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      A systematic literature review on strategies to avoid look-alike errors of labels

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          Abstract

          Purpose

          Unclear labeling has been recognized as an important cause of look-alike medication errors. The aim of this literature review is to systematically evaluate the current evidence on strategies to minimize medication errors due to look-alike labels.

          Methods

          A literature search of PubMed and EMBASE for all available years was performed independently by two reviewers. Original studies assessing strategies to minimize medication errors due to look-alike labels focusing on readability of labels by health professionals or consumers were included. Data were analyzed descriptively due to the variability of study methods.

          Results

          Sixteen studies were included. Thirteen studies were performed in a laboratory and three in a healthcare setting. Eleven studies evaluated Tall Man lettering, i.e., capitalizing parts of the drug name, two color-coding, and three studies other strategies. In six studies, lower error rates were found for the Tall Man letter strategy; one showed significantly higher error rates. Effects of Tall Man lettering on response time were more varied. A study in the hospital setting did not show an effect on the potential look-alike sound-alike error rate by introducing Tall Man lettering. Color-coding had no effect on the prevention of syringe-swaps in one study.

          Conclusions

          Studies performed in laboratory settings showed that Tall Man lettering contributed to a better readability of medication labels. Only few studies evaluated other strategies such as color-coding. More evidence, especially from real-life setting is needed to support safe labeling strategies.

          Electronic supplementary material

          The online version of this article (10.1007/s00228-018-2471-z) contains supplementary material, which is available to authorized users.

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          Most cited references30

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          Reducing medication errors through naming, labeling, and packaging.

          Errors due to look-alike or sound-alike medication names are common in the United States, and are responsible for thousands of deaths and millions of dollars in cost each year. Up to 25% of all medication errors are attributed to name confusion, and 33% to packaging and/or labeling confusion. Thousands of medication name pairs have been confused based on similar appearances or sounds when written or spoken, or have been identified as having the potential for confusion. Systems and recommendations have been developed that may reduce the occurrence of such errors.
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            Interventions to reduce nurses' medication administration errors in inpatient settings: A systematic review and meta-analysis.

            Serious medication administration errors are common in hospitals. Various interventions, including barcode-based technologies, have been developed to help prevent such errors. This systematic review and this meta-analysis focus on the efficacy of interventions for reducing medication administration errors. The types of error and their gravity were also studied.
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              Drug Administration Errors in Hospital Inpatients: A Systematic Review

              Context Drug administration in the hospital setting is the last barrier before a possible error reaches the patient. Objectives We aimed to analyze the prevalence and nature of administration error rate detected by the observation method. Data Sources Embase, MEDLINE, Cochrane Library from 1966 to December 2011 and reference lists of included studies. Study Selection Observational studies, cross-sectional studies, before-and-after studies, and randomized controlled trials that measured the rate of administration errors in inpatients were included. Data Extraction Two reviewers (senior pharmacists) independently identified studies for inclusion. One reviewer extracted the data; the second reviewer checked the data. The main outcome was the error rate calculated as being the number of errors without wrong time errors divided by the Total Opportunity for Errors (TOE, sum of the total number of doses ordered plus the unordered doses given), and multiplied by 100. For studies that reported it, clinical impact was reclassified into four categories from fatal to minor or no impact. Due to a large heterogeneity, results were expressed as median values (interquartile range, IQR), according to their study design. Results Among 2088 studies, a total of 52 reported TOE. Most of the studies were cross-sectional studies (N=46). The median error rate without wrong time errors for the cross-sectional studies using TOE was 10.5% [IQR: 7.3%-21.7%]. No fatal error was observed and most errors were classified as minor in the 18 studies in which clinical impact was analyzed. We did not find any evidence of publication bias. Conclusions Administration errors are frequent among inpatients. The median error rate without wrong time errors for the cross-sectional studies using TOE was about 10%. A standardization of administration error rate using the same denominator (TOE), numerator and types of errors is essential for further publications.
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                Author and article information

                Contributors
                0031 38 4247475 , k.h.m.beld@isala.nl
                Journal
                Eur J Clin Pharmacol
                Eur. J. Clin. Pharmacol
                European Journal of Clinical Pharmacology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0031-6970
                1432-1041
                12 May 2018
                12 May 2018
                2018
                : 74
                : 8
                : 985-993
                Affiliations
                [1 ]ISNI 0000 0001 0547 5927, GRID grid.452600.5, Department of Clinical Pharmacy, , Isala Hospital, ; Dokter van Heesweg 2, 8025 AB Zwolle, The Netherlands
                [2 ]ISNI 0000 0004 0407 1981, GRID grid.4830.f, Faculty of Mathematics and Natural Sciences, PharmacoTherapy, -Epidemiology and -Economics, Groningen Research Institute of Pharmacy, , University of Groningen, ; Groningen, The Netherlands
                Article
                2471
                10.1007/s00228-018-2471-z
                6061459
                29754215
                3130f8b7-6342-4cdf-86e8-5ffb8837c110
                © The Author(s) 2018

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 8 January 2018
                : 25 April 2018
                Funding
                Funded by: University of Groningen
                Categories
                Review
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2018

                Pharmacology & Pharmaceutical medicine
                look-alike,label,tall man,color coding,medication
                Pharmacology & Pharmaceutical medicine
                look-alike, label, tall man, color coding, medication

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