Skip to main content
SpringerLink
Log in

Optimizing RRSs Through Simulation

  • Chapter
  • First Online:
Textbook of Rapid Response Systems

Abstract

In 2003, a recent report by the National Registry of Cardiopulmonary Resuscitation (NRCPR) of 207 hospitals within the USA revealed that the majority (86 %) has an organized team to respond to in-hospital cardiac arrests and, more recently, a survey of 1000 hospitals from the American Hospital Association show growth in this practice, with 91 % of respondent hospitals using an organized team to respond to hospital resuscitations [1, 2]. In addition to the existence of these teams, a significant trend in the use of simulation for team training has been reported. Training to enhance the quality of care delivered by crisis teams in hospitals is essential. Although the composition of these types of hospital teams varies from place to place, the principles of team training remain the same and are reviewed in this chapter.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Peberdy MA, Kaye W, Ornato JP, et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14, 720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation. 2003;58:297–308.

    Article  PubMed  Google Scholar 

  2. Pittman J, Turner B, Gabbott DA. Communication between members of the cardiac arrest team—a postal survey. Resuscitation. 2001;49:175–7.

    Article  CAS  PubMed  Google Scholar 

  3. Edelson DP, Yuen TC, Mancini ME, Davis DP, Hunt EA, Miller JA, Abella BS. Hospital cardiac arrest resuscitation practice in the United States: a nationally representative survey. J Hosp Med. 2014;9(6):353–7.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Mundell WC, Kennedy CC, Szostek JH, Cook DA. Simulation technology for resuscitation training: a systematic review and meta-analysis. Resuscitation. 2013;84(9):1174–83.

    Article  PubMed  Google Scholar 

  5. Merchant RM, Yang L, Becker LB, Berg RA, Nadkarni V, Nichol G, Carr BG, Mitra N, Bradley SM, Abella BS, Groeneveld PW. American Heart Association get with the guidelines-resuscitation investigators. Incidence of treated cardiac arrest in hospitalized patients in the United States. Crit Care Med. 2011;39(11):2401–6.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Sullivan MJ, Guyatt GH. Simulated cardiac arrests for monitoring quality of in-hospital resuscitation. Lancet. 1986;2:618–20.

    Article  CAS  PubMed  Google Scholar 

  7. Dongilli T, DeVita M, Schaefer J, Grbach W, Fiedor M. The use of simulation training in a large multi-hospital health system to increase patient safety. Presented at International Meeting for Medical Simulation. Albuquerque, NM; 2004.

    Google Scholar 

  8. Hunt EA, Walker AR, Shaffner DH, Miller MR, Pronovost PJ. Simulation of in-hospital pediatric medical emergencies and cardiopulmonary arrests: highlighting the importance of the first 5 minutes. Pediatrics. 2008;121:e34–43.

    Article  PubMed  Google Scholar 

  9. Prince CR, Hines EJ, Chyou PH, Heegeman DJ. Finding the key to a better code: code team restructure to improve performance and outcomes. Clin Med Res. 2014;12(1–2):47–57.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Frengley RW, Weller JM, Torrie J, Dzendrowskyj P, Yee B, Paul AM, Shulruf B, Henderson KM. The effect of a simulation-based training intervention on the performance of established critical care unit teams. Crit Care Med. 2011;39(12):2605–11.

    Article  PubMed  Google Scholar 

  11. Thomas EJ, Williams AL, Reichman EF, Lasky RE, Crandell S, Taggart WR. Team training in the neonatal resuscitation program for interns: teamwork and quality of resuscitations. Pediatrics. 2010;125(3):539–46.

    Article  PubMed  Google Scholar 

  12. Allan CK, Thiagarajan RR, Beke D, Imprescia A, Kappus LJ, Garden A, Hayes G, Laussen PC, Bacha E, Weinstock PH. Simulation-based training delivered directly to the pediatric cardiac intensive care unit engenders preparedness, comfort, and decreased anxiety among multidisciplinary resuscitation teams. J Thorac Cardiovasc Surg. 2010;140(3):646–52.

    Article  PubMed  Google Scholar 

  13. Wehbe-Janek H, Lenzmeier CR, Ogden PE, Lambden MP, Sanford P, Herrick J, Song J, Pliego JF, Colbert CY. Nurses’ perceptions of simulation-based interprofessional training program for rapid response and code blue events. J Nurs Care Qual. 2012;27(1):43–50.

    Article  PubMed  Google Scholar 

  14. Robertson B, Schumacher L, Gosman G, Kanfer R, Kelley M, DeVita M. Simulation-based crisis team training for multidisciplinary obstetric providers. Simul Healthc. 2009;4(2):77–83.

    Article  PubMed  Google Scholar 

  15. Kegler AL, Dale BD, McCarthy AJ. The use of high-fidelity simulation for rapid response team training: a community hospital’s story. J Nurses Staff Dev. 2012;28(2):50–2.

    Article  PubMed  Google Scholar 

  16. Wayne DB, Didwania A, Feinglass J, Fudala MJ, Barsuk JH, McGaghie WC. Simulation-based education improves quality of care during cardiac arrest team responses at an academic teaching hospital: a case-control study. Chest. 2008;133(1):56–61.

    Article  PubMed  Google Scholar 

  17. Andreatta P, Saxton E, Thompson M, Annich G. Simulation-based mock codes significantly correlate with improved pediatric patient cardiopulmonary arrest survival rates. Pediatr Crit Care Med. 2011;12(1):33–8.

    Article  PubMed  Google Scholar 

  18. Kinney KG, Boyd SY, Simpson DE. Guidelines for appropriate in-hospital emergency team time management: the Brooke Army Medical Center approach. Resuscitation. 2004;60:33–8.

    Article  PubMed  Google Scholar 

  19. Fiedor M, DeVita M. Human simulation and crisis team training. In: Dunn WF, editor. Simulators in critical care and beyond. Des Plaines, IL: Society of Critical Care Medicine; 2004. p. 91–5.

    Google Scholar 

  20. Cooper S, Wakelam A. Leadership of resuscitation teams: “Lighthouse Leadership.”. Resuscitation. 1999;42:27–45.

    Article  CAS  PubMed  Google Scholar 

  21. Marsch SCU, Muller C, Marquardt K, Conrad G, Tschan F, Hunziker PR. Human factors affect the quality of cardiopulmonary resuscitation in simulated cardiac arrests. Resuscitation. 2004;60:51–6.

    Article  PubMed  Google Scholar 

  22. Marteau TM, Wynne G, Kaye W, Evans TR. Resuscitation: experience without feedback increases confidence but not skill. BMJ. 1990;300:849–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Gaba DM, Howard SK, Flanagan B, Smith BE, Fish KJ, Botney R. Assessment of clinical performance during simulated crises using both technical and behavioral ratings. Anesthesiology. 1998;89:8–18.

    Article  CAS  PubMed  Google Scholar 

  24. Blum RH, Raemer DB, Carroll JS, Sunder N, Felstein DM, Cooper JB. Crisis resource management training for an anaesthesia faculty: a new approach to continuing education. Med Educ. 2004;38:45–55.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Critical Care Medicine, University of Pittsburgh Medical Center Director, Pediatric Simulation, Peter M. Winter Institute for Simulation, Education, and Research (WISER), Pittsburgh, PA, USA

    Melinda Fiedor Hamilton MD, MSc, FAHA

  2. Children’s Hospital of Pittsburgh Simulation Center, Pittsburgh, PA, USA

    Melinda Fiedor Hamilton MD, MSc, FAHA

  3. Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Sheikh Zayed Tower, Baltimore, MD, 21287, USA

    Elizabeth A. Hunt

  4. Department of Surgery, Critical Care, Harlem Hospital Cente, 506 Lenox Avenue, New York, NY, 10037, USA

    Michael A. DeVita MD, FCCM, FRCP

  5. Department of Internal Medicine, Critical Care, Harlem Hospital Center, 506 Lenox Avenue, New York, NY, 10037, USA

    Michael A. DeVita MD, FCCM, FRCP

Authors
  1. Melinda Fiedor Hamilton MD, MSc, FAHA
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Elizabeth A. Hunt
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michael A. DeVita MD, FCCM, FRCP
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Melinda Fiedor Hamilton MD, MSc, FAHA .

Editor information

Editors and Affiliations

  1. Department of Surgery, Critical Care, Harlem Hospital Center, New York, New York, USA

    Michael A. DeVita

  2. The Simpson Centre for Health Services Research, South Western Sydney Clinical School, UNSW Sydney, the Ingham Institute for Applied Medical Research and Intensive Care, Liverpool Hospital, Liverpool BC, New South Wales, Australia

    Ken Hillman

  3. Department of Intensive Care, Austin Hospital, Heidelberg, Victoria, Australia

    Rinaldo Bellomo

  4. Royal Berkshire NHS Foundation Trust, Reading, Berkshire, United Kingdom

    Mandy Odell

  5. Intensive Care Unit, Austin Hospital, Heidelberg, Victoria, Australia

    Daryl A. Jones

  6. Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

    Bradford D. Winters

  7. Department of Anesthesia, Stanford University School of Medicine, Palo Alto, California, USA

    Geoffrey K. Lighthall

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Hamilton, M.F., Hunt, E.A., DeVita, M.A. (2017). Optimizing RRSs Through Simulation. In: DeVita, M., et al. Textbook of Rapid Response Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-39391-9_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39391-9_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39389-6

  • Online ISBN: 978-3-319-39391-9

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics

Search

Navigation