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Objectives: This study aimed to establish the Japanese population norms of the EQ-5D-5L and Health Utilities Index Mark 3 (HUI3) and estimate the disutility associated with diseases and symptoms.Methods: We performed a door-to-door survey of the general population by random sampling. The planned sample size was 10 000 residents (age ≥16 years) of 334 districts in Japan. In addition to the EQ-5D-5L and HUI3 questionnaires, questions regarding demographic factors and self-reported main diseases and symptoms were asked. The EQ-5D-5L and HUI3 responses were converted to index values on the basis of Japanese value sets. Summary values by age and sex were calculated to obtain Japanese normative values. A multiple linear model was used to examine relationships between these values and diseases and symptoms.Results: We collected 10 183 responses from 334 districts. The mean EQ-5D-5L index values were 0.821 (male) and 0.774 (female) in the age group of 80 to 89 years, which were lower compared with 0.978 (male) and 0.967 (female) in the age group of 16 to 19 years. Similar trends were observed for the HUI3 values. Age, sex, household income, and education level had a significant influence on the values of both instruments. When measured with the EQ-5D-5L, Parkinson disease, dementia, and stroke were associated with the largest disutility (>0.2), and the disutility for depression was approximately 0.18. In contrast, the HUI3 disutility values for Parkinson disease and dementia were approximately 0.4.Conclusions: This study established the Japanese population norms of the EQ-5D-5L and HUI3, which can be used in healthcare decision making and contribute to a more reliable analysis of economic evaluations. [ABSTRACT FROM AUTHOR]

Background: Precarious employment has affected mental health, and limited data are available on the association of low stress tolerance with depressive symptoms among Japanese workers. Aims: This study aimed to examine the relationship between stress tolerance and depressive symptoms among Japanese workers, including company employees, civil servants and self-employed persons in various industries. Methods: We conducted a nationwide cross-sectional study. From March 26 to April 6, 2020, we performed a web-based survey of Japanese workers. The questionnaire included questions on socioeconomic factors, the SOC scale that assesses stress tolerance, the CES-D, and the EQ-5D-5L. Multivariate regression analyses were performed to determine the factors associated with depressive symptoms. Results: We included 3,001 participants in the analysis. A high SOC score, adequate sleeping time and frequency of exercise were associated with higher depressive symptoms. Employment status and long working hours were not associated with depressive symptoms. Younger workers had lower SOC scores than older workers. An inverse correlation between the SOC score and CES-D score was found among Japanese workers. Conclusions: Improving stress tolerance among younger workers is needed to prevent worsening mental health regardless of employment status for Japanese workers. [ABSTRACT FROM AUTHOR]

Background: The valuation study of the five-level version of the EuroQol five-dimensional questionnaire (EQ-5D-5L) involved composite time trade-off (cTTO) and a discrete choice experiment (DCE). The DCE scores must be anchored to the quality-of-life scale from 0 (death) to 1 (full health). Nevertheless, the characteristics of the statistical methods used for converting the EQ-5D-5L DCE results by using TTO information are not yet clearly known.Objectives: To present the Japanese DCE value set of the EQ-5D-5L and compare three methods for converting latent DCE values.Methods: The survey sampled the general population at five locations in Japan. 1098 respondents were stratified by age and sex. To obtain and compare the value sets of the EQ-5D-5L, the cTTO and DCE data were analyzed by a linear mixed model and conditional logit, respectively. The DCE scores were converted to the quality-of-life scale by anchoring to the worst state using cTTO, mapping DCE onto cTTO, and a hybrid model.Results: The data from 1026 respondents were analyzed. All the coefficients in the cTTO and DCE value sets were consistent throughout all the analyses. Compared with the cTTO algorithm, the mapping and hybrid methods yielded very similar scoring coefficients. The hybrid model results, however, produced a lower root mean square error and fewer health states with errors exceeding 0.05 than did the other models. The DCE anchored to the worst state overestimated the cTTO scores of almost all the health states.Conclusions: Japanese value sets based on DCE were demonstrated. On comparing the observed cTTO scores, we found that the hybrid model was slightly superior to the simpler methods, including the TTO model. [ABSTRACT FROM AUTHOR]

Aim: The recently developed direct-acting antivirals (DAAs) for hepatitis C virus (HCV) infections are costly. Cost-effectiveness analyses of DAAs require accurate healthcare expenditure estimates for the various HCV disease states, but few studies have produced such estimates using national-level data. This study utilized nationally representative data to estimate the healthcare expenditure for each HCV disease state.Methods: We identified all patients infected with HCV between April 2010 and March 2018 from a nationwide administrative claims database in Japan. Monthly patient-level healthcare expenditures were calculated for the following disease states: chronic hepatitis C (CHC), compensated cirrhosis (CC), decompensated cirrhosis (DC), and hepatocellular carcinoma (HCC). The expenditures for the CHC and CC states were also compared before DAA treatment and after sustained virologic response (SVR) was achieved. A longitudinal two-part model was employed to estimate the healthcare expenditures for each state.Results: During the study period, 1,564,043 patients with 146,488,137 patient-months of data met the inclusion criteria. The year of valuation was 2017. The mean monthly healthcare expenditures per patient (95% confidence intervals) for the pre-DAA CHC, CC, DC, and HCC states were US$267 (US$267-268), US$428 (US$427-429), US$666 (US$663-669), and US$969 (US$966-972), respectively. The mean monthly healthcare expenditures per patient for the post-SVR (≥ 2 years) CHC and CC states were US$176 (US$176-177) and US$238 (US$236-240), respectively. Healthcare expenditure increased with increasing age in all disease states (P < 0.05).Conclusions: These healthcare expenditure estimates from a nationally representative sample have potential applications in cost-effectiveness analyses of DAAs. [ABSTRACT FROM AUTHOR]