Evidence map›Paper›PMID 39386815›Full record

ArticleHeliyon2024

Development of theoretical framework and digital competence assessment checklist (DCAC) for nursing students.

Shannastaniar Aisya Adif, Dhea Natashia, Wei-Hung Lin, Muhammad Hadi, Mei-Feng Lin, Yu-Yun Hsu, Miaofen Yen

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Technology's Impact on Nurse Manager Practices.Nursing administration quarterly
    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

7 authors.

Shannastaniar Aisya AdifDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Dhea NatashiaFaculty of Nursing, Universitas Muhammadiyah Jakarta, Jakarta, Indonesia.
Wei-Hung LinDepartment of Internal Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Muhammad HadiFaculty of Nursing, Universitas Muhammadiyah Jakarta, Jakarta, Indonesia.
Mei-Feng LinDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yu-Yun HsuDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Miaofen YenDepartment of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid development of digital technology impacts all aspects, including nursing education. Nursing programs are tasked with equipping graduates with both clinical skills and digital competence. However, inconsistencies in the conceptual understanding of digital competence in nursing literature, underscore the need to refine the concept. Design: This study involved two phases including a modified Delphi approach and psychometric testing. In Phase 1, the panel of experts in nursing was invited to evaluate the theoretical framework, domain, and item of assessment checklist. In Phase 2, the psychometric properties of the assessment checklist were tested using a quantitative survey. Setting: The study was conducted in Taiwan, Indonesia, and Vietnam. Participant: Participants included 12 nursing experts from Taiwan, Indonesia, and Vietnam during the development phase and 417 nursing students from these countries in the validation phase. Methods: Phase 1 utilized a modified Delphi approach establishing a theoretical framework and assessment checklist. Experts provided feedback on a Likert scale, aiming for consensus. Phase 2 involved a quantitative survey where graduate nursing students rated the DCAC. The analysis process following the recommendation of the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). Results: The theoretical framework defined digital competence across four domains. In the first Delphi round, all items were rated above the consensus threshold. After two rounds, the CVI ranged from .8 to 1.0, suggesting strong agreement among experts. The second phase revealed high discriminant validity among survey items, with Cronbach's alpha indicating high internal consistency. The refined 22-item DCAC showed improved fit indices, confirming the assessment checklist's structure. Conclusion: The developed 22-item DCAC is a valid and reliable tool for measuring digital competence among nursing students. Integration of digital competence into nursing education is essential for preparing students to excel in the healthcare environment.

Indexed as

Digital competenceInstrument developmentModified delphiNursing studentPsychometricScoping review

Identifiers

PMID39386815
PMCPMC11462470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.