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Use of a Novel, Portable, LED-Based Capillary Refill Time Simulator within a Disaster Triage Context

Published online by Cambridge University Press:  27 March 2017

Todd P. Chang*
Affiliation:
Division of Emergency Medicine and Transport, Children’s Hospital Los Angeles; Keck School of Medicine, University of Southern California, Los Angeles, CaliforniaUSA
Genevieve Santillanes
Affiliation:
Department of Emergency Medicine, Los Angeles County + University of Southern California Hospital; Keck School of Medicine, University of Southern California, Los Angeles, CaliforniaUSA
Ilene Claudius
Affiliation:
Department of Emergency Medicine, Los Angeles County + University of Southern California Hospital; Keck School of Medicine, University of Southern California, Los Angeles, CaliforniaUSA
Phung K. Pham
Affiliation:
Division of Emergency Medicine and Transport, Children’s Hospital Los Angeles; Keck School of Medicine, University of Southern California, Los Angeles, CaliforniaUSA Division of Behavioral & Organizational Sciences, Claremont Graduate University, Claremont, CaliforniaUSA
James Koved
Affiliation:
Department of Psychiatry and Behavioral Sciences, University of Washington Medical Center, Seattle, WashingtonUSA
John Cheyne
Affiliation:
Crash Lab Support; Howell, MichiganUSA
Marianne Gausche-Hill
Affiliation:
Department of Emergency Medicine, Harbor-UCLA Medical Center; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaliforniaUSA
Amy H. Kaji
Affiliation:
Department of Emergency Medicine, Harbor-UCLA Medical Center; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaliforniaUSA
Saranya Srinivasan
Affiliation:
Division of Emergency Medicine, Texas Children’s Hospital; Baylor College of Medicine, Houston, TexasUSA
J. Joelle Donofrio
Affiliation:
Division of Emergency Medicine, Rady Children’s Hospital of San Diego; UCSD School of Medicine, San Diego, CaliforniaUSA
Cynthia Bir
Affiliation:
Department of Emergency Medicine, Los Angeles County + University of Southern California Hospital; Keck School of Medicine, University of Southern California, Los Angeles, CaliforniaUSA
*
Correspondence: Todd P. Chang, MD, MAcM Children’s Hospital Los Angeles Division of Emergency Medicine 4650 Sunset Blvd. Mailstop 113 Los Angeles, California 90027 USA E-mail: [email protected]

Abstract

Introduction

A simple, portable capillary refill time (CRT) simulator is not commercially available. This device would be useful in mass-casualty simulations with multiple volunteers or mannequins depicting a variety of clinical findings and CRTs. The objective of this study was to develop and evaluate a prototype CRT simulator in a disaster simulation context.

Methods

A CRT prototype simulator was developed by embedding a pressure-sensitive piezo crystal, and a single red light-emitting diode (LED) light was embedded, within a flesh-toned resin. The LED light was programmed to turn white proportionate to the pressure applied, and gradually to return to red on release. The time to color return was adjustable with an external dial. The prototype was tested for feasibility among two cohorts: emergency medicine physicians in a tabletop exercise and second year medical students within an actual disaster triage drill. The realism of the simulator was compared to video-based CRT, and participants used a Visual Analog Scale (VAS) ranging from “completely artificial” to “as if on a real patient.” The VAS evaluated both the visual realism and the functional (eg, tactile) realism. Accuracy of CRT was evaluated only by the physician cohort. Data were analyzed using parametric and non-parametric statistics, and mean Cohen’s Kappas were used to describe inter-rater reliability.

Results

The CRT simulator was generally well received by the participants. The simulator was perceived to have slightly higher functional realism (P=.06, P=.01) but lower visual realism (P=.002, P=.11) than the video-based CRT. Emergency medicine physicians had higher accuracy on portrayed CRT on the simulator than the videos (92.6% versus 71.1%; P<.001). Inter-rater reliability was higher for the simulator (0.78 versus 0.27; P<.001).

Conclusions

A simple, LED-based CRT simulator was well received in both settings. Prior to widespread use for disaster triage training, validation on participants’ ability to accurately triage disaster victims using CRT simulators and video-based CRT simulations should be performed.

ChangTP, SantillanesG, Claudius I, PhamPK, KovedJ, CheyneJ, Gausche-HillM, KajiAH, SrinivasanS, DonofrioJJ, BirC. Use of a Novel, Portable, LED-Based Capillary Refill Time Simulator within a Disaster Triage Context. Prehosp Disaster Med. 2017;32(4):451–456.

Type
Special Reports
Copyright
© World Association for Disaster and Emergency Medicine 2017 

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Footnotes

Conflicts of interest/funding: Research reported in this publication was partially supported by the National Center for Advancing Translational Sciences of the National Institutes of Health (Bethesda, Maryland USA) under Award Number UL1TR000130 (formerly by the National Center for Research Resources, Award Number UL1RR031986). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was presented at the International Meeting on Simulation in Healthcare, 2015 (New Orleans, Louisiana USA).

References

1. Steiner, MJ, DeWalt, DA, Byerley, JS. Is this child dehydrated? JAMA. 2004;291(22):2746-2754.CrossRefGoogle ScholarPubMed
2. Fleming, S, Gill, P, Jones, C, et al. Validity and reliability of measurement of capillary refill time in children: a systematic review. Arch Dis Child. 2015;100(3):239-249.Google Scholar
3. Cross, KP, Cicero, MX. Head-to-head comparison of disaster triage methods in pediatric, adult, and geriatric patients. Ann Emerg Med. 2013;61(6):668-676.Google Scholar
4. Cone, DC, Serra, J, Kurland, L. Comparison of the SALT and Smart triage systems using a virtual reality simulator with paramedic students. Eur J Emerg Med. 2011;18(6):314-321.Google Scholar
5. Wallis, LA, Carley, S. Validation of the Pediatric Triage Tape. Emerg Med J. 2006;23(1):47-50.CrossRefGoogle ScholarPubMed
6. Dieckmann, RA, Brownstein, D, Gausche-Hill, M. The pediatric assessment triangle: a novel approach for the rapid evaluation of children. Pediatr Emerg Care. 2010;26(4):312-315.Google Scholar
7. Chan, TC, Griswold, WG, Buono, C, et al. Impact of wireless electronic medical record system on the quality of patient documentation by emergency field responders during a disaster mass-casualty exercise. Prehosp Disaster Med. 2011;26(4):268-275.CrossRefGoogle ScholarPubMed
8. Klima, DA, Seiler, SH, Peterson, JB, et al. Full-scale regional exercises: closing the gaps in disaster preparedness. J Trauma Acute Care Surg. 2012;73(3):592-597.Google Scholar
9. Alexander, AJ, Bandiera, GW, Mazurik, L. A multiphase disaster training exercise for emergency medicine residents: opportunity knocks. Acad Emerg Med. 2005;12(5):404-409.CrossRefGoogle ScholarPubMed
10. Brabrand, M, Hosbond, S, Folkestad, L. Capillary refill time: a study of inter-observer reliability among nurses and nurse assistants. Eur J Emerg Med. 2011;18(1):46-49.Google Scholar
11. Curtis, MT, DiazGranados, D, Feldman, M. Judicious use of simulation technology in continuing medical education. J Contin Educ Health Prof. 2012;32(4):255-260.Google Scholar
12. Claudius, I, Kaji, A, Santillanes, G, et al. Comparison of computerized patients versus live moulaged actors for a mass-casualty drill. Prehosp Disaster Med. 2015;30(5):1-5.CrossRefGoogle ScholarPubMed
13. Devitt, J, Kurrek, MM, Cohen, MM, Cleave-Hogg, D. The validity of performance assessments using simulation. Anesthesiology. 2001;95(1):36-42.Google Scholar
14. Hung, A, Zehnder, P, Patil, MB, et al. Face, content, and construct validity of a novel robotic surgery simulator. J Urol. 2011;186(3):1019-1025.Google Scholar
15. Dieckmann, P, Gaba, D, Rall, M. Deepening the theoretical foundations of patient simulation as social practice. Simul Healthc. 2007;2(3):183-193.Google Scholar
16. Faul, F, Erdfelder, E, Lang, AG, Buchner, A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-191.Google Scholar
17. Hallgren, KA. Computing inter-rater reliability for observational data: an overview and tutorial. Tutor Quant Methods Psychol. 2012;8(1):23-34.Google Scholar
18. Light, R. Measures of response agreement for qualitative data: some generalizations and alternatives. Psych Bulletin. 1971;76(5):365-377.Google Scholar
19. Diaz-Uriarte, R. Incorrect analysis of crossover trials in animal behaviour research. Animal Behaviour. 2002;63(4):815-822.Google Scholar
20. Norman, G, Dore, K, Grierson, L. The minimal relationship between simulation fidelity and transfer of learning. Med Educ. 2012;46(7):636-647.CrossRefGoogle ScholarPubMed
21. Anderson, B, Kelly, A, Kerr, D, Clooney, M, Jolley, D. Impact of patient and environmental factors on capillary refill time. Am J Emerg Med. 2008;26(1):62-65.Google Scholar
22. Brown, L, Prasad, NH, Whitley, TW. Adverse lighting condition effects on the assessment of CRT. Am J Emerg Med. 1994;12(1):46-47.CrossRefGoogle Scholar
23. Gorelick, M, Shaw, KN, Baker, MD. Effect of ambient temperature on CRT in healthy children. Pediatrics. 1993;92(5):699-702.Google Scholar
24. Dror, I, Schmidt, P, O’Connor, L. A cognitive perspective on technology enhanced learning in medical training: great opportunities, pitfalls and challenges. Med Teach. 2011;33(4):291-296.Google Scholar

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