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Record W7133000255

Validation of the IMPACT questionnaire for measuring health-related quality of life in paediatric inflammatory bowel disease: sensibility, validity and reliability testing in a paediatric cohort

2004· dissertation· W7133000255 on OpenAlexfundno aff
Anthony Roger Otley

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersHospital for Sick Children
KeywordsConstruct validityIntraclass correlationQuality of life (healthcare)Inflammatory bowel diseaseReliability (semiconductor)Gold standard (test)ValidityCohortInternal consistency
DOInot available

Abstract

fetched live from OpenAlex

IMPACT, a disease-specific measure of health-related quality of life (HRQOL) in paediatric inflammatory bowel disease (IBD). The goals of this thesis were to assess IMPACT's sensibility, validity and reliability. Using Feinstein's principles a qualitative and 'quantitative' assessment of sensibility was conducted. The patient and physician participants strongly endorsed the sensibility of IMPACT. The IMPACT total score showed excellent test-retest reliability with an intraclass correlation coefficient of 0.90. The internal consistency rating was also excellent with a Cronbach's alpha of 0.96. Construct validity testing was conducted because of the lack of a gold standard with which to assess HRQOL. All constructs supported the validity of the questionnaire for measuring HRQOL in paediatric IBD patients. No significant influence of patient diagnosis (Crohn's disease or ulcerative colitis) or age was noted. A patient's assessment of their HRQOL appears to be most influenced by their current status, rather their disease course over the past year.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), 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
Published2004
Admission routes1
Has abstractyes

Explore more

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