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Health Utilities Using the EQ-5D in Studies of Cancer

Author

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  • A. Pickard
  • Caitlyn Wilke
  • Hsiang-Wen Lin
  • Andrew Lloyd

Abstract

Cancer is one of the most frequent disease-specific applications of the EQ-5D. The objective of this review was to summarise evidence to support the validity and reliability of the EQ-5D in cancer, and to provide a catalogue of utility scores based on the use of the EQ-5D in clinical trials and in studies of patients with cancer. A structured literature search was conducted in EMBASE and MEDLINE to identify papers using key words related to cancer and the EQ-5D. Original research studies of patients with cancer that reported EQ-5D psychometric properties, responses and/or summary scores were included. Of 57 identified articles, 34 were selected for inclusion, where 12 studies reported evidence of validity or reliability and 31 reported EQ-5D responses or summary scores. The majority of investigations using the EQ-5D concerned patients with prostate cancer (n=4), breast cancer (n=4), cancers of the digestive system (n=7) and Hodgkin and/or non-Hodgkin lymphoma (n=3). Mean index based scores ranged from 0.33 (SD 0.4) to 0.93 (SD 0.12) and visual analogue scale scores ranged from 43 (SD 13.3) to 84 (SD 12.0) across subtypes of cancer. A substantial and growing body of literature using the EQ-5D in cancer that supports the validity and reliability of EQ-5D in cancer has emerged. This review provides utility estimates for cancer patients across a wide range of cancer subtypes, treatment regimens and tumour stage(s) that may inform the modelling of outcomes in economic evaluations of cancer treatment. Copyright Adis Data Information BV 2007

Suggested Citation

  • A. Pickard & Caitlyn Wilke & Hsiang-Wen Lin & Andrew Lloyd, 2007. "Health Utilities Using the EQ-5D in Studies of Cancer," PharmacoEconomics, Springer, vol. 25(5), pages 365-384, May.
    • Handle: RePEc:spr:pharme:v:25:y:2007:i:5:p:365-384
    DOI: 10.2165/00019053-200725050-00002
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    References listed on IDEAS

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    1. Karen Gerard & Katharine Johnston & Jackie Brown, 1999. "The role of a pre‐scored multi‐attribute health classification measure in validating condition‐specific health state descriptions," Health Economics, John Wiley & Sons, Ltd., vol. 8(8), pages 685-699, December.
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    Citations

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    Cited by:

    1. Aureliano Paolo Finch & John Edward Brazier & Clara Mukuria, 2018. "What is the evidence for the performance of generic preference-based measures? A systematic overview of reviews," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(4), pages 557-570, May.
    2. S. Olofsson & U.-G. Gerdtham & L. Hultkrantz & U. Persson, 2018. "Measuring the end-of-life premium in cancer using individual ex ante willingness to pay," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 807-820, July.
    3. Mihyun Jeong, 2020. "Predictors of Health-Related Quality of Life in Korean Adults with Diabetes Mellitus," IJERPH, MDPI, vol. 17(23), pages 1-14, December.
    4. Koonal K. Shah & Bryan Bennett & Andrew Lenny & Louise Longworth & John E. Brazier & Mark Oppe & A. Simon Pickard & James W. Shaw, 2021. "Adapting preference-based utility measures to capture the impact of cancer treatment-related symptoms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(8), pages 1301-1309, November.
    5. Philippe Fagnoni & Noel Milpied & Samuel Limat & Eric Deconinck & Virginie Nerich & Charles Foussard & Philippe Colombat & Jean-Luc Harousseau & Marie-Christine Woronoff-Lemsi, 2009. "Cost Effectiveness of High-Dose Chemotherapy with Autologous Stem Cell Support as Initial Treatment of Aggressive Non-Hodgkin’s Lymphoma," PharmacoEconomics, Springer, vol. 27(1), pages 55-68, January.
    6. Henry, Edward & Cullinan, John, 2021. "Mental health spillovers from serious family illness: Doubly robust estimation using EQ-5D-5L population normative data," Social Science & Medicine, Elsevier, vol. 279(C).

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