Linguistic Validation of Genomic Nursing Concept Inventory to Finnish Applying Mandysova’s Decision Tree Algorithm

Abstract

Background and PurposeCurrently, there is no available Finnish version of the Genomic Nursing Concept Inventory tool (GNCI). This study tested the validity, reliability, and clinical usability of a Finnish translation.MethodsA decision tree algorithm was used to guide the translation, as per International Society for Pharmacoeconomics and Outcomes Research guidelines. Item-Content Validity Index (I-CVI), modified kappa (k*) statistics, and Cronbach’s alpha were calculated.ResultsThe I-CVI and k* values were “good” to “excellent” (I-CVI = 0.63–1.00, k* = 0.52–1.00), and Cronbach’s alpha value was “good” (α = 0.816; 95% confidence interval: 0.567–0.956).ConclusionThe Mandysova’s decision tree algorithm provided clear and rigorous direction for the translation and validity of the Finnish GNCI.