Evidence map›Paper›PMID 38590900›Full record

ArticleHeliyon2024

Perceptions and needs for a community nursing virtual simulation system for Chinese nursing students during the COVID-19 pandemic: A qualitative study.

Zhe Liu, Qianghuizi Zhang, Weiwei Liu

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Zhe LiuSchool of Nursing, Capital Medical University, Beijing, 100069, China.
Qianghuizi ZhangSchool of Nursing, Capital Medical University, Beijing, 100069, China.
Weiwei LiuSchool of Nursing, Capital Medical University, Beijing, 100069, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Virtual simulation systems are being increasingly used in the field of nursing education. However, these systems are mostly designed based on the perspective of developers, and the needs of the end users are often neglected. The purpose of this study was to explore the perceptions and needs of Chinese undergraduate nursing students for the development of a community nursing virtual simulation system. Methods: This was a descriptive qualitative study enrolling 12 undergraduate nursing students at a University in China. Data were collected through semi-structured interviews. The content analysis method was used for data analysis. Result: Three themes and 15 sub-themes were extracted from this study: (1) Positive perceptions regarding virtual systems: a) Provides space for trials and errors, b) Not limited by time and space, c) Provides auxiliary tools; (2) Design and use requirements: a) Performance needs, b) Contents design needs, c) Appearance design needs, d) Support Needs; (3) Competency enhancement needs: a) Community nursing practice ability, b) Critical thinking ability, c) Independent thinking ability, d) Ability to deal with emergencies, e)Teamwork skills, f) Self-efficacy, g) Resilience, h)Interpersonal communication skills. Conclusion: Designers and engineers should consider students' needs, aim to improve students' abilities, improve the diversity, the scientific and rigor of content, and enhance user immersion and interest. The system should be programmed to provide real-time feedback, timely technical and professional support, in order to optimize use experience of nursing students.

Indexed as

Community health nursingNursing studentsQualitative researchVirtual simulation

Identifiers

PMID38590900
PMCPMC10999926

What OpenQuestion holds

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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.