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Identification and classification of the causes of events in transfusion medicine
H S Kaplan1, J B Battles, T W Van der Schaaf
1Department of Pathology, University of Texas Southwestern Medical Center at Dallas, USA.
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.
Insights
A new Medical Event Reporting System for Transfusion Medicine (MERS-TM) was developed to systematically collect and analyze transfusion events. This system identifies multiple, often latent, causes of adverse events, improving safety and providing a potential standard for the field.
Area of Science:
- Transfusion Medicine
- Patient Safety
- Quality Improvement
Background:
- Transfusion medicine lacks standardized methods for systematic event report collection and analysis.
- Existing Food and Drug Administration (FDA) event reports show limited information on event causation.
- A prototype Medical Event Reporting System for Transfusion Medicine (MERS-TM) was developed to address these gaps.
Purpose of the Study:
- To develop and evaluate a causal analysis method for transfusion medicine event reporting.
- To implement a prototype system (MERS-TM) for systematic collection and analysis of transfusion-related events.
- To assess the practicality and usefulness of MERS-TM in identifying event causes.
Main Methods:
- Developed MERS-TM integrating descriptive coding and the Eindhoven Classification Model (Medical Version) for causal analysis.
- Modified existing FDA coding to meet participant needs for descriptive classification.
- Assessed inter-rater reliability of MERS-TM across different organizations and tested the system with 503 reported events.
Main Results:
- Analysis of 503 event reports revealed multiple and previously unrecognized latent causes of transfusion events.
- The distribution of event causes mirrored findings from non-medical industrial settings using similar classification approaches.
- High inter-rater reliability was achieved, with personnel finding MERS-TM practical and insightful for understanding event-producing conditions.
Conclusions:
- A standardized, reliable method for identifying and quantifying problems in transfusion medicine is valuable for event reporting.
- MERS-TM provides a common taxonomy enabling participants to compare experiences and benchmark performance.
- Initial studies suggest MERS-TM is readily implementable and useful, positioning it as a potential standard for transfusion medicine event reporting.
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