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Decreasing Premedication for Blood Transfusions: A Quality Improvement Project.

Ashley Hole1, Alexandra Budhai, Kerry King

  • 1Ashley Hole is program manager for evidence-based practice, Alexandra Budhai is an assistant attending physician in transfusion medicine, Kerry King is a nurse leader, and P. Dayand Borge Jr. is chief of transfusion medicine and cell therapy, all at Memorial Sloan Kettering Cancer Center in New York City. Contact author: Ashley Hole, holea@mskcc.org . The authors and planners have disclosed no potential conflicts of interest, financial or otherwise.

The American Journal of Nursing
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Summary
This summary is machine-generated.

Implementing an evidence-based algorithm significantly reduced premedication use in blood transfusions by 57.6%, improving staff knowledge and decreasing transfusion reactions. This quality improvement initiative optimized transfusion care.

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Area of Science:

  • Oncology
  • Hematology
  • Quality Improvement

Background:

  • Premedication for blood transfusions is often administered despite lacking evidence for preventing common reactions.
  • Practices on an adult inpatient hematology-oncology unit revealed non-standardized, excessive premedication use and poor clinician knowledge.

Purpose of the Study:

  • To reduce unnecessary premedication administration for blood transfusions.
  • To improve clinician knowledge and standardize premedication practices.

Main Methods:

  • A quality improvement project developed an evidence-based algorithm for premedication decisions.
  • Interventions included algorithm implementation, electronic order integration, and staff education.

Main Results:

  • Premedication use decreased by 57.6% seven months post-intervention.
  • Transfusion reaction rates declined from 1% to 0.8%.
  • Staff knowledge regarding appropriate premedication use improved.

Conclusions:

  • Evidence-based interventions effectively decrease premedication use in transfusion patients.
  • Standardized protocols and education enhance transfusion safety and resource utilization.