Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N

Abstract

ObjectiveTo develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic.MethodsA total of 1,050 patients with PTC from a tertiary hospital in China were included, and they completed FACT-H&N and EQ-5D-5L. Four mapping algorithms of direct mapping functions were used to derive the models: Ordinary least squares (OLS), Tobit model (Tobit), Two-part model (TPM), and Beta mixture regression model (Beta). The goodness-of-fit of models was assessed by the mean absolute error (MAE), root mean square error (RMSE), Akaike information criteria (AIC), Bayesian information criteria (BIC), and absolute error (AE). A fivefold cross-validation method was used to test the stability of the models.ResultsThe mean utility value of the EQ-5D-5L was 0.870 ± 0.094. The mean EQ-VAS score was 76.5 ± 13.0. The Beta mixture regression model mapping FACT-H&N to EQ-5D-5L achieved the best performance [fivefold cross-validation MAE = 0.04612, RMSE = 0.06829, AIC = −2480.538, BIC = −2381.137, AE > 0.05 (%) = 32.48, AE > 0.1 (%) = 8.95]. The independent variables in this model were Physical Well-Being (PWB), Emotional Well-Being (EWB), Head & Neck Cancer Subscale (HNCS) scores and its square term and interaction term scores.ConclusionsThis study calculated the health utility score of Chinese patients with PTC. The reported algorithms can be used to map the FACT-H&N into the EQ-5D-5L, which can be applied in the cost-utility related study of patients with PTC.

Obtaining SF-6D utilities from FACT-H&N in thyroid carcinoma patients: development and results from a mapping study

“…In this study, SF-6D was used to measure the health utility value of thyroid cancer. It was found that only 0.286% of patients had ceiling effect, which was lower than the results obtained by our research group using the EQ-5D-5L scale (9.62%) ( 16 ), and also lower than the ceiling effect of the EQ-5D-5L scale used in the breast cancer study (3.85%) ( 36 ). This may be because SF-6D has more states than EQ-5D.…”

“…Although there are studies on mapping FACT-B to SF-6D in breast cancer patients ( 14 ), and mapping FACT-G and FACT-C to SF-6D in colorectal cancer patients ( 15 ). However, apart from a mapping study from FACT-H&N to EQ-5D-5L published by our research group ( 16 ), we did not find any other mapping studies in thyroid cancer patients. To our knowledge, no study has mapped FACT-H&N scores to SF-6D utility scores using direct or indirect methods in thyroid cancer samples thus far.…”

Mapping ODI onto EQ-5D-5L in Chinese Low Back Pain Patients

“…Xu et al formulated algorithms to map the EORTC QLQ-C30 (QLQ-C30) onto EQ-5D-5L within a patient sample diagnosed with lymphomas[30]. More mapping algorithms were developed including psoriasis disability index, Haem-A-QoL scores, Parkinson’s Disease Questionnaire[6; 12; 29].…”