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Revision of a method quality rating scale for single-case experimental designs and<i>n</i>-of-1 trials: The 15-item Risk of Bias in<i>N</i>-of-1 Trials (RoBiNT) Scale
334
Citations
33
References
2013
Year
Generalizability TheoryItem Response TheoryEducationClassical Test TheorySingle-case Experimental DesignsRobint ScaleClinical TrialsSingle-subject DesignRandomized Controlled TrialPatient-reported OutcomeInternal ValidityEvidence-based TherapyStatisticsReliabilityMeta-analysisPsychiatry15-Item RiskRehabilitationSingle-case MethodologyExperiment DesignPatient SafetyMedicine
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.
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