Preventing dispensing errors through the utilization of lean six sigma and failure model and effect analysis: A prospective exploratory study in China

精益六西格玛 DMAIC公司 医学 药店 失效模式及影响分析 六西格玛 入射(几何) I类和II类错误 运营管理 急诊医学 精益制造 可靠性工程 统计 护理部 数学 工程类 几何学
作者
Xue Chen,Xinyu Li,Yü Liu,Gaoqiong Yao,Jiadan Yang,Juan Li,Feng Qiu
出处
期刊:Journal of Evaluation in Clinical Practice [Wiley]
卷期号:27 (5): 1134-1142 被引量:7
标识
DOI:10.1111/jep.13526
摘要

To utilize lean six sigma (LSS) and failure model and effect analysis (FMEA) to prevent dispensing errors in a Chinese teaching hospital.Medication errors (MEs) reported to the China Core Group of the international network for the rational use of drugs (INRUD) by pharmacists at the hospital were collected. Following LSS methodology, the data analysis was structured according to define, measure, analyse, improve, and control (DMAIC) phases, and typical LSS tools (Pareto diagrams, brainstorming sessions) were used to determine the risk factors leading to dispensing errors. FMEA was applied to generate the risk priority numbers (RPNs) of MEs events, and key medications targeted for error prevention strategies were identified through quantitative analysis of the impacts of failure. Finally, corrective measures to prevent MEs were implemented and monitored for efficacy.Before the implementation of this programme, a total of 603 cases of dispensing errors were reported from the Year 1 to Year 6, reaching an average rate of incidence of 0.33 cases per 10 000 medication orders delivered, and no difference was found between these years (P = .9424). There was also no difference as location, error type, contributing factors, cause classification were considered. We then determined the real cause behind dispensing errors, and a total of 67 medications were targeted for specific error prevention strategies. One year after intervention, progress had been achieved in the following aspects: the incidence rate of dispensing errors was significantly decreased compared with the previous years (0.19, P = .007). Simultaneously, the incidence rate of dispensing errors occurred in outpatient pharmacy (0.04, P = .0008), with junior pharmacists (0.15, P = .0258), with LASA medications (0.06, P = .0319), as well as with memory-based errors were significantly decreased (0.03, P = .0191).The combination of LSS and the FMEA tool can be an efficient approach for helping reduce MEs in pharmacy dispensing.
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