Challenges in RBC Blood Transfusion in an Academic Medical Center Dr. Kendal Williams MD, MPH Assistant Professor of Clinical Medicine Co-Director of the.

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Challenges in RBC Blood Transfusion in an Academic Medical Center Dr. Kendal Williams MD, MPH Assistant Professor of Clinical Medicine Co-Director of the UPHS Center for Evidence-based Practice Dr. Jacob Gutsche MD Anesthesiology and Critical Care Medical Director Surgical Critical Care PPMC Dr. Susan Tan-Torres MD, MPH-PRESENTER Senior Quality PPMC Myra Lazo MSPA-C Director of Informatics and Clinical PPMC Joseph DiMartino RN, MSN- PRESENTER Outcomes Coordinator Penn E-lert eICU April 29, 2011

2 Objectives  Provide background information  Identify the problems  Discuss the challenges and methodology  Present the results  Plans for the future

3 Background  Red Blood Cell transfusions are associated with: Increase in infection risk Increase in mortality Increase in morbidity Increase Hospital length of stay Increase Hospital costs

4 Background  What was the problem at UPHS? It was noted by clinicians and blood bank personnel that there was an opportunity to improve RBC utilization There was a lack of consistency among clinicians when ordering red blood cells  Performance Based Incentive Programs CEQI- Clinical Effectiveness and Quality Improvement –Incentives to improve patient care  GOAL Demonstrate that the integration of technology with a Clinical Decision Support tool can facilitate adherence to Evidence Based Practice and enable measurability.

5 Center for Evidence-Based Practice  The Center summarizes scientific evidence for UPHS decision making about high impact drugs, devices and processes of care, and is charged with building evidence-based collaborative enterprises with external organizations. February 2009 –CEP report done on “Indications for Transfusion of Blood Components” with the aim to develop these indications –An interdisciplinary group of clinicians from UPHS reviewed the results of the meta-analysis and indications were agreed upon and established

6 Plan  To develop a decision support tool, founded on evidence- based practice, for clinicians to utilize when ordering blood products Initial plan was to implement health system-wide but there were significant challenges encountered –Variations in technology and clinical practice in all entities –Time limitations As a result, the tool was piloted at one hospital to allow for design changes based upon analyses of initial results

7 Primary Objectives Develop a clinical decision support tool through a blood transfusion order set in Sunrise Clinical Manager Pilot the use of the order set at Penn Presbyterian Medical Center Evaluate the effectiveness of the order set Develop a refined tool for use at Pennsylvania Hospital and then at the Hospital of the University of Pennsylvania

8 Clinical Decision Support-RBC Version 1.0

9 Clinical Decision Support-RBC Version 1.1

10 Methods  Electronic order set was implemented at PPMC in April 2010 Limited provider education –Tool was designed to be intuitive and included menu-driven transfusion indications with 3 ranges of hemoglobin levels (a lab value that has become one of the measuring points for a blood transfusion)  Data Validation Manual verification of the data pull with the EMR  Data Collection Pre and Post Intervention data was collected and analyzed with assistance from the Penn Data Store

11 Penn Data Store

12 RESULTS  Rate of RBC transfusion decreased by 16.39% which was statistically significant (p<0.05); volume of patients with RBC transfusion decreased by 15%  Total Orders decreased by 21% (2341 to 1855)  Average #units transfused per patient stay decreased by 1.11% but the difference is not statistically significant (p>0.05) Pre-Order Set (Oct2009-Mar2010) Post-Order Set (May-Oct2010) Total Patients Total Patients with RBC Transfusion Rate of RBC Transfusion10.31%8.62% Average #Units per Patient Stay Total Orders

13 Results (continued)  The design of the order set resulted in a reduction of the median hemoglobin level used for transfusion ordering Median Hg Pre Intervention7.7 g/dL Post Intervention7.6 g/dL p= 0.96  The decrease in median hemoglobin level from pre to post order set was not statistically significant

14 Conclusion/Future plans  More education will be provided to ordering clinicians prior to the launch of the enhanced order set version 2  Implementation of the order set at HUP A unified order set is being discussion as opposed to 3 different versions for the 3 hospitals in the health system  Similar process in place for utilization of other blood products i.e., Fresh Frozen Plasma and Platelets  Use of an analyzer software to determine the appropriate type of blood products to use Trial complete and to be implemented in the Operating Rooms –TEG System®

15 Conclusion/Future plans  Implement a real time online Dashboard with drill down capabilities and graphical presentations of the data (in development)

16 Take Away Message  “When evaluating a hemoglobin level, treating physicians must resist the temptation to “first do something” and temper this temptation with a philosophy of “first do no harm” to achieve the optimal balance of providing the best risk-benefit and cost effective outcomes of transfusion therapy for patients.” – Shander, A. & Goodnough, L, 2010 JAMA

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