Comment on: 'Mapping the Paediatric Quality of Life Inventory (PedsQL (TM)) Generic Core Scales Onto the Child Health Utility Index-9 Dimension (CHU-9D) Score for Economic Evaluation in Children'
| Autor: | Lambe, T, Frew, E, Ives, NJ, Woolley, RL, Cummins, C, Brettell, EA, Barsoum, EN, Webb, NJA, Prednos Trial Team, Ray, DW |
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| Přispěvatelé: | Ray, D |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Index (economics) Psychometrics Adolescent Cost-Benefit Analysis Sample (statistics) Health administration law.invention 03 medical and health sciences 0302 clinical medicine Quality of life Randomized controlled trial law Surveys and Questionnaires medicine Humans 030212 general & internal medicine Child Randomized Controlled Trials as Topic Pharmacology Models Statistical Data collection business.industry 030503 health policy & services Health Policy Child Health Infant Newborn Linear model Public Health Environmental and Occupational Health Infant Child Preschool Economic evaluation Quality of Life Physical therapy Female 0305 other medical science business Algorithms |
| Zdroj: | PHARMACOECONOMICS |
| Popis: | 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.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.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.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.16645249. |
| Databáze: | OpenAIRE |
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