Literature DB >> 17536876

Incidence and nature of medication errors in neonatal intensive care with strategies to improve safety: a review of the current literature.

Indra Chedoe1, Harry A Molendijk, Suzanne T A M Dittrich, Frank G A Jansman, Johannes W Harting, Jacobus R B J Brouwers, Katja Taxis.   

Abstract

Neonates are highly vulnerable to medication errors because of their extensive exposure to medications in the neonatal intensive care unit (NICU), the general lack of evidence on pharmacotherapeutic interventions in neonates and the lack of neonate-specific formulations. We searched PubMed and EMBASE to identify relevant original studies published in the English language. Eleven studies were identified on the frequency of medication errors in the NICU. The highest rate was 5.5 medication errors per 100 prescriptions; however, medication error rates varied widely between studies, partly due to differences in the definition of an error and the rigor of the method used to identify medication errors. Furthermore, studies were difficult to compare because medication error rates were calculated differently. Most studies did not assess the potential clinical impact of the errors. The majority of studies identified dose errors as the most common type of error. Computerised physician order entry and interventions by clinical pharmacists (e.g. the participation of pharmacists in ward rounds and review of patients' prescriptions prior to dispensing) were the most common interventions suggested to improve medication safety in the NICU. However, only very limited data were available on evaluation of the effects of such interventions in NICUs. More research is needed to determine the frequency and types of medication errors in NICUs and to develop evidence-based interventions to improve medication safety in the NICU setting. Some of these research efforts need to be directed to the establishment of clear definitions of medication errors and agreement on the methods that should be used to measure medication error rates and their potential clinical impact.

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Year:  2007        PMID: 17536876     DOI: 10.2165/00002018-200730060-00004

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


  47 in total

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Journal:  Semin Fetal Neonatal Med       Date:  2005-01-25       Impact factor: 3.926

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Journal:  Pediatrics       Date:  2003-05       Impact factor: 7.124

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Review 9.  Incidence and nature of dosing errors in paediatric medications: a systematic review.

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  32 in total

1.  Computerized pharmaceutical algorithm reduces medication administration errors during simulated resuscitations.

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Journal:  J Pediatr Pharmacol Ther       Date:  2010-10

2.  The effect of Computerized Physician Order Entry and decision support system on medication errors in the neonatal ward: experiences from an Iranian teaching hospital.

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5.  Prevalence of Medication Errors Among Paediatric Inpatients: Systematic Review and Meta-Analysis.

Authors:  Peter J Gates; Melissa T Baysari; Madlen Gazarian; Magdalena Z Raban; Sophie Meyerson; Johanna I Westbrook
Journal:  Drug Saf       Date:  2019-11       Impact factor: 5.606

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Authors:  Roberto Antonucci; Annalisa Porcella
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7.  Neonatal adverse drug reactions: an analysis of reports to the French pharmacovigilance database.

Authors:  Florentia Kaguelidou; Frédérique Beau-Salinas; Annie Pierre Jonville-Bera; Evelyne Jacqz-Aigrain
Journal:  Br J Clin Pharmacol       Date:  2016-07-24       Impact factor: 4.335

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Authors:  Karel Allegaert; Johannes N van den Anker
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9.  Quality pharmacy services and key performance indicators in Polish NICUs: a Delphi approach.

Authors:  Natalia Krzyżaniak; Iga Pawłowska; Beata Bajorek
Journal:  Int J Clin Pharm       Date:  2018-03-31

10.  Association between neonatal intensive care unit medication safety practices, adverse events, and death.

Authors:  Laura E Miller; Chris DeRienzo; P Brian Smith; Carl Bose; Reese H Clark; C Michael Cotten; Daniel K Benjamin; Chi D Hornik; Rachel G Greenberg
Journal:  J Perinatol       Date:  2020-10-08       Impact factor: 2.521

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