Psychometric Performance of EQ-HWB for Japanese Populations
Author(s)
Shinichi Noto, PhD1, Shinya Saito, PhD, MD2, Takeru Shiroiwa, MPH, PhD3.
1Professor, Niigata University of Health and Welfare, Niigata, Japan, 2Okayama University, Okayama, Japan, 3National Institute of Public Health, Wako, Saitama, Japan.
1Professor, Niigata University of Health and Welfare, Niigata, Japan, 2Okayama University, Okayama, Japan, 3National Institute of Public Health, Wako, Saitama, Japan.
OBJECTIVES: To evaluate the psychometric performance of the EQ-HWB and its short version, EQ-HWB-S, developed for use in economic evaluations across health, welfare, and public health, in a Japanese population.
METHODS: Using EQ-HWB, we conducted an internet survey targeting general residents nationwide in Japan using resident registration data. We examined EQ-HWB for ceiling effects, convergence, and discriminant validity. Additionally, for EQ-HWB-S, we calculated utility values using the hybrid Tobit model proposed by Mukuria et al. (2023) and investigated known-population validity based on the presence or absence of comorbidities.
RESULTS: After excluding responses with incomplete data, 5,368 participants were included in the analysis. For the EQ-HWB single-level summary score, the reverse-scored items “Accepted,” “Feeling good,” and “Do things wanted to do” had higher means of 2.77, 2.84, and 3.04, respectively, and were negatively correlated with the other items. In the EQ-HWB-S, 925 respondents reported the health state “111111111,” yielding a ceiling effect of 17.2 %. The mean utility score was 0.859 ± 0.171. This value was influenced by employment status, educational level, and income, and among comorbidities, depression, dementia, arthritis, lower back pain, osteoporosis, and fractures significantly lowered the utility score.
CONCLUSIONS: Convergent and discriminant validity for the EQ-HWB were demonstrated, and the practical utility of the EQ-HWB-S scoring model was confirmed.
METHODS: Using EQ-HWB, we conducted an internet survey targeting general residents nationwide in Japan using resident registration data. We examined EQ-HWB for ceiling effects, convergence, and discriminant validity. Additionally, for EQ-HWB-S, we calculated utility values using the hybrid Tobit model proposed by Mukuria et al. (2023) and investigated known-population validity based on the presence or absence of comorbidities.
RESULTS: After excluding responses with incomplete data, 5,368 participants were included in the analysis. For the EQ-HWB single-level summary score, the reverse-scored items “Accepted,” “Feeling good,” and “Do things wanted to do” had higher means of 2.77, 2.84, and 3.04, respectively, and were negatively correlated with the other items. In the EQ-HWB-S, 925 respondents reported the health state “111111111,” yielding a ceiling effect of 17.2 %. The mean utility score was 0.859 ± 0.171. This value was influenced by employment status, educational level, and income, and among comorbidities, depression, dementia, arthritis, lower back pain, osteoporosis, and fractures significantly lowered the utility score.
CONCLUSIONS: Convergent and discriminant validity for the EQ-HWB were demonstrated, and the practical utility of the EQ-HWB-S scoring model was confirmed.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
PCR196
Topic
Clinical Outcomes, Methodological & Statistical Research, Patient-Centered Research
Topic Subcategory
Health State Utilities, Instrument Development, Validation, & Translation, Patient-reported Outcomes & Quality of Life Outcomes
Disease
Cardiovascular Disorders (including MI, Stroke, Circulatory), Geriatrics, Mental Health (including addition), Musculoskeletal Disorders (Arthritis, Bone Disorders, Osteoporosis, Other Musculoskeletal), Respiratory-Related Disorders (Allergy, Asthma, Smoking, Other Respiratory)