Literature DB >> 16944965

Errors associated with applying decision support by suggesting default doses for aminoglycosides.

Saeid Eslami1, Ameen Abu-Hanna, Nicolette F de Keizer, Evert de Jonge.   

Abstract

BACKGROUND: Medication errors, and the resultant adverse drug events (ADEs), are one of the main preventable causes of morbidity and mortality. Computerised physician order entry (CPOE) is reported to reduce the frequency of these errors. However, CPOE systems themselves may be associated with errors. The aim of this study was to investigate the effects of a CPOE system that displays an initial default dose for gentamycin and tobramycin administration on the frequency of medication errors and potential ADEs in patients with renal insufficiency.
METHODS: Gentamycin and tobramycin prescriptions from the CPOE records of a Dutch tertiary adult intensive care unit were retrospectively compared with doses recommended by a locally developed guideline. The default dose for gentamycin and tobramycin in the CPOE system is 240 mg/day. A dose prescribing error was defined as an administered dose that exceeded the recommended dose by >10%.
RESULTS: Three hundred and ninty two prescriptions, relating to 253 patients (of whom 184 had renal insufficiency), were analysed. There was a high frequency (58%, 227 of 392) of prescriptions that used the CPOE system's default dose of 240 mg/day. The dose was wrong in 73% (165) of these orders. Default orders for patients with renal insufficiency amounted to 52% (132 of 259). A total of 86% (113 of 132) of these resulted in potential ADEs compared with 53% (66 of 124) for the rest of orders (p < 0.0001). DISCUSSION: A markedly high frequency of prescriptions followed the default dose value and, in patients with renal insufficiency, there was a high frequency of doses exceeding the guideline recommendation (+10%), amounting to potential ADEs.
CONCLUSION: Initial CPOE dose values for prescribing gentamycin and tobramycin, which are based on a fixed default value, form a source of potential ADEs for patients with renal insufficiency.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16944965     DOI: 10.2165/00002018-200629090-00004

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  18 in total

1.  Adverse events in British hospitals: preliminary retrospective record review.

Authors:  C Vincent; G Neale; M Woloshynowych
Journal:  BMJ       Date:  2001-03-03

2.  Impact of a computerized alert during physician order entry on medication dosing in patients with renal impairment.

Authors:  Michael I Oppenheim; Cristina Vidal; Ferdinand T Velasco; Aurelia G Boyer; Mary Reich Cooper; Joseph G Hayes; William W Frayer
Journal:  Proc AMIA Symp       Date:  2002

Review 3.  The incidence of prescribing errors in hospital inpatients: an overview of the research methods.

Authors:  Bryony Dean Franklin; Charles Vincent; Mike Schachter; Nick Barber
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

4.  High rates of adverse drug events in a highly computerized hospital.

Authors:  Jonathan R Nebeker; Jennifer M Hoffman; Charlene R Weir; Charles L Bennett; John F Hurdle
Journal:  Arch Intern Med       Date:  2005-05-23

5.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

6.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

7.  Evaluation of a computer-assisted antibiotic-dose monitor.

Authors:  R S Evans; S L Pestotnik; D C Classen; J P Burke
Journal:  Ann Pharmacother       Date:  1999-10       Impact factor: 3.154

8.  The Quality in Australian Health Care Study.

Authors:  R M Wilson; W B Runciman; R W Gibberd; B T Harrison; L Newby; J D Hamilton
Journal:  Med J Aust       Date:  1995-11-06       Impact factor: 7.738

9.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 10.  Impact of emerging technologies on medication errors and adverse drug events.

Authors:  Eyal Oren; Ellen R Shaffer; B Joseph Guglielmo
Journal:  Am J Health Syst Pharm       Date:  2003-07-15       Impact factor: 2.980

View more
  17 in total

1.  Detecting pregnancy use of non-hormonal category X medications in electronic medical records.

Authors:  Brian L Strom; Rita Schinnar; Joshua Jones; Warren B Bilker; Mark G Weiner; Sean Hennessy; Charles E Leonard; Peter F Cronholm; Eric Pifer
Journal:  J Am Med Inform Assoc       Date:  2011-11-09       Impact factor: 4.497

Review 2.  Evaluation of outpatient computerized physician medication order entry systems: a systematic review.

Authors:  Saeid Eslami; Ameen Abu-Hanna; Nicolette F de Keizer
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

3.  Medication safety and knowledge-based functions: a stepwise approach against information overload.

Authors:  Andrius Patapovas; Harald Dormann; Brita Sedlmayr; Melanie Kirchner; Anja Sonst; Fabian Müller; Barbara Pfistermeister; Bettina Plank-Kiegele; Renate Vogler; Renke Maas; Manfred Criegee-Rieck; Hans-Ulrich Prokosch; Thomas Bürkle
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

Review 4.  The effect of electronic prescribing on medication errors and adverse drug events: a systematic review.

Authors:  Elske Ammenwerth; Petra Schnell-Inderst; Christof Machan; Uwe Siebert
Journal:  J Am Med Inform Assoc       Date:  2008-06-25       Impact factor: 4.497

5.  Incident reports versus direct observation to identify medication errors and risk factors in hospitalised newborns.

Authors:  David Palmero; Ermindo R Di Paolo; Corinne Stadelmann; André Pannatier; Farshid Sadeghipour; Jean-François Tolsa
Journal:  Eur J Pediatr       Date:  2018-11-21       Impact factor: 3.183

6.  Cognitive analysis of decision support for antibiotic ordering in a neonatal intensive care unit.

Authors:  B Sheehan; D Kaufman; S Bakken; L M Currie
Journal:  Appl Clin Inform       Date:  2012-03-14       Impact factor: 2.342

7.  Effects of clinical decision support on initial dosing and monitoring of tobramycin and amikacin.

Authors:  Zachary L Cox; Cori L Nelsen; Lemuel R Waitman; Jacob A McCoy; Josh F Peterson
Journal:  Am J Health Syst Pharm       Date:  2011-04-01       Impact factor: 2.637

Review 8.  Assessing cardiovascular drug safety for clinical decision-making.

Authors:  Raymond L Woosley; Klaus Romero
Journal:  Nat Rev Cardiol       Date:  2013-04-16       Impact factor: 32.419

9.  Substantial reduction of inappropriate tablet splitting with computerised decision support: a prospective intervention study assessing potential benefit and harm.

Authors:  Renate Quinzler; Simon P W Schmitt; Maria Pritsch; Jens Kaltschmidt; Walter E Haefeli
Journal:  BMC Med Inform Decis Mak       Date:  2009-06-12       Impact factor: 2.796

Review 10.  A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.

Authors:  Clare L Brown; Helen L Mulcaster; Katherine L Triffitt; Dean F Sittig; Joan S Ash; Katie Reygate; Andrew K Husband; David W Bates; Sarah P Slight
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.