Extended SAFPH℞ (Systems Analysis for Formal Pharmaceutical Human Reliability): Two approaches based on extended CREAM and a comparative analysis
Extended SAFPH℞ (Systems Analysis for Formal Pharmaceutical Human Reliability): Two approaches based on extended CREAM and a comparative analysis
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Extended SAFPH™（正式制药人体可靠性系统分析）：基于扩展 CREAM 和比较分析的两种方法
DOI：
10.1016/j.ssci.2020.104944
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发表时间：
2020
期刊：
影响因子：
6.1
通讯作者：
Daly, Christopher
中科院分区：
文献类型：
--
作者：
Zheng, Xi;Bolton, Matthew L.;Daly, Christopher
社区药房的用药错误可能会造成严重伤害。为了使药房能够准确预测错误率，了解错误发生的原因并减轻问题，我们开发了一种新的人因可靠性分析（HRA），称为正式制药人因可靠性系统分析（SAFPH）。通过结合基于认知可靠性和错误分析方法（CREAM）的HRA和概率模型检查（一种用于证明随机系统属性的自动方法），SAFPH能够解决以前HRA的局限性。SAFPH的前一个“基本”版本是基于CREAM的“基本”版本。有了这个，我们预测了一个典型的美国社区药房配药程序的药物错误率的现实范围。然而，基本的SAFPH估计数不能提供点估计，除非通过平均。在这项研究中，我们试图解决这个限制，使SAFPH EQUIPMENT与扩展CREAM的两个变体兼容，使SAFPH EQUIPMENT能够对药房配药错误率进行点预测。然后，为了确定哪个版本的SAFPH模型产生最准确的预测，我们将每种方法的结果与社区药房文献中发表的总比率进行比较。在这一点上，基本SAFPH的范围内的算术平均值始终是最准确的整体错误率和错误率起源于不同阶段的配药程序。我们利用这一发现，从基本的SAFPH计划中获得建议，以提高社区药房的可靠性，同时提高患者的健康和安全。
Medication errors originating in community pharmacies can cause severe harm. To provide pharmacies with the ability to accurately predict error rates, understand why errors are occurring, and mitigate problems, we developed a new human reliability analysis (HRA) called the Systems Analysis for Formal Pharmaceutical Human Reliability (SAFPH℞). Through the combination of HRA that is based on the Cognitive Reliability and Error Analysis Method (CREAM) and probabilistic model checking (an automated method for proving properties about stochastic systems), SAFPH℞ is able to address the limitations of previous HRAs. The previous, “basic” version of SAFPH℞ was based on the “basic” version of CREAM. With this, we predicted a realistic range of medication error rates for a typical US community pharmacy dispensing procedure. However, basic SAFPH℞ was not capable of providing point estimates except through averaging. In this research, we attempted to address this limitation by making SAFPH℞ compatible with the two variations of extended CREAM, enabling SAFPH℞ to make point predictions about pharmacy dispensing error rates. Then, to determine which of the versions of SAFPH℞ produce the most accurate predictions, we compare results from each approach to aggregate rates published in the community pharmacy literature. In this, arithmetic averages across basic SAFPH℞’s range were consistently the most accurate for the overall error rate and rates of errors originating at different stages of the dispensing procedure. We use this finding to derive recommendations from basic SAFPH℞ for improving the reliability of community pharmacy dispensing with the ambition of improving patient health and safety.
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DOI：
--
发表时间：
2014
期刊：
--
影响因子：
--
作者：
P. Allison
通讯作者：
P. Allison
错误模式预测。
影响因子：
2.4
作者：
E. Hollnagel;M. Kaarstad;H. C. Lee
通讯作者：
H. C. Lee
DOI：
10.1177/1541931213601667
发表时间：
2017
期刊：
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
影响因子：
--
作者：
Xi Zheng;M. Bolton;Christopher Daly;Lu Feng
通讯作者：
Lu Feng
影响因子：
2.2
作者：
D. Witte;L. Dundes
通讯作者：
L. Dundes
儿科实践中的用药错误：来自持续质量改进方法的见解
影响因子：
3.6
作者：
D. Wilson;R. McArtney;R. Newcombe;R. McArtney;J. Gracie;C. Kirk;A. Stuart
通讯作者：
A. Stuart