Evidence map›Paper›PMID 39709385›Full record

ArticleBMC medical education2024

Evaluation and improvement of nursing undergraduates' informatics competencies using a hybrid multi-criteria decision-making model.

Chao Liu, YouYou Hong, Wei-Ling Hu, Lili Feng, Yen-Ching Chuang, Bing-Long Wang

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Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chao Liu *Shenzhen Dapeng New District Medical and Health Group, Shenzhen, China.
YouYou Hong *Taizhou Hospital of Traditional Chinese Medicine, Taizhou, China.
Wei-Ling HuSchool of Medicine, Taizhou University, Taizhou, Zhejiang, 318000, China. hwlyxy@tzc.edu.cn.
Lili FengNursing Department, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, 318000, China. Lilifeng0313@yeah.net.
Yen-Ching ChuangBusiness College, Taizhou University, Taizhou, Zhejiang, 318000, China. yenching.chuang@gmail.com.
Bing-Long WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China. wangbinglong@sph.pumc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNursing staff need to be constantly exposed to information systems at work and encounter patients who share medical data obtained from the internet; this was widely observed during the coronavirus disease 2019 (COVID-19) pandemic. Hence, nursing staff should have the necessary skills and education that can help them develop nursing students' informatics competencies. However, research on assessing and improving nursing students' informatics competencies remains scarce.

objectiveThis study aimed to provide nursing educators with a refined evaluation model and targeted improvement strategies tailored to enhance undergraduate students' informatics competencies.

designA cross-sectional study.

methodsThis study constructed a hybrid multiple-criteria decision-making model. The analytical hierarchical process was applied to obtain criteria weights; thereafter, the Visekriterijumska Optimizacija I Kompromisno Resenje with Aspiration-level (VIKOR-AS) method was used to assess undergraduate nursing students' informatics competencies of in the case hospital.

participantsData were obtained from 22 clinically experienced nurses with experience in supervising undergraduate nursing students at a secondary public hospital in Zhejiang Province, China.

resultsAccording to the weighted results, "Skill (C

conclusionsThis study model remedies the shortcomings of previous studies on evaluating undergraduate students' informatics competency dimensions, provides a reference for nursing colleges to develop nursing informatics-related curriculum content, and helps train nursing instructors to assess and train specific students. The results indicate that information skills are an important factor in the development of nursing students' informatics competencies; hence, nursing educators should prioritize the development of nursing students' informatics competencies, followed by information knowledge and attitudes.

Indexed as

Education, Nursing, BaccalaureateNursing InformaticsStudents, NursingAdultChinaClinical CompetenceCOVID-19Cross-Sectional StudiesDecision MakingFemaleHumansMaleYoung AdultAnalytical Hierarchical Process (AHP)Educational measurementMulti-criteria Decision-making (MCDM)Nursing informaticsVisekriterijumska Optimizacija I Kompromisno Resenje with Aspir-level (VIKOR-AS)

Identifiers

PMID39709385
PMCPMC11663347

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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 OpenQuestion graph.