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

Autor: Dumo, Anndra Margareth, Mandysova, Petra, Ward, Linda D., Laing, Bobbi, Lim, Anecita Gigi, Palovaara, Marjo, Saunders, Hannele, Maguire, Jane, Carlberg, Carsten, Sund, Reijo, Vehviläinen-Julkunen, Katri
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Zdroj: Journal of Nursing Measurement; 2023, Vol. 31 Issue 3, p412-426, 15p
Abstrakt: Background and Purpose: Currently, 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. Methods: A 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. Results: The 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). Conclusion: The Mandysova's decision tree algorithm provided clear and rigorous direction for the translation and validity of the Finnish GNCI [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index