Literature DB >> 19592880

Development and testing of an observational method for detecting medication administration errors using information technology.

Johanna I Westbrook1, Amanda Woods.   

Abstract

One-third of medication errors that cause patient harm arise from medication administration errors (MAEs). Research regarding rates of MAEs is limited and has predominantly relied upon voluntary incident reports or observational studies. Traditionally, observational studies have used paper-based data collection. This is time intensive and creates distraction from actual observation, limits the amount of information recorded and requires transcription of data. Incorporating the use of handheld computers for data collection in MAE studies provides an opportunity to overcome some of these limitations. Our objective was to develop and test an observational method which incorporated the use of data collection software on a personal digital assistant (PDA, a handheld computer) for use in observational studies to monitor MAEs within hospitals.

Entities:  

Mesh:

Year:  2009        PMID: 19592880

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  7 in total

1.  Time Capture Tool (TimeCaT): development of a comprehensive application to support data capture for Time Motion Studies.

Authors:  Marcelo Lopetegui; Po-Yin Yen; Albert M Lai; Peter J Embi; Philip R O Payne
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

2.  Interruptions to clinical work: how frequent is too frequent?

Authors:  Johanna I Westbrook
Journal:  J Grad Med Educ       Date:  2013-06

3.  An analysis of computer-related patient safety incidents to inform the development of a classification.

Authors:  Farah Magrabi; Mei-Sing Ong; William Runciman; Enrico Coiera
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

4.  Errors in the administration of intravenous medications in hospital and the role of correct procedures and nurse experience.

Authors:  Johanna I Westbrook; Marilyn I Rob; Amanda Woods; Dave Parry
Journal:  BMJ Qual Saf       Date:  2011-06-20       Impact factor: 7.035

5.  Stepped-wedge cluster randomised controlled trial to assess the effectiveness of an electronic medication management system to reduce medication errors, adverse drug events and average length of stay at two paediatric hospitals: a study protocol.

Authors:  J I Westbrook; L Li; M Z Raban; M T Baysari; V Mumford; M Prgomet; A Georgiou; T Kim; R Lake; C McCullagh; L Dalla-Pozza; J Karnon; T A O'Brien; G Ambler; R Day; C T Cowell; M Gazarian; R Worthington; C U Lehmann; L White; D Barbaric; A Gardo; M Kelly; P Kennedy
Journal:  BMJ Open       Date:  2016-10-21       Impact factor: 2.692

6.  Association Between Workarounds and Medication Administration Errors in Bar Code-Assisted Medication Administration: Protocol of a Multicenter Study.

Authors:  Willem van der Veen; Patricia Mla van den Bemt; Maarten Bijlsma; Han J de Gier; Katja Taxis
Journal:  JMIR Res Protoc       Date:  2017-04-28

Review 7.  Measuring and improving patient safety through health information technology: The Health IT Safety Framework.

Authors:  Hardeep Singh; Dean F Sittig
Journal:  BMJ Qual Saf       Date:  2015-09-14       Impact factor: 7.035

  7 in total

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