Monitoring and feedback using data in transfusion medicine: A study of practices from the BEST Collaborative

Area of Science:

• Healthcare Quality Improvement
• Transfusion Medicine
• Health Informatics

Background:

• Effective transfusion practice quality monitoring is crucial for health systems.
• Data-driven quality improvement activities are essential but hospital approaches are poorly understood.
• This study investigates hospital strategies for managing transfusion quality data.

Purpose of the Study:

• To describe how hospitals acquire, analyze, and apply transfusion-related quality data.
• To identify patterns and variations in hospital transfusion quality monitoring strategies.
• To highlight opportunities for optimizing data use in transfusion services.

Main Methods:

• A pre-piloted survey was distributed to attendees of the Biomedical Excellence for Safer Transfusion (BEST) Collaborative.
• Survey domains included hospital characteristics, data acquisition, metric prioritization, data analysis/visualization, and feedback processes.
• Responses from nine international hospitals were summarized to identify institutional patterns and variations.

Main Results:

• Participating hospitals varied in size, specialty, and transfusion volume.
• Most hospitals integrated electronic health records and laboratory information systems for data acquisition.
• Significant variation existed in prioritized quality metrics, with few centers monitoring antifibrinolytic use, anemia management, or consent.

Conclusions:

• Selected hospitals demonstrate considerable variation in data use for monitoring transfusion practices and providing feedback.
• Opportunities exist to enhance the optimal use of data for effective quality improvement in transfusion medicine.
• Standardizing data acquisition and metric prioritization could improve transfusion quality oversight.