A pilot study to compare virtual reality to hybrid simulation for opioid-related overdose and naloxone training

Giordano, Nicholas A.; Whitney, Clare; Axson, Sydney A.; Cassidy, Kyle; Rosado, Elvis; Hoyt-Brennan, Ann Marie

doi:10.1016/j.nedt.2020.104365

Cited by 32 publications

(47 citation statements)

References 21 publications

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“…Based on eleven studies that examined the effectiveness of virtual simulation in improving knowledge, five studies showed no significant differences between virtual simulation and their respective control groups. This means that virtual reality simulation was found equally effective compared to the traditional instructional method 9,11 , use of case studies 10 , hybrid simulation 12 , and face-to-face teaching 13 . On the other hand, six studies showed significant differences between virtual simulation and their respective control groups.…”

Section: Discussionmentioning

confidence: 97%

“…Rossler, et al 11 also concluded that the use of virtual simulation has no statistically significant findings in knowledge for those using traditional programmatic teaching versus the addition of virtual reality simulation (VEST). Furthermore, Giordano, et al 12 found no difference in knowledge retention towards responding during an opioid-related overdose between students using virtual reality simulation to hybrid simulation. Cobbett, et al 13 also found no statistically significant difference in student knowledge between students taught face-to-face and those taught with virtual clinical simulations.…”

Section: Knowledgementioning

confidence: 99%

“…Twelve studies focused their inquiry on the effect of virtual simulation in the participants' affective domains of learning. The areas that were examined by these studies include satisfaction with learning experiences 15 , level of confidence 13,17 , affective knowledge 18 , technology use and satisfaction 27,28,29,15,10 , and perceived effectiveness 27,21,15,12,30 . All the studies included have overwhelming positive findings with regard to virtual simulation and affective outcome.…”

Section: Affectivementioning

confidence: 99%

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Virtual Simulation in Nursing Education: A Systematic Review

Tolarba¹

2021

IJONE

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Section: Discussionmentioning

confidence: 97%

Section: Knowledgementioning

confidence: 99%

Section: Affectivementioning

confidence: 99%

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Virtual Simulation in Nursing Education: A Systematic Review

Tolarba¹

2021

IJONE

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“…Second, the simulations developed usually involve either a single patient (Beaumont et al, 2014; Buttussi et al, 2013; Conradi et al, 2009; Cook et al, 2012; Creutzfeldt et al, 2010; Ferracani et al, 2015; Freeman et al, 2001; Giordano et al, 2020; Hemman, 2005; Schild et al, 2018) or mass casualty triage scenarios in which participants triage patients sequentially (Cicero et al, 2018; Cohen, Sevdalis, Taylor, et al, 2013; Cone et al, 2011; Farra et al, 2013; Greci et al, 2013; Ingrassia et al, 2015; Jain et al, 2016; Kizakevich et al, 2006; Knight et al, 2010; Mills et al, 2020). Scenarios rarely focus on situations where participants treat a few concurrent patients, which is not uncommon in practice (Kuisma et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

SPECTRa: An Online Tool for Simulating Prehospital Patient Care

Davidson

Waxenegger

Mohamed

et al. 2022

HERD

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Objectives: To (1) develop a simulation software environment to conduct prehospital research during the COVID-19 pandemic on paramedics’ teamwork and use of mobile computing devices, and (2) establish its feasibility for use as a research and training tool. Background: Simulation-based research and training for prehospital environments has typically used live simulation, with highly realistic equipment and technology-enhanced manikins. However, such simulations are expensive, difficult to replicate, and require facilitators and participants to be at the same location. Although virtual simulation tools exist for prehospital care, it is unclear how best to use them for research and training. Methods: We present SPECTRa—Simulated Prehospital Emergency Care for Team Research—an online simulated prehospital environment that lets participants care concurrently for single or multiple patients remotely. Patient scenarios are designed using Laerdal’s SimDesigner. SPECTRa records data about scenario states and participants’ virtual interaction with the simulated patients. SPECTRa’s supporting environment records participants’ verbal communication and their visual and physical interactions with their interface and devices using Zoom conferencing and audiovisual recording. We discuss a pilot research implementation to assess SPECTRa’s feasibility. Results: SPECTRa allows researchers to systematically test small-team interaction in single- or multipatient care scenarios and assess the impact of mobile devices on participants’ assessment and care of patients. SPECTRa also supports pedagogical features that could allow prehospital educators to provide individual trainees or teams with online simulation training and evaluation. Conclusions: SPECTRa, an online tool for simulating prehospital patient care, shows potential for remote healthcare research and training.

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“…The Opioid Overdose Knowledge Scale (OOKS) was the first validated instrument of which we are aware to be used in conjunction with OEND (18) although other instruments have become available more recently (19). Consisting of 45 items in its original version, the OOKS continues to be frequently cited in studies that evaluate THN/OEND trainings (20-22). The OOKS has been translated into several languages for use in European countries and a short, 10-item form (i.e., the Brief Opioid Overdose Knowledge Scale [BOOK]) has been developed as well as a version adapted for use to assess knowledge specific to prescription opioids (23-25).…”

Section: Introductionmentioning

confidence: 99%

A Measurement Invariance Analysis of Selected Opioid Overdose Knowledge Scale (OOKS) Items among Bystanders and First Responders

Swartz

Lin

Kim

2022

Preprint

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The Opioid Overdose Knowledge Scale (OOKS) is widely used as an adjunct to opioid education and naloxone distribution (OEND) for assessing pre- and post-training knowledge. However, the extent to which the OOKS performs comparably for bystander and first responder groups has not been well determined. We used exploratory structural equation modeling (ESEM) to assess the measurement invariance of an OOKS item subset when used as an OEND training pre-test. We used secondary analysis of pre-test data collected from 446 first responders and 1,349 bystanders (N=1,795) attending OEND trainings conducted by two county public health departments. Twenty-four items were selected by practitioner/trainer consensus from the original 45-item OOKS instrument with an additional 2 removed owing to low response variation. We used exploratory factor analysis (EFA) followed by ESEM to identify a factor structure, which we assessed for configural, metric, and scalar measurement invariance by participant group using the 22 dichotomous items (correct/incorrect) as factor indicators. EFA identified a 3-factor model consisting of items dealing with: basic overdose risk information, signs of an overdose, and rescue procedures/advanced overdose risk information. Model fit by ESEM estimation versus confirmatory factor analysis showed the ESEM model afforded a better fit. Measurement invariance analyses indicated the 3-factor model fit the data across all levels of invariance per standard fit statistic metrics. The reduced set of 22 OOKS items appears to offer comparable measurement of pre-training knowledge on opioid overdose risks, signs of an overdose, and rescue procedures for both bystanders and first responders.

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A pilot study to compare virtual reality to hybrid simulation for opioid-related overdose and naloxone training

Cited by 32 publications

References 21 publications

Virtual Simulation in Nursing Education: A Systematic Review

Virtual Simulation in Nursing Education: A Systematic Review

SPECTRa: An Online Tool for Simulating Prehospital Patient Care

A Measurement Invariance Analysis of Selected Opioid Overdose Knowledge Scale (OOKS) Items among Bystanders and First Responders

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