PMID- 37782004
OWN - NLM
STAT- MEDLINE
DCOM- 20231222
LR  - 20240102
IS  - 1365-3148 (Electronic)
IS  - 0958-7578 (Linking)
VI  - 33
IP  - 6
DP  - 2023 Dec
TI  - Comparing transfusion practice at multiple hospitals using electronically 
      collected and analysed data.
PG  - 453-459
LID - 10.1111/tme.13008 [doi]
AB  - BACKGROUND: Comparisons of transfusion practice between organisations are 
      time-consuming using manual methods for data collection. We performed a 
      feasibility study to determine whether large-scale transfusion data from three 
      English hospitals could be combined to allow comparisons of transfusion practice. 
      METHODS: Clinical, laboratory and transfusion data from patients discharged 
      between 1 April 2016 and 31 March 2017 were extracted from Patient Administration 
      Systems (PAS), Laboratory Information Management Systems (LIMS), and electronic 
      transfusion systems at three NHS hospitals, which are academic medical centres 
      based in large cities outside London. A centralised database and business 
      intelligence software were used to compare the data. RESULTS: The dataset 
      contained 748 982 episodes of patient care with 91 410 blood components 
      transfused. The study confirms the results of previous studies finding peaks in 
      the ages of transfusion in the 0-4 years age range, in women of childbearing 
      ages, and in males over 60 years. The number of components transfused per 1000 
      bed days was used as a standardised comparator. Red cell utilisation was 42.4, 
      40.4 and 49.5 units/1000 bed days and platelet utilisation 11.69, 7.76, and 
      11.66 units/1000 bed days. 60.5% (6848/11 310) of Group O D negative red cell 
      units were transfused to non-group O D negative recipients. An analysis of 
      component usage highlighted variations in practice, for example platelet usage 
      for cardiac surgery varied from 2.4% to 7.3% across the three hospitals. 
      CONCLUSION: This feasibility study demonstrates that large electronic datasets 
      from hospitals can be combined to identify areas for targeted interventions to 
      improve transfusion practice.
CI  - (c) 2023 British Blood Transfusion Society.
FAU - D'Souza, Ross
AU  - D'Souza R
AD  - NHS Blood and Transplant, Liverpool, UK.
FAU - Dhesi, Amanpreet Singh
AU  - Dhesi AS
AUID- ORCID: 0000-0002-4626-1287
AD  - NHS Blood and Transplant, Liverpool, UK.
FAU - Pendry, Kate
AU  - Pendry K
AD  - NHS Blood and Transplant, Liverpool, UK.
AD  - Manchester University NHS Foundation Trust, Manchester, UK.
FAU - Charlton, Andrew
AU  - Charlton A
AD  - NHS Blood and Transplant, Liverpool, UK.
AD  - The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK.
FAU - Staples, Sophie
AU  - Staples S
AD  - Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
FAU - Watkins, Nicholas A
AU  - Watkins NA
AD  - NHS Blood and Transplant, Liverpool, UK.
FAU - Murphy, Michael F
AU  - Murphy MF
AD  - NHS Blood and Transplant, Liverpool, UK.
AD  - Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
AD  - Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
LA  - eng
GR  - NHS Blood and Transplant/
PT  - Journal Article
DEP - 20231002
PL  - England
TA  - Transfus Med
JT  - Transfusion medicine (Oxford, England)
JID - 9301182
SB  - IM
MH  - Male
MH  - Humans
MH  - Female
MH  - Middle Aged
MH  - *Erythrocyte Transfusion
MH  - Blood Transfusion
MH  - Hospitals
MH  - Blood Component Transfusion
MH  - *Cardiac Surgical Procedures
EDAT- 2023/10/02 12:42
MHDA- 2023/12/22 06:42
CRDT- 2023/10/02 07:43
PHST- 2023/08/02 00:00 [revised]
PHST- 2023/04/13 00:00 [received]
PHST- 2023/09/09 00:00 [accepted]
PHST- 2023/12/22 06:42 [medline]
PHST- 2023/10/02 12:42 [pubmed]
PHST- 2023/10/02 07:43 [entrez]
AID - 10.1111/tme.13008 [doi]
PST - ppublish
SO  - Transfus Med. 2023 Dec;33(6):453-459. doi: 10.1111/tme.13008. Epub 2023 Oct 2.