Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

BACKGROUND AND OBJECTIVES: Responding to national and local pressures to reduce the amount of blood transfused, the haematology department of Oxford University Hospitals (OUH), UK implemented an electronic blood-ordering system with clinical decision support. This intervention targeted junior doctors, giving regular feedback on their transfusion practices with respect to clinical guidelines. METHODS: We evaluated the incremental costs of the intervention using interrupted time series methods to compare red blood cell and platelet usage before and after the intervention was implemented. Difference-in-differences analysis was used to control for external factors that would affect the use of blood products over time. Reductions in blood usage were balanced against intervention costs. RESULTS: The base case analysis showed an average cost saving to the department of £89 304 annually as a result of the intervention. Scenario analyses suggested that the savings may have been greater still, had the increasing trend in blood use prior to the intervention continued in the absence of the intervention. CONCLUSION: An electronic blood-ordering system with clinical decision support can reduce blood transfusions and associated healthcare costs. Focusing on improving junior doctors' transfusion practice is expected to have a knock-on benefit in terms of dissemination of good transfusion practice both within their own department and others as they continue their training.

Original publication

DOI

10.1111/vox.12880

Type

Journal article

Journal

Vox Sang

Publication Date

05/2020

Volume

115

Pages

293 - 302

Keywords

blood transfusion, clinical decision support system, haematology, health economics, interrupted time series analysis, Blood Transfusion, Costs and Cost Analysis, Decision Support Systems, Clinical, Feedback, Hospitals, University, Humans, United Kingdom