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Deriving Health Utility Values Using Mapping Methods Among the Chinese Population: A Systematic Review
Shitong Xie1,2, Tianqi Hong3, Jialu Geng1,2
1School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
Applied Health Economics and Health Policy
|August 18, 2025
Summary
This review systematically analyzes mapping studies in China, identifying methodological gaps in health utility value estimation. Improving sample size, model selection, and validation will enhance cost-utility analyses.
Area of Science:
- Health Economics
- Biostatistics
- Health Services Research
Background:
- Mapping studies are crucial for estimating health utility values in China.
- A lack of systematic reviews hinders assessment of methodological consistency and accuracy.
- This review addresses the need for consolidated evidence on mapping methodologies.
Purpose of the Study:
- To systematically review existing mapping studies conducted in China.
- To identify methodological gaps and challenges in developing mapping algorithms.
- To provide recommendations for improving future mapping studies.
Main Methods:
- Systematic literature search across 14 databases up to May 31, 2025.
- Extraction of data on dataset characteristics, mapping types, models, and validation methods.
- Analysis of 33 included studies focusing on Chinese populations.
Main Results:
- Most studies (87.9%) mapped disease-specific non-preference-based measures to generic preference-based measures.
- Ordinary least squares and Tobit models were frequently used for direct mapping.
- Internal validation (N-fold cross-validation) was common, but external validation was absent.
Conclusions:
- Methodologies in Chinese mapping studies require improvement, particularly in sample size and validation.
- Enhancing model selection and addressing conceptual overlap are key.
- Improvements will support more robust cost-utility analyses in China's healthcare system.
