基于模拟的新生儿复苏准备临床系统测试在农村医疗系统中发现了常见的潜在安全威胁。

IF 2.3 Q2 HEALTH CARE SCIENCES & SERVICES
Jeffrey Holmes, Micheline Chipman, Beth Gray, Timothy Pollick, Samantha Piro, Leah Seften, Alexa Craig, Allison Zanno, Misty Melendi, Leah Mallory
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引用次数: 0

摘要

背景:模拟提供了一个机会来实践新生儿复苏和测试临床系统,以提高安全性。作者使用基于模拟的临床系统测试(SbCST)与医疗失败模式和效果分析(HFMEA)标签,对8家农村分娩医院现场培训期间的潜在安全威胁(LSTs)进行分类和量化。研究小组假设,大多数lst在医院都很常见。跨站点确定了LST主题。方法:2019年5月至2023年5月,新生儿模拟小组对177名跨专业产房团队成员进行了为期半天的培训。各队参加了技能站,然后进行现场模拟,并听取了情况汇报。促进者包括接受过HFMEA培训的新生儿学家和模拟教员。每个场址都完成了HFMEA准则,并在后续行动中制定了缓解战略。跨站点比较lst。结果:共鉴定出67个不同的lst。67例中有41例(61.2%)为多家医院共有,26例(38.8%)为单个医院特有。lst分布在五个系统类别和三个团队类别中。在75%或更多的医院检测到的4个lst是缺乏明确的新生儿输血方案,不一致地使用闭环通信,获取额外资源的过程不一致,以及不一致地使用记录仪。结论:在整个卫生系统中使用SbCST可以比较每个站点的lst,并确定减轻安全威胁的常见机会。全系统分析为领导者提供指导资源分配所需的数据,以跟踪和确保优先lst解决方案的有效实施。确定主题可以使其他尚未参加模拟测试的医院参与到预期准备工作中来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation-Based Clinical System Testing of Neonatal Resuscitation Readiness Across a Rural Health System Identifies Common Latent Safety Threats.

Background: Simulation offers an opportunity to practice neonatal resuscitation and test clinical systems to improve safety. The authors used simulation-based clinical systems testing (SbCST) with a Healthcare Failure Mode and Effect Analysis (HFMEA) rubric to categorize and quantify latent safety threats (LSTs) during in situ training in eight rural delivery hospitals. The research team hypothesized that most LSTs would be common across hospitals. LST themes were identified across sites.

Methods: Between May 2019 and May 2023, the neonatal simulation team conducted half-day training sessions including a total of 177 interprofessional delivery room team members. Teams participated in skills stations, followed by in situ simulations with facilitated debriefs. Facilitators included neonatologists and simulation faculty trained in HFMEA. HFMEA rubrics were completed for each site with mitigation strategies captured on follow-up. LSTs were compared across sites.

Results: A total of 67 distinct LSTs were identified. Forty-one of 67 (61.2%) were shared by more than one hospital, and 26 (38.8%) were unique to individual hospitals. LSTs were distributed across five systems categories and three teams categories. The 4 LSTs detected at 75% or more of hospitals were lack of clear newborn blood transfusion protocols, inconsistent use of closed-loop communication, inconsistent processes for accessing additional resources, and inconsistent use of a recorder.

Conclusion: Use of SbCST across a health system allows for comparison of LSTs at each site and identification of common opportunities to mitigate safety threats. Systemwide analysis provides leaders with data needed to guide resource allocation to track and ensure effective implementation of solutions for prioritized LSTs. Identification of themes may allow other hospitals that have not participated in simulation testing to engage in prospective readiness efforts.

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来源期刊
CiteScore
3.80
自引率
4.30%
发文量
116
审稿时长
49 days
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