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

Dumo, AM; Mandysova, P; Ward, LD; Laing, B; Lim, AG; Palovaara, M; Saunders, H; Maguire, J; Carlberg, C; Sund, R; Vehviläinen-Julkunen, K

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

Dumo, AM Mandysova, P Ward, LD Laing, B Lim, AG Palovaara, M Saunders, H Maguire, J

Carlberg, C Sund, R Vehviläinen-Julkunen, K

Permalink

Publisher:: Springer Publishing Company
Publication Type:: Journal Article
Citation:: J Nurs Meas, 2022, pp. JNM-2021-0051.R1
Issue Date:: 2022-07-06

Closed Access

	Filename	Description	Size
	2Dumoetal2022_FinnishGNCI_JNM-2021-0051.full.pdf	Published version	1.31 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Dumo, AM
dc.contributor.author	Mandysova, P
dc.contributor.author	Ward, LD
dc.contributor.author	Laing, B
dc.contributor.author	Lim, AG
dc.contributor.author	Palovaara, M
dc.contributor.author	Saunders, H
dc.contributor.author	Maguire, J https://orcid.org/0000-0001-5722-8311
dc.contributor.author	Carlberg, C
dc.contributor.author	Sund, R
dc.contributor.author	Vehviläinen-Julkunen, K
dc.date.accessioned	2022-12-05T02:39:51Z
dc.date.available	2022-12-05T02:39:51Z
dc.date.issued	2022-07-06
dc.identifier.citation	J Nurs Meas, 2022, pp. JNM-2021-0051.R1
dc.identifier.issn	1061-3749
dc.identifier.issn	1945-7049
dc.identifier.uri	http://hdl.handle.net/10453/164115
dc.description.abstract	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.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Publishing Company
dc.relation.ispartof	J Nurs Meas
dc.relation.isbasedon	10.1891/JNM-2021-0051
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1110 Nursing
dc.subject.classification	Nursing
dc.title	Linguistic Validation of Genomic Nursing Concept Inventory to Finnish Applying Mandysova's Decision Tree Algorithm.
dc.type	Journal Article
utslib.location.activity	United States
utslib.for	1110 Nursing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
utslib.copyright.status	closed_access	*
dc.date.updated	2022-12-05T02:39:50Z
pubs.publication-status	Published online

Abstract:

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164115