Experience with the medical event reporting system for transfusion medicine (MERS-TM) at three hospitals.
Identifieur interne : 002362 ( PubMed/Corpus ); précédent : 002361; suivant : 002363Experience with the medical event reporting system for transfusion medicine (MERS-TM) at three hospitals.
Auteurs : Jeannie L. Callum ; Lisa L. Merkley ; Ahmed S. Coovadia ; Ana P. Lima ; Harold S. KaplanSource :
- Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis [ 1473-0502 ] ; 2004.
English descriptors
- KwdEn :
- Blood Transfusion (standards), Data Collection, Database Management Systems (statistics & numerical data), Humans, Medical Errors (classification), Medical Errors (prevention & control), Medical Errors (statistics & numerical data), Medical Staff, Hospital (education), Medical Staff, Hospital (standards), Ontario, Risk Management (methods), Risk Management (statistics & numerical data), Safety, Transfusion Reaction.
- MESH :
- classification : Medical Errors.
- education : Medical Staff, Hospital.
- methods : Risk Management.
- prevention & control : Medical Errors.
- standards : Blood Transfusion, Medical Staff, Hospital.
- statistics & numerical data : Database Management Systems, Medical Errors, Risk Management.
- Data Collection, Humans, Ontario, Safety, Transfusion Reaction.
Abstract
The MERS-TM assists hospital transfusion services to identify, analyze, and correct system events relating to the delivery of blood to patients.
DOI: 10.1016/j.transci.2004.07.007
PubMed: 15501417
Links to Exploration step
pubmed:15501417Le document en format XML
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<author><name sortKey="Callum, Jeannie L" sort="Callum, Jeannie L" uniqKey="Callum J" first="Jeannie L" last="Callum">Jeannie L. Callum</name>
<affiliation><nlm:affiliation>Department of Clinical Pathology, Sunnybrook and Women's College Health Sciences Centre, and The University of Toronto, 2075 Bayview Avenue, Toronto, Ont., Canada. jeannie.callum@sw.ca</nlm:affiliation>
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<author><name sortKey="Merkley, Lisa L" sort="Merkley, Lisa L" uniqKey="Merkley L" first="Lisa L" last="Merkley">Lisa L. Merkley</name>
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<author><name sortKey="Coovadia, Ahmed S" sort="Coovadia, Ahmed S" uniqKey="Coovadia A" first="Ahmed S" last="Coovadia">Ahmed S. Coovadia</name>
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<author><name sortKey="Lima, Ana P" sort="Lima, Ana P" uniqKey="Lima A" first="Ana P" last="Lima">Ana P. Lima</name>
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<author><name sortKey="Kaplan, Harold S" sort="Kaplan, Harold S" uniqKey="Kaplan H" first="Harold S" last="Kaplan">Harold S. Kaplan</name>
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<author><name sortKey="Callum, Jeannie L" sort="Callum, Jeannie L" uniqKey="Callum J" first="Jeannie L" last="Callum">Jeannie L. Callum</name>
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<author><name sortKey="Lima, Ana P" sort="Lima, Ana P" uniqKey="Lima A" first="Ana P" last="Lima">Ana P. Lima</name>
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<author><name sortKey="Kaplan, Harold S" sort="Kaplan, Harold S" uniqKey="Kaplan H" first="Harold S" last="Kaplan">Harold S. Kaplan</name>
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<series><title level="j">Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Blood Transfusion (standards)</term>
<term>Data Collection</term>
<term>Database Management Systems (statistics & numerical data)</term>
<term>Humans</term>
<term>Medical Errors (classification)</term>
<term>Medical Errors (prevention & control)</term>
<term>Medical Errors (statistics & numerical data)</term>
<term>Medical Staff, Hospital (education)</term>
<term>Medical Staff, Hospital (standards)</term>
<term>Ontario</term>
<term>Risk Management (methods)</term>
<term>Risk Management (statistics & numerical data)</term>
<term>Safety</term>
<term>Transfusion Reaction</term>
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<keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Medical Errors</term>
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<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Risk Management</term>
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<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Medical Errors</term>
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<term>Medical Staff, Hospital</term>
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<keywords scheme="MESH" xml:lang="en"><term>Data Collection</term>
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<front><div type="abstract" xml:lang="en">The MERS-TM assists hospital transfusion services to identify, analyze, and correct system events relating to the delivery of blood to patients.</div>
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<DateCompleted><Year>2005</Year>
<Month>02</Month>
<Day>11</Day>
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<DateRevised><Year>2017</Year>
<Month>11</Month>
<Day>16</Day>
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<Article PubModel="Print"><Journal><ISSN IssnType="Print">1473-0502</ISSN>
<JournalIssue CitedMedium="Print"><Volume>31</Volume>
<Issue>2</Issue>
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<Month>Oct</Month>
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<Title>Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis</Title>
<ISOAbbreviation>Transfus. Apher. Sci.</ISOAbbreviation>
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<ArticleTitle>Experience with the medical event reporting system for transfusion medicine (MERS-TM) at three hospitals.</ArticleTitle>
<Pagination><MedlinePgn>133-43</MedlinePgn>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The MERS-TM assists hospital transfusion services to identify, analyze, and correct system events relating to the delivery of blood to patients.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">The MERS-TM system was used from February of 1999 to December 2002. All reported near-miss and actual events were recorded and analyzed.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">During these 47 months, 4670 events were reported by the transfusion service. Of these events, 94% were classified as a near-miss event and 93% were detected before the blood product was administered. No ABO-incompatible transfusions were detected despite transfusion of 50,137 units of red blood cells. High severity events with the potential for patient harm accounted for 241 (5%) of the 4670 events. Nursing related events accounted for 188 (78%) of the high severity events. In one out of 4430 (0.023%) samples tested, a high severity sample-testing event was detected. In one out of 1550 (0.06%) samples collected, a high severity sample-collection event was detected.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">An event reporting system is essential if one is to determine where and how often events are occurring within the transfusion process.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Callum</LastName>
<ForeName>Jeannie L</ForeName>
<Initials>JL</Initials>
<AffiliationInfo><Affiliation>Department of Clinical Pathology, Sunnybrook and Women's College Health Sciences Centre, and The University of Toronto, 2075 Bayview Avenue, Toronto, Ont., Canada. jeannie.callum@sw.ca</Affiliation>
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<Author ValidYN="Y"><LastName>Coovadia</LastName>
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<Author ValidYN="Y"><LastName>Lima</LastName>
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<CommentsCorrectionsList><CommentsCorrections RefType="CommentIn"><RefSource>Transfus Apher Sci. 2004 Oct;31(2):95-8</RefSource>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D001803" MajorTopicYN="N">Blood Transfusion</DescriptorName>
<QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName>
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<MeshHeading><DescriptorName UI="D003625" MajorTopicYN="N">Data Collection</DescriptorName>
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<MeshHeading><DescriptorName UI="D012449" MajorTopicYN="N">Safety</DescriptorName>
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<MeshHeading><DescriptorName UI="D065227" MajorTopicYN="N">Transfusion Reaction</DescriptorName>
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