Evidence map›Paper›PMID 40598338›Full record

ArticleBMC nursing2025

Psychometric validation of the Chinese version of the nursing informatics competence scale and analysis of influencing factors.

Jinrui Fei, Chunguang Liang, Weiwei Su, Yuge Wang, Kaiyan Xu, Jiaxin Cheng, Ying Ma, Yue Zhu, Zhaoquan Jiang

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jinrui FeiDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Chunguang LiangDepartment of Life and Health, Huzhou College, Huzhou, 313000, Zhejiang, China. amilyliang@163.com.
Weiwei SuDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Yuge WangDandong Central Hospital, Dandong, 118000, Liaoning, China.
Kaiyan XuDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Jiaxin ChengDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Ying MaDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Yue ZhuDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.
Zhaoquan JiangDepartment of Nursing, Jinzhou Medical University, Jinzhou, 121001, Liaoning, China.

Funding

2023 Jinzhou Medical University Education and Teaching Research and Reform Project YB20230042024 Liaoning Provincial Department of Education Project LJ212413213004Liaoning Province Social Science Planning Fund Project L21CSH004
6 · The paper itself

Abstract

backgroundGood nursing informatics competence and integration into nursing practice are essential skills for clinical nurses. However, there is still a lack of well-developed and comprehensive assessment tools for nursing informatics competence among Chinese clinical nurses. The main objective of this study was to assess the validity and reliability of the Chinese version of the Korean Nursing Informatics Competence Assessment Scale (K-NICAS) among nursing staff and to explore the factors influencing the competence of Chinese clinical nurses in nursing informatics.

methodsThe Brislin mode was used to translate the K-NICAS into Chinese. The questionnaire was administered to clinical nurses in several Chinese general hospitals in 2024. The scale's validity was assessed in three aspects: content validity, structural validity, and criterion-related validity. Construct validity was evaluated via exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Internal consistency, split-half reliability, and test-retest reliability were used to assess the scale's reliability. The factors impacting clinical nurses' nursing informatics competency were investigated via multiple linear regression analysis.

resultsThe Chinese version of the K-NICAS comprises five dimensions and 20 items. The I⁃CVI ranged from 0.86 to 1.00, with good content validity. EFA identified five common factors, and the cumulative total variance explanation rate was 76.3%. The CFA results suggested an appropriate fit for the model. The Information Literacy Questionnaire (ILQ) total score was significantly correlated with the Chinese version of the K-NICAS total score (r = 0.736, p < 0.001). The Cronbach's alpha coefficient and McDonald's omega coefficient of the scale were found to be 0.927. The split-half reliability coefficient was 0.810, and the test-retest reliability was 0.914. Computer self-efficacy, nursing informatics training, education, job satisfaction, computer grade, age, and the use of information devices were the influencing factors of clinical nurses' nursing informatics competence.

conclusionsThe K-NICAS Chinese version is satisfactory in terms of reliability and validity and can be employed to measure Chinese clinical nurses' nursing informatics competency. Nursing administrators should strengthen nursing informatics training and improve information literacy and computer self-efficacy according to nurses' distinctive characteristics to promote the improvement of clinical nurses' informatics competence and the development of nursing informatization. CLINICAL TRIAL NUMBER: The clinical trial was not involved in this study, so the number is not provided.

Indexed as

NursesNursing informaticsProfessional competenceValidation studies

Identifiers

PMID40598338
PMCPMC12210867

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.