Suppr超能文献

我们从减少医疗差错的干预措施中学到了什么?

What have we learned about interventions to reduce medical errors?

机构信息

Imperial College Healthcare NHS Trust, London, W2 1NY, UK.

出版信息

Annu Rev Public Health. 2010;31:479-97 1 p following 497. doi: 10.1146/annurev.publhealth.012809.103544.

Abstract

Medical errors and adverse events are now recognized as major threats to both individual and public health worldwide. This review provides a broad perspective on major effective, established, or promising strategies to reduce medical errors and harm. Initiatives to improve safety can be conceptualized as a "safety onion" with layers of protection, depending on their degree of remove from the patient. Interventions discussed include those applied at the levels of the patient (patient engagement and disclosure), the caregiver (education, teamwork, and checklists), the local workplace (culture and workplace changes), and the system (information technology and incident reporting systems). Promising interventions include forcing functions, computerized prescriber order entry with decision support, checklists, standardized handoffs and simulation training. Many of the interventions described still lack strong evidence of benefit, but this should not hold back implementation. Rather, it should spur innovation accompanied by evaluation and publication to share the results.

摘要

医疗差错和不良事件现在被认为是全球范围内个人和公共健康的主要威胁。本综述提供了一个广泛的视角,介绍了减少医疗差错和伤害的主要有效、已确立或有前途的策略。提高安全性的举措可以被概念化为一个“安全洋葱”,具有不同程度的保护,具体取决于其与患者的距离。讨论的干预措施包括应用于患者层面(患者参与和披露)、护理人员层面(教育、团队合作和检查表)、当地工作场所层面(文化和工作场所变化)和系统层面(信息技术和事件报告系统)的干预措施。有前途的干预措施包括强制功能、具有决策支持的计算机化医嘱录入、检查表、标准化交接和模拟培训。许多描述的干预措施仍然缺乏受益的有力证据,但这不应阻碍实施。相反,它应该刺激创新,同时进行评估和发布,以分享结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验