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Objectives <p>The EQ-5D-5L is a multi-attribute utility instrument recommended by many health technology assessment agencies. This study aimed to develop an EQ-5D-5L value set for Singapore. </p> Methods <p>A ‘lite’ version of the EuroQol Research Foundation’s EQ-5D-5L valuation protocol, which was designed to value a total of 91 health states using a composite time trade-off (cTTO) method, was followed. Five hundred members of the general public in Singapore were quota-sampled and invited to a personal interview face-to-face or via Zoom. All participants completed 20 cTTO tasks administered using the EuroQol Valuation Technology (EQ-VT) program. Cross-validation analysis was performed to identify the best-performing model for estimating the values of all the 3,125 EQ-5D-5L health states.</p> Results <p>A 20-parameter main-effects model with two two-way interaction terms outperformed other models in the cross-validation analysis. The value set estimated using this model ranges from − 0.851 (for state 55555) to 1.000 (for state 11111), with pain/discomfort and anxiety/depression dimensions associated with the greatest disutility.</p> Conclusions <p>We developed an EQ-5D-5L value set based on the health preferences of Singaporeans. We recommend EQ-5D-5L users in Singapore to use this value set and encourage a more systematic and dedicated methodological effort to understand interaction effects and potential non-linearities in the valuation of multi-attribute health descriptive systems.</p>

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Developing an EQ-5D-5L Value Set for Singapore

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月29日

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  • Nan Luo,
  • Annushiah Vasan Thakumar,
  • Ling Jie Cheng,
  • Zhihao Yang,
  • Kim Rand,
  • Yin Bun Cheung,
  • Julian Thumboo

摘要

Objectives

The EQ-5D-5L is a multi-attribute utility instrument recommended by many health technology assessment agencies. This study aimed to develop an EQ-5D-5L value set for Singapore.

Methods

A ‘lite’ version of the EuroQol Research Foundation’s EQ-5D-5L valuation protocol, which was designed to value a total of 91 health states using a composite time trade-off (cTTO) method, was followed. Five hundred members of the general public in Singapore were quota-sampled and invited to a personal interview face-to-face or via Zoom. All participants completed 20 cTTO tasks administered using the EuroQol Valuation Technology (EQ-VT) program. Cross-validation analysis was performed to identify the best-performing model for estimating the values of all the 3,125 EQ-5D-5L health states.

Results

A 20-parameter main-effects model with two two-way interaction terms outperformed other models in the cross-validation analysis. The value set estimated using this model ranges from − 0.851 (for state 55555) to 1.000 (for state 11111), with pain/discomfort and anxiety/depression dimensions associated with the greatest disutility.

Conclusions

We developed an EQ-5D-5L value set based on the health preferences of Singaporeans. We recommend EQ-5D-5L users in Singapore to use this value set and encourage a more systematic and dedicated methodological effort to understand interaction effects and potential non-linearities in the valuation of multi-attribute health descriptive systems.