Analysis of General Event Types and Contributing Factors in Patient Safety System Data

A. Tabaie, A. Fong
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Abstract

Patient safety event reporting systems (PSRS) aim to identify safety hazards by encouraging hospital staff to report adverse events, errors, and potential errors in the healthcare system. PSRS collect different information regarding a safety event such as contributing factors and general event types. Users select contributing factors and general event types of a safety incident from predefined lists; therefore, most frequent general event types and contributing factors are commonly recorded together. Contributing factors are often related to the leading cause of an unsafe condition; therefore, identifying contributing factors can help with detecting and mitigating safety issues. In this study, we identified the general event types and contributing factors which were frequently recorded together. We calculated point-wise mutual information (PMI) between each pair to find the association between a contributing factor and a general event type. Our analysis demonstrated strong association between general event type and contributing factors which were most frequently recorded together. Fall and lost/impaired balance (PMI=15.12), skin/tissue and friction/shear (PMI=14.32), and blood bank and patient/sample incorrectly identified (PMI=13.78) were the three pairs of general event type and contributing factors which presented strong association.
患者安全系统数据中一般事件类型及影响因素分析
患者安全事件报告系统(PSRS)旨在通过鼓励医院工作人员报告医疗系统中的不良事件、错误和潜在错误来识别安全隐患。PSRS收集有关安全事件的不同信息,如促成因素和一般事件类型。用户从预定义列表中选择安全事件的促成因素和一般事件类型;因此,最常见的一般事件类型和促成因素通常被记录在一起。促成因素往往与不安全状况的主要原因有关;因此,识别促成因素有助于发现和缓解安全问题。在这项研究中,我们确定了经常一起记录的一般事件类型和促成因素。我们计算了每对之间的逐点互信息(PMI),以找到促成因素和一般事件类型之间的关联。我们的分析表明,一般事件类型和最频繁记录在一起的促成因素之间有很强的相关性。跌倒和平衡丧失/受损(PMI=15.12)、皮肤/组织和摩擦/剪切(PMI=14.32)以及血库和患者/样本识别错误(PMI=13.78)是三对表现出强烈关联的一般事件类型和促成因素。
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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