Decontamination training: with and without virtual reality simulation

Adv Emerg Nurs J. 2015 Apr-Jun;37(2):125-33. doi: 10.1097/TME.0000000000000059.

Abstract

Nurses must be prepared to care for patients following a disaster, including patients exposed to hazardous contaminants. The purpose of this study was to examine the use of virtual reality simulation (VRS) to teach the disaster-specific skill of decontamination. A quasi-experimental design was used to assign nursing students from 2 baccalaureate nursing programs to 1 of 2 groups to learn the disaster skill of decontamination-printed written directions or VRS. Performance, knowledge, and self-efficacy were outcome measures. Although students in the treatment group had significantly lower performance scores than the control group (p = 0.004), students taking part in VRS completed the skill in a significantly shorter amount of time (p = 0.008). No significant group differences were found for self-efficacy (p = 0.172) or knowledge (p = 0.631). However, students in the VRS treatment group reported high levels of satisfaction with VRS as a training method. The disaster-specific skill of decontamination is a low-volume, high-risk skill that must be performed with accuracy to protect both exposed patients and providers performing decontamination. As frontline providers for casualties following a disaster event, emergency nurses must be prepared to perform this skill when needed. Preparation requires cost-effective, timely, and evidence-based educational opportunities that promote positive outcomes. Further investigation is needed to determine the benefits and long-term effects of VRS for disaster education.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Competency-Based Education / methods*
  • Computer Simulation*
  • Computer-Assisted Instruction / methods*
  • Decontamination*
  • Disaster Planning
  • Emergency Nursing / education*
  • Female
  • Humans
  • Male
  • User-Computer Interface