Evidence map›Paper›PMID 38486252›Full record

ArticleBMC nursing2024

The biosafety incident response competence scale for clinical nursing staff: a development and validation study.

Chao Wu, Hongli Zhang, Yinjuan Zhang, Mengyi Hu, Yawei Lin, Jing He, Shuwen Li, Yulian Zhang, Hong-Juan Lang

Abstract read
In one paragraph

Article in BMC nursing, 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

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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.

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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.

Chao Wu *Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
Hongli Zhang *Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
Yinjuan Zhang *Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
Mengyi HuDepartment of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
Yawei Lin956th Hospital of the Chinese People's Liberation Army, Tibet Xizang, China.
Jing HeLaboratory Department, Yan'an University Affiliated Hospital, Yan'an, Shaanxi, China.
Shuwen LiDepartment of Neurosurgery, Tangdu Hospital, No.1 Xinsi Road, Xi'an, 710032, Shaanxi, China. 1363325087@qq.com.
Yulian ZhangShaanxi Provincial People's Hospital, No.256 Youyi West Road, Xi'an, 710032, Shaanxi, China. zhangyulian03@163.com.
Hong-Juan LangDepartment of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, 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

aimsThis study was designed to develop a biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses.

designThis study employed a sequential approach, comprising four phases: (1) the establishment of a multidimensional conceptual model, (2) the preliminary selection of the items, (3) further exploration and psychometric testing of the items, (4) the application of the scale among clinical nurses.

methodsThe biosafety incident response competence conceptual model was developed through literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary items selection, while 1,027 clinical nurses were involved in the further psychometric testing from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. Reliability was measured using Cronbach's alpha, split-half reliability, and test-retest reliability, while validity analysis included content validity, structural validity, convergent validity, and discriminant validity. From September to November 2023, we conducted a survey using the established scale with a total of 4338 valid questionnaires collected. T-test and variance analysis was employed to determine potential variations in biosafety incident response competence based on participants characteristics.

resultsThe final scale is composed of 4 factors and 29 items, including monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The Cronbach's alpha, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The Scale-level content validity index was 0.866. The Average Variance Extracted of the 4 factors was larger than 0.5, the Construct Reliability was larger than 0.7, and the Heterotrait-Monotrait ratio were less than 0.9. There were significant differences in the scores of response competence among nurses of different ages, working years, titles, positions, departments, marital status and participation in biosafety training (all P < 0.05).

conclusionsThe biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents.

Indexed as

Biosafety incidentNursesReliabilityResponse competenceScaleValidity

Identifiers

PMID38486252
PMCPMC10941487

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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.