作者简要比较了中国人和新加坡华人之间的效用值，以及普通人群和糖尿病人之间的效用值，揭示了如何以及为什么它们之间的价值不同。作者在本书中还明确描述了如何建立评分函数以产生效用值，以及如何比较不同的效用价值，以期产生有关衡量卫生效用的新知识，并为卫生服务研究人员提供有用的工具和指导，以获取这些价值。

王沛，复旦大学公共卫生学院副研究员、硕士生导师，Health and Quality of Lire Outcomes副主编，Pharmaco Economics-Onen编委，中国卫生经济学会卫生技术评价专委会委员，入选“2018年度上海市浦江人才计划”。主要从事健康效用评估、健康相关生命质量测量、健康量表的开发与验证、卫生经济学评价等工作。

Chapter 1 Introduction
1.1 How to define health states
1 2How to measure HSU values
1.2.1 The direct method
1.2.2 The indirect method
1.2.3 Mapping health profiles to health-state utilities
1.3 Whose health-state utilities should be used
1.3.1 General population health-state utilities
1.3.2 Patient health-state utilities
1.4 Research objectives
1.5 Summary of studies
Chapter 2 Do Chinese Have Similar Health-State Preferences? A Comparison of the People
in China and Chinese Singaporeans
2.1 Introduction
2.2 Methods
2.2.1 Sampling and recruitment
2.2.2 Procedures
2.2.3 EQ-VT
2.2.4 Health states valued
2.2.5 Data analysis
2.3 Results
2.4 Discussion
Chapter 3 The Impact of Diabetes on Health-State Utilities
3.1 Introduction
3.2 Methods
3.2.1 Study participants
3.2.2 Survey procedures
3.2.3 Health states valued
3.2.4 Data analysis
3.3 Results
3.4 Discussion
Chapter 4 Valuation of EQ-gD-3L Health States in Singapore
4.1 Introduction
4.2 Methods
4.2.1 Sampling and recruitment
4.2.2 The valuation interview
4.2.3 The health states
4.3 Statistical analysis
4.3.1 Calculation of TTO values
4.3.2 Modeling of TTO values
4.3.3 Evaluation of model performance
4.4 Results
4.4.1 Respondents' characteristics
4.4.2 Distribution of TTO values
4.4.3 Modeling analysis
4.5 Discussion
Chapter 5 Predicting Preference-Based SF-6D36 Index Scores from the SF-8 Health Survey
5.1 Introduction
5.2 Methods
5.2.1 SF
5.2.2 SF-6D
5.2.3 Data
5.2.4 Model construction
5.2.5 Model estimation and evaluation
5.3 Results
5.3.1 Individual-level prediction
5.3.2 Group-level prediction
5.4 Discussion
Chapter 6 Preference-Based SF-6D Scores Derived from the SF-36 and SF-12 Have
Different Discriminative Power in a Population Health Survey
6.1 Introduction
6.2 Methods
6.2.1 Data source
6.2.2 Instruments
6.2.3 Data analysis
6.3 Results
6.4 Discussion
Chapter 7 Conclusions
7.1 Major findings
7.2 Contributions
7.3 Future studies
Chart Index
References