A discrete choice experiment to derive health utilities for Aromatic L-amino Acid Decarboxylase (AADC) deficiency

Smith, Adam B., Hanbury, Andria, Whitty, Jennifer ORCID: https://orcid.org/0000-0002-5886-1933 and Buesch, Katharina (2021) A discrete choice experiment to derive health utilities for Aromatic L-amino Acid Decarboxylase (AADC) deficiency. Patient Related Outcome Measures, 12. 97—106. ISSN 1179-271X

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Abstract

Purpose : Deriving health utilities for rare medical conditions such as aromatic L-amino acid decarboxylase (AADC) deficiency poses challenges. The rarity of AADC deficiency and the fact that this genetic condition often presents in very young children means that robust utility values cannot be derived from the child or their parent/caregiver. Alternative approaches, eg, discrete choice experiments (DCE), are required in order to provide health utilities. The aim of the study was to generate health utilities for AADC deficiency using a DCE. Methods : The DCE was completed online by panel participants from a UK representative sample. The DCE comprised 6 AADC deficiency attributes (2– 6 levels): mobility, muscle weakness, oculogyric crises, feeding ability, cognitive impairment and screaming. These were identified from published literature, clinician input, parent interviews and expert opinion. Participants were presented with 10 choice sets specified using an orthogonal design, including a repeat task to evaluate choice consistency. Participants were presented with 5 health state vignettes prior to the DCE. These were used to elicit time trade-off (TTO) utilities. Multinomial logit models were estimated for the DCE data. The TTO utilities for the worst/best health states were used as anchors to convert indirect DCE part-worth utilities to health utilities. Results : A total of 1596 participants completed the DCE. The majority (70.7%) gave consistent responses to the repeated choice task; only 1.7% (27) always chose the same alternative for every choice set. Five models were evaluated. There was one preference reversal (“sitting unaided”/“standing with assistance”) occurring in all models; these two mobility level coefficients were set to be equal in the final model. Rescaled utilities ranged from 0.494 to 0.7279, corresponding to the worst (633233) and best (111111) health states. Conclusion : Health utilities were derived for AADC deficiency through a DCE. These will be used for a cost-effectiveness model of an AADC deficiency treatment.

Item Type:	Article
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging Faculty of Medicine and Health Sciences > Research Groups > Respiratory and Airways Group Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Health Economics
Depositing User:	LivePure Connector
Date Deposited:	12 May 2021 00:20
Last Modified:	24 May 2023 04:32
URI:	https://ueaeprints.uea.ac.uk/id/eprint/79980
DOI:	10.2147/PROM.S294628

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