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一种基于机器学习的方法,用于口腔颌面外科护理中针刺伤的精准风险分层和多因素分析。

A machine learning-based approach for precision risk stratification and multifactorial analysis of needlestick injuries in oral and maxillofacial surgery nursing.

作者信息

Deng Xiulan, Han Jiayang, Yin Linlin, Pang Yongzhi, Han Qingbin, Zhao Lu, Liu Wenlei, Li Qing

机构信息

Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250014, China.

School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.

出版信息

BMC Nurs. 2025 Jul 1;24(1):698. doi: 10.1186/s12912-025-03362-9.

DOI:10.1186/s12912-025-03362-9
PMID:40598230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12211974/
Abstract

BACKGROUND

Needlestick injuries are a significant occupational hazard for oral and maxillofacial surgery nurses. This hazard results from complex procedures, limited workspace, and frequent handling of sharp instruments. This study uses advanced clustering and dimensionality reduction techniques to identify high-risk groups and key contributing factors.

METHODS

A structured questionnaire was administered to 224 nurses in five hospitals in Shandong Province. Spearman correlation analysis was used to identify critical risk variables, while K-means clustering and t-SNE visualization were used for risk stratification.

RESULTS

The study results showed that 33.93% of the nurses were classified as high risk, 35.27% as medium risk, and 30.8% as low risk. Analysis revealed that nurses in the high-risk category experienced significantly poor working conditions and suboptimal instrument management (P < 0.001), as well as lower levels of patient cooperation and more challenging surgical environments (P < 0.001).

CONCLUSIONS

These findings underscore the urgent need for data-driven, targeted interventions to improve the surgical environment, optimize instrument management, and enhance patient cooperation, providing a robust framework for reducing needlestick injuries in oral and maxillofacial surgical care.

TRIAL REGISTRATION

Not applicable.

摘要

背景

针刺伤是口腔颌面外科护士面临的重大职业危害。这种危害源于复杂的操作程序、有限的工作空间以及频繁处理锐器。本研究采用先进的聚类和降维技术来识别高危群体和关键影响因素。

方法

对山东省五家医院的224名护士进行了结构化问卷调查。采用Spearman相关性分析来识别关键风险变量,同时使用K均值聚类和t-SNE可视化进行风险分层。

结果

研究结果显示,33.93%的护士被归类为高风险,35.27%为中等风险,30.8%为低风险。分析表明,高风险类别的护士工作条件明显较差,器械管理欠佳(P < 0.001),患者配合度较低,手术环境更具挑战性(P < 0.001)。

结论

这些发现强调迫切需要采取数据驱动的针对性干预措施,以改善手术环境、优化器械管理并增强患者配合度,为减少口腔颌面外科护理中的针刺伤提供有力框架。

试验注册

不适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/88462895a03f/12912_2025_3362_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/71d0ef223973/12912_2025_3362_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/41005be3fc5d/12912_2025_3362_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/c1c2b78cea7b/12912_2025_3362_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/88462895a03f/12912_2025_3362_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/71d0ef223973/12912_2025_3362_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/41005be3fc5d/12912_2025_3362_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/c1c2b78cea7b/12912_2025_3362_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/12211974/88462895a03f/12912_2025_3362_Fig4_HTML.jpg

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