OBJECTIVE: This study aims to develop a function for mapping the English and Chinese versions of the Functional Assessment of Cancer Therapy-General (FACT-G) scores to the EuroQoL Group's EQ-5D utility index and to test whether a single function is sufficient for the two language versions. METHODS: A baseline survey of 558 cancer patients in Singapore using the FACT-G and EQ-5D was conducted (308 English and 250 Chinese questionnaires). Regression models were used to predict the EQ-5D utility index values based on the FACT-G scores and thus derive a mapping equation. Data from a follow-up survey of the patients were used to validate the results. RESULTS: The FACT-G Social/Family scale was not associated with the EQ-5D utility index (P = 0.701). There was no interaction between language version and the predictors (each P > 0.1). An equation that maps the FACT-G Physical, Emotional, and Functional well-being scales to the EQ-5D utility index was derived. In the validation sample, the mean observed utility values was larger than the mapped by only 0.005 (95% confidence interval [CI]-0.006 to 0.016), but the mean absolute difference was 0.083 (95% CI 0.076 to 0.090). CONCLUSIONS: At the group level, but not individual level, the equation developed can accurately map the English and Chinese versions of the FACT-G scores to the EQ-5D utility index.
OBJECTIVE: This study aims to develop a function for mapping the English and Chinese versions of the Functional Assessment of Cancer Therapy-General (FACT-G) scores to the EuroQoL Group's EQ-5D utility index and to test whether a single function is sufficient for the two language versions. METHODS: A baseline survey of 558 cancerpatients in Singapore using the FACT-G and EQ-5D was conducted (308 English and 250 Chinese questionnaires). Regression models were used to predict the EQ-5D utility index values based on the FACT-G scores and thus derive a mapping equation. Data from a follow-up survey of the patients were used to validate the results. RESULTS: The FACT-G Social/Family scale was not associated with the EQ-5D utility index (P = 0.701). There was no interaction between language version and the predictors (each P > 0.1). An equation that maps the FACT-G Physical, Emotional, and Functional well-being scales to the EQ-5D utility index was derived. In the validation sample, the mean observed utility values was larger than the mapped by only 0.005 (95% confidence interval [CI]-0.006 to 0.016), but the mean absolute difference was 0.083 (95% CI 0.076 to 0.090). CONCLUSIONS: At the group level, but not individual level, the equation developed can accurately map the English and Chinese versions of the FACT-G scores to the EQ-5D utility index.
Authors: Yin Bun Cheung; Hui Xing Tan; Vivian Wei Wang; Nagaendran Kandiah; Nan Luo; Gerald C H Koh; Hwee Lin Wee Journal: Qual Life Res Date: 2018-09-01 Impact factor: 4.147
Authors: Lisa M Hess; William E Brady; Laura J Havrilesky; David E Cohn; Bradley J Monk; Lari Wenzel; David Cella Journal: Gynecol Oncol Date: 2012-10-30 Impact factor: 5.482
Authors: Paulos Teckle; Stuart Peacock; Helen McTaggart-Cowan; Kim van der Hoek; Stephen Chia; Barb Melosky; Karen Gelmon Journal: Health Qual Life Outcomes Date: 2011-11-28 Impact factor: 3.186