Measuring Clinical Information Technology in the ICU Setting: Application in a Quality Improvement Collaborative
Year: 2007
Type: article
Study design: Observational Study
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.
DOI: 10.1197/jamia.m2262
Authors: R. Amarasingham, P. J. Pronovost, M. Diener-West, C. Goeschel, T. Dorman, D. R. Thiemann, N. R. Powe
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
Awards: G109434111, G5530558714
OpenAlex ID: W1537091587
