通过模拟提高质量;在医疗保健关键事件发生后制定模拟干预设计指南。

IF 2.8 Q2 HEALTH CARE SCIENCES & SERVICES Advances in simulation (London, England) Pub Date : 2024-07-17 DOI:10.1186/s41077-024-00300-8
Cristina Diaz-Navarro, Bridie Jones, Gethin Pugh, Michael Moneypenny, Marc Lazarovici, David J Grant
{"title":"通过模拟提高质量;在医疗保健关键事件发生后制定模拟干预设计指南。","authors":"Cristina Diaz-Navarro, Bridie Jones, Gethin Pugh, Michael Moneypenny, Marc Lazarovici, David J Grant","doi":"10.1186/s41077-024-00300-8","DOIUrl":null,"url":null,"abstract":"<p><p>Simulation educators are often requested to provide multidisciplinary and/or interprofessional simulation training in response to critical incidents. Current perspectives on patient safety focus on learning from failure, success and everyday variation. An international collaboration has led to the development of an accessible and practical framework to guide the implementation of appropriate simulation-based responses to clinical events, integrating quality improvement, simulation and patient safety methodologies to design appropriate and impactful responses. In this article, we describe a novel five-step approach to planning simulation-based interventions after any events that might prompt simulation-based learning in healthcare environments. This approach guides teams to identify pertinent events in healthcare, involve relevant stakeholders, agree on appropriate change interventions, elicit how simulation can contribute to them and share the learning without aggravating the second victim phenomenon. The framework is underpinned by Deming's System of Profound Knowledge, the Model for Improvement and translational simulation. It aligns with contemporary socio-technical models in healthcare, by emphasising the role of clinical teams in designing adaptation and change for improvement, as well as encouraging collaborations to enhance patient safety in healthcare. For teams to achieve this adaptive capacity that realises organisational goals of continuous learning and improvement requires the breaking down of historical silos through the creation of an infrastructure that formalises relationships between service delivery, safety management, quality improvement and education. This creates opportunities to learn by design, rather than chance, whilst striving to close gaps between work as imagined and work as done.</p>","PeriodicalId":72108,"journal":{"name":"Advances in simulation (London, England)","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11253482/pdf/","citationCount":"0","resultStr":"{\"title\":\"Improving quality through simulation; developing guidance to design simulation interventions following key events in healthcare.\",\"authors\":\"Cristina Diaz-Navarro, Bridie Jones, Gethin Pugh, Michael Moneypenny, Marc Lazarovici, David J Grant\",\"doi\":\"10.1186/s41077-024-00300-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Simulation educators are often requested to provide multidisciplinary and/or interprofessional simulation training in response to critical incidents. Current perspectives on patient safety focus on learning from failure, success and everyday variation. An international collaboration has led to the development of an accessible and practical framework to guide the implementation of appropriate simulation-based responses to clinical events, integrating quality improvement, simulation and patient safety methodologies to design appropriate and impactful responses. In this article, we describe a novel five-step approach to planning simulation-based interventions after any events that might prompt simulation-based learning in healthcare environments. This approach guides teams to identify pertinent events in healthcare, involve relevant stakeholders, agree on appropriate change interventions, elicit how simulation can contribute to them and share the learning without aggravating the second victim phenomenon. The framework is underpinned by Deming's System of Profound Knowledge, the Model for Improvement and translational simulation. It aligns with contemporary socio-technical models in healthcare, by emphasising the role of clinical teams in designing adaptation and change for improvement, as well as encouraging collaborations to enhance patient safety in healthcare. For teams to achieve this adaptive capacity that realises organisational goals of continuous learning and improvement requires the breaking down of historical silos through the creation of an infrastructure that formalises relationships between service delivery, safety management, quality improvement and education. This creates opportunities to learn by design, rather than chance, whilst striving to close gaps between work as imagined and work as done.</p>\",\"PeriodicalId\":72108,\"journal\":{\"name\":\"Advances in simulation (London, England)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11253482/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in simulation (London, England)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s41077-024-00300-8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in simulation (London, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41077-024-00300-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

模拟教育工作者经常被要求提供多学科和/或跨专业模拟培训,以应对突发事件。目前有关患者安全的观点侧重于从失败、成功和日常变化中学习。通过国际合作,我们开发出了一个方便实用的框架,用于指导对临床事件采取适当的模拟应对措施,将质量改进、模拟和患者安全方法结合起来,设计出适当而有影响力的应对措施。在这篇文章中,我们介绍了一种新颖的五步方法,用于在医疗环境中发生任何可能引发模拟学习的事件后,规划基于模拟的干预措施。该方法指导团队识别医疗保健中的相关事件,让相关利益方参与进来,就适当的变革干预措施达成一致,了解模拟如何促进这些干预措施,并在不加剧第二受害者现象的情况下分享学习成果。该框架以戴明的深奥知识体系、改进模式和转化模拟为基础。它与当代医疗保健领域的社会-技术模式相一致,强调临床团队在设计适应性和改进变革中的作用,并鼓励合作以提高医疗保健领域的患者安全。要使团队具备这种适应能力,实现持续学习和改进的组织目标,就需要通过建立基础设施,将服务提供、安全管理、质量改进和教育之间的关系正规化,从而打破历史上的各自为政。这就为通过设计而非偶然的方式进行学习创造了机会,同时努力缩小想象中的工作与实际工作之间的差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Improving quality through simulation; developing guidance to design simulation interventions following key events in healthcare.

Simulation educators are often requested to provide multidisciplinary and/or interprofessional simulation training in response to critical incidents. Current perspectives on patient safety focus on learning from failure, success and everyday variation. An international collaboration has led to the development of an accessible and practical framework to guide the implementation of appropriate simulation-based responses to clinical events, integrating quality improvement, simulation and patient safety methodologies to design appropriate and impactful responses. In this article, we describe a novel five-step approach to planning simulation-based interventions after any events that might prompt simulation-based learning in healthcare environments. This approach guides teams to identify pertinent events in healthcare, involve relevant stakeholders, agree on appropriate change interventions, elicit how simulation can contribute to them and share the learning without aggravating the second victim phenomenon. The framework is underpinned by Deming's System of Profound Knowledge, the Model for Improvement and translational simulation. It aligns with contemporary socio-technical models in healthcare, by emphasising the role of clinical teams in designing adaptation and change for improvement, as well as encouraging collaborations to enhance patient safety in healthcare. For teams to achieve this adaptive capacity that realises organisational goals of continuous learning and improvement requires the breaking down of historical silos through the creation of an infrastructure that formalises relationships between service delivery, safety management, quality improvement and education. This creates opportunities to learn by design, rather than chance, whilst striving to close gaps between work as imagined and work as done.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.70
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊最新文献
Effectiveness of hybrid simulation training on medical student performance in whole-task consultation of cardiac patients: The ASSIMILATE EXCELLENCE randomized waitlist-controlled trial. Using simulation scenarios and a debriefing structure to promote feedback skills among interprofessional team members in clinical practice. Reclaiming identities: exploring the influence of simulation on refugee doctors' workforce integration. TEAMs go VR-validating the TEAM in a virtual reality (VR) medical team training. Theoretical foundations and implications of augmented reality, virtual reality, and mixed reality for immersive learning in health professions education.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1