BACKGROUND: Patient blood management programs are gaining popularity as quality improvement and patient safety initiatives, but methods for implementing such programs across multihospital health systems are not well understood. Having recently incorporated a patient blood management program across our health system using a clinical community approach, we describe our methods and results. METHODS: We formed the Johns Hopkins Health System blood management clinical community to reduce transfusion overuse across five hospitals. This physician-led, multidisciplinary, collaborative, quality-improvement team (the clinical community) worked to implement best practices for patient blood management, which we describe in detail. Changes in blood utilization and blood acquisition costs were compared for the pre- and post-patient blood management time periods. RESULTS: Across the health system, multiunit erythrocyte transfusion orders decreased from 39.7 to 20.2% (by 49%; P < 0.0001). The percentage of patients transfused decreased for erythrocytes from 11.3 to 10.4%, for plasma from 2.9 to 2.2%, and for platelets from 3.1 to 2.7%, (P < 0.0001 for all three). The number of units transfused per 1,000 patients decreased for erythrocytes from 455 to 365 (by 19.8%; P < 0.0001), for plasma from 175 to 107 (by 38.9%; P = 0.0002), and for platelets from 167 to 141 (by 15.6%; P = 0.04). Blood acquisition cost savings were $2,120,273/yr, an approximate 400% return on investment for our patient blood management efforts. CONCLUSIONS: Implementing a health system-wide patient blood management program by using a clinical community approach substantially reduced blood utilization and blood acquisition costs.
BACKGROUND:Patient blood management programs are gaining popularity as quality improvement and patient safety initiatives, but methods for implementing such programs across multihospital health systems are not well understood. Having recently incorporated a patient blood management program across our health system using a clinical community approach, we describe our methods and results. METHODS: We formed the Johns Hopkins Health System blood management clinical community to reduce transfusion overuse across five hospitals. This physician-led, multidisciplinary, collaborative, quality-improvement team (the clinical community) worked to implement best practices for patient blood management, which we describe in detail. Changes in blood utilization and blood acquisition costs were compared for the pre- and post-patient blood management time periods. RESULTS: Across the health system, multiunit erythrocyte transfusion orders decreased from 39.7 to 20.2% (by 49%; P < 0.0001). The percentage of patients transfused decreased for erythrocytes from 11.3 to 10.4%, for plasma from 2.9 to 2.2%, and for platelets from 3.1 to 2.7%, (P < 0.0001 for all three). The number of units transfused per 1,000 patients decreased for erythrocytes from 455 to 365 (by 19.8%; P < 0.0001), for plasma from 175 to 107 (by 38.9%; P = 0.0002), and for platelets from 167 to 141 (by 15.6%; P = 0.04). Blood acquisition cost savings were $2,120,273/yr, an approximate 400% return on investment for our patient blood management efforts. CONCLUSIONS: Implementing a health system-wide patient blood management program by using a clinical community approach substantially reduced blood utilization and blood acquisition costs.
Authors: Matthew A Warner; Nilesh S Jambhekar; Salwa Saadeh; Eapen K Jacob; Justin D Kreuter; William C Mundell; Alberto Marquez; Andrew A Higgins; Nageswar R Madde; William J Hogan; Daryl J Kor Journal: Transfusion Date: 2019-06-20 Impact factor: 3.157
Authors: Eshan U Patel; Evan M Bloch; Mary K Grabowski; Ruchika Goel; Parvez M Lokhandwala; Patricia A R Brunker; Jodie L White; Beth Shaz; Paul M Ness; Aaron A R Tobian Journal: Transfusion Date: 2019-06-20 Impact factor: 3.157
Authors: Kevin M Trentino; Hamish S Mace; Michael F Leahy; Frank M Sanfilippo; Shannon L Farmer; Kevin Murray Journal: Blood Transfus Date: 2020-12-22 Impact factor: 3.443
Authors: Steven M Frank; Robert A Sikorski; Gerhardt Konig; Diamantis I Tsilimigras; Jan Hartmann; Mark A Popovsky; Timothy M Pawlik; Jonathan H Waters Journal: J Gastrointest Surg Date: 2019-08-29 Impact factor: 3.452
Authors: Brian C Cho; Vincent M DeMario; Michael C Grant; Nadia B Hensley; Charles H Brown; Sachidanand Hebbar; Kaushik Mandal; Glenn J Whitman; Steven M Frank Journal: Anesth Analg Date: 2019-02 Impact factor: 5.108
Authors: Matthew A Warner; Phillip J Schulte; Andrew C Hanson; Nageswar R Madde; Jennifer M Burt; Andrew A Higgins; Nicole M Andrijasevic; Justin D Kreuter; Eapen K Jacob; James R Stubbs; Daryl J Kor Journal: Mayo Clin Proc Date: 2021-11-01 Impact factor: 7.616
Authors: Conrad W Safranek; Lauren Feitzinger; Alice Kate Cummings Joyner; Nicole Woo; Virgil Smith; Elizabeth De Souza; Christos Vasilakis; Thomas Anthony Anderson; James Fehr; Andrew Y Shin; David Scheinker; Ellen Wang; James Xie Journal: Appl Clin Inform Date: 2022-03-23 Impact factor: 2.342
Authors: Ruchika Goel; Molly R Petersen; Eshan U Patel; Zoe Packman; Evan M Bloch; Eric A Gehrie; Parvez M Lokhandwala; Paul M Ness; Beth Shaz; Louis M Katz; Steven M Frank; Aaron A R Tobian Journal: Transfusion Date: 2020-08-31 Impact factor: 3.157