A comprehensive approach to continuous quality improvement of massive transfusion by developing key performance indicators

Ancy Ninan, Vimal Krishnan, Shamee Shastry*, Ganesh Mohan*, Deepika Chenna, Deep Madkaiker, Jayaraj Mymbilly Balakrishnan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background and Objectives: To develop key performance indicators (KPI) for use in quality assessment of our institutional goal-directed massive transfusion (GDMT). Materials and Methods: A team comprising our transfusion and emergency medicine departments carried out a cross-sectional data analysis of GDMT in adult patients from January 2021 to December 2022. The study was rooted in the Define, Measure, Analyse, Improve, Control (DMAIC) approach. Features of KPIs were (a) importance, (b) scientific soundness and (c) feasibility. Study parameters were defined and analysed using measures of central tendencies and benchmark comparison. Results: Ninety-two massive transfusion events occurred and 1405 blood components were used. Trauma was the leading cause, followed by postpartum haemorrhage and upper gastrointestinal bleeding. Appropriate GDMT activation was observed only in 43.47% of events. The turnaround time (TAT) was within the benchmark in 85.8% of events with an average of 16 ± 10 min. The average utilization of blood components was 20.5 (interquartile range [IQR] = 11.3) in the appropriate group and 5.5 (IQR = 4.25) in the inappropriate group with a wastage rate of 3.5%. Duration of activation was 6.19 ± 4.59 h, and the adherence to thromboelastography was 66.3%. Overall mortality was 45.65%, and the average duration of hospital stay was 6.1 ± 5.9 days. Conclusion: The KPIs developed were easy to capture, and the analysis provided a comprehensive approach to the quality improvement of the GDMT protocol.

Original languageEnglish
Pages (from-to)1183-1190
Number of pages8
JournalVox Sanguinis
Volume119
Issue number11
DOIs
Publication statusAccepted/In press - 2024

All Science Journal Classification (ASJC) codes

  • Hematology

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