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Using a Human Factors Approach to Assess Program Evaluation and Usability of the Ventilator Associated Pneumonia Protocol

机译:使用人为因素方法评估呼吸机相关性肺炎协议的计划评估和可用性

摘要

Ventilator-associated pneumonia (VAP) is a healthcare-associated infection (HAI), or more specifically, a healthcare-associated pneumonia (HAP) that can lead to significant morbidity and mortality in hospitalized patients that are being mechanically ventilated. There are established evidence-based guidelines in existence designed to reduce or eliminate VAP from occurring and when properly maintained have been shown to reduce the incidence of VAP. Nurses are at the frontline adhering to the VAP protocol through its integration into their workflow. It is yet unknown what elements of the protocol and workflow contribute to a successful VAP reduction in occurrence and increased patient safety. This program evaluation project, guided by an adapted Systems Engineering Initiative for Patient Safety (SEIPS) model, takes a human-factors approach towards answering these questions. It specifically examines the VAP protocol in a large urban southwestern teaching hospital to evaluate program effectiveness using a human factors approach. Building on the work of Carayon, et al. (2006) and Jansson et al. (2013), I present the findings from this program evaluation project using an adapted SEIPS model that sought to evaluate the VAP prevention program from a human factors perspective addressing the following aims: Aim 1. Determine the effectiveness of using the adapted SEIPS model to evaluate a VAP quality improvement (QI) project; Aim 2. Evaluate a VAP QI program taking a human factors approach; and Aim 3. Using the adapted SEIPS model, identify elements of the VAP bundle that nurses perceive as strength and weaknesses. The project was completed with the following findings: Based on this work the adapted SEIPS model demonstrates usefulness for evaluating QI projects. It would be interesting to continue this work with QI projects to see how well it performs.
机译:呼吸机相关性肺炎(VAP)是医疗保健相关的感染(HAI),或更具体地说,是医疗保健相关的肺炎(HAP),在机械通气的住院患者中,其可导致明显的发病率和死亡率。已经建立了既定的循证指南,旨在减少或消除VAP的发生,并且在适当维护的情况下,已经证明可以减少VAP的发生。通过将VAP协议集成到他们的工作流程中,护士始终站在第一线。尚不清楚协议和工作流程中的哪些要素有助于成功减少VAP的发生并提高患者的安全性。该项目评估项目在经过修改的患者安全系统工程计划(SEIPS)模型的指导下,采用人为因素方法来回答这些问题。它专门检查了西南一家大型教学医院的VAP协议,以使用人为因素方法评估程序的有效性。以Carayon等人的工作为基础。 (2006)和Jansson等。 (2013),我介绍了使用改编的SEIPS模型从该计划评估项目中获得的结果,该模型试图从人为因素的角度评估VAP预防计划,从而实现以下目标:目的1.确定使用改编的SEIPS模型进行评估的有效性VAP质量改进(QI)项目;目标2:采用人为因素方法评估VAP QI计划;和目标3。使用调整后的SEIPS模型,确定护士认为是优势和劣势的VAP捆绑软件的要素。该项目的完成有以下发现:基于这项工作,经过改编的SEIPS模型证明了评估QI项目的有用性。继续对QI项目进行这项工作以查看其性能会很有趣。

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    Britton Dana M.;

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  • 年度 2017
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