Evidence map›Paper›PMID 41194114›Full record

ArticleBMC nursing2025

Latent profile analysis of core competency in intravenous therapy among Chinese clinical nurses: a multicenter cross-sectional study.

Li Song, Li Yuan, Qiqi Ye, Zhijia Zhang, Jiating Song, Daiyuan Huang, Xi Wen, Qihua Huang

Abstract read
In one paragraph

Article in BMC nursing, 2025. 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
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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.

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4 · The record

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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.

Li SongDepartment of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Li YuanThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Qiqi YeThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhijia ZhangThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiating SongNursing Department, Guangdong Provincial Hospital of Chinese Medicine, Zhuhai, China.
Daiyuan HuangDepartment of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xi WenDepartment of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Qihua HuangDepartment of Gynecology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China. 13710680174@126.com.

Funding

Guangdong Nurses Association P2023035
6 · The paper itself

Abstract

backgroundNurses’ core competency in intravenous (IV) therapy directly impacts patient safety and treatment outcomes. This study aimed to identify latent classes of nurses’ core competency in IV therapy using latent profile analysis and explore key factors influencing these classes to inform targeted interventions.

methodsA multicenter cross-sectional study was conducted from October 2023 to January 2024, involving 821 clinical nurses from 20 provincial-level regions in China. Data was collected using the validated Core Competency in Intravenous Therapy Scale. Latent profile analysis was used to identify competency classes, and multivariate logistic regression was performed to explore risk factors.

resultsThree distinct latent classes were identified: ‘Low IV-Core Competency’ (41.3%), ‘Moderate IV-Core Competency’ (45.9%), and ‘High IV-Core Competency’ (12.8%). Multivariate logistic regression showed that non-specialist nurses in IV therapy and non-participation in intravenous therapy training programs were strongly associated with lower competency.

conclusionsThere is a critical need to improve IV therapy core competency among clinical nurses. Investments in IV specialist nurse development and standardized training are essential to enhance therapy quality and patient safety.

trial registrationNot applicable.

Indexed as

Core competencyIntravenous therapyLatent profile analysisNursesRisk factors

Identifiers

PMID41194114
PMCPMC12587591

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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.