Back to Search Start Over

Adaptation of the Workflow Integration Survey to Turkey: A Validity and Reliability Study.

Authors :
Özduyan Kılıç, Meltem
Korkmaz, Fatoş
Source :
Journal of Nursing Measurement; 2024, Vol. 32 Issue 2, p174-182, 9p
Publication Year :
2024

Abstract

Background and Purpose: Electronic health record systems (EHRSs) are widely used to record patients' data and should be compatible with nurses' workflow. The purpose of this study was to adapt the Workflow Integration Survey (WIS) to the Turkish language and examine the reliability and validity measures of the Turkish version of the scale. Methods: In this methodological study, data were collected between December 2019 and February 2020 from 120 nurses. This study included the following phases: translation and evaluation of the content validity; explanatory factor analysis and confirmatory factor analysis (CFA) and reliability analysis. The intraclass correlation coefficient (ICC) was used for the test–retest reliability with 30 nurses. Results: The results of CFA revealed a two factors' structure, and these two factors explained 50.57% of the total variance. This was confirmed (χ<superscript>2</superscript>/ df = 1.673, goodness-of-fit index = 0.948, incremental fit index = 0.923, comparative fit index = 0.918, root mean square error of approximation = 0.075, and standardized root mean square residual = 0.0604) using structural equation modeling. The total Cronbach's alpha value was found to be.702,.636, and.649 for the subscales. The ICC was calculated for test–retest reliability and was found to be 0.871. Conclusions: The validity and reliability of the WIS have been found to be sufficient. It is recommended that the validity and reliability studies on the WIS be conducted in different hospitals with a larger number of participants. Furthermore, the use of the scale in cross-cultural studies to evaluate the compatibility of EHRSs with nurses' workflow in different cultures is also suggested. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10613749
Volume :
32
Issue :
2
Database :
Complementary Index
Journal :
Journal of Nursing Measurement
Publication Type :
Academic Journal
Accession number :
177964987
Full Text :
https://doi.org/10.1891/JNM-2022-0025