Psychometric Evaluation of the Chinese Version of the Decision Regret Scale.
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ABSTRACT: Objective
The objective of this study was to evaluate the psychometric properties of the Chinese version of the decision regret scale (DRSc).Methods
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.Results
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.Conclusion
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.
SUBMITTER: Xu RH
PROVIDER: S-EPMC7793926 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Psychometric Evaluation of the Chinese Version of the Decision Regret Scale.
Xu Richard Huan RH Zhou Ling Ming LM Wong Eliza Laiyi EL Wang Dong D Chang Jing Hui JH
Frontiers in psychology 20201203
<h4>Objective</h4>The objective of this study was to evaluate the psychometric properties of the Chinese version of the decision regret scale (DRSc).<h4>Methods</h4>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 po ...[more]
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