Impact of Physical Parameters on Dosing Errors due to a Syringe Exchange in Multi-Infusion Therapy

Author:

Snijder Roland A.,Konings Maurits K.,van den Hoogen Agnes,Timmerman Annemoon M.D.E.

Abstract

AbstractIntroductionInfusion therapy is challenging and dosing errors may occur due to physical phenomena related to the infusion hardware, despite the use of accurate syringe pumps. These errors typically occur after interventions, such as the exchange of a syringe. We aimed to characterize and quantify dosing errors due to a syringe exchange in relation to physical properties of infusion hardware.MethodsAn analytical simulation model was used to investigate dosing errors due to two different syringe exchange protocols (variations). Each protocol involved a fast syringe pump, containing a non-critical medication, and a slow syringe pump, containing a critical drug. The protocols were also reproduced inResultsThe syringe exchange of the slow pump resulted in an additional delay of up to 3536 seconds due to backflow. Syringe exchange of the fast pump resulted in an undiluted volume of critical drug (0.17 ml) accumulated in the infusion system, which may result in a dosing error rate of 2400 %. The quantity of the dosing errors are related to the syringe exchange duration; however, impact of infusion hardware properties is generally larger. Smaller syringes, catheters with larger diameters and less compliant infusion systems in general give rise to smaller dosing errors during a syringe exchange. If both lines are clamped, additional dosing errors can be prevented.ConclusionInfusion hardware has a substantial impact on the dosing errors during a syringe exchange. Clamping or blocking the infusion lines using, e. g. stopcocks, on all infusion lines during a syringe exchange is essential.

Publisher

Walter de Gruyter GmbH

Subject

Pharmacology (medical),Pharmacology,Pharmacy

Reference64 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning approach to predict delay in smart infusion pump;Salud Ciencia y Tecnología;2022-12-31

2. Unexpected dosing errors due to air bubbles in infusion lines with and without air filters;Biomedical Engineering / Biomedizinische Technik;2022-12-19

3. Machine Learning Methods to Investigate Drug Delivery in Infusion Pump;International Journal of Biology and Biomedical Engineering;2022-01-03

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