Evidence map›Paper›PMID 29264866›Full record

ArticlePharmacoEconomics2018

Mapping the Paediatric Quality of Life Inventory (PedsQL™) Generic Core Scales onto the Child Health Utility Index-9 Dimension (CHU-9D) Score for Economic Evaluation in Children.

Tosin Lambe, Emma Frew, Natalie J Ives, Rebecca L Woolley, Carole Cummins, Elizabeth A Brettell, Emma N Barsoum, Nicholas J A Webb, PREDNOS Trial Team

Open access · greenAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Mapping PedsQL™ scores to CHU9D utility weights for children with chronic conditions in a multi-ethnic and deprived metropolitan population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Trial
  5. Protocolized Evaluation of Permissive Blood Pressure Targets Versus Usual Care (PRESSURE): Statistical Analysis Plan for the PRESSURE Trial.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2026
    Article
  6. Article
  7. Article
  8. Physician and informal care use explained by the Pediatric Quality of Life Inventory (PedsQL) in children with suspected genetic disorders.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  9. Article
  10. Mapping the 12-item World Health Organization disability assessment schedule 2.0 (WHODAS 2.0) onto the assessment of quality of life (AQoL)-4D utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Mapping the Peds QLFrontiers in public health · 2023
    Article
  15. Application of validated mapping algorithms between generic PedsQL scores and utility values to individuals with sickle cell disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  16. Article
  17. Article
  18. Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Tosin LambeHealth Economics Unit, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK.
Emma FrewHealth Economics Unit, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK. e.frew@bham.ac.uk.ORCID 0000-0002-5462-1158
Natalie J IvesBirmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Rebecca L WoolleyBirmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Carole CumminsInstitute of Applied Health Research, University of Birmingham, Birmingham, UK.
Elizabeth A BrettellBirmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Emma N BarsoumBirmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Nicholas J A WebbDepartment of Paediatric Nephrology and NIHR Manchester Clinical Research Facility, Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester, UK.
PREDNOS Trial Team
Cancer Research UK Clinical Trials Unit · GBManchester Academic Health Science Centre · GBUniversity of Birmingham · GB

Funding

Department of Health 08/53/31Department of Health HTA 08/53/31
6 · The paper itself

Abstract

backgroundThe Paediatric Quality of Life Inventory (PedsQL™) questionnaire is a widely used, generic instrument designed for measuring health-related quality of life (HRQoL); however, it is not preference-based and therefore not suitable for cost-utility analysis. The Child Health Utility Index-9 Dimension (CHU-9D), however, is a preference-based instrument that has been primarily developed to support cost-utility analysis.

objectiveThis paper presents a method for estimating CHU-9D index scores from responses to the PedsQL™ using data from a randomised controlled trial of prednisolone therapy for treatment of childhood corticosteroid-sensitive nephrotic syndrome.

methodsHRQoL data were collected from children at randomisation, week 16, and months 12, 18, 24, 36 and 48. Observations on children aged 5 years and older were pooled across all data collection timepoints and were then randomised into an estimation (n = 279) and validation (n = 284) sample. A number of models were developed using the estimation data before internal validation. The best model was chosen using multi-stage selection criteria.

resultsMost of the models developed accurately predicted the CHU-9D mean index score. The best performing model was a generalised linear model (mean absolute error = 0.0408; mean square error = 0.0035). The proportion of index scores deviating from the observed scores by <  0.03 was 53%.

conclusionsThe mapping algorithm provides an empirical tool for estimating CHU-9D index scores and for conducting cost-utility analyses within clinical studies that have only collected PedsQL™ data. It is valid for children aged 5 years or older. Caution should be exercised when using this with children younger than 5 years, older adolescents (>  13 years) or patient groups with particularly poor quality of life. ISRCTN REGISTRY NO: 16645249.

Indexed as

AdolescentAlgorithmsChildChild HealthChild, PreschoolFemaleHumansInfantInfant, NewbornMaleModels, StatisticalQuality of LifeRandomized Controlled Trials as TopicSurveys and Questionnaires

Identifiers

PMID29264866
OpenAlexW2781025528

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.