Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
Department of Anesthesia and Perioperative Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
BMJ Qual Saf. 2020 Apr;29(4):320-328. doi: 10.1136/bmjqs-2019-009422. Epub 2019 Nov 13.
Few studies have explored the work of sterile processing departments (SPD) from a systems perspective. Effective decontamination is critical for removing organic matter and reducing microbial levels from used surgical instruments prior to disinfection or sterilisation and is delivered through a combination of human work and supporting technologies and processes.
In this paper we report the results of a work systems analysis that sought to identify the complex multilevel interdependencies that create performance variation in decontamination and identify potential improvement interventions.
The research was conducted at a 700-bed academic hospital with two reprocessing facilities decontaminating approximately 23 000 units each month. Mixed methods, including 56 hours of observations of work as done, formal and informal interviews with relevant stakeholders and analysis of data collected about the system, were used to iteratively develop a process map, task analysis, abstraction hierarchy and a variance matrix.
We identified 21 different performance shaping factors, 30 potential failures, 16 types of process variance, and 10 outcome variances in decontamination. Approximately 2% of trays were returned to decontamination from assembly, while decontamination problems were found in about 1% of surgical cases. Staff knowledge, production pressures, instrument design, tray composition and workstation design contributed to outcomes such as reduced throughput, tray defects, staff injuries, increased inventory and equipment costs, and patient injuries.
Ensuring patients and technicians' safety and efficient SPD operation requires improved design of instruments and the decontamination area, skilled staff, proper equipment maintenance and effective coordination of reprocessing tasks.
很少有研究从系统的角度探讨无菌处理部门(SPD)的工作。有效的去污对于在消毒或灭菌之前从使用过的手术器械上去除有机物和降低微生物水平至关重要,这是通过人工工作以及支持技术和流程的结合来实现的。
本文报告了一项工作系统分析的结果,该分析旨在确定造成去污性能差异的复杂多层次相互依存关系,并确定潜在的改进干预措施。
该研究在一家拥有两个再处理设施的 700 床位学术医院进行,这两个设施每月大约要对 23000 个单位进行去污处理。采用混合方法,包括观察实际工作的 56 小时、与相关利益攸关方进行正式和非正式访谈以及对系统收集的数据进行分析,用于迭代开发过程图、任务分析、抽象层次和方差矩阵。
我们确定了 21 种不同的绩效塑造因素、30 种潜在失效、16 种过程方差和 10 种去污方差。大约有 2%的器械从装配处返回去污处理,而在大约 1%的手术病例中发现了去污问题。员工知识、生产压力、器械设计、托盘构成和工作站设计都导致了一些结果,如降低吞吐量、托盘缺陷、员工受伤、增加库存和设备成本以及患者受伤。
确保患者和技术人员的安全以及 SPD 的高效运行需要改进器械和去污区的设计、具备熟练技能的员工、适当的设备维护以及有效协调再处理任务。