Mapping health assessment questionnaire disability index (HAQ-DI) score, pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) onto the EuroQol-5D (EQ-5D) utility score with the KORean Observational study Network for Arthritis (KORONA) registry data

Hye Lin Kim, Dam Kim, Eun Jin Jang, Min Young Lee, Hyun Jin Song, Sun Young Park, Soo Kyung Cho, Yoon Kyoung Sung, Chan Bum Choi, Soyoung Won, So Young Bang, Hoon Suk Cha, Jung Yoon Choe, Won Tae Chung, Seung Jae Hong, Jae Bum Jun, Jinseok Kim, Seong Kyu Kim, Tae Hwan Kim, Tae Jong KimEunmi Koh, Hwajeong Lee, Hye Soon Lee, Jisoo Lee, Shin Seok Lee, Sung Won Lee, Sung Hoon Park, Seung Cheol Shim, Dae Hyun Yoo, Bo Young Yoon, Sang Cheol Bae, Eui Kyung Lee

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

The aim of this study was to estimate the mapping model for EuroQol-5D (EQ-5D) utility values using the health assessment questionnaire disability index (HAQ-DI), pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) in a large, nationwide cohort of rheumatoid arthritis (RA) patients in Korea. The KORean Observational study Network for Arthritis (KORONA) registry data on 3557 patients with RA were used. Data were randomly divided into a modeling set (80 % of the data) and a validation set (20 % of the data). The ordinary least squares (OLS), Tobit, and two-part model methods were employed to construct a model to map to the EQ-5D index. Using a combination of HAQ-DI, pain VAS, and DAS28, four model versions were examined. To evaluate the predictive accuracy of the models, the root-mean-square error (RMSE) and mean absolute error (MAE) were calculated using the validation dataset. A model that included HAQ-DI, pain VAS, and DAS28 produced the highest adjusted R2 as well as the lowest Akaike information criterion, RMSE, and MAE, regardless of the statistical methods used in modeling set. The mapping equation of the OLS method is given as EQ-5D = 0.95−0.21 × HAQ-DI−0.24 × pain VAS/100–0.01 × DAS28 (adjusted R2 = 57.6 %, RMSE = 0.1654 and MAE = 0.1222). Also in the validation set, the RMSE and MAE were shown to be the smallest. The model with HAQ-DI, pain VAS, and DAS28 showed the best performance, and this mapping model enabled the estimation of an EQ-5D value for RA patients in whom utility values have not been measured.

Original languageEnglish
Pages (from-to)505-513
Number of pages9
JournalRheumatology International
Volume36
Issue number4
DOIs
StatePublished - 1 Apr 2016

Bibliographical note

Funding Information:
This study was supported by a Grant from the Korea Healthcare Technology R&D Project, Ministry of Health and Welfare, Republic of Korea (Grant Number: HI10C2020).

Publisher Copyright:
© 2016, Springer-Verlag Berlin Heidelberg.

Keywords

  • DAS28
  • EQ-5D
  • HAQ-DI
  • Mapping
  • Utility

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