Department of Business and Management, Danish Center for Healthcare Improvements, Aalborg University, Fibigerstraede 11, 9220, Aalborg, Denmark.
Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Qual Life Res. 2020 Feb;29(2):547-557. doi: 10.1007/s11136-019-02331-5. Epub 2019 Oct 18.
To investigate the test-retest reliability of Investigating Choice Experiments Capability measure for Adults (ICECAP-A) in the adult Danish population.
The original English ICECAP-A was translated into Danish by forward-backwards translation using the guidelines by Beaton et al. Three hundred and-thirty-two participants with mean age of 57 years participated in a Web-based study. Data concerning relative and absolute agreement were analysed by the intra-class correlation coefficient and Bland-Altman plot with limits of agreement. The overall and item consistency was investigated by weighted kappa statistics from baseline to 2-week follow-up. Logistic regression was used to study the effect of the sociodemographic characteristics with inconsistent responses as the dependent binary variable. The independent variables were age, sex, education, income, and region of residence at baseline.
The baseline ICECAP-A preference-based index score was 0.84, and at follow-up, 0.83. The ICC was 0.86 (95% CI 0.826-0.884), and limits of agreement were 0.164 and - 0.151. The kappa coefficient ranges from 45 to 65%, between random and perfect agreement. The logistic regression to analyse inconsistent responses showed no significant association between the overall index score and sociodemographic characteristics, and no clear pattern was found concerning the individual item inconsistency.
Evidence regarding the reliability of the Danish version of ICECAP-A is satisfactory for both the index score agreement and the individual item consistency and is a reliable measure to be used in a Danish context and future health economic evaluations.
调查成人选择实验能力量表(ICECAP-A)在丹麦成年人中的重测信度。
采用 Beaton 等人的指南,将原始的英文 ICECAP-A 翻译成丹麦文。332 名平均年龄为 57 岁的参与者参加了一项基于网络的研究。使用组内相关系数和 Bland-Altman 图分析数据,以确定一致性和绝对一致性的界限。通过基线到 2 周随访的加权 Kappa 统计来研究整体和项目一致性。使用逻辑回归来研究具有不一致反应的社会人口学特征对因变量二分类变量的影响。自变量为年龄、性别、教育、收入和基线时的居住地区域。
基线 ICECAP-A 偏好指数得分为 0.84,随访时为 0.83。ICC 为 0.86(95%CI 0.826-0.884),一致性界限为 0.164 和-0.151。Kappa 系数范围为 45 到 65%,随机和完全一致之间。分析不一致反应的逻辑回归显示,总体指数得分与社会人口学特征之间无显著关联,且单个项目的不一致性无明显模式。
丹麦版 ICECAP-A 的可靠性证据在指数得分一致性和单个项目一致性方面均令人满意,是在丹麦背景下和未来健康经济评估中使用的可靠测量工具。