Time Trade-Off Utilities for Hereditary Angioedema Health and Caregiver States View Full Text


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Article Info

DATE

2021-09-17

AUTHORS

Siu Hing Lo, Andrew Lloyd, Shuayb Elkhalifa, Zlatko Sisic, Floortje E. van Nooten

ABSTRACT

BackgroundHereditary angioedema (HAE) is an inherited chronic rare disease characterised by recurrent swelling attacks that are associated with significant physical and psychological burden. There is limited understanding of the effect of attack location on this burden and of caregiver burden.ObjectiveOur objective was to capture the relative burden of HAE health and caregiver states, including different attack locations, through a time trade-off (TTO) analysis involving participants from the general public.MethodsQualitative interviews were undertaken to inform vignette development for the TTO study, including vignettes for abdominal, facial, hand and laryngeal attack health states, and an attack-free and caregiver state. Members of the general public in England rated vignettes in TTO interviews, which included a visual analogue scale (VAS) component. For the development of the health state vignettes, qualitative interviews with 15 patients, 5 caregivers and 1 clinical expert were performed. TTO analysis was based on vignette valuation completed by 100 members of the general public.ResultsThe TTO values were as follows: attack-free, 0.783 (standard deviation [SD] 0.316); hand: 0.582 (SD 0.380); facial: 0.483 (SD 0.448); abdominal: 0.345 (SD 0.458); and laryngeal: 0.128 (SD 0.529). The caregiver rating was 0.762 (SD 0.303). V′ scores were similar and consistent with TTO values.ConclusionTTO utility values demonstrate that HAE places a significant burden on patients, which is influenced by attack location, and on caregivers. These utility weights can provide important information on quality of life for future economic evaluations of treatments. More... »

PAGES

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  • <error retrieving object. in <ERROR RETRIEVING OBJECT
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    http://scigraph.springernature.com/pub.10.1007/s41669-021-00302-6

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    https://app.dimensions.ai/details/publication/pub.1141165883

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34532843


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