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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

Author

Listed:
  • Tosin Lambe

    (University of Birmingham)

  • Emma Frew

    (University of Birmingham)

  • Natalie J. Ives

    (University of Birmingham)

  • Rebecca L. Woolley

    (University of Birmingham)

  • Carole Cummins

    (University of Birmingham)

  • Elizabeth A. Brettell

    (University of Birmingham)

  • Emma N. Barsoum

    (University of Birmingham)

  • Nicholas J. A. Webb

    (Royal Manchester Children’s Hospital)

Abstract

Background The 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. Objective This 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. Methods HRQoL 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. Results Most 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 13 years) or patient groups with particularly poor quality of life. ISRCTN Registry No 16645249

Suggested Citation

  • Tosin Lambe & Emma Frew & Natalie J. Ives & Rebecca L. Woolley & Carole Cummins & Elizabeth A. Brettell & Emma N. Barsoum & Nicholas J. A. Webb, 2018. "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," PharmacoEconomics, Springer, vol. 36(4), pages 451-465, April.
    • Handle: RePEc:spr:pharme:v:36:y:2018:i:4:d:10.1007_s40273-017-0600-7
    DOI: 10.1007/s40273-017-0600-7
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    References listed on IDEAS

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    2. Christine Mpundu-Kaambwa & Gang Chen & Remo Russo & Katherine Stevens & Karin Dam Petersen & Julie Ratcliffe, 2017. "Mapping CHU9D Utility Scores from the PedsQLTM 4.0 SF-15," PharmacoEconomics, Springer, vol. 35(4), pages 453-467, April.
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    Cited by:

    1. Chris Sampson;Martina Garau, 2019. "How Should We Measure Quality of Life Impact in Rare Disease? Recent Learnings in Spinal Muscular Atrophy," Briefing 002146, Office of Health Economics.
    2. Christine Mpundu-Kaambwa & Gang Chen & Elisabeth Huynh & Remo Russo & Julie Ratcliffe, 2019. "Mapping the PedsQL™ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample," PharmacoEconomics, Springer, vol. 37(9), pages 1139-1153, September.
    3. Asrul Akmal Shafie & Irwinder Kaur Chhabra & Jacqueline Hui Yi Wong & Noor Syahireen Mohammed, 2021. "Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 735-747, July.

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