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揭示重症监护病房护理包研究的概念和知识图谱:趋势、关键问题及合作网络。

Unveiling the conceptual and intellectual map of care bundle research in ICUs: Trends, key issues, and collaborative networks.

作者信息

Özkan İlknur, Dünya Cansu Polat, Taylan Seçil

机构信息

Kumluca Faculty of Health Sciences, Internal Medicine Nursing Department, Akdeniz University, Antalya, Turkey.

Faculty of Nursing, Istanbul University, Istanbul, Turkey.

出版信息

Nurs Crit Care. 2025 Mar;30(2):e13234. doi: 10.1111/nicc.13234. Epub 2025 Jan 24.

DOI:10.1111/nicc.13234
PMID:39853927
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11920940/
Abstract

BACKGROUND

Care bundles are evidence-based practices intended to improve patient outcomes and have become a significant focus in intensive care.

AIM

This study aims to identify research trends, key topics, leading researchers, and significant collaborations in care bundle research within ıntensive care units by mapping the conceptual and intellectual structure of the field.

STUDY DESIGN

Data were collected from the Web of Science database, covering publications from 2010 to 2024. The search terms included 'bundle*' or 'bundle* care' and 'intensive care unit' or 'critical care'. The analysis used tools like the Biblometrix package in R and VOSviewer, focusing on performance metrics, co-citation analysis, co-occurrence network analysis, and thematic mapping.

RESULTS

The annual growth rate of publications on care bundles is 6.26%. The most prolific journals include Critical Care Medicine, the American Journal of Infection Control, and Infection Control and Hospital Epidemiology. Thematic mapping shows research is concentrated on critical areas such as infection control, patient safety, and quality improvement. While some themes, like 'intensive care units' and 'central line-associated bloodstream infection', are well-developed and central, others like 'maternal safety consensus' and 'safety consensus bundle' are highly developed but less central. Emerging themes like 'acute kidney injury' suggest potential areas for future research.

CONCLUSIONS

This bibliometric analysis offers a comprehensive overview of intensive care unit care bundle research, highlighting a strong focus on critical issues like infection control, patient safety, and care quality improvement.

RELEVANCE TO CLINICAL PRACTICE

The study provides crucial insights for clinical practice by identifying key research trends and underexplored topics related to intensive care unit care bundles. These findings can guide the development of more effective care protocols, promote multidisciplinary collaboration, and enhance healthcare professional education, ultimately contributing to optimized patient care and high standards in the intensive care unit through improved care bundle implementation.

摘要

背景

护理集束是旨在改善患者预后的循证实践,已成为重症监护领域的一个重要焦点。

目的

本研究旨在通过绘制该领域的概念和知识结构,确定重症监护病房护理集束研究的研究趋势、关键主题、主要研究者和重要合作。

研究设计

从科学网数据库收集数据,涵盖2010年至2024年的出版物。检索词包括“集束*”或“集束*护理”以及“重症监护病房”或“危重症护理”。分析使用了R语言中的Biblometrix包和VOSviewer等工具,重点关注绩效指标、共被引分析、共现网络分析和主题映射。

结果

护理集束相关出版物的年增长率为6.26%。发文量最多的期刊包括《重症医学》《美国感染控制杂志》和《感染控制与医院流行病学》。主题映射显示研究集中在感染控制、患者安全和质量改进等关键领域。虽然一些主题,如“重症监护病房”和“中心静脉导管相关血流感染”发展成熟且处于核心地位,但其他主题,如“孕产妇安全共识”和“安全共识集束”虽发展程度高但核心地位较低。“急性肾损伤”等新兴主题表明了未来研究的潜在领域。

结论

这项文献计量分析全面概述了重症监护病房护理集束研究,突出了对感染控制、患者安全和护理质量改进等关键问题的高度关注。

与临床实践的相关性

该研究通过识别与重症监护病房护理集束相关的关键研究趋势和未充分探索的主题,为临床实践提供了重要见解。这些发现可指导制定更有效的护理方案,促进多学科合作,并加强医护专业教育,最终通过改进护理集束的实施,为重症监护病房的优化患者护理和高标准做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/6f272afee50d/NICC-30-0-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/b4b5f57cf9a9/NICC-30-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/78e2b490d748/NICC-30-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/dc12a09950ff/NICC-30-0-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/8a4b4bd1c511/NICC-30-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/0e8f931ca49b/NICC-30-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/bd8426030c6d/NICC-30-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/de758e548522/NICC-30-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/6f272afee50d/NICC-30-0-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/b4b5f57cf9a9/NICC-30-0-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/78e2b490d748/NICC-30-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/dc12a09950ff/NICC-30-0-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/8a4b4bd1c511/NICC-30-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/0e8f931ca49b/NICC-30-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/bd8426030c6d/NICC-30-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/de758e548522/NICC-30-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/11920940/6f272afee50d/NICC-30-0-g008.jpg

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Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice.
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Creating the ICU of the future: patient-centred design to optimise recovery.打造未来的 ICU:以患者为中心的设计,优化康复。
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Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis.全球重症监护人工智能研究趋势,重点关注弦网络图表:文献计量分析。
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