TY - JOUR
T1 - Estimating health state utilities associated with a rare disease
T2 - familial chylomicronemia syndrome (FCS)
AU - Matza, Louis S.
AU - Phillips, Glenn A.
AU - Howell, Timothy A.
AU - Ciffone, Nicole
AU - Ahmad, Zahid
N1 - Funding Information:
This study was funded by Akcea Therapeutics.
Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Aims: Familial chylomicronemia syndrome (FCS) is a rare genetic disorder with no currently approved therapies. Treatments are in development, and cost-utility analyses will be needed to examine their value. These models will require health state utilities representing FCS. Therefore, the purpose of this study was to estimate utilities for FCS and an associated episode of acute pancreatitis (AP). Methods: Because it is not feasible to gather a large enough sample of patients with this extremely rare condition to complete standardized preference-based measures, vignette-based methods were used to estimate utilities. In time trade-off interviews, general population participants in the UK and Canada valued health state vignettes drafted based on literature review, clinician input, and interviews with patients. Four health states described variations of FCS. A fifth health state, describing AP, was added to one of the other health states to evaluate its impact on utility. Results: A total of 308 participants provided utility data (208 UK; 100 Canada). Mean utilities for FCS health states ranged from 0.46 to 0.83, with higher triglycerides, more severe symptoms, and a history of AP associated with lower utility values. The disutility (i.e. utility decrease) of AP ranged from –0.17 to –0.25, with variations depending on the health state to which it was added. Utility means were similar in the UK and Canada. Conclusions: The vignette-based approach is useful for estimating utilities of a rare disease. The health state utilities derived in this study would be useful in models examining cost-effectiveness of treatments for FCS.
AB - Aims: Familial chylomicronemia syndrome (FCS) is a rare genetic disorder with no currently approved therapies. Treatments are in development, and cost-utility analyses will be needed to examine their value. These models will require health state utilities representing FCS. Therefore, the purpose of this study was to estimate utilities for FCS and an associated episode of acute pancreatitis (AP). Methods: Because it is not feasible to gather a large enough sample of patients with this extremely rare condition to complete standardized preference-based measures, vignette-based methods were used to estimate utilities. In time trade-off interviews, general population participants in the UK and Canada valued health state vignettes drafted based on literature review, clinician input, and interviews with patients. Four health states described variations of FCS. A fifth health state, describing AP, was added to one of the other health states to evaluate its impact on utility. Results: A total of 308 participants provided utility data (208 UK; 100 Canada). Mean utilities for FCS health states ranged from 0.46 to 0.83, with higher triglycerides, more severe symptoms, and a history of AP associated with lower utility values. The disutility (i.e. utility decrease) of AP ranged from –0.17 to –0.25, with variations depending on the health state to which it was added. Utility means were similar in the UK and Canada. Conclusions: The vignette-based approach is useful for estimating utilities of a rare disease. The health state utilities derived in this study would be useful in models examining cost-effectiveness of treatments for FCS.
KW - FCS
KW - Utility
KW - acute pancreatitis
KW - familial chylomicronemia syndrome
KW - rare disease
KW - time trade-off
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U2 - 10.1080/13696998.2020.1776719
DO - 10.1080/13696998.2020.1776719
M3 - Article
C2 - 32479143
AN - SCOPUS:85087503574
SN - 1369-6998
VL - 23
SP - 978
EP - 984
JO - Journal of Medical Economics
JF - Journal of Medical Economics
IS - 9
ER -