• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

围手术期护理结构和非例行事件:网络分析。

Perioperative Care Structures and Non-Routine Events: Network Analysis.

机构信息

Vanderbilt University Medical Center, Nashville, TN, USA.

The University of Texas Health Science Center at Houston, TX, USA.

出版信息

Stud Health Technol Inform. 2022 Jun 6;290:359-363. doi: 10.3233/SHTI220096.

DOI:10.3233/SHTI220096
PMID:35673035
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9213069/
Abstract

Non-routine events (NREs) are any aspect of care perceived by clinicians as a deviation from optimal care. The reporting of NREs to peers (or care teams) may help healthcare organizations improve patient safety in high-risk work environments (e.g., surgery). While various factors, including care structure and organizational factors may influence a clinician's NRE reporting behavior, their role has not been systematically studied. We conducted a retrospective study relying on NREs and electronic health records to determine if perioperative interaction structures among clinicians are associated with the frequency of NRE reporting in a large academic medical center. The data covers November 1, 2016, to January 31, 2019 and includes 295 perioperative clinicians, 225 neonatal surgical cases, and 543 NREs. Using network analysis, we measured a clinician's status in interaction structures according to the sociometric factors of degree, betweenness, and eigenvector centrality. We applied a proportional odds model to measure the relationship between each sociometric factor and NRE reporting frequency. Our findings indicate that the centrality of clinicians is directly associated with the quantity of NREs per surgical case.

摘要

非例行事件(NREs)是临床医生认为偏离最佳护理的任何护理方面。向同行(或护理团队)报告 NRE 可能有助于医疗保健组织改善高风险工作环境(例如手术)中的患者安全。虽然包括护理结构和组织因素在内的各种因素可能会影响临床医生的 NRE 报告行为,但他们的作用尚未得到系统研究。我们进行了一项回顾性研究,依赖 NRE 和电子健康记录来确定临床医生之间的围手术期相互作用结构是否与大型学术医疗中心 NRE 报告的频率相关。该数据涵盖了 2016 年 11 月 1 日至 2019 年 1 月 31 日,包括 295 名围手术期临床医生、225 例新生儿手术病例和 543 例 NRE。我们使用网络分析根据度、中介性和特征向量中心性的社会计量因素来衡量临床医生在相互作用结构中的地位。我们应用比例优势模型来衡量每个社会计量因素与 NRE 报告频率之间的关系。我们的研究结果表明,临床医生的中心性与每个手术病例中的 NRE 数量直接相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/7ba882a1eee4/nihms-1817266-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/ac835cae3f92/nihms-1817266-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/871268154260/nihms-1817266-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/8c886c527aa3/nihms-1817266-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/3b8973bce0e6/nihms-1817266-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/dbb62cd79d1e/nihms-1817266-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/7ba882a1eee4/nihms-1817266-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/ac835cae3f92/nihms-1817266-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/871268154260/nihms-1817266-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/8c886c527aa3/nihms-1817266-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/3b8973bce0e6/nihms-1817266-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/dbb62cd79d1e/nihms-1817266-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca3/9213069/7ba882a1eee4/nihms-1817266-f0006.jpg

相似文献

1
Perioperative Care Structures and Non-Routine Events: Network Analysis.围手术期护理结构和非例行事件:网络分析。
Stud Health Technol Inform. 2022 Jun 6;290:359-363. doi: 10.3233/SHTI220096.
2
Defining the Epidemiology of Safety Risks in Neonatal Intensive Care Unit Patients Requiring Surgery.定义需要手术的新生儿重症监护病房患者的安全风险的流行病学。
J Patient Saf. 2021 Dec 1;17(8):e694-e700. doi: 10.1097/PTS.0000000000000680.
3
Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study.评估 COVID-19 大流行前后新生儿重症监护病房的结构和结果:网络分析研究。
J Med Internet Res. 2021 Oct 20;23(10):e27261. doi: 10.2196/27261.
4
A pilot study to determine the incidence, type, and severity of non-routine events in neonates undergoing gastrostomy tube placement.一项旨在确定接受胃造口管放置的新生儿中非常规事件的发生率、类型和严重程度的初步研究。
J Pediatr Surg. 2022 Jul;57(7):1342-1348. doi: 10.1016/j.jpedsurg.2021.10.019. Epub 2021 Oct 29.
5
Understanding Patient and Clinician Reported Nonroutine Events in Ambulatory Surgery.理解门诊手术中的患者和临床医生报告的非例行事件。
J Patient Saf. 2023 Mar 1;19(2):e38-e45. doi: 10.1097/PTS.0000000000001089. Epub 2022 Dec 27.
6
Learning from Non-Routine Events and Teamwork in Intensive Care Units: Challenges and Opportunities.从重症监护病房中的非例行事件和团队合作中学习:挑战与机遇。
Stud Health Technol Inform. 2024 Jan 25;310:324-328. doi: 10.3233/SHTI230980.
7
Impact of patient handover structure on neonatal perioperative safety.患者交接结构对新生儿围手术期安全的影响。
J Perinatol. 2019 Mar;39(3):453-467. doi: 10.1038/s41372-018-0305-6. Epub 2019 Jan 17.
8
Modeling Care Team Structures in the Neonatal Intensive Care Unit through Network Analysis of EHR Audit Logs.通过电子健康记录审计日志的网络分析对新生儿重症监护病房的护理团队结构进行建模。
Methods Inf Med. 2019 Nov;58(4-05):109-123. doi: 10.1055/s-0040-1702237. Epub 2020 Mar 13.
9
Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study.新冠重症监护中的协作结构:回顾性网络分析研究
JMIR Hum Factors. 2021 Mar 8;8(1):e25724. doi: 10.2196/25724.
10
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.

本文引用的文献

1
Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study.新冠重症监护中的协作结构:回顾性网络分析研究
JMIR Hum Factors. 2021 Mar 8;8(1):e25724. doi: 10.2196/25724.
2
Classification strategies for non-routine events occurring in high-risk patient care settings: A scoping review.高风险患者护理环境中发生的非常规事件的分类策略:一项范围综述。
J Eval Clin Pract. 2021 Apr;27(2):464-471. doi: 10.1111/jep.13456. Epub 2020 Aug 16.
3
Network Analysis Subtleties in ICU Structures and Outcomes.重症监护病房结构与结局中的网络分析微妙之处
Am J Respir Crit Care Med. 2020 Dec 1;202(11):1606-1607. doi: 10.1164/rccm.202008-3114LE.
4
Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay.新生儿重症监护病房的医疗服务网络与住院时间相关。
IEEE Conf Collab Internet Comput. 2019 Dec;2019:127-134. doi: 10.1109/CIC48465.2019.00024. Epub 2020 Feb 13.
5
Modeling Care Team Structures in the Neonatal Intensive Care Unit through Network Analysis of EHR Audit Logs.通过电子健康记录审计日志的网络分析对新生儿重症监护病房的护理团队结构进行建模。
Methods Inf Med. 2019 Nov;58(4-05):109-123. doi: 10.1055/s-0040-1702237. Epub 2020 Mar 13.
6
Interaction patterns of trauma providers are associated with length of stay.创伤提供者的互动模式与住院时间有关。
J Am Med Inform Assoc. 2018 Jul 1;25(7):790-799. doi: 10.1093/jamia/ocy009.
7
Learning bundled care opportunities from electronic medical records.从电子病历中学习捆绑式护理的机会。
J Biomed Inform. 2018 Jan;77:1-10. doi: 10.1016/j.jbi.2017.11.014. Epub 2017 Nov 22.
8
Adverse drug reactions in neonates: a prospective study.新生儿药物不良反应:一项前瞻性研究。
Arch Dis Child. 2016 Apr;101(4):371-6. doi: 10.1136/archdischild-2015-309396. Epub 2016 Jan 27.
9
Factors Associated with Adverse Events during Tracheal Intubation in the NICU.新生儿重症监护病房气管插管期间不良事件的相关因素
Neonatology. 2015;108(1):23-9. doi: 10.1159/000381252. Epub 2015 May 6.
10
Adverse events and other incidents in neonatal intensive care units.新生儿重症监护病房的不良事件及其他事故
Cien Saude Colet. 2015 Mar;20(3):937-46. doi: 10.1590/1413-81232015203.16912013.