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

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 Thai, Valerie Ho, Wei Xu, Soo Jin Seung, Nicole Mittmann and Geoffrey Liu ()
Additional contact information
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
Geoffrey Liu: Princess Margaret Cancer Centre, Ontario Cancer Institute

The Patient: Patient-Centered Outcomes Research, 2017, vol. 10, issue 1, No 8, 105-115

Abstract: 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

Date: 2017
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DOI: 10.1007/s40271-016-0190-z

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