Sado Mitsuhiro, Nagashima Kengo, Koreki Akihiro
Keio University Health Center, Shinjuku-ku, Tokyo, Japan.
Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
Psychol Res Behav Manag. 2025 Mar 20;18:703-717. doi: 10.2147/PRBM.S480328. eCollection 2025.
This study aimed to develop a value set for the Japanese version of the Investigating Choice Experiments CAPability Measure for Adults (ICECAP-A).
A total of 400 participants were recruited. Survey 1, conducted utilizing a self-report format, collected demographic data and responses to well-being scales, including the ICECAP-A, the Investigating Choice Experiments CAPability Measure for Older People (ICECAP-O), and the EuroQol 5 Dimensions (EQ-5D), among others. Participants who completed Survey 1 were invited to participate in Survey 2. In Survey 2, an interview-based assessment, participants engaged in best-worst scaling, where they identified the most and least favorable situations in each of the 16 hypothetical scenarios. A mixed-mixed multinomial logit (MM-MNL) model was utilized to estimate preference parameters, accounting for individual heterogeneity and latent classes.
The estimated parameters and tariffs indicated that all five attributes contributed to an individual's capability for well-being, consistent with prior studies. The attributes were ranked in order of importance as follows: "enjoyment" (24.8% of the space), "attachment" (22.1%), "stability" (19.5%), "autonomy" (17.9%), and "achievement" (15.6%). For "enjoyment" and "attachment", the differences between levels 1 and 2 and between levels 2 and 3 were equally large. In contrast, for all other attributes, the greatest differences were observed between levels 1 and 2. Across all attributes, the differences between levels 3 and 4 were comparatively smaller.
We developed a Japanese version of the ICECAP-A and demonstrated the feasibility of utilizing best-worst scaling in a non-European context. This approach allows for a more precise evaluation of quality of life (QoL) among individuals with chronic conditions, caregivers, and the general population. Future research should assess the scale's sensitivity in capturing changes in capability over time.
本研究旨在为成人版的成人调查选择实验能力量表（ICECAP - A）日语版制定一套价值集。
共招募了400名参与者。调查1采用自我报告形式，收集了人口统计学数据以及对包括ICECAP - A、老年人调查选择实验能力量表（ICECAP - O）和欧洲五维健康量表（EQ - 5D）等在内的幸福感量表的回答。完成调查1的参与者被邀请参加调查2。在调查2中，基于访谈的评估里，参与者进行了最佳 - 最差排序，即在16个假设情景中分别找出最有利和最不利的情况。使用混合混合多项逻辑回归（MM - MNL）模型来估计偏好参数，同时考虑个体异质性和潜在类别。
估计参数和权重表明，所有五个属性都对个体的幸福能力有贡献，这与先前的研究一致。这些属性按重要性排序如下：“享受”（占空间的24.8%）、“依恋”（22.1%）、“稳定”（19.5%）、“自主”（17.9%）和“成就”（15.6%）。对于“享受”和“依恋”，第1级和第2级之间以及第2级和第3级之间的差异同样大。相比之下，对于所有其他属性，第1级和第2级之间的差异最大。在所有属性中，第3级和第4级之间的差异相对较小。
我们开发了ICECAP - A日语版，并证明了在非欧洲背景下使用最佳 - 最差排序的可行性。这种方法能够更精确地评估慢性病患者、护理人员和普通人群的生活质量（QoL）。未来的研究应评估该量表在捕捉能力随时间变化方面的敏感性。
