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Original Research

Estimation of population-based utility weights for gastric cancer-related health states

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Pages 909-918 | Published online: 23 May 2018
 

Abstract

Background

This study aimed to generate utility weights of gastric cancer-related health states from the perspective of the Korean general population.

Methods

The Korean adults (age ≥19 years) included in the study were sampled using multistage quota sampling methods stratified by sex, age, and education level. Nine scenarios for hypothetical gastric cancer-related health states were developed and reviewed. After consenting to participate, the subjects were surveyed by trained interviewers using a computer-assisted personal interview method. Participants were asked to perform standard gamble tasks to measure the utility weights of 5 randomly assigned health states (from among nine scenarios). The mean utility weight was calculated for each health state.

Results

Three hundred twenty-six of the 407 adults who completed this study were included in the analysis. The mean utility weights from the standard gamble were 0.857 (no gastric cancer with Helicobacter pylori infection), 0.773 (early gastric cancer [EGC] with endoscopic surgery), 0.779 (EGC with subtotal gastrectomy), 0.767 (EGC with total gastrectomy), 0.602 (advanced gastric cancer with subtotal gastrectomy and adjuvant chemotherapy), 0.643 (advanced gastric cancer with total gastrectomy and adjuvant chemotherapy), 0.522 (advanced gastric cancer with extended gastrectomy and adjuvant chemotherapy), 0.404 (metastatic gastric cancer with palliative chemotherapy), and 0.399 (recurrent gastric cancer with palliative chemotherapy).

Conclusion

This study was the first to comprehensively estimate the utility weights of gastric cancer-related health states in a general population. The utility weights derived from this study could be useful for future economic evaluations related to gastric cancer interventions.

Supplementary materials

Table S1 Frequency distribution of logical inconsistencies

Table S2 Comparison of the mean utility weights between health states using a Dunnett T3 post hoc analysis

Acknowledgments

This work was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health and Welfare, Republic of Korea (study number: 1520140).

Author contributions

All authors contributed toward data analysis, drafting and revising the paper and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.