IDEAS home Printed from https://ideas.repec.org/a/spr/patien/v10y2017i1d10.1007_s40271-016-0190-z.html
   My bibliography  Save this article

EQ-5D Health Utility Scores: Data from a Comprehensive Canadian Cancer Centre

Author

Listed:
  • Hiten Naik

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Doris Howell

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Susie Su

    (Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre)

  • Xin Qiu

    (Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre)

  • M. Catherine Brown

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Ashlee Vennettilli

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Margaret Irwin

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Vivien Pat

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Hannah Solomon

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Tian Wang

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Henrique Hon

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Lawson Eng

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Mary Mahler

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Henry Thai

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Valerie Ho

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

  • Wei Xu

    (Biostatistics, Ontario Cancer Institute, Princess Margaret Cancer Centre)

  • Soo Jin Seung

    (Sunnybrook Research Institute)

  • Nicole Mittmann

    (Sunnybrook Research Institute
    University of Toronto
    Cancer Care Ontario)

  • Geoffrey Liu

    (Princess Margaret Cancer Centre, Ontario Cancer Institute)

Abstract

Background To improve the precision of health economics analyses in oncology, reference datasets of health utility (HU) scores are needed from cancer survivors across different disease sites. These data are particularly sparse amongst Canadian survivors. Methods A survey was completed by 1759 ambulatory cancer survivors at the Princess Margaret Cancer Centre which contained demographic questions and the EuroQol-5D (EQ-5D) instrument. Clinical information was abstracted from electronic records and HU scores were calculated using Canadian health state valuations. Construct validity was assessed through correlation of HU and visual analog scale (VAS) scores (Spearman) and by comparing HU scores between performance status groups (effect size). The influence of socio-demographic clinical variables on HU was analyzed by non-parametric between-group comparisons and multiple linear regression. Results Mean EQ-5D HU scores were derived for 26 cancers. Among all survivors, the mean ± standard error of the mean EQ-5D utility score was 0.81 ± 0.004. Scores varied significantly by performance status (p

Suggested Citation

  • Hiten Naik & Doris Howell & Susie Su & Xin Qiu & M. Catherine Brown & Ashlee Vennettilli & Margaret Irwin & Vivien Pat & Hannah Solomon & Tian Wang & Henrique Hon & Lawson Eng & Mary Mahler & Henry Th, 2017. "EQ-5D Health Utility Scores: Data from a Comprehensive Canadian Cancer Centre," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(1), pages 105-115, February.
  • Handle: RePEc:spr:patien:v:10:y:2017:i:1:d:10.1007_s40271-016-0190-z
    DOI: 10.1007/s40271-016-0190-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40271-016-0190-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40271-016-0190-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:patien:v:10:y:2017:i:1:d:10.1007_s40271-016-0190-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.