Evidence-based red cell transfusion in the critically ill: Quality improvement using computerized physician order entry

• Published in: Critical care medicine Vol. 34; no. 7; pp. 1892 - 1897
• Main Authors: Rana, Rimki, Afessa, Bekele, Keegan, Mark T, Whalen, Francis X, Nuttall, Gregory A, Evenson, Laura K, Peters, Steve G, Winters, Jeffrey L, Hubmayr, Rolf D, Moore, S Breanndan, Gajic, Ognjen
• Format: Journal Article
• Language: English
• Published: Hagerstown, MD by the Society of Critical Care Medicine and Lippincott Williams & Wilkins 01-07-2006; Lippincott
• Subjects: Algorithms; Anemia - therapy; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy; Biological and medical sciences; Blood. Blood and plasma substitutes. Blood products. Blood cells. Blood typing. Plasmapheresis. Apheresis; Critical Illness - therapy; Decision Making, Computer-Assisted; Decision Support Techniques; Erythrocyte Transfusion - standards; Evidence-Based Medicine; Hematology; Humans; Intensive care medicine; Intensive Care Units; Investigative techniques, diagnostic techniques (general aspects); Medical sciences; Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques; Patient Care Team; Quality of Health Care - standards; Transfusions. Complications. Transfusion reactions. Cell and gene therapy; Blood cell; Intensive care; Transfusion; Critically ill; Red blood cell; Physician; Resuscitation
• ISSN: 0090-3493; 1530-0293
• DOI: 10.1097/01.CCM.0000220766.13623.FE

OBJECTIVE:The implementation of evidence-based practice poses a significant challenge in the intensive care unit. In this quality improvement intervention we assessed the effect of an institutional protocol and computerized decision support for red cell transfusion in the critically ill.
DESIGN:We compared processes of care and outcomes during the two 3-month periods before and after the introduction of a multidisciplinary quality improvement intervention.
SETTING:Multidisciplinary intensive care units—medical, surgical, and mixed—in a tertiary academic center.
PATIENTS:Consecutive critically ill patients with anemia (hemoglobin of <10 g/dL).
INTERVENTION:Using the computerized provider order entry, we developed an evidence-based decision algorithm for red cell transfusion in adult intensive care units.
MEASUREMENTS AND MAIN RESULTS:We collected information on demographics, diagnosis, severity of illness, transfusion complications, and laboratory values. The main outcome measures were number of transfusions, proportion of patients who were transfused outside evidence-based indications, transfusion complications, and adjusted hospital mortality. The mean number of red cell transfusions per intensive care unit admission decreased from 1.08 ± 2.3 units before to 0.86 ± 2.3 units after the protocol (p<.001). We observed a marked decrease in the percentage of patients receiving inappropriate transfusions (17.7% vs. 4.5%, p< .001). The rate of transfusion complications was also lower in the period after the protocol (6.1% vs. 2.7%, p = .015). In the multivariate analysis, protocol introduction was associated with decreased likelihood of red cell transfusion (odds ratio, 0.43; 95% confidence interval, 0.30 to 0.62). Adjusted hospital mortality did not differ before and after protocol implementation (odds ratio, 1.12; 95% confidence interval, 0.69 to 1.8).
CONCLUSIONS:The implementation of an institutional protocol and decision support through a computerized provider order entry effectively decreased inappropriate red cell transfusions.