Literature DB >> 20149516

"Identifying the hospitalised patient in crisis"--a consensus conference on the afferent limb of rapid response systems.

Michael A DeVita1, Gary B Smith, Sheila K Adam, Inga Adams-Pizarro, Michael Buist, Rinaldo Bellomo, Robert Bonello, Erga Cerchiari, Barbara Farlow, Donna Goldsmith, Helen Haskell, Kenneth Hillman, Michael Howell, Marilyn Hravnak, Elizabeth A Hunt, Andreas Hvarfner, John Kellett, Geoffrey K Lighthall, Anne Lippert, Freddy K Lippert, Razeen Mahroof, Jennifer S Myers, Mark Rosen, Stuart Reynolds, Armando Rotondi, Francesca Rubulotta, Bradford Winters.   

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. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20149516     DOI: 10.1016/j.resuscitation.2009.12.008

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  68 in total

1.  Predicting cardiac arrest on the wards: a nested case-control study.

Authors:  Matthew M Churpek; Trevor C Yuen; Michael T Huber; Seo Young Park; Jesse B Hall; Dana P Edelson
Journal:  Chest       Date:  2011-11-03       Impact factor: 9.410

2.  Monitoring the respiratory rate by miniature motion sensors in premature infants: a comparative study.

Authors:  S Kohn; D Waisman; J Pesin; A Faingersh; I C Klotzman; C Levy; G Hirshberg; A Rotschild; A Landesberg
Journal:  J Perinatol       Date:  2015-11-19       Impact factor: 2.521

3.  Sustaining Health Care Interventions to Achieve Quality Care: What We Can Learn From Rapid Response Teams.

Authors:  Deonni P Stolldorf
Journal:  J Nurs Care Qual       Date:  2017 Jan/Mar       Impact factor: 1.597

4.  Analysis of Smartphone Interruptions on Academic General Internal Medicine Wards. Frequent Interruptions may cause a 'Crisis Mode' Work Climate.

Authors:  Alon Vaisman; Robert C Wu
Journal:  Appl Clin Inform       Date:  2017-01-04       Impact factor: 2.342

5.  Design and Implementation of a Pediatric ICU Acuity Scoring Tool as Clinical Decision Support.

Authors:  Eric Shelov; Naveen Muthu; Heather Wolfe; Danielle Traynor; Nancy Craig; Christopher Bonafide; Vinay Nadkarni; Daniela Davis; Maya Dewan
Journal:  Appl Clin Inform       Date:  2018-08-01       Impact factor: 2.342

6.  Temporal distribution of instability events in continuously monitored step-down unit patients: implications for Rapid Response Systems.

Authors:  Marilyn Hravnak; Lujie Chen; Artur Dubrawski; Eliezer Bose; Michael R Pinsky
Journal:  Resuscitation       Date:  2015-01-28       Impact factor: 5.262

7.  [In-hospital emergencies at a surgical university hospital].

Authors:  L Reinhardt; M Bernhard; C Hainer; S Hofer; J Weitz; T Bruckner; M Weigand; E Martin; E Popp
Journal:  Chirurg       Date:  2012-02       Impact factor: 0.955

Review 8.  Monitoring cardiorespiratory instability: Current approaches and implications for nursing practice.

Authors:  Eliezer Bose; Leslie Hoffman; Marilyn Hravnak
Journal:  Intensive Crit Care Nurs       Date:  2016-02-28       Impact factor: 3.072

9.  Developing and evaluating a machine learning based algorithm to predict the need of pediatric intensive care unit transfer for newly hospitalized children.

Authors:  Haijun Zhai; Patrick Brady; Qi Li; Todd Lingren; Yizhao Ni; Derek S Wheeler; Imre Solti
Journal:  Resuscitation       Date:  2014-05-09       Impact factor: 5.262

10.  Heart rates in hospitalized children by age and body temperature.

Authors:  Carrie Daymont; Christopher P Bonafide; Patrick W Brady
Journal:  Pediatrics       Date:  2015-05       Impact factor: 7.124

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