Xu Richard Huan, Zhou Ling Ming, Wong Eliza Laiyi, Wang Dong, Chang Jing Hui
Centre for Health Systems and Policy Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
School of Health Management, Southern Medical University, Guangzhou, China.
Front Psychol. 2020 Dec 3;11:583574. doi: 10.3389/fpsyg.2020.583574. eCollection 2020.
The objective of this study was to evaluate the psychometric properties of the Chinese version of the decision regret scale (DRSc).
The data of 704 patients who completed the DRSc were used for the analyses. We evaluated the construct, convergent/discriminant, and known-group validity; internal consistency and test-retest reliability; and the item invariance of the DRSc. A receiver operating characteristic (ROC) curve was employed to confirm the optimal cutoff point of the scale.
A confirmatory factor analysis (CFA) indicated that a one-factor model fits the data. The internal consistency (α = 0.74) and test-retest reliability [intraclass correlation coefficient (ICC) = 0.71] of the DRSc were acceptable. The DRSc demonstrated unidimensionality and invariance for use across the sexes. It was confirmed that an optimal cutoff point of 25 could discriminate between patients with high and low decisional regret during clinical practice.
The DRSc is a parsimonious instrument that can be used to measure the uncertainty inherent in medical decisions. It can be employed to provide knowledge, offer support, and elicit patient preferences in an attempt to promote shared decision-making.
本研究旨在评估中文版决策后悔量表（DRSc）的心理测量特性。
对704名完成DRSc量表的患者数据进行分析。我们评估了结构效度、收敛效度/区分效度和已知群体效度；内部一致性和重测信度；以及DRSc量表的项目不变性。采用受试者工作特征（ROC）曲线确定量表的最佳截断点。
验证性因子分析（CFA）表明单因素模型拟合数据。DRSc量表的内部一致性（α = 0.74）和重测信度[组内相关系数（ICC） = 0.71]可接受。DRSc量表在性别间表现出单维性和不变性。经确认，在临床实践中，最佳截断点为25时可区分高决策后悔和低决策后悔的患者。
DRSc量表是一种简洁的工具，可用于测量医疗决策中固有的不确定性。它可用于提供信息、给予支持并了解患者偏好，以促进共同决策。
