The AHRQ PSNet Collection comprises an extensive selection of resources relevant to the patient safety community. These resources come in a variety of formats, including literature, research, tools, and Web sites. Resources are identified using the National Library of Medicine’s Medline database, various news and content aggregators, and the expertise of the AHRQ PSNet editorial and technical teams.
Wrong blood in tube (WBIT) errors can be classified as intended patient drawn/wrong label applied or wrong patient/intended label applied. In this international study, errors were divided almost evenly between the two types and most were a combination of protocol violations (e.g. technology not used or not used appropriately) and slips/lapses (e.g., registration errors). Additional contributory factors and recommendations for improvement are also discussed.
Kaufman RM, Dinh A, Cohn CS, et al. Transfusion (Paris). 2019;59:972-980.
Wrong-patient errors in blood transfusion can lead to serious patient harm. Research has shown that use of barcodes to ensure correct patient identification can reduce medication errors, but less is known about barcoding in transfusion management. This pre–post study examined the impact of barcode labeling on the rate of wrong blood in tube errors. Investigators found that use of barcoding improved the accuracy of labels on blood samples and samples that had even minor labeling errors had an increased chance of misidentifying the patient. The authors conclude that the results support the use of barcoding and the exclusion of blood samples with even minor labeling errors in order to ensure safe blood transfusion. An accompanying editorial delineates the complex workflow, hardware, and software required to implement barcoding for transfusion. A past WebM&M commentary discussed an incident involving a mislabeled blood specimen.
Dunbar NM, Szczepiorkowski ZM. Curr Opin Hematol. 2014;21:515-20.
Mistakes during blood transfusion can contribute to patient harm. This review discusses the use of health information technology, such as computerized provider order entry and clinical decision support systems, in transfusion medicine to enhance reliability of ordering practices and enable monitoring of adherence.