Literature DB >> 35460504

Implementing a Rapid Response System in a tertiary-care hospital. A cost-effectiveness study.

G Muñoz-Rojas1, B García-Lorenzo2,3, D Esteve4, S Trias5, D Caellas6, M Sanz7, R Mellado1,8, T Peix5, L Sampietro-Colom2, N Pou5, G Martínez-Pallí1,8, Carlos Ferrando9,10.   

Abstract

PURPOSE: The occurrence of adverse events (AE) in hospitalized patients substancially increases the risk of disability or death, having a major negative clinical and economic impact on public health. For early identification of patients at risk and to establish preventive measures, different healthcare systems have implemented rapid response systems (RRS). The aim of this study was to carry out a cost-effectiveness analysis of implementing a RRS in a tertiary-care hospital.
METHODS: We included all the patients admitted to Hospital Clínic de Barcelona from 1 to 2016 to 31 December 2016. The cost-effectiveness analysis was summarized as the incremental cost-effectiveness ratio (incremental cost divided by the incremental effectiveness of the two alternatives, RRS versus non-RRS). The effectiveness of the RRS, defined as improvements in health outcomes (AE, cardiopulmonary arrest and mortality), was obtained from the literature and applied to the included patient cohort. A budget impact analysis on the implementation of the RRS from a hospital perspective was performed over a 5-year time horizon.
RESULTS: 42,409 patients were included, and 448 (1.05%) had severe AE requiring ICU admission. The cost-effectiveness analysis showed an incremental cost (savings) of EUR - 1,471,101 of RRS versus the non-RRS. The budgetary impact showed a cost reduction of EUR 896,762.00 in the first year and EUR 1,588,579.00 from the second to the fifth year.
CONCLUSIONS: The present analysis shows the RRS as a dominant, less costly and more effective structure compared to the non-RRS.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Adverse event; Cost effective; Early warning scores; Rapid response system

Mesh:

Year:  2022        PMID: 35460504     DOI: 10.1007/s10877-022-00859-5

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   1.977


  9 in total

1.  Outcomes Associated With the Nationwide Introduction of Rapid Response Systems in The Netherlands.

Authors:  Jeroen Ludikhuize; Anja H Brunsveld-Reinders; Marcel G W Dijkgraaf; Susanne M Smorenburg; Sophia E J A de Rooij; Rob Adams; Paul F de Maaijer; Bernard G Fikkers; Peter Tangkau; Evert de Jonge
Journal:  Crit Care Med       Date:  2015-12       Impact factor: 7.598

2.  Iatrogenic diseases as a reason for admission to the intensive care unit: incidence, causes, and consequences.

Authors:  B Darchy; E Le Mière; B Figuérédo; E Bavoux; Y Domart
Journal:  Arch Intern Med       Date:  1999-01-11

3.  Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration.

Authors:  Gabriel J Escobar; Vincent X Liu; Alejandro Schuler; Brian Lawson; John D Greene; Patricia Kipnis
Journal:  N Engl J Med       Date:  2020-11-12       Impact factor: 91.245

4.  From a direct oral anticoagulant to warfarin: reasons why patients switch.

Authors:  Aisling Barrett; Margaret Moore; Patricia Ferrins; Patrick Thornton; Philip Murphy; John Quinn
Journal:  Ir J Med Sci       Date:  2017-12-21       Impact factor: 1.568

5.  Impact of a standardized rapid response system on outcomes in a large healthcare jurisdiction.

Authors:  Jack Chen; Lixin Ou; Arthas Flabouris; Ken Hillman; Rinaldo Bellomo; Michael Parr
Journal:  Resuscitation       Date:  2016-08-06       Impact factor: 5.262

6.  Audit of intensive care unit admissions from the operating room.

Authors:  D Swann; P Houston; J Goldberg
Journal:  Can J Anaesth       Date:  1993-02       Impact factor: 5.063

7.  Impact of an intensivist-led multidisciplinary extended rapid response team on hospital-wide cardiopulmonary arrests and mortality.

Authors:  Saad Al-Qahtani; Hasan M Al-Dorzi; Hani M Tamim; Sajid Hussain; Lian Fong; Saadi Taher; Bandar Abdulmohsen Al-Knawy; Yaseen Arabi
Journal:  Crit Care Med       Date:  2013-02       Impact factor: 7.598

Review 8.  Rapid-response systems as a patient safety strategy: a systematic review.

Authors:  Bradford D Winters; Sallie J Weaver; Elizabeth R Pfoh; Ting Yang; Julius Cuong Pham; Sydney M Dy
Journal:  Ann Intern Med       Date:  2013-03-05       Impact factor: 25.391

9.  Economic implications of an evidence-based sepsis protocol: can we improve outcomes and lower costs?

Authors:  Andrew F Shorr; Scott T Micek; William L Jackson; Marin H Kollef
Journal:  Crit Care Med       Date:  2007-05       Impact factor: 7.598

  9 in total
  1 in total

1.  Costs, benefits and the prevention of patient deterioration.

Authors:  Craig S Webster; Yize I Wan
Journal:  J Clin Monit Comput       Date:  2022-05-26       Impact factor: 1.977

  1 in total

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