Literature DB >> 26214511

Frequency and Severity of Parenteral Nutrition Medication Errors at a Large Children's Hospital After Implementation of Electronic Ordering and Compounding.

Mark MacKay1, Collin Anderson2, Sabrina Boehme2, Jared Cash2, Jeffery Zobell3.   

Abstract

INTRODUCTION: The Institute for Safe Medication Practices has stated that parenteral nutrition (PN) is considered a high-risk medication and has the potential of causing harm. Three organizations--American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.), American Society of Health-System Pharmacists, and National Advisory Group--have published guidelines for ordering, transcribing, compounding and administering PN. These national organizations have published data on compliance to the guidelines and the risk of errors. The purpose of this article is to compare total compliance with ordering, transcription, compounding, administration, and error rate with a large pediatric institution.
METHOD: A computerized prescriber order entry (CPOE) program was developed that incorporates dosing with soft and hard stop recommendations and simultaneously eliminating the need for paper transcription. A CPOE team prioritized and identified issues, then developed solutions and integrated innovative CPOE and automated compounding device (ACD) technologies and practice changes to minimize opportunities for medication errors in PN prescription, transcription, preparation, and administration. Thirty developmental processes were identified and integrated in the CPOE program, resulting in practices that were compliant with A.S.P.E.N. safety consensus recommendations. Data from 7 years of development and implementation were analyzed and compared with published literature comparing error, harm rates, and cost reductions to determine if our process showed lower error rates compared with national outcomes.
RESULTS: The CPOE program developed was in total compliance with the A.S.P.E.N. guidelines for PN. The frequency of PN medication errors at our hospital over the 7 years was 230 errors/84,503 PN prescriptions, or 0.27% compared with national data that determined that 74 of 4730 (1.6%) of prescriptions over 1.5 years were associated with a medication error. Errors were categorized by steps in the PN process: prescribing, transcription, preparation, and administration. There were no transcription errors, and most (95%) errors occurred during administration.
CONCLUSION: We conclude that PN practices that conferred a meaningful cost reduction and a lower error rate (2.7/1000 PN) than reported in the literature (15.6/1000 PN) were ascribed to the development and implementation of practices that conform to national PN guidelines and recommendations. Electronic ordering and compounding programs eliminated all transcription and related opportunities for errors.
© 2015 American Society for Parenteral and Enteral Nutrition.

Entities:  

Keywords:  medication errors; nutritional support; parental nutrition solutions; parenteral nutrition; pediatrics; total parenteral nutrition

Mesh:

Substances:

Year:  2015        PMID: 26214511     DOI: 10.1177/0884533615591606

Source DB:  PubMed          Journal:  Nutr Clin Pract        ISSN: 0884-5336            Impact factor:   3.080


  10 in total

1.  Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.

Authors:  Emily M Powers; Richard N Shiffman; Edward R Melnick; Andrew Hickner; Mona Sharifi
Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

2.  Patient Safety Incidents Related to the Use of Parenteral Nutrition in All Patient Groups: A Systematic Scoping Review.

Authors:  Priya Mistry; Rebecca Heather Smith; Andy Fox
Journal:  Drug Saf       Date:  2021-12-21       Impact factor: 5.606

3.  Offering Guidance and Learning to Prescribers to Initiate Parenteral Nutrition using a Validated Electronic Decision TREE (OLIVE TREE).

Authors:  Evelyne Van den Broucke; Barbara Deleenheer; Ann Meulemans; Julie Vanderstappen; Nelle Pauwels; Katrien Cosaert; Isabel Spriet; Hans Van Veer; Roman Vangoitsenhoven; João Sabino; Peter Declercq; Tim Vanuytsel; Charlotte Quintens
Journal:  J Med Syst       Date:  2022-07-09       Impact factor: 4.920

4.  Impact of Computerized Provider Order Entry on Total Parenteral Nutrition in the Neonatal Intensive Care Unit.

Authors:  Kyle A Franco; Keliana O'Mara
Journal:  J Pediatr Pharmacol Ther       Date:  2016 Jul-Aug

Review 5.  Interventions to reduce medication errors in neonatal care: a systematic review.

Authors:  Minh-Nha Rhylie Nguyen; Cassandra Mosel; Luke E Grzeskowiak
Journal:  Ther Adv Drug Saf       Date:  2017-12-28

6.  Incidence and Severity of Prescribing Errors in Parenteral Nutrition for Pediatric Inpatients at a Neonatal and Pediatric Intensive Care Unit.

Authors:  Theresa Hermanspann; Mark Schoberer; Eva Robel-Tillig; Christoph Härtel; Rangmar Goelz; Thorsten Orlikowsky; Albrecht Eisert
Journal:  Front Pediatr       Date:  2017-06-30       Impact factor: 3.418

7.  Call for Decision Support for High-Alert Medication Administration Among Pediatric Nurses: Findings From a Large, Multicenter, Cross-Sectional Survey in China.

Authors:  Mengxue He; Qin Huang; Hong Lu; Ying Gu; Yan Hu; Xiaobo Zhang
Journal:  Front Pharmacol       Date:  2022-07-19       Impact factor: 5.988

8.  [Process for the Implementation of Evidence-Based Parenteral Nutrition in German Perinatal Centres - Outcomes of a Multidisciplinary Network].

Authors:  Julia Hoffmann; Nadja Haiden; Jürgen Babl; Christoph Fusch; Johanna Kostenzer; Brar Piening; Sebastian Schubert; Silke Mader
Journal:  Z Geburtshilfe Neonatol       Date:  2022-03-01       Impact factor: 0.656

Review 9.  The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition.

Authors:  Berkeley N Limketkai; Kasuen Mauldin; Natalie Manitius; Laleh Jalilian; Bradley R Salonen
Journal:  Curr Surg Rep       Date:  2021-06-08

10.  Management of the General Process of Parenteral Nutrition Using mHealth Technologies: Evaluation and Validation Study.

Authors:  Mercedes Cervera Peris; Víctor Manuel Alonso Rorís; Juan Manuel Santos Gago; Luis Álvarez Sabucedo; Carmina Wanden-Berghe; Javier Sanz-Valero
Journal:  JMIR Mhealth Uhealth       Date:  2018-04-03       Impact factor: 4.773

  10 in total

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