Evidence map›Paper›PMID 40290273›Full record

ArticleDigital health

Translation and psychometric evaluation of the Chinese version of the Digital Competence Questionnaire for clinical nurses.

Zhengang Wei, Hongli Liu, Jicheng Zhang, Yan Chen, Lixia Chang, Huiyu Cheng, Xue Bai, Xiaohua Wang, Su Li

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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.

Zhengang WeiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.ORCID https://orcid.org/0009-0006-6295-0329
Hongli LiuShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Jicheng ZhangShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yan ChenShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Lixia ChangShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Huiyu ChengShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xue BaiShandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Xiaohua WangDepartment of Information Technology, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Su LiDepartment of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adequate digital competence is crucial for clinical nurses to effectively adapt to the evolving digital technologies in their practice. Currently, there is a lack of a brief assessment tool in China that comprehensively measures the digital competence of nurses in clinical practice across the dimensions of knowledge, skills, and attitudes. Therefore, this study aims to translate the Digital Competence Questionnaire (DCQ) into Chinese and evaluate its psychometric properties. Methods: Following Brislin's translation model, the DCQ was translated and back-translated, and cultural adaptation and revisions of the Chinese version were conducted through expert consultations and a pilot survey. A cross-sectional study was carried out from July to October 2024 to conduct a methodological investigation on the translation and validation of the DCQ. Results: The Chinese version of the DCQ includes two dimensions-attitude and knowledge & skills-with a total of 12 items. The overall Cronbach's Conclusion: The Chinese version of the DCQ has been successfully introduced in China, demonstrating strong psychometric properties. It can be used in healthcare settings as a tool to assess the digital competence of nurses, providing a basis for developing subsequent digital technology training programs and targeted interventions.

Indexed as

digital competencedigital technologyNursepsychometric evaluationreliabilityvalidity

Identifiers

PMID40290273
PMCPMC12032463

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.