Literature DB >> 11571428

Variation in intensive care unit outcomes: a search for the evidence on organizational factors.

S Carmel1, K Rowan.   

Abstract

This study was undertaken to determine the extent of empirical evidence on the role of organizational factors in the critical care literature and to categorize these factors. Studies evaluating organizational factors were identified through electronic and hand searching of the critical care literature. Sixty-three publications relating to 54 different studies were identified. The studies were grouped into eight main categories: staffing, teamwork, volume and pressure of work, protocols, admission to intensive care, technology, structure, and error. Studies evaluating organizational factors exist in the critical care literature, and there is evidence that the number is increasing each year. Results indicate that organizational factors may have an impact on mortality after case mix adjustment. Some areas have been investigated more thoroughly than others and are ripe for systematic review. Variation in case mix adjusted hospital mortality after intensive care is an old theme. This study has shown that emerging data will help us understand mortality differences and deliver better outcomes for patients.

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Year:  2001        PMID: 11571428     DOI: 10.1097/00075198-200108000-00013

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  12 in total

1.  The effect of multidisciplinary care teams on intensive care unit mortality.

Authors:  Michelle M Kim; Amber E Barnato; Derek C Angus; Lee A Fleisher; Lee F Fleisher; Jeremy M Kahn
Journal:  Arch Intern Med       Date:  2010-02-22

2.  Admission time and mortality rates.

Authors:  Ali Ertug Arslankoylu; Benan Bayrakci; Yesim Oymak
Journal:  Indian J Pediatr       Date:  2008-08-21       Impact factor: 1.967

3.  The evolving role of dedicated weaning facilities in critical care.

Authors:  Jeremy M Kahn
Journal:  Intensive Care Med       Date:  2009-09-26       Impact factor: 17.440

Review 4.  Does patient volume affect clinical outcomes in adult intensive care units?

Authors:  Mrudula H Kanhere; Harsh A Kanhere; Alun Cameron; Guy J Maddern
Journal:  Intensive Care Med       Date:  2012-04-05       Impact factor: 17.440

5.  Hospital mortality associated with day and time of admission to intensive care units.

Authors:  Hannah Wunsch; James Mapstone; Tony Brady; Rosa Hanks; Kathryn Rowan
Journal:  Intensive Care Med       Date:  2004-03-09       Impact factor: 17.440

6.  Targets without tolerances: improper evaluation of medical personnel.

Authors:  Robert S Butler; Douglas Johnston; Michael W Kattan
Journal:  Ann Transl Med       Date:  2018-04

7.  Process monitoring in intensive care with the use of cumulative expected minus observed mortality and risk-adjusted P charts.

Authors:  Jerome G L Cockings; David A Cook; Rehana K Iqbal
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

8.  Protocol-driven vs. physician-driven electrolyte replacement in adult critically ill patients.

Authors:  Mohammed Hijazi; Mariam Al-Ansari
Journal:  Ann Saudi Med       Date:  2005 Mar-Apr       Impact factor: 1.526

Review 9.  What is the empirical evidence that hospitals with higher-risk adjusted mortality rates provide poorer quality care? A systematic review of the literature.

Authors:  David W Pitches; Mohammed A Mohammed; Richard J Lilford
Journal:  BMC Health Serv Res       Date:  2007-06-20       Impact factor: 2.655

10.  Volume, outcome, and the organization of intensive care.

Authors:  Jeremy M Kahn
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

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