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单病例实验设计和 n-of-1 试验方法质量评价量表修订版:15 项偏倚风险评估在 n-of-1 试验(RoBiNT)量表。

Revision of a method quality rating scale for single-case experimental designs and n-of-1 trials: the 15-item Risk of Bias in N-of-1 Trials (RoBiNT) Scale.

机构信息

a Rehabilitation Studies Unit, Sydney Medical School - Northern , University of Sydney , Australia.

出版信息

Neuropsychol Rehabil. 2013;23(5):619-38. doi: 10.1080/09602011.2013.824383. Epub 2013 Sep 9.

DOI:10.1080/09602011.2013.824383
PMID:24050810
Abstract

Recent literature suggests a revival of interest in single-case methodology (e.g., the randomised n-of-1 trial is now considered Level 1 evidence for treatment decision purposes by the Oxford Centre for Evidence-Based Medicine). Consequently, the availability of tools to critically appraise single-case reports is of great importance. We report on a major revision of our method quality instrument, the Single-Case Experimental Design Scale. Three changes resulted in a radically revised instrument, now entitled the Risk of Bias in N-of-1 Trials (RoBiNT) Scale: (i) item content was revised and increased to 15 items, (ii) two subscales were developed for internal validity (IV; 7 items) and external validity and interpretation (EVI; 8 items), and (iii) the scoring system was changed from a 2-point to 3-point scale to accommodate currently accepted standards. Psychometric evaluation indicated that the RoBiNT Scale showed evidence of construct (discriminative) validity. Inter-rater reliability was excellent, for pairs of both experienced and trained novice raters. Intraclass correlation coefficients of summary scores for individual (experienced) raters: ICC(TotalScore) = .90, ICC(IVSubscale) = .88, ICC(EVISubscale) = .87; individual (novice) raters: ICC(TotalScore)= .88, ICC(IVSubscale) = .87, ICC(EVISubscale) = .93; consensus ratings between experienced and novice raters (ICC(TotalScore) = .95, ICC(IVSubscale) = .93, ICC(EVISubscale) = .93. The RoBiNT Scale thus shows sound psychometric properties and provides a comprehensive yet efficient examination of important features of single-case methodology.

摘要

最近的文献表明,人们对单案例方法学重新产生了兴趣(例如,牛津循证医学中心现在认为随机 n-of-1 试验对于治疗决策目的是 1 级证据)。因此,批判性评估单案例报告的工具的可用性非常重要。我们报告了对我们的方法质量工具,即单案例实验设计量表的重大修订。三个变化导致了一个全新修订的工具,现在称为 n-of-1 试验偏倚风险(RoBiNT)量表:(i)项目内容被修订并增加到 15 个项目,(ii)为内部有效性(IV;7 个项目)和外部有效性和解释(EVI;8 个项目)开发了两个子量表,以及(iii)评分系统从 2 点改为 3 点,以适应目前接受的标准。心理测量评估表明,RoBiNT 量表显示出结构(区分)有效性的证据。经验丰富和训练有素的新手评估者之间的评分者间可靠性非常好。个体(经验丰富)评估者的综合评分的组内相关系数:ICC(总分)=.90,ICC(IV 子量表)=.88,ICC(EVI 子量表)=.87;个体(新手)评估者:ICC(总分)=.88,ICC(IV 子量表)=.87,ICC(EVI 子量表)=.93;经验丰富和新手评估者之间的共识评分(ICC(总分)=.95,ICC(IV 子量表)=.93,ICC(EVI 子量表)=.93。RoBiNT 量表因此具有良好的心理测量特性,并提供了对单案例方法学重要特征的全面而有效的检查。

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