Using Broken Windows Theory as the Backdrop for a Proactive Approach to Threat Identification in Health Care

鉴定(生物学) 可用性 人为错误 风险分析(工程) 患者安全 医疗保健 过程(计算) 计算机科学 医疗急救 计算机安全 过程管理 业务 医学 政治学 人机交互 操作系统 植物 法学 生物
作者
Albert Boquet,Tara Cohen,Jennifer Cabrera,Tracy L. Litzinger,Kevin A. Captain,Michael Fabian,Steven G. Miles,Scott A. Shappell
出处
期刊:Journal of Patient Safety [Lippincott Williams & Wilkins]
卷期号:17 (3): 182-188 被引量:7
标识
DOI:10.1097/pts.0000000000000328
摘要

Historically, health care has relied on error management techniques to measure and reduce the occurrence of adverse events. This study proposes an alternative approach for identifying and analyzing hazardous events. Whereas previous research has concentrated on investigating individual flow disruptions, we maintain the industry should focus on threat windows, or the accumulation of these disruptions. This methodology, driven by the broken windows theory, allows us to identify process inefficiencies before they manifest and open the door for the occurrence of errors and adverse events.Medical human factors researchers observed disruptions during 34 trauma cases at a Level II trauma center. Data were collected during resuscitation and imaging and were classified using a human factors taxonomy: Realizing Improved Patient Care Through Human-Centered Operating Room Design for Threat Window Analysis (RIPCHORD-TWA).Of the 576 total disruptions observed, communication issues were the most prevalent (28%), followed by interruptions and coordination issues (24% each). Issues related to layout (16%), usability (5%), and equipment (2%) comprised the remainder of the observations. Disruptions involving communication issues were more prevalent during resuscitation, whereas coordination problems were observed more frequently during imaging.Rather than solely investigating errors and adverse events, we propose conceptualizing the accumulation of disruptions in terms of threat windows as a means to analyze potential threats to the integrity of the trauma care system. This approach allows for the improved identification of system weaknesses or threats, affording us the ability to address these inefficiencies and intervene before errors and adverse events may occur.

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