Literature DB >> 17348872

Seven hundred and fifty-nine (759) chances to learn: a 3-year pilot project to analyse transfusion-related near-miss events in the Republic of Ireland.

D Lundy1, S Laspina, H Kaplan, B Rabin Fastman, E Lawlor.   

Abstract

BACKGROUND: The National Haemovigilance Office has collected and analysed reports on errors associated with transfusion since 2000. A 3-year pilot research project in near-miss event reporting commenced in November 2002.
MATERIALS AND METHODS: Near-miss reports from 10 hospital sites were analysed between May 2003 and May 2005. The Medical Event Reporting System for Transfusion Medicine was used to collect and analyse the data. Root cause analysis was used to identify causes of error.
RESULTS: A total of 759 near-miss events were reported. Near misses are occurring 18 times more frequently than adverse events causing harm. Sample collection was found to be the highest risk step in the work process and was the first site of error in 468 (62%) events. Of these, 13 (3%) involved samples taken from the wrong patient. Medical staff were frequently involved in error. The general wards and emergency department were identified as high-risk clinical areas, in addition, 78 (10%) events occurred within the transfusion laboratory. Three specific human and two system failures were shown to have been associated with the errors identified in this study.
CONCLUSIONS: This study confirms that near-miss events occur far more frequently than adverse events causing harm. Collecting near-miss data is an effective means of highlighting human and system failures associated with transfusion that may otherwise go unnoticed. These data can be used to identify areas where resources need to be targeted in order to prevent future harm to patients, improving the overall safety of transfusion.

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Year:  2007        PMID: 17348872     DOI: 10.1111/j.1423-0410.2006.00885.x

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  10 in total

1.  The role of comprehensive check at the blood bank reception on blood requisitions in detecting potential transfusion errors.

Authors:  Ashish Jain; Sonam Kumari; Neelam Marwaha; Ratti Ram Sharma
Journal:  Indian J Hematol Blood Transfus       Date:  2014-08-17       Impact factor: 0.900

2.  Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders.

Authors:  Jonathan D Burlison; Robert B McDaniel; Donald K Baker; Murad Hasan; Jennifer J Robertson; Scott C Howard; James M Hoffman
Journal:  Appl Clin Inform       Date:  2018-01-31       Impact factor: 2.342

3.  Reporting System in Transfusion Medicine - a Contribution to Patient Safety in the CLINOTEL Hospital Group.

Authors:  Andreas Becker; Frank Thölen
Journal:  Transfus Med Hemother       Date:  2010-05-25       Impact factor: 3.747

4.  Use of an identification system based on biometric data for patients requiring transfusions guarantees transfusion safety and traceability.

Authors:  Francesco Bennardello; Carmelo Fidone; Sergio Cabibbo; Salvatore Calabrese; Giovanni Garozzo; Grazia Cassarino; Agostino Antolino; Giuseppe Tavolino; Nuccio Zisa; Cadigia Falla; Giuseppe Drago; Giovanna Di Stefano; Pietro Bonomo
Journal:  Blood Transfus       Date:  2009-07       Impact factor: 3.443

5.  Learning from Workers' Near-miss Reports to Improve Organizational Management.

Authors:  Emily J Haas; Brendan Demich; Joseph McGuire
Journal:  Min Metall Explor       Date:  2020-01-22

Review 6.  Development of an evidence-based framework of factors contributing to patient safety incidents in hospital settings: a systematic review.

Authors:  Rebecca Lawton; Rosemary R C McEachan; Sally J Giles; Reema Sirriyeh; Ian S Watt; John Wright
Journal:  BMJ Qual Saf       Date:  2012-03-15       Impact factor: 7.035

7.  Unit-based incident reporting and root cause analysis: variation at three hospital unit types.

Authors:  Cordula Wagner; Hanneke Merten; Laura Zwaan; Sanne Lubberding; Danielle Timmermans; Marleen Smits
Journal:  BMJ Open       Date:  2016-06-21       Impact factor: 2.692

8.  The Evolving Role of Information Technology in Haemovigilance Systems.

Authors:  Augusto Ramoa; Jorge Condeço; Maria Antónia Escoval; Jean-Claude Faber; Florentino Fdez-Riverola; Anália Lourenço
Journal:  J Healthc Eng       Date:  2018-03-08       Impact factor: 2.682

9.  Prevalence of Near-miss Events of Transfusion Practice and Its Associated Factors amongst House Officers in a Teaching Hospital.

Authors:  Noor Haslina Mohd Noor; Kimberly Fe Joibe; Mohd Nazri Hasan
Journal:  Oman Med J       Date:  2021-03-31

10.  Simulation as a toolkit-understanding the perils of blood transfusion in a complex health care environment.

Authors:  Douglas M Campbell; Laya Poost-Foroosh; Katerina Pavenski; Maya Contreras; Fahad Alam; Jason Lee; Patricia Houston
Journal:  Adv Simul (Lond)       Date:  2016-12-08
  10 in total

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