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The Impact of the Child with Thalassemia On the Family: Parental Assessment by Child Health Questionnaire.

2009· article· en· W2556728766 on OpenAlexaffabout
Robert Yamashita, Amy Sobota, Felicia Trachtenberg, Yan Xu, Zahra Pakbaz, Isaac Odame, Alexis A. Thompson, Dru Foote, Dorothy A. Kleinert, Patricia J. Giardina, Charles T. Quinn, Janet L. Kwiatkowski, Ellis J. Neufeld, Leann Schilling, Jeanne Boudreaux

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPopulationThalassemiaMedicineQuality of life (healthcare)Context (archaeology)CohortDemographyPediatricsPsychologyClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 1371 Poster Board I-393 The study examines the quality of life (QOL) of pediatric thalassemia patients and their families enrolled in the Thalassemia Longitudinal Cohort (TLC) study of the NHLBI-sponsored Thalassemia Clinical Research Network, which comprises 17 centers in the US, Canada, and London, UK. The study evaluates 99 baseline responses to the Children's Health Questionnaire (CHQ) PF28, a self-administered survey filled out by the parent or guardian of patients age 5 y and older. The CHQ utilizes 12 scales that can be grouped into parental assessments of the child's physical well-being; mental, emotional and behavioral health; and the familial context. We previously showed that compared to the US population, the thalassemia population is significantly different on 7 of the 12 scales. Here we evaluate these data by patient gender, race, age, and chelator type. The mean age of the population was 9.7 y (range 5.0-13.8 y), with 48% male, and 65% non-white. While parents assessed males to have a lower QOL than females, the only significant difference was in their assessment of the child's emotional role/behavior (school or friends). When comparing white to non-white (predominantly Asian) patients, with the exception of bodily pain, non-white thalassemia patients reported poorer PF28 scores. However, only the reported impact on parental time and emotion are significant. These variances appear to mirror the US population. Figure 1 shows PF28 summary scores by age in thalassemia compared to the general US population. Parents evaluate their child with thalassemia with lower physical health than US norms (p<0.0001), with an apparent decline in scores in adolescents (though p=0.10 for age effect). In contrast, psychosocial scores are close to US norms (p=0.81). Finally, when CHQ PF28 assessments are compared by chelator type (subcutaneous deferoxamine vs. oral deferasirox), parents report that children receiving deferoxamine have generally lower QOL than the rating for those receiving Deferasirox. However, the only significant differences are with perceived physical function, impact on family activities, and the overall physical summary scale. The CHQ PF28 data provides important insight into the impact the child with thalassemia has on the family. Although psychosocial QOL is similar, children, and especially adolescents, with thalassemia have lower physical QOL, especially those on chelation with Deferoxamine. Because PF28 takes the parents' point of view, it can't be determined from these data alone whether the reported difference between parenteral and oral chelator would hold true for direct patient assessments. The gender of the child also appears to affect parental expectation of the child's QOL. These data validate the observational evidence that a child with thalassemia has a significant impact on the family. Figure 1 TLC CHQ PF28 Summary Scales compared to US norms Figure 1. TLC CHQ PF28 Summary Scales compared to US norms Disclosures: Odame: Novartis: Consultancy, Speakers Bureau. Thompson: Novartis: Research Funding. Neufeld: Novartis: Research Funding.

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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)0.000
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 score0.353
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.261
Teacher spread0.257 · 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

Citations6
Published2009
Admission routes2
Has abstractyes

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