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首页> 外文期刊>The joint commission journal on quality and patient safety >Reducing Errors During Patient-Controlled Analgesia Therapy Through Failure Mode and Effects Analysis
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Reducing Errors During Patient-Controlled Analgesia Therapy Through Failure Mode and Effects Analysis

机译:通过失败模式和效果分析减少患者自控镇痛治疗期间的错误

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Background: Despite the technologic advances in design, resulting in the development of "smart" pumps to help deliver analgesia more safely, patient-controlled analgesia (PCA) is still involved in a significant proportion of the medication errors ascribed to intravenous (IV) drug administration, many of which have harmed patients. In 2003, Failure Mode and Effects Analysis (FMEA) was used to assess the PCA process at a 695-bed teaching and research tertiary hospital.rnIdentifying and Addressing Failure Modes: For thernthree processes with hazard scores > 8-patient selection, prescribing, and medication administration-the potential cause(s) were identified, allowing the process to be redesigned to eliminate the potential cause(s). Results: In January 2003 to May 2003, before the FMEA process began, there were 11 PCA errors (extrapolated to 26 for the entire 2003 calendar year). In 2004, when most of the corrective actions were taken, there were 22 reported PCA errors. In October 2007, a new online occurrence-reporting program was implemented, making reporting much easier. From October 2007 through September 2008, there were only 8 reported PCA errors, representing a 69% reduction from baseline. No serious adverse events were associated with any of these PCA errors. Discussion: Despite the reduction in PCA errors since the FMEA was conducted, misprogramming of drug concentration remains a common PCA error. Solutions include safety software for IV infusion pumps, an integral bar-code reader for detecting concentration errors, and interoperability of the software with other hospital information systems. One lesson learned was that an FMEA can lead to resolution of problems beyond the scope of original intent-in this case, the development of a new system for identifying all broken equipment.
机译:背景:尽管技术上的设计进步,导致开发了“智能”泵以帮助更安全地进行镇痛,但患者控制镇痛(PCA)仍涉及静脉注射(IV)药物引起的大部分用药错误用药,其中许多已经伤害了患者。 2003年,故障模式和影响分析(FMEA)用于评估在695张病床的教学和研究三级医院的PCA流程。识别和解决故障模式:对于危险评分> 8的三个流程,患者选择,处方和药物管理-确定了潜在原因,从而可以重新设计流程以消除潜在原因。结果:2003年1月至2003年5月,在FMEA流程开始之前,存在11个PCA错误(在整个2003日历年中被推断为26个)。 2004年,当采取大多数纠正措施时,报告了22个PCA错误。 2007年10月,实施了新的在线事件报告程序,从而使报告更加容易。从2007年10月到2008年9月,仅报告了8个PCA错误,比基线减少了69%。没有任何与这些PCA错误相关的严重不良事件。讨论:尽管自进行FMEA以来PCA错误有所减少,但药物浓度的编程错误仍然是PCA常见的错误。解决方案包括用于静脉输液泵的安全软件,用于检测浓度误差的集成条形码读取器以及该软件与其他医院信息系统的互操作性。吸取的教训是,FMEA可以导致解决超出最初意图范围的问题-在这种情况下,这是开发一种用于识别所有损坏设备的新系统。

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