Evidence map›Paper›PMID 41068611›Full record

ArticleBMC psychiatry2025

The relationship between components of the biosafety incident response competence for clinical nursing staff: a network analysis.

Chao Wu, Ning Zha, Kai Zhang, Shuai He, Jing He, Mimi Fu, Xinyan Zhang, Hongjuan Lang

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. 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

8 authors.

Chao WuDepartment of Nursing, Air Force Medical University, No.169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Ning ZhaDepartment of Nursing, Air Force Medical University, No.169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Kai ZhangDepartment of Nursing, Air Force Medical University, No.169 Changle West Road, Xi'an, Shaanxi, 710032, China.
Shuai HeXi'an Key Laboratory of Metabolic Disease Imaging, Xi'an No.3 Hospital, Affiliated Hospital of Northwest University, Xi'an, China.
Jing HeDepartment of Laboratory, The Affiliated Hospital of Yan'an University, Yanan, Shaanxi, China.
Mimi FuDepartment of Pharmacy, Sanya Rehabilitation Center, Sanya, Hainan, China.
Xinyan ZhangDepartment of Biomedical Engineering, 32268 Unit, No.111 Pingdeng Road, Dali, Yunnan, 671000, China. 418772831@qq.com.
Hongjuan LangDepartment of Nursing, Air Force Medical University, No.169 Changle West Road, Xi'an, Shaanxi, 710032, China. Langhj@fmmu.edu.cn.

Funding

Construction of a Virtual Simulation Training Platform for Nursing Rescue under the Background of Biosafety Defense 145AHQ080005002XDoctoral Dissertation Project Funding of Air Force Medical University 2023D05Project Establishment and Cultivation of Teaching Achievements at the School Level of Air Force Medical University JXCG2023PY19Shaanxi Province General Project - Social Development Field 2024SF-YBXM-666
6 · The paper itself

Abstract

backgroundBiosafety, which pertains to the prevention of exposure to biological hazards that could pose risks to human health, ecosystems, and the environment, has become a global concern. Nowadays, biosafety threats are widespread and long-standing, posing a severe risk to all human lives. A key measure in tackling biosafety issues is to clarify the competence of clinical nursing staff in responding to biosafety incidents. Nevertheless, little network analysis research has been done on the relationships between the components of clinical nurses’ biosafety incident response competence. PURPOSE: To better and more accurately help clinical nurses enhance their ability to respond to biosafety incidents, this study examined the network structure of the components that make up biosafety incident response competence.

designA network analysis.

methodsFrom September to November 2023, we invited 4600 clinical nurses to participate in our study. Eventually, 4338 nurses provided valid responses, with an effective response rate reaching 94.30% (4338/4600). The biosafety incident response competence of nursing staff was assessed using a scale developed by the research team. Network analysis was adopted for statistical analysis.

resultsIn the current network, “Master the correct collection methods of blood culture samples and nasopharyngeal swabs from patients with biological infection; P5: Understand the vaccination of biosafety protective vaccines”, “Possess the ability to assess the harm of pathogenic microorganisms”, “Master the key points of medical record management and record of patients with biological infection” and “Be familiar with the concept of antimicrobial resistance and the use of antimicrobials” have the highest expected influences. In the community of biosafety infection protection abilities, “Master the correct collection methods of blood culture samples and nasopharyngeal swabs from patients with biological infection” has the highest bridge expected influence. In the community of biosafety event monitoring and warning abilities, “Understand the main points and requirements of detection and screening of pathogenic microorganisms and drug-resistant bacteria” has the highest bridge expected influence. And in the community of biosafety knowledge preparedness, “Possess the ability to properly transport and evacuate bio-infected patients”, and “Be familiar with biosafety incidents involving paramedics that require paramedic involvement” have the highest bridge expected influence.

conclusionThe components of clinical nursing staff’s biosafety incident response competence are interconnected through complex association patterns. From a network analysis perspective, four items exhibit the highest expected influence, signifying their paramount importance within the network. Additionally, another four items possess the highest bridge expected influence, indicating their strongest connections with the other three communities. These findings provide significant implications for clinical practice, as they offer potential targets for interventions aimed at enhancing nursing staff’s ability to handle biosafety events.

Indexed as

BiosecurityClinical CompetenceContainment of BiohazardsNursing Staff, HospitalHumansBiosafety incident response competenceClinical nursing staffNetwork analyses

Identifiers

PMID41068611
PMCPMC12512282

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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.