepsyIntraclass correlationQuality of life (healthcare)Affect (linguistics)Test (biology)CognitionProxy (statistics)CorrelationPsychometricsPearson product-moment correlation coefficient
DOInot available

Abstract

fetched live from OpenAlex

Objective: The primary aim of our study was to compare the health-related quality of life (HRQL) of children with epilepsy in Hong Kong with that of children with epilepsy in Canada, and to explore possible factors affecting these findings. A second interest was to determine agreement between proxy reports and self-ratings among children with epilepsy in Hong Kong, compare these with findings in Canada, and identify factors that influence the concordance. Methods: Child self-report and parent-proxy questionnaires on an epilepsy-specific HRQL measure, appropriately translated and validated in Chinese, were administered to 266 Hong Kong children and their parents. An unpaired t test was used to compare the scores with published results from 381 Canadian children and their parents, who used the original English version of the measure. Demographic characteristics of the two groups were compared using t tests, χ2 tests, and Fisher’s exact tests. Agreement between parents’ and children’s scores was evaluated with intraclass correlation coefficients (ICCs) and standardized response means (SRMs). The total HRQL score differences between parents and children in Hong Kong were compared with those in Canada using an unpaired t test. Factors that might affect the parent–child score difference were studied using Pearson correlation analysis, χ2 test, and analysis of variance. Factors studied included: sex, current age, age at diagnosis, duration of epilepsy, number of antiepileptic drugs used, type of seizure, seizure severity, cognition of the child, the type of school attended, presence of neurological problems, presence of behavioral problems, recent health care usage, education and employment status of both parents, housing status of the family, and relationship of the proxy respondent to the child. Results: (1) In contrast to the Canadian sample, Hong Kong children with epilepsy were older (P < 0.01), had a longer duration of epilepsy (P < 0.01) and less severe seizures (P < 0.01), and were more likely to attend normal schools (P < 0.01). Children in Hong Kong reported more interpersonal/social difficulties (P < 0.01), more worries (P < 0.01), and more secrecy about their epilepsy (P < 0.01). Parents in Hong Kong believed that their children perceived more worries (P < 0.01) and were more secretive about their epilepsy (P < 0.01). (2) Moderate to good agreement between parent-proxy response scores and child self-report scores was demonstrated (ICC = 0.50–0.69, SRM = 0.19–0.33). The total HRQL score differences between parent and child in Hong Kong were not different from those in Canada. None of the factors studied were related to the parent–child score difference. Conclusions: Youth with epilepsy in Hong Kong and their parents reported poorer quality of life than children with epilepsy in Canada. Further studies are necessary to identify the determinants of HRQL in children with epilepsy in different cultures. Acceptable agreement between the two ratings suggests that proxy reports can be used when child self-reports cannot be obtained.

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)0.000
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 score0.082
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.150
GPT teacher head0.257
Teacher spread0.107 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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