Literature DB >> 26239728

Geographical variation in use of intensive care: a nationwide study.

Anne Høy Seemann Vestergaard1, Christian Fynbo Christiansen2, Henrik Nielsen2, Steffen Christensen3, Søren Paaske Johnsen2.   

Abstract

PURPOSE: To examine whether there is geographical variation in the use of intensive care resources in Denmark concerning both intensive care unit (ICU) admission and use of specific interventions. Substantial variation in use of intensive care has been reported between countries and within the US, however, data on geographical variation in use within more homogenous tax-supported health care systems are sparse.
METHODS: We conducted a population-based cross-sectional study based on linkage of national medical registries including all Danish residents between 2008 and 2012 using population statistics from Statistics Denmark. Data on ICU admissions and interventions, including mechanical ventilation, noninvasive ventilation, acute renal replacement therapy, and treatment with inotropes/vasopressors, were obtained from the Danish Intensive Care Database. Data on patients' residence at the time of admission were obtained from the Danish National Registry of Patients.
RESULTS: The overall age- and gender standardized number of ICU patients per 1000 person-years for the 5-year period was 4.3 patients (95 % CI, 4.2; 4.3) ranging from 3.7 (95 % CI, 3.6; 3.7) to 5.1 patients per 1000 person-years (95 % CI, 5.0; 5.2) in the five regions of Denmark and from 2.8 (95 % CI, 2.8; 3.0) to 23.1 patients per 1000 person-years (95 % CI, 13.0; 33.1) in the 98 municipalities. The age-, gender-, and comorbidity standardized proportion of use of interventions among ICU patients also differed across regions and municipalities.
CONCLUSIONS: There was only minimal geographical variation in the use of intensive care admissions and interventions at the regional level in Denmark, but more pronounced variation at the municipality level.

Entities:  

Keywords:  Critical care; Geographical variation; Intensive care units; Patient admission

Mesh:

Year:  2015        PMID: 26239728     DOI: 10.1007/s00134-015-3999-3

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  15 in total

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2.  Comparison of medical admissions to intensive care units in the United States and United Kingdom.

Authors:  Hannah Wunsch; Derek C Angus; David A Harrison; Walter T Linde-Zwirble; Kathryn M Rowan
Journal:  Am J Respir Crit Care Med       Date:  2011-03-25       Impact factor: 21.405

3.  ICU bed supply, utilization, and health care spending: an example of demand elasticity.

Authors:  Rebecca A Gooch; Jeremy M Kahn
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4.  Variation in critical care beds per capita in the United States: implications for pandemic and disaster planning.

Authors:  Brendan G Carr; Daniel K Addyson; Jeremy M Kahn
Journal:  JAMA       Date:  2010-04-14       Impact factor: 56.272

5.  The Eldicus prospective, observational study of triage decision making in European intensive care units: part I--European Intensive Care Admission Triage Scores.

Authors:  Charles L Sprung; Mario Baras; Gaetano Iapichino; Jozef Kesecioglu; Anne Lippert; Chris Hargreaves; Angelo Pezzi; Romain Pirracchio; David L Edbrooke; Antonio Pesenti; Jan Bakker; Gabriel Gurman; Simon L Cohen; Joergen Wiis; Didier Payen; Antonio Artigas
Journal:  Crit Care Med       Date:  2012-01       Impact factor: 7.598

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7.  The impact of pre-admission morbidity level on 3-year mortality after intensive care: a Danish cohort study.

Authors:  C F Christiansen; S Christensen; M B Johansen; K M Larsen; E Tønnesen; H T Sørensen
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Review 8.  Variation in critical care services across North America and Western Europe.

Authors:  Hannah Wunsch; Derek C Angus; David A Harrison; Olivier Collange; Robert Fowler; Eric A J Hoste; Nicolette F de Keizer; Alexander Kersten; Walter T Linde-Zwirble; Alberto Sandiumenge; Kathryn M Rowan
Journal:  Crit Care Med       Date:  2008-10       Impact factor: 7.598

9.  The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients.

Authors:  Sandra K Thygesen; Christian F Christiansen; Steffen Christensen; Timothy L Lash; Henrik T Sørensen
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10.  Does space make waste? The influence of ICU bed capacity on admission decisions.

Authors:  Esteban Mery; Jeremy M Kahn
Journal:  Crit Care       Date:  2013-05-08       Impact factor: 9.097

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Review 4.  Ethical aspects of registry-based research in the Nordic countries.

Authors:  Jonas F Ludvigsson; Siri E Håberg; Gun Peggy Knudsen; Pierre Lafolie; Helga Zoega; Catharina Sarkkola; Stephanie von Kraemer; Elisabete Weiderpass; Mette Nørgaard
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5.  A scoping review of registry captured indicators for evaluating quality of critical care in ICU.

Authors:  Issrah Jawad; Sumayyah Rashan; Chathurani Sigera; Jorge Salluh; Arjen M Dondorp; Rashan Haniffa; Abi Beane
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  5 in total

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