Linguistic Validation of Genomic Nursing Concept Inventory to Finnish Applying Mandysova's Decision Tree Algorithm.
| Autor: | Dumo AM; University of Eastern Finland, Faculty of Health Sciences, Department of Nursing Science, Kuopio, Finland anndra.dumo@uef.fi., Mandysova P; Palacky University Olomouc, Faculty of Health Sciences, Department of Nursing, Czech Republic., Ward LD; Clemson University School of Nursing, Clemson, SC, USA., Laing B; Cancer Trials New Zealand, University of Auckland, Faculty of Medical & Health Sciences, School of Nursing, Auckland, New Zealand., Lim AG; University of Auckland, Faculty of Medical & Health Sciences, School of Nursing, Auckland, New Zealand., Palovaara M; Jyväskylä University of Applied Sciences (JAMK), School of Health and Social Studies, Jyväskylä, Finland., Saunders H; South-Eastern Finland University of Applied Sciences (XAMK), Mikkeli, Finland., Maguire J; Deputy Head of School-Research, University of Technology Sydney, Faculty of Health, Sydney, NSW, Australia., Carlberg C; University of Eastern Finland, Institute of Biomedicine, School of Medicine, Kuopio, Finland., Sund R; University of Eastern Finland, Institute of Clinical Medicine, School of Medicine, Kuopio, Finland., Vehviläinen-Julkunen K; University of Eastern Finland, Faculty of Health Sciences, Department of Nursing Science, Kuopio University Hospital, Kuopio, Finland. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of nursing measurement [J Nurs Meas] 2023 Sep 01; Vol. 31 (3), pp. 412-426. Date of Electronic Publication: 2022 Jul 06. |
| DOI: | 10.1891/JNM-2021-0051 |
| 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. (© Copyright 2023 Springer Publishing Company, LLC.) |
| Databáze: | MEDLINE |
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