Quality Improvement to Decrease Specimen Mislabeling in Transfusion Medicine

Author:

Quillen Karen1,Murphy Kate1

Affiliation:

1. From the Department of Laboratory Medicine, Boston University Medical Center, Boston, Mass

Abstract

Abstract Context.—Proper specimen identification and labeling is a critical preanalytic step in pretransfusion compatibility testing. Objective.—To gather baseline data for specimen mislabeling, specifically targeting major mislabeling events, and to design and implement a plan of corrective action. Design.—All mislabeled specimens received by the transfusion service for a type and screen were recorded and classified into minor and major mislabeling categories. Major mislabeling events were tracked by origin of the specimen. Locations with a high proportion of major mislabeling were given timely feedback (within 1 week) of the events as they arose. Setting.—A university hospital. Main Outcome Measures.—The incidence of major mislabeling. Results.—The incidence of mislabeling in the transfusion service was 0.5% (243/49 955) during 21 months of data collection. Of these mislabeling events, 47% were classified as major events (unlabeled, mismatched specimen/ requisition, ABO/Rh result on current specimen not matching historical record on file). The emergency department accounted for a high proportion of these major mislabeling events. After the intervention of providing weekly feedback to emergency department staff, their contribution to major mislabeling fell from 47% in 1 year (23/49) to 14% (4/29) in the subsequent 3 quarters. Conclusions.—Collecting and trending data on mislabeled samples with timely feedback to patient care areas can change phlebotomy practice and reduce specimen mislabeling.

Publisher

Archives of Pathology and Laboratory Medicine

Subject

Medical Laboratory Technology,General Medicine,Pathology and Forensic Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3