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Proactive risk assessment of intrahospital transport of critically ill patients from emergency department to intensive care unit in a teaching hospital and its implications

检查表 医学 急诊科 重症监护室 病危 患者安全 重症监护医学 失效模式及影响分析 医疗急救 重症监护 流程图 急诊医学 医疗保健 护理部 心理学 可靠性工程 工程类 工程制图 经济 认知心理学 经济增长
作者
Weiying Zhang,Jianhong Lv,Jin Zhao,Xiaoyan Ma,Xueyan Li,Hongming Gu,Meiying Zhang,Runv Zhou
出处
期刊:Journal of Clinical Nursing [Wiley]
卷期号:31 (17-18): 2539-2552 被引量:16
标识
DOI:10.1111/jocn.16072
摘要

Abstract Aims and objectives To explore the effects of the health failure mode and effect analysis (HFMEA) used in intrahospital transport (IHT) of critically ill patients from emergency department (ED) to the intensive care unit (ICU). Background Patients who were transported from ED to ICU is highly critical. IHT of these patients is potentially risky, which may associate with adverse events (AEs). The concern of safe IHT can be addressed by performing proactive risk assessments using HFMEA and implementing the findings after the ED of our hospital being reconstructed. Design A qualitative action research study combined with a quantitative cross‐sectional method. Methods According to the HFMEA method, the failure modes of IHT were identified and analysed, and the effect of alterations was verified. We built a project team, drawn up a IHT flow chart, defined steps of IHT, classified the failure modes, calculated risk priority number and analysed by the decision tree, then formulated an action plan and verified the effects of the alterations. Incidence of AEs of transport was compared before and after HFMEA.SQUIRE 2.0 checklist was chosen on reporting the study process. Results The HFMEA outlined a total of 5 major steps and 16 sub‐steps in the IHT process. From this, 64 potential failure modes were identified, with 17 modes having a RPN score higher than 8. Determined by the decision tree, there were 20 priority control failure modes, of which 16 involved 8 IHT alterations. Notable work‐flow alterations included use of a three‐stage hierarchical transport strategy based on patients’ condition assisted by the intelligent assessment system. Incidence of AEs was significantly decreased from 19.64% to 7.14% after the implementation of HFMEA ( p < 0.05). Conclusion Application of the HFMEA in optimising IHT process can improve the safety of transportation, which is worthy of promotion. Hierarchical transport scheme can reduce the incidence of AEs in IHT of critical emergency patients, which mainly includes the integration and construction of the transport team, equipment configuration and patient information system based on the classification of patients’ condition. Relevance to clinical practice Nurses play a crucial role in the IHT process. HFMEA can be adopted for proactive risk assessment of critically ill patients’ IHT from ED to ICU which involves multiple processes. The IHT hierarchical strategy based on the results of failure mode analysis should be more widely used to further verify its clinical effects.
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