Abstract
Objectives
Transfusions remain a complicated procedure involving many disciplines performing various steps. Pretransfusion specimen identification errors remain a concern. Over the past two ...decades, system changes have been made and minimal improvements in the error rates have been seen. Wrong blood in tube (WBIT) events may lead to mistransfusions of components with life-threatening complications.
Methods
A continuous quality improvement effort involving the introduction of electronic patient identification at the point of pretransfusion specimen collection (an automated system improvement), manual independent dual verification, and periodic education (human process system improvements) were implemented.
Results
Both automated and human system process improvements resulted in greater than 10-fold reduction in WBIT events and a 47% reduction in mislabeled specimens.
Conclusions
Diligent improvement and implementation of combination automated system processes and human protocols with continuous monitoring led to great reductions in WBIT error rates and labeling discrepancies, leading to an increase in system safety. These combinations of improvement can lead to more decreased error rates if applied to other critical process steps in the transfusion process.
BACKGROUND
Culturing residual blood components after suspected septic transfusion reactions guides management of patients and cocomponents. Current practice, accuracy of provider vital sign ...assessment, and performance of the AABB culture criteria are unknown. A multicenter international study was undertaken to investigate these issues and develop improved culture criteria.
STUDY DESIGN AND METHODS
Retrospective data for all transfusion reactions resulting in residual blood component culture in 2016 were collected from participating hospitals. The performance of the AABB culture criteria were assessed for detection of positive culture results. Modifications to the AABB criteria including 1) recommending culturing in the setting of isolated high fevers, 2) defining hypotension and tachycardia using objective parameters, and 3) incorporating antipyretic use were tested to determine if modifications improved performance. Modifications associated with improvement were incorporate into the BEST criteria. The AABB and the BEST criteria were then tested against a data set enriched for positive culture results to determine which criteria were superior.
RESULTS
Data were collected from 20 centers encompassing 779,143 transfusions, 3,187 reported transfusion reactions, and 1,104 cultured components. There was marked variation in reaction reporting and culturing rates (0.0%‐100.0%). Of 35 total positive component cultures, only one of 35 (2.9%) had concordant patient cultures; 12 of 34 (35.3%) did not have patient cultures performed. The BEST criteria had better sensitivity for detection of a positive culture result compared to the AABB criteria (74% vs. 41%), although specificity decreased (45% vs. 65%).
CONCLUSION
Compared to the AABB criteria, the BEST criteria have improved sensitivity for positive culture detection.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
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