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Record W1974015356 · doi:10.1177/1367493513496909

Comparison of utility scores from the Visual Analog Scale and Health Utilities Index 3 in children following pediatric intensive care unit admission

2013· article· en· W1974015356 on OpenAlexaff
Shanil Ebrahim, Christopher S. Parshuram

Bibliographic record

VenueJournal of Child Health Care · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoMcMaster University
Fundersnot available
KeywordsMedicineVisual analogue scaleIntraclass correlationConfidence intervalPediatric intensive care unitHealth Utilities IndexQuality of life (healthcare)Intensive care unitHealth related quality of lifeEmergency medicinePediatricsPhysical therapyIntensive care medicinePsychometricsNursingInternal medicineClinical psychology

Abstract

fetched live from OpenAlex

Indirect and direct health-related quality of life (HRQoL) measures are intended to assess the same underlying constructs. There is evidence that the two types of assessments can show important differences. We assessed the agreement between the utilities of direct and indirect HRQoL measurements in children following pediatric intensive care unit (PICU) admission. We collected Health Utilities Index 3 (HUI-3) and Visual Analog Scale (VAS) ratings of children who were urgently admitted to the PICU of a university-affiliated pediatric hospital at ICU admission (baseline) and one month post-ICU admission. The mean (SD) VAS converted standard gamble and HUI-3 utilities were 0.82 (±0.19) and 0.70 (±0.39), respectively, at baseline (n = 51), and 0.81 (±0.15) and 0.58 (±0.39) at one month (n = 36). The VAS utilities were significantly greater than the HUI-3 utilities (p = 0.009). At baseline, the intraclass coefficient (95% confidence interval) was 0.49 (0.25-0.68), representing moderate agreement, and at one month, was 0.18 (-0.87 to 0.45), representing negligible agreement. There were significant differences between indirect and direct measures, and inconsistent agreement between utilities derived from the two measures. These data illustrate the potential impact of HRQoL assessment techniques on economic analyses used to inform health policy decision-making for pediatric critical care.

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)0.005
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 score0.115
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.185
GPT teacher head0.452
Teacher spread0.266 · 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

Citations7
Published2013
Admission routes1
Has abstractyes

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