Literature DB >> 23530787

Effectiveness of a patient blood management data system in monitoring blood use in Western Australia.

S A Mukhtar1, M F Leahy, K Koay, J B Semmens, J Tovey, J Jewlachow, S I Farmer, A Hofmann, H A Roberts, S C Towler.   

Abstract

The aim of this paper is to describe a linked patient blood management (PBM) data system and to demonstrate its usefulness by presenting the blood usage data obtained. Our existing datasets already collected much of the required information in relation to PBM. However, these datasets were not linked. A patient identifier was used to link the Patient Administration System with the Laboratory Information System. Data linkage was achieved by linking the Laboratory Information System with the Patient Administration System records where blood transfusion or laboratory result date/time fell between admission and discharge date/time. The two datasets were then consolidated into the PBM data system. Blood usage data obtained from the system showed that between August 2008 and July 2009 there were 59,627 patient completed separations in the pilot hospital. Of the total transfused units, 62% were red blood cells (RBC), followed by fresh frozen plasma (22%), cryoprecipitate (9%) and platelets (8%). Around 50% of RBC transfusions were administered to patients >70 years of age. General medicine represented 21% of RBC usage, followed by haematology (19%), orthopaedics (17%) and general surgery (16%). Patients with 100 g/l pre-transfusion haemoglobin received 9% of RBC transfusions and patients with 71-100 g/l pre-transfusion haemoglobin received 73% of RBC transfusions. The post-transfusion haemoglobin in RBC transfusions exceeded 100 g/l in 33% of patients. Databases were successfully linked to produce a powerful tool to monitor blood utilisation and transfusion practices within a pilot PBM program. This will facilitate effective targeting of PBM strategies and ongoing monitoring of their impact.

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Year:  2013        PMID: 23530787     DOI: 10.1177/0310057X1304100210

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  6 in total

1.  Change in Clinical Practice Associated With a Large Randomized Controlled Trial Comparing RBC Transfusion Strategies.

Authors:  Kevin M Trentino; Frank M Sanfilippo; Michael F Leahy; Shannon L Farmer; Ian Gilfillan; Kevin Murray
Journal:  Chest       Date:  2020-01-23       Impact factor: 9.410

2.  Monitoring compliance with transfusion guidelines in hospital departments by electronic data capture.

Authors:  Astrid Norgaard; Trine Honnens De Lichtenberg; Jens Nielsen; Pär I Johansson
Journal:  Blood Transfus       Date:  2014-06-05       Impact factor: 3.443

3.  Investigating the association between blood transfusion and clinical outcomes in patients with acute coronary syndromes: a data linkage approach to Patient Blood Management.

Authors:  Guilherme S Franco; Julie Li; Ling Li; Mark Dean; Grant Shalaby; Andrew Georgiou
Journal:  Blood Transfus       Date:  2020-12-01       Impact factor: 3.443

4.  Perioperative inappropriate red blood cell transfusions significantly increase total costs in elective surgical patients, representing an important economic burden for hospitals.

Authors:  Andrea Saporito; Davide La Regina; Axel Hofmann; Lorenzo Ruinelli; Alessandro Merler; Francesco Mongelli; Kevin M Trentino; Paolo Ferrari
Journal:  Front Med (Lausanne)       Date:  2022-08-30

5.  Making patient blood management the new norm(al) as experienced by implementors in diverse countries.

Authors:  Axel Hofmann; Donat R Spahn; Anke-Peggy Holtorf
Journal:  BMC Health Serv Res       Date:  2021-07-02       Impact factor: 2.655

Review 6.  Essential Role of Patient Blood Management in a Pandemic: A Call for Action.

Authors:  Aryeh Shander; Susan M Goobie; Matthew A Warner; Matti Aapro; Elvira Bisbe; Angel A Perez-Calatayud; Jeannie Callum; Melissa M Cushing; Wayne B Dyer; Jochen Erhard; David Faraoni; Shannon Farmer; Tatyana Fedorova; Steven M Frank; Bernd Froessler; Hans Gombotz; Irwin Gross; Nicole R Guinn; Thorsten Haas; Jeffrey Hamdorf; James P Isbister; Mazyar Javidroozi; Hongwen Ji; Young-Woo Kim; Daryl J Kor; Johann Kurz; Sigismond Lasocki; Michael F Leahy; Cheuk-Kwong Lee; Jeong Jae Lee; Vernon Louw; Jens Meier; Anna Mezzacasa; Manuel Munoz; Sherri Ozawa; Marco Pavesi; Nina Shander; Donat R Spahn; Bruce D Spiess; Jackie Thomson; Kevin Trentino; Christoph Zenger; Axel Hofmann
Journal:  Anesth Analg       Date:  2020-07       Impact factor: 5.108

  6 in total

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