Mapping the EORTC QLQ-C30 and QLQ H&N35 to the EQ-5D-5L and SF-6D for papillary thyroid carcinoma.

Empirical evidence for the EORTC QLQ C30 scale in thyroid cancer mapping algorithms has not been found in China, which limits the cost-utility analysis of patients with papillary thyroid carcinoma (PTC) population. We developed mapping algorithms that use the EORTC QLQ-C30 and QLQ H&N35 to predict EQ-5D-5L and SF-6D health utility scores for PTC patients. Data from 1050 Chinese PTC patients who completed the EORTC QLQ-C30, QLQ H&N35, EQ-5D-5L and SF-6D instruments were collected. Direct mapping (OLS, Tobit, Betamix) and indirect mapping functions (Order Probit) were used to estimate algorithms. The goodness-of-fit of mapping performance was assessed by MAE, RMSE, AIC, BIC, AE, and ICC. A fivefold cross-validation and random sample validation approach were used to test the stability of the models. The mean EQ-5D-5L and SF-6D utility scores were 0.8704 and 0.6368, respectively. We recommend the Betamix model for the EQ-5D-5L (MAE = 0.0363, RMSE = 0.0505, AIC = -3458.73, BIC = -3096.91, AE > 0.05(%) = 48.38, AE > 0.1(%) = 8.67, ICC = 0.8288 for the full sample dataset) and the Betamix model for the SF-6D (MAE = 0.0328, RMSE = 0.0417, AIC = -2788.91, BIC = -2605.51, AE > 0.05(%) = 42.76, AE > 0.1(%) = 3.62, ICC = 0.8657 for the full sample dataset), with EORTC QLQ-C30 all items, QLQ H&N35 all items, age and gender as the predicted variables showing the best performance. In the absence of preference-based quality of life tools, the mapping algorithms reported here are effective alternative for predicting the health utility of PTC patients, contributing to the cost-utility analysis studies.

Huang D ，Zeng D ，Tang Y ，Jiang L ，Yang Q ... -  《-》

Mapping the cancer-specific QLQ-C30 onto the generic EQ-5D-5L and SF-6D in colorectal cancer patients.

Ameri H ，Yousefi M ，Yaseri M ，Nahvijou A ，Arab M ，Akbari Sari A ... -  《-》

Mapping QLQ-C30 Onto EQ-5D-5L and SF-6D-V2 in Patients With Colorectal and Breast Cancer From a Developing Country.

Many studies have mapped the QLQ-C30 onto the EQ-5D or the SF-6D utilities; however, these studies were limited to developed countries. So this study aimed to map QLQ-C30 onto the SF-6D version 2 (SF-6D-v2) and EQ-5D-5L using the data collected from patients with colorectal and breast cancer in a developing country. A cross-sectional data set of 668 inpatient and outpatient patients with cancer was gathered from 4 teaching hospitals of cancer treatment in Tehran and Yazd from May 2017 to November 2018. The ordinary least squares (OLS) and censored least absolute deviations (CLAD) models were applied to estimate the utility values of both EQ-5D-5L and SF-6D-V2 using the QLQ-C30. Predicted R2 and adjusted R2 were used to evaluate the goodness of fit of the models. Moreover, the predictive performance of 2 models was assessed through estimating the mean absolute error (MAE), root mean square error (RMSE), intraclass correlation coefficients (ICC), and Spearman's rho. The 10-fold cross-validation method was also applied for validation of models. The OLS Model E4 was the best-performing model for EQ-5D-5L (Adj R2 = 71.7%, Pred R2 = 71.15%, MAE = 0.0770, RMSE = 0.1026), and the OLS Model S4 performed best for SF-6D-V2 (Adj R2 = 74.64%, Pred R2 = 73.86%, MAE = 0.0465, RMSE = 0.0621). The OLS Model E4 for EQ-5D-5L and the OLS Model S4 for SF-6D-V2 were the best models for policy makers to have more accurate evaluation of the healthcare interventions when the data are gathered through non-preference-based instruments.

Yousefi M ，Nahvijou A ，Sari AA ，Ameri H ... -  《-》

Mapping the Chinese Version of the EORTC QLQ-BR53 Onto the EQ-5D-5L and SF-6D Utility Scores.

Liu T ，Li S ，Wang M ，Sun Q ，Chen G ... -  《-》

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

To 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. A 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. The 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. This 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.

Huang D ，Peng J ，Chen N ，Yang Q ，Jiang L ... -  《Frontiers in Public Health》