Identification and classification of the causes of events in transfusion medicine

Authors

  • H. Kaplan MD,

    Professor and Director, Corresponding author
      Clinical Pathology and Transfusion Medicine, Department of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., CS3.114, Dallas, TX 75235–9072.
    Search for more papers by this author
  • J.B. Battles,

    Search for more papers by this author
    • 2

      James B. Battles, PhD, Professor, Office of Medical Education, University of Texas Southwestern Medical Center.

  • T.W. Van der Schaaf,

    Search for more papers by this author
    • 3

      Tjerk W. Van der Schaaf, PhD, Associate Professor, Faculty of Technology Management, Safety Management Group, Eindhoven University of Technology, Eindhoven, The Netherlands.

  • C.E. Shea,

    Search for more papers by this author
    • 4

      Christine E. Shea, PhD, Postdoctoral Fellow, Faculty of Technology Management, Safety Management Group, Eindhoven University of Technology.

  • S. Q. Mercer

    Search for more papers by this author
    • 5

      S. Quay Mercer, BS, MT(ASCP), Research Project Coordinator, Department of Pathology, University of Texas Southwestern Medical Center.


Clinical Pathology and Transfusion Medicine, Department of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., CS3.114, Dallas, TX 75235–9072.

Abstract

BACKGROUND: Transfusion medicine lacks a standard method for the systematic collection and analysis of event reports. Review of event reports from the Food and Drug Administration (FDA) showed a relative paucity of information on event causation. Thus, a causal analysis method was developed as part of a prototype Medical Event Reporting System for Transfusion Medicine (MERS-TM). STUDY DESIGN AND METHODS: MERS-TM functions within existing quality assurance systems and utilizes descriptive coding and causal classification schemes. The descriptive classification system, based upon current FDA coding, was modified to meet participant needs. The Eindhoven Classification Model (Medical Version) was adopted for causal classification and analysis. Inter-rater reliability for the MERS-TM and among participating organizations was performed with the development group in the United States and with a safety science research group in the Netherlands. The MERS-TM was then tested with events reported by participants. RESULTS: Data from 503 event reports from two blood centers and two transfusion services are discussed. The data showed multiple causes for events and more latent causes than previously recognized. The distribution of causes was remarkably similar to that in an industrial setting outside of medicine that uses the same classification approach. There was a high degree of inter-rater reliability when the same events were analyzed by quality assurance personnel in different participating organizations. These personnel found the method practical and useful for providing new insights into conditions producing undesired events. CONCLUSION: A generally applicable and reliable method for identifying and quantifying problems that exist throughout transfusion medicine will be a valuable addition to event reporting activity. By using a common taxonomy, participants can compare their experience with that of others. If proven as readily implementable and useful as shown in initial studies, MERS-TM is a potential standard for transfusion medicine.

Ancillary