Psychometric Testing of the Slovene Version of the Perceived Inventory of Technological Competency as Caring in Nursing

被引:0
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作者
Krel, Cvetka [1 ,2 ]
Vrbnjak, Dominika [2 ]
Stiglic, Gregor [2 ]
Bevc, Sebastjan [1 ,3 ]
机构
[1] Univ Clin Ctr Maribor, Dept Nephrol, Maribor 2000, Slovenia
[2] Univ Maribor, Fac Hlth Sci, Maribor 2000, Slovenia
[3] Univ Maribor, Fac Med, Maribor 2000, Slovenia
关键词
technology; caring; reliability; validity; psychometric properties; ELECTRONIC HEALTH RECORD; CONTENT VALIDITY; PROFESSIONAL PRACTICE; INTERNAL CONSISTENCY; WORK;
D O I
10.3390/healthcare12050561
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The Perceived Inventory of Technological Competency as Caring in Nursing (PITCCN) questionnaire has been designed to measure technological competency as caring in nursing practice. It incorporates the use of technology with the fundamental principles of caring that are central to nursing. As there were no psychometrically sound instruments to quantify the concept of technological competency as caring in the Slovene language, we adapted the English version of the questionnaire to the local environment. The goal was to assess the level of psychometric properties of the PITCCN investigated in Slovene hospitals. Methods: Content validity was conducted with eight experts and quantified by the content validity index (CVI) and the modified Cohen's kappa index. Face validity was assessed through discussions with participants from the target culture in the pilot study. To assess construct validity and internal consistency, a cross-sectional research methodology was used on a convenience sample of 121 nursing personnel from four hospitals. Principal component analysis (PCA) was used to examine construct validity, while Cronbach's alpha and adjusted item-total correlations were used to measure internal consistency. Results: The content and face validity of PITCCN were adequate. The scale validity index (S-CVI) was 0.97. Cronbach's alpha was 0.92, and subscale reliabilities ranged from 0.810 to 0.925. PCA showed four components, which explained more than 73.49% of the variance. Conclusions: The Slovenian version of PITCCN (PITCCN_SI) has good psychometric properties.
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页数:12
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