在开放儿科重症监护大楼之前进行基于模拟的临床系统测试。

IF 2.1 Q1 Nursing
Benjamin T Kerrey, Stephanie Boyd, Jamie Shoemaker, Matthew Zackoff, Aimee Gardner, Brenda Williams, Brant Merkt, Rachel Keller-Smith, Rebecca DeBra, Shawn McDonough, Gina Klein, Sang Hoon Lee, Kelly Ely, Yin Zhang, Michelle Rios, Gary L Geis
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引用次数: 0

摘要

目的:我们使用基于模拟的临床系统测试(SbCST)来识别和减轻儿科机构大型重症监护大楼(CCB)之前的潜在安全威胁(LSTs)。方法:在一家儿科机构开设7层319张床位的CCB之前,我们完成了一项SbCST项目,以确定lst。广泛的准备过程包括仓库规划会议和正式的接收过程。共有20个护理单位/小组进行了至少一次3小时的现场模拟会议。每个模拟场景持续约1小时(模拟20分钟,汇报40分钟)。参与者包括临床团队和单位利益相关者。主持人接受了SbCST培训,使用改进的促进卓越和反思学习(PEARLS)格式领导汇报,并记录了lst以及建议的缓解措施。单位/组利益相关者使用失效模式和效果分析(FMEA)对lst进行评分,并负责完成缓解措施。结果:在9周的时间内,我们完成了141个预定疗程中的128个(91%)。在所有会议期间,完成了238个场景。平均每个疗程2个,每个单位/护理组12个。我们确定了1500个lst;每个场景的中位数为10 (IQR 7-15,范围0-54)。对1450个(97%)lst进行了FMEA评分。中位FMEA为8 (IQR 4-16);结论:即使在量表上,SbCST也是识别lst的有效工具。FMEA评分和缓解的分类模式增强了SbCST。虽然这个项目的规模有限,但这种方法的任何应用都可能提高类似临床空间的安全性。
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 Systems Testing Before Opening a Pediatric Critical Care Building.

Objective: We used simulation-based clinical systems testing (SbCST) to identify and mitigate latent safety threats (LSTs) before opening a large critical care building (CCB) at a pediatric institution.

Methods: We completed an SbCST project to identify LSTs before opening a 7-floor, 319-bed CCB at a pediatric institution. The extensive preparation process included warehouse planning sessions and a formal intake process. A total of 20 care units/groups had at least one 3-hour in situ simulation session. Each simulation scenario lasted approximately 1 hour (20-minute simulation, 40-minute debriefing). Participants included clinical teams and unit stakeholders. Facilitators received SbCST training, led debriefing using a modified Promoting Excellence And Reflective Learning (PEARLS) format, and documented LSTs along with suggested mitigations. Unit/group stakeholders scored LSTs using failure modes and effect analysis (FMEA) and were responsible for completing mitigations.

Results: We completed 128 of 141 (91%) scheduled sessions over a 9-week period. Across all sessions, 238 scenarios were completed. The mean number of scenarios was 2 per session and 12 per unit/care group. We identified 1500 LSTs; the median per scenario was 10 (IQR 7-15, range 0-54). FMEA scores were assigned to 1450 (97%) LSTs. Median FMEA was 8 (IQR 4-16); 76% of scores were low (<16). Mitigations were suggested for 951 (63%) of LSTs.

Conclusions: Even at scale, SbCST is an effective tool for identifying LSTs. FMEA scoring and a categorization schema for mitigations enhanced SbCST. Although the scale of this project has limited generalizability, any application of this approach would likely enhance the safety of comparable clinical spaces.

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来源期刊
Hospital pediatrics
Hospital pediatrics Nursing-Pediatrics
CiteScore
3.70
自引率
0.00%
发文量
204
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