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Low-Fidelity Simulation Versus Live Human Arms for Intravenous Cannulation Training: A Qualitative Assessment

  • Gary L. BoykinSr.Email author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 482)

Abstract

In the military, as well as in civilian medical settings, the question of whether to use simulation versus live tissue remains in debate. The purpose of this paper is to examine qualitative data provided by students (n = 260) attending the Army’s Licensed Practical Nurse (LPN) program who completed peripheral intravenous cannulation (PIVC) training using either a Simulated Human Arm (SHA) (n = 135) or a Live Human Arm (LHA) (n = 124). Students provided subjective responses in a written format pertaining to their PIVC training method. Data patterns were assessed using Spradley’s semantic relationship approach. Results reveal that both those using a SHA and a LHA reported feeling confident following training, however the reasons for their confidence differed. Those using a SHA felt confident due to the opportunity to repeatedly practice on a simulated arm, while those learning on a LHA felt assured knowing they had performed PIVC successfully on a live human during LPN training.

Keywords

Simulation Intravenous infusion Nursing Training 

Notes

Acknowledgments

Thanks to the students of the Army’s LPN Program (68WM6) for their outstanding support, and a special thanks to Mr. Robert S. Jones (PI) at the Fort Sam Houston Department of Nursing Science, Dr. Valerie J Rice, Team Lead, ARL-HRED-ATSD, AMEDD Field Element, and Dr. Leah Enders, DCS Corp.

Disclaimer

The views expressed in this article are those of the author and do not reflect the official policy or position of the Department of the Army, Department of Defense, U.S. Army Research Laboratory, Department of Nursing Science, or the U.S. Government.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.U.S. Army Research LaboratorySan AntonioUSA

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