Literature DB >> 17329726

Measuring clinical information technology in the ICU setting: application in a quality improvement collaborative.

Ruben Amarasingham1, Peter J Pronovost, Marie Diener-West, Christine Goeschel, Todd Dorman, David R Thiemann, Neil R Powe.   

Abstract

OBJECTIVE: Few instruments are available to measure the performance of intensive care unit (ICU) clinical information systems. Our objectives were: 1) to develop a survey-based metric that assesses the automation and usability of an ICU's clinical information system; 2) to determine whether higher scores on this instrument correlate with improved outcomes in a multi-institution quality improvement collaborative.
DESIGN: This is a cross-sectional study of the medical directors of 19 Michigan ICUs participating in a state-wide quality improvement collaborative designed to reduce the rate of catheter-related blood stream infections (CRBSI). Respondents completed a survey assessing their ICU's information systems. MEASUREMENTS: The mean of 54 summed items on this instrument yields the clinical information technology (CIT) index, a global measure of the ICU's information system performance on a 100 point scale. The dependent variable in this study was the rate of CRBSI after the implementation of several evidence-based recommendations. A multivariable linear regression analysis was used to examine the relationship between the CIT score and the post-intervention CRBSI rates after adjustment for the pre-intervention rate.
RESULTS: In this cross-sectional analysis, we found that a 10 point increase in the CIT score is associated with 4.6 fewer catheter related infections per 1,000 central line days for ICUs who participate in the quality improvement intervention for 1 year (95% CI: 1.0 to 8.0).
CONCLUSIONS: This study presents a new instrument to examine ICU information system effectiveness. The results suggest that the presence of more sophisticated information systems was associated with greater reductions in the bloodstream infection rate.

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Year:  2007        PMID: 17329726      PMCID: PMC2244889          DOI: 10.1197/jamia.M2262

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  10 in total

1.  Prevention of intravascular catheter-related infections.

Authors:  L A Mermel
Journal:  Ann Intern Med       Date:  2000-03-07       Impact factor: 25.391

2.  A model for types and levels of human interaction with automation.

Authors:  R Parasuraman; T B Sheridan; C D Wickens
Journal:  IEEE Trans Syst Man Cybern A Syst Hum       Date:  2000-05

3.  Infection control - a problem for patient safety.

Authors:  John P Burke
Journal:  N Engl J Med       Date:  2003-02-13       Impact factor: 91.245

Review 4.  Guidelines for the prevention of intravascular catheter-related infections.

Authors:  Naomi P O'grady; Mary Alexander; E Patchen Dellinger; Julie L Gerberding; Stephen O Heard; Dennis G Maki; Henry Masur; Rita D McCormick; Leonard A Mermel; Michele L Pearson; Issam I Raad; Adrienne Randolph; Robert A Weinstein
Journal:  Am J Infect Control       Date:  2002-12       Impact factor: 2.918

5.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

6.  Changes in intensive care unit nurse task activity after installation of a third-generation intensive care unit information system.

Authors:  David H Wong; Yvonne Gallegos; Matthew B Weinger; Sara Clack; Jason Slagle; Cynthia T Anderson
Journal:  Crit Care Med       Date:  2003-10       Impact factor: 7.598

7.  Clinical information technology capabilities in four U.S. hospitals: testing a new structural performance measure.

Authors:  Ruben Amarasingham; Marie Diener-West; Michael Weiner; Harold Lehmann; Jerome E Herbers; Neil R Powe
Journal:  Med Care       Date:  2006-03       Impact factor: 2.983

8.  An intervention to decrease catheter-related bloodstream infections in the ICU.

Authors:  Peter Pronovost; Dale Needham; Sean Berenholtz; David Sinopoli; Haitao Chu; Sara Cosgrove; Bryan Sexton; Robert Hyzy; Robert Welsh; Gary Roth; Joseph Bander; John Kepros; Christine Goeschel
Journal:  N Engl J Med       Date:  2006-12-28       Impact factor: 91.245

9.  Reducing the frequency of errors in medicine using information technology.

Authors:  D W Bates; M Cohen; L L Leape; J M Overhage; M M Shabot; T Sheridan
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

10.  Impact of computerized physician order entry on clinical practice in a newborn intensive care unit.

Authors:  Leandro Cordero; Lynn Kuehn; Rajee R Kumar; Hagop S Mekhjian
Journal:  J Perinatol       Date:  2004-02       Impact factor: 2.521

  10 in total
  5 in total

1.  Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs.

Authors:  Natalie M Pageler; Christopher A Longhurst; Matthew Wood; David N Cornfield; Jaap Suermondt; Paul J Sharek; Deborah Franzon
Journal:  Pediatrics       Date:  2014-02-24       Impact factor: 7.124

2.  Has information technology finally been adopted in Flemish intensive care units?

Authors:  Kirsten Colpaert; Sem Vanbelleghem; Christian Danneels; Dominique Benoit; Kristof Steurbaut; Sofie Van Hoecke; Filip De Turck; Johan Decruyenaere
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-19       Impact factor: 2.796

3.  How and under what circumstances do quality improvement collaboratives lead to better outcomes? A systematic review.

Authors:  Karen Zamboni; Ulrika Baker; Mukta Tyagi; Joanna Schellenberg; Zelee Hill; Claudia Hanson
Journal:  Implement Sci       Date:  2020-05-04       Impact factor: 7.327

4.  Hospital characteristics associated with highly automated and usable clinical information systems in Texas, United States.

Authors:  Ruben Amarasingham; Marie Diener-West; Laura Plantinga; Aaron C Cunningham; Darrell J Gaskin; Neil R Powe
Journal:  BMC Med Inform Decis Mak       Date:  2008-09-15       Impact factor: 2.796

5.  Survey of information technology in Intensive Care Units in Ontario, Canada.

Authors:  Stephen E Lapinsky; David Holt; David Hallett; Mohamed Abdolell; Neill K J Adhikari
Journal:  BMC Med Inform Decis Mak       Date:  2008-01-24       Impact factor: 2.796

  5 in total

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