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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.
Lambe, Tosin; Frew, Emma; Ives, Natalie J; Woolley, Rebecca L; Cummins, Carole; Brettell, Elizabeth A; Barsoum, Emma N; Webb, Nicholas J A.
Afiliação
  • Lambe T; Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK.
  • Frew E; Health Economics Unit, Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, UK. e.frew@bham.ac.uk.
  • Ives NJ; Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
  • Woolley RL; Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
  • Cummins C; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Brettell EA; Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
  • Barsoum EN; Birmingham Clinical Trials Unit, University of Birmingham, Birmingham, UK.
  • Webb NJA; Department of Paediatric Nephrology and NIHR Manchester Clinical Research Facility, Manchester Academic Health Science Centre, Royal Manchester Children's Hospital, Manchester, UK.
Pharmacoeconomics ; 36(4): 451-465, 2018 04.
Article em En | MEDLINE | ID: mdl-29264866
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 <  0.03 was 53%.

CONCLUSIONS:

The 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.
Assuntos

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Saúde da Criança / Inquéritos e Questionários Tipo de estudo: Clinical_trials / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Saúde da Criança / Inquéritos e Questionários Tipo de estudo: Clinical_trials / Health_economic_evaluation / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Child, preschool / Female / Humans / Infant / Male / Newborn Idioma: En Ano de publicação: 2018 Tipo de documento: Article