Resuscitation
Volume 81, Issue 4 , Pages 375-382, April 2010

“Identifying the hospitalised patient in crisis”—A consensus conference on the afferent limb of Rapid Response Systems☆☆

  • Michael A. DeVita

      Affiliations

    • West Penn Allegheny Health System, Pittsburgh, PA, USA
  • ,
  • Gary B. Smith

      Affiliations

    • Queen Alexandra Hospital, Portsmouth, UK
    • University of Bournemouth, Bournemouth, UK
    • Corresponding Author InformationCorresponding author at: Department of Critical Care, Portsmouth Hospitals NHS Trust, Queen Alexandra Hospital, Cosham, Portsmouth PO6 3LY, UK. Tel.: +44 2392 286306; fax: +44 2392 286326.
  • ,
  • Sheila K. Adam

      Affiliations

    • University College London Hospitals NHS Foundation Trust, London, UK
  • ,
  • Inga Adams-Pizarro

      Affiliations

    • Maryland Patient Safety Center, Elkridge, MD, USA
  • ,
  • Michael Buist

      Affiliations

    • University of Tasmania Rural Clinical School, Tasmania, Australia
  • ,
  • Rinaldo Bellomo

      Affiliations

    • Austin Hospital, Heidelberg, Victoria, Australia
  • ,
  • Robert Bonello

      Affiliations

    • University of Minnesota & Minneapolis VA Medical Center, Minneapolis, MN, USA
  • ,
  • Erga Cerchiari

      Affiliations

    • Maggiore Hospital, Bologna, Italy
  • ,
  • Barbara Farlow

      Affiliations

    • Patients for Patient Safety Canada, Mississauga, Ontario, Canada
  • ,
  • Donna Goldsmith

      Affiliations

    • Austin Health, Heidelberg, Victoria, Australia
  • ,
  • Helen Haskell

      Affiliations

    • Mothers Against Medical Error, Columbia, SC, USA
  • ,
  • Kenneth Hillman

      Affiliations

    • University of New South Wales & The Simpson Centre for Health Services Research, Liverpool, New South Wales, Australia
  • ,
  • Michael Howell

      Affiliations

    • Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA
  • ,
  • Marilyn Hravnak

      Affiliations

    • University of Pittsburgh, Pittsburgh, PA, USA
  • ,
  • Elizabeth A. Hunt

      Affiliations

    • The Johns Hopkins University School of Medicine, Baltimore, MD, USA
  • ,
  • Andreas Hvarfner

      Affiliations

    • University Hospital, Lund, Sweden
  • ,
  • John Kellett

      Affiliations

    • Nenagh Hospital, Nenagh, County Tipperary, Ireland
  • ,
  • Geoffrey K. Lighthall

      Affiliations

    • Stanford University School of Medicine, Stanford, CA, USA
  • ,
  • Anne Lippert

      Affiliations

    • Danish Institute for Medical Simulation, Herlev Hospital, Herlev, Denmark
  • ,
  • Freddy K. Lippert

      Affiliations

    • Emergency Medicine and Emergency Medical Services, Head Office, The Capital Region of Denmark, Denmark
  • ,
  • Razeen Mahroof

      Affiliations

    • John Radcliffe Hospital, Oxford, UK
  • ,
  • Jennifer S. Myers

      Affiliations

    • University of Pennsylvania, Philadelphia, PA, USA
  • ,
  • Mark Rosen

      Affiliations

    • North Shore University Hospital and Long Island Jewish Medical Center, New York, NY, USA
  • ,
  • Stuart Reynolds

      Affiliations

    • University of Toronto, Toronto, Ontario, Canada
  • ,
  • Armando Rotondi

      Affiliations

    • University of Pittsburgh School of Medicine & Department of Veterans Affairs, Pittsburgh, PA, USA
  • ,
  • Francesca Rubulotta

      Affiliations

    • Department of Anaethesia, Imperial College, St Mary's Hospital, London, UK
  • ,
  • Bradford Winters

      Affiliations

    • The Johns Hopkins University School of Medicine, Baltimore, MD, USA

Received 2 November 2009; received in revised form 2 December 2009; accepted 12 December 2009. published online 11 February 2010.

Abstract 

Background

Most reports of Rapid Response Systems (RRS) focus on the efferent, response component of the system, although evidence suggests that improved vital sign monitoring and recognition of a clinical crisis may have outcome benefits. There is no consensus regarding how best to detect patient deterioration or a clear description of what constitutes patient monitoring.

Methods

A consensus conference of international experts in safety, RRS, healthcare technology, education, and risk prediction was convened to review current knowledge and opinion on clinical monitoring. Using established consensus procedures, four topic areas were addressed: (1) To what extent do physiologic abnormalities predict risk for patient deterioration? (2) Do workload changes and their potential stresses on the healthcare environment increase patient risk in a predictable manner? (3) What are the characteristics of an “ideal” monitoring system, and to what extent does currently available technology meet this need? and (4) How can monitoring be categorized to facilitate comparing systems?

Results and conclusions

The major findings include: (1) vital sign aberrations predict risk, (2) monitoring patients more effectively may improve outcome, although some risk is random, (3) the workload implications of monitoring on the clinical workforce have not been explored, but are amenable to study and should be investigated, (4) the characteristics of an ideal monitoring system are identifiable, and it is possible to categorize monitoring modalities. It may also be possible to describe monitoring levels, and a system is proposed.

Keywords: Rapid response system, Monitoring, Vital signs, Medical emergency team, Rapid response team, Critical care outreach, Cardiac arrest, Resuscitation, Patient safety, Risk

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 A Spanish translated version of the abstract of this article appears as Appendix in the final online version at doi:10.1016/j.resuscitation.2009.12.008.

☆☆ This work was support by grants from: Agency for Healthcare Research and Quality, Department of Veterans Affairs, UPMC Center for Quality and Innovation, American College of Chest Physicians, and the American Association of Critical Care Nurses.

PII: S0300-9572(09)00639-X

doi:10.1016/j.resuscitation.2009.12.008

Resuscitation
Volume 81, Issue 4 , Pages 375-382, April 2010