Using In Situ Simulation to Identify Latent Safety Threats Prior to the Opening of Novel Patient Care Spaces in the Emergency Department.

IF 2.3 Q2 HEALTH CARE SCIENCES & SERVICES
Briana D Miller, Andrew D Bloom, Helena Kons, Marjorie Lee White
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Abstract

Background: In the era of extreme emergency department (ED) boarding, hospital systems are using novel patient care areas to provide ongoing acute care. In any new patient care environment, there is a high risk for latent safety threats (LSTs), which can negatively affect patient outcomes. A series of in situ systems-based simulations were conducted to identify potential LSTs prior to the opening of a novel mobile care unit (MCU) in a tertiary hospital.

Methods: After a needs assessment in conjunction with institutional leadership, a series of in situ interprofessional simulation sessions were developed to represent realistic scenarios in the MCUs. Simulations included low-frequency high-acuity patient care scenarios as well as high-frequency day-to-day encounters. Data were collected in structured systems-based debriefing sessions via trained observers, video recordings, and participant surveys, with a primary outcome of identifying potential LSTs. The LSTs were categorized and then stratified using the Survey Analysis for Evaluating Risk (SAFER) Matrix. One simulation was repeated after mitigation strategies were employed by institutional leadership.

Results: A total of 117 staff participated in five simulation sessions. In the first round of simulations, 37 LSTs were identified, primarily in the categories of Environment/Wayfinding (13/37, 35.1%) and Communication (6/37, 16.2%). LSTs risk stratified using the SAFER Matrix provided prioritized feedback for hospital leadership to guide mitigation strategies prior to the opening of the new units. One LST was initially classified as high likelihood to harm on the SAFER Matrix. The simulated scenario involving this LST was repeated two weeks later with no further high-risk LSTs identified.

Conclusion: In situ simulations can serve as an effective tool to identify potential LSTs prior to the opening of novel patient care spaces.

在急诊科启用新型病人护理空间之前,利用现场模拟来识别潜在的安全威胁。
背景:在极端急诊科(ED)登机的时代,医院系统正在使用新的患者护理区域来提供持续的急性护理。在任何新的患者护理环境中,潜在安全威胁(LSTs)的风险很高,这可能会对患者的预后产生负面影响。在一家三级医院开设新型流动护理单元(MCU)之前,进行了一系列基于原位系统的模拟,以确定潜在的lst。方法:在与机构领导一起进行需求评估后,开发了一系列现场跨专业模拟会议,以代表mcu中的现实场景。模拟包括低频高急性病人护理场景以及高频日常接触。通过训练有素的观察员、视频记录和参与者调查,在结构化的系统汇报会议中收集数据,主要结果是确定潜在的lst。对lst进行分类,然后使用风险评估调查分析(SAFER)矩阵进行分层。在机构领导采用缓解战略后,重复了一次模拟。结果:共有117名员工参加了5次模拟会议。在第一轮模拟中,确定了37个lst,主要集中在环境/寻路(13/ 37,35.1%)和通信(6/ 37,16.2%)类别。使用SAFER矩阵对lst进行风险分层,为医院领导提供优先反馈,以指导新单位开业前的缓解战略。在SAFER矩阵中,一个LST最初被归类为高危害可能性。两周后,重复了涉及该LST的模拟场景,没有发现进一步的高风险LST。结论:原位模拟可以作为一种有效的工具,在开放新的病人护理空间之前识别潜在的lst。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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