Literature DB >> 26946271

Evaluating the Potential Severity of Look-Alike, Sound-Alike Drug Substitution Errors in Children.

William T Basco1, Sandra S Garner2, Myla Ebeling3, Katherine D Freeland3, Thomas C Hulsey4, Kit Simpson5.   

Abstract

OBJECTIVE: Look-alike, sound-alike (LASA) drug name substitution errors in children may pose potentially severe consequences. Our objective was to determine the degree of potential harm pediatricians ascribe to specific ambulatory LASA drug substitution errors.
METHODS: We developed a unified list of LASA pairs from published sources, removing selected drugs on the basis of preparation type (eg, injectable drugs). Using a modified Delphi method over 3 rounds, 38 practicing pediatricians estimated degree of potential harm that might occur should a patient receive the delivered drug in error and the degree of potential harm that might occur from not receiving the intended drug.
RESULTS: We identified 3550 published LASA drug pairs. A total of 1834 pairs were retained for the Delphi surveys, and 608 drug pairs were retained for round 3. Final scoring demonstrated that participants were able to identify pairs where the substitutions represented high risk of harm for receiving the delivered drug in error (eg, did not receive methylphenidate/received methadone), high risk of harm for not receiving the intended drug (eg, did not receive furosemide/received fosinopril), and pairs where the potential harm was high from not receiving the intended drug and from erroneously receiving the delivered drug (eg, did not receive albuterol/received labetalol).
CONCLUSIONS: Pediatricians have identified LASA drug substitutions that pose a high potential risk of harm to children. These results will allow future efforts to prioritize pediatric LASA errors that can be screened prospectively in outpatient pharmacies.
Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  children; medication error; patient safety; prescription error

Mesh:

Substances:

Year:  2015        PMID: 26946271      PMCID: PMC4852303          DOI: 10.1016/j.acap.2015.06.014

Source DB:  PubMed          Journal:  Acad Pediatr        ISSN: 1876-2859            Impact factor:   3.107


  14 in total

1.  Effect of orthographic and phonological similarity on false recognition of drug names.

Authors:  B L Lambert; K Y Chang; S J Lin
Journal:  Soc Sci Med       Date:  2001-06       Impact factor: 4.634

2.  Similarity as a risk factor in drug-name confusion errors: the look-alike (orthographic) and sound-alike (phonetic) model.

Authors:  B L Lambert; S J Lin; K Y Chang; S K Gandhi
Journal:  Med Care       Date:  1999-12       Impact factor: 2.983

3.  Self-reported medication errors among employees of a pharmaceutical company and their families.

Authors:  Tim Mikhelashvili; Loren Spann; Roger Garceau; Jean Paul Gagnon
Journal:  J Am Pharm Assoc (2003)       Date:  2007 Mar-Apr

4.  Clinical alerts that cried wolf. As clinical alerts pose physician workflow problems, healthcare IT leaders look for answers.

Authors:  Gabriel Perna
Journal:  Healthc Inform       Date:  2012-04

Review 5.  Interventions to reduce pediatric medication errors: a systematic review.

Authors:  Michael L Rinke; David G Bundy; Christina A Velasquez; Sandesh Rao; Yasmin Zerhouni; Katie Lobner; Jaime F Blanck; Marlene R Miller
Journal:  Pediatrics       Date:  2014-07-14       Impact factor: 7.124

6.  Using pharmacy data to screen for look-alike, sound-alike substitution errors in pediatric prescriptions.

Authors:  William T Basco; Myla Ebeling; Thomas C Hulsey; Kit Simpson
Journal:  Acad Pediatr       Date:  2010-06-11       Impact factor: 3.107

7.  Medication errors related to computerized order entry for children.

Authors:  Kathleen E Walsh; William G Adams; Howard Bauchner; Robert J Vinci; John B Chessare; Maureen R Cooper; Pamela M Hebert; Elisabeth G Schainker; Christopher P Landrigan
Journal:  Pediatrics       Date:  2006-11       Impact factor: 7.124

Review 8.  Just what the doctor ordered. Review of the evidence of the impact of computerized physician order entry system on medication errors.

Authors:  Tatyana A Shamliyan; Sue Duval; Jing Du; Robert L Kane
Journal:  Health Serv Res       Date:  2008-02       Impact factor: 3.402

9.  Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study.

Authors:  Peter J Embi; Anthony C Leonard
Journal:  J Am Med Inform Assoc       Date:  2012-04-25       Impact factor: 4.497

10.  Indication alerts intercept drug name confusion errors during computerized entry of medication orders.

Authors:  William L Galanter; Michelle L Bryson; Suzanne Falck; Rachel Rosenfield; Marci Laragh; Neeha Shrestha; Gordon D Schiff; Bruce L Lambert
Journal:  PLoS One       Date:  2014-07-15       Impact factor: 3.240

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