Literature DB >> 15241106

Rationing critical care beds: a systematic review.

Tasnim Sinuff, Kamayar Kahnamoui, Deborah J Cook, John M Luce, Mitchell M Levy.   

Abstract

OBJECTIVE: Rationing critical care beds occurs daily in the hospital setting. The objective of this systematic review was to examine the impact of rationing intensive care unit beds on the process and outcomes of care. DATA SOURCE: We searched MEDLINE (1966-2003), CINAHL (1982-2003), Ovid Healthstar (1975-2003), EMBASE (1980-2003), Scisearch (1980-2003), the Cochrane Library, PUBMED related articles, personal files, abstract proceedings, and reference lists. STUDY SELECTION: We included studies of seriously ill patients considered for admission to an intensive care unit bed during periods of reduced availability. We had no restriction on study design. Studies were excluded if rationing was performed using a scoring system or protocol and if cost-effectiveness was the only outcome. DATA EXTRACTION: In duplicate and independently, we performed data abstraction and quality assessment. DATA SYNTHESIS: We included ten observational studies. Hospital mortality rate was increased in patients refused intensive care unit admission vs. those admitted (odds ratio, 3.04; 95% confidence interval, 1.49-6.17). Factors associated with both intensive care unit bed refusal and increased mortality rate were increased age, severity of illness, and medical diagnosis. When intensive care unit beds were reduced, admitted patients were sicker, were less often admitted primarily for monitoring, and had a shorter intensive care unit length of stay, without other observed adverse effects.
CONCLUSIONS: These studies suggest that patients who are perceived not to benefit from critical care are more often refused intensive care unit admission; refusal is associated with an increased risk of hospital death. During times of decreased critical bed availability, several factors, including age, illness severity, and medical diagnosis, are used to triage patients, although their relative importance is uncertain. Critical care bed rationing requires further investigation.

Entities:  

Keywords:  Empirical Approach; Health Care and Public Health

Mesh:

Year:  2004        PMID: 15241106     DOI: 10.1097/01.ccm.0000130175.38521.9f

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  80 in total

1.  [Intensive care capacities in Germany: provision and usage between 1991 and 2009].

Authors:  R Thattil; D Klepzig; M Schuster
Journal:  Anaesthesist       Date:  2012-01       Impact factor: 1.041

Review 2.  The ethics and reality of rationing in medicine.

Authors:  Leslie P Scheunemann; Douglas B White
Journal:  Chest       Date:  2011-12       Impact factor: 9.410

3.  Development of a triage protocol for critical care during an influenza pandemic.

Authors:  Michael D Christian; Laura Hawryluck; Randy S Wax; Tim Cook; Neil M Lazar; Margaret S Herridge; Matthew P Muller; Douglas R Gowans; Wendy Fortier; Frederick M Burkle
Journal:  CMAJ       Date:  2006-11-21       Impact factor: 8.262

4.  Mortality and denial of admission to an intensive care unit.

Authors:  William Checkley
Journal:  Am J Respir Crit Care Med       Date:  2012-05-15       Impact factor: 21.405

5.  [Ethics and monetary values. Influence of economical aspects on decision-making in intensive care].

Authors:  J Boldt; T Schöllhorn
Journal:  Anaesthesist       Date:  2008-11       Impact factor: 1.041

6.  Development, implementation, and impact of an automated early warning and response system for sepsis.

Authors:  Craig A Umscheid; Joel Betesh; Christine VanZandbergen; Asaf Hanish; Gordon Tait; Mark E Mikkelsen; Benjamin French; Barry D Fuchs
Journal:  J Hosp Med       Date:  2014-09-26       Impact factor: 2.960

7.  Optimal control of ICU patient discharge: from theory to implementation.

Authors:  Fermín Mallor; Cristina Azcárate; Julio Barado
Journal:  Health Care Manag Sci       Date:  2015-03-13

8.  Why do nonsurvivors from community-acquired pneumonia not receive ventilatory support?

Authors:  Torsten T Bauer; Tobias Welte; Richard Strauss; Helge Bischoff; Klaus Richter; Santiago Ewig
Journal:  Lung       Date:  2013-05-05       Impact factor: 2.584

9.  Preoperative prognostic factors for severe diffuse secondary peritonitis: a retrospective study.

Authors:  Matti Tolonen; Ville Sallinen; Panu Mentula; Ari Leppäniemi
Journal:  Langenbecks Arch Surg       Date:  2016-05-30       Impact factor: 3.445

10.  Hospital Contributions to Variability in the Use of ICUs Among Elderly Medicare Recipients.

Authors:  Andrew J Admon; Hannah Wunsch; Theodore J Iwashyna; Colin R Cooke
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

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