Literature DB >> 32375194

The Impact of Technology on Prescribing Errors in Pediatric Intensive Care: A Before and After Study.

Moninne M Howlett1,2,3, Eileen Butler1, Karen M Lavelle1, Brian J Cleary2,4, Cormac V Breatnach1.   

Abstract

BACKGROUND: Increased use of health information technology (HIT) has been advocated as a medication error reduction strategy. Evidence of its benefits in the pediatric setting remains limited. In 2012, electronic prescribing (ICCA, Philips, United Kingdom) and standard concentration infusions (SCIs)-facilitated by smart-pump technology-were introduced into the pediatric intensive care unit (PICU) of an Irish tertiary-care pediatric hospital.
OBJECTIVE: The aim of this study is to assess the impact of the new technology on the rate and severity of PICU prescribing errors and identify technology-generated errors.
METHODS: A retrospective, before and after study design, was employed. Medication orders were reviewed over 24 weeks distributed across four time periods: preimplementation (Epoch 1); postimplementation of SCIs (Epoch 2); immediate postimplementation of electronic prescribing (Epoch 3); and 1 year postimplementation (Epoch 4). Only orders reviewed by a clinical pharmacist were included. Prespecified definitions, multidisciplinary consensus and validated grading methods were utilized.
RESULTS: A total of 3,356 medication orders for 288 patients were included. Overall error rates were similar in Epoch 1 and 4 (10.2 vs. 9.8%; p = 0.8), but error types differed (p < 0.001). Incomplete and wrong unit errors were eradicated; duplicate orders increased. Dosing errors remained most common. A total of 27% of postimplementation errors were technology-generated. Implementation of SCIs alone was associated with significant reductions in infusion-related prescribing errors (29.0% [Epoch 1] to 14.6% [Epoch 2]; p < 0.001). Further reductions (8.4% [Epoch 4]) were identified after implementation of electronically generated infusion orders. Non-infusion error severity was unchanged (p = 0.13); fewer infusion errors reached the patient (p < 0.01). No errors causing harm were identified.
CONCLUSION: The limitations of electronic prescribing in reducing overall prescribing errors in PICU have been demonstrated. The replacement of weight-based infusions with SCIs was associated with significant reductions in infusion prescribing errors. Technology-generated errors were common, highlighting the need for on-going research on HIT implementation in pediatric settings. Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2020        PMID: 32375194      PMCID: PMC7202919          DOI: 10.1055/s-0040-1709508

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  43 in total

1.  The rule of six: calculating intravenous infusions in a pediatric crisis situation.

Authors:  P A McLeroy
Journal:  Hosp Pharm       Date:  1994-10

2.  What constitutes a prescribing error in paediatrics?

Authors:  M A Ghaleb; N Barber; B Dean Franklin; I C K Wong
Journal:  Qual Saf Health Care       Date:  2005-10

3.  Evaluating the safety and efficiency of a CPOE system for continuous medication infusions in a pediatric ICU.

Authors:  Vinay Vaidya; Azizeh K Sowan; Mary Etta Mills; Karen Soeken; Mohamed Gaffoor; Elora Hilmas
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  A clinical information system reduces medication errors in paediatric intensive care.

Authors:  Catherine Warrick; Hetal Naik; Susan Avis; Penny Fletcher; Bryony Dean Franklin; David Inwald
Journal:  Intensive Care Med       Date:  2011-02-02       Impact factor: 17.440

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.  Evaluating the Impact of Health IT on Medication Safety.

Authors:  Hanna M Seidling; David W Bates
Journal:  Stud Health Technol Inform       Date:  2016

7.  Case Not Closed: Prescription Errors 12 Years after Computerized Physician Order Entry Implementation.

Authors:  Gili Kadmon; Michal Pinchover; Avichai Weissbach; Shirley Kogan Hazan; Elhanan Nahum
Journal:  J Pediatr       Date:  2017-11       Impact factor: 4.406

Review 8.  Prevalence of computerized physician order entry systems-related medication prescription errors: A systematic review.

Authors:  Virginie Korb-Savoldelli; Abdelali Boussadi; Pierre Durieux; Brigitte Sabatier
Journal:  Int J Med Inform       Date:  2017-12-28       Impact factor: 4.046

9.  The Prevalence of Dose Errors Among Paediatric Patients in Hospital Wards with and without Health Information Technology: A Systematic Review and Meta-Analysis.

Authors:  Peter J Gates; Sophie A Meyerson; Melissa T Baysari; Johanna I Westbrook
Journal:  Drug Saf       Date:  2019-01       Impact factor: 5.606

10.  Computerized order entry with limited decision support to prevent prescription errors in a PICU.

Authors:  Gili Kadmon; Efrat Bron-Harlev; Elhanan Nahum; Ofer Schiller; Gali Haski; Tommy Shonfeld
Journal:  Pediatrics       Date:  2009-08-10       Impact factor: 7.124

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  5 in total

1.  Direct Observational Study of Interfaced Smart-Pumps in Pediatric Intensive Care.

Authors:  Moninne M Howlett; Cormac V Breatnach; Erika Brereton; Brian J Cleary
Journal:  Appl Clin Inform       Date:  2020-10-07       Impact factor: 2.342

2.  Development and Evaluation of an Intravenous Infusion Sequence Annotation System.

Authors:  Ji Qiu; Tingting Deng; Zhuo Wang; Zhangwei Yang; Ting Liu; Yunjie Liu; Rui Li; Fu Dai
Journal:  Appl Clin Inform       Date:  2021-02-03       Impact factor: 2.342

3.  Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis.

Authors:  Denny Yu; Marian Obuseh; Poching DeLaurentis
Journal:  Appl Clin Inform       Date:  2021-06-30       Impact factor: 2.762

4.  The impact of health information technology on prescribing errors in hospitals: a systematic review and behaviour change technique analysis.

Authors:  Joan Devin; Brian J Cleary; Shane Cullinan
Journal:  Syst Rev       Date:  2020-12-03

5.  A modified Delphi to define drug dosing errors in pediatric critical care.

Authors:  Nadia Roumeliotis; Eleanor Pullenayegum; Paula Rochon; Anna Taddio; Chris Parshuram
Journal:  BMC Pediatr       Date:  2020-10-21       Impact factor: 2.125

  5 in total

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