Methods Inf Med 2020; 59(04/05): 140-150
DOI: 10.1055/s-0040-1721424
Original Article

Impact of Computerized Prescription on Medication Errors and Workflow Efficiency in Neonatal Intensive Care Units: A Quasi-Experimental Three-Phase Study

Amirah Daher
1   Division of Pediatric Intensive Care, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan
,
Eman F. Badran
2   Division of Perinatal-Neonatal Medicine, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan
,
Manar Al-Lawama
2   Division of Perinatal-Neonatal Medicine, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan
,
Anas Al-Taee
2   Division of Perinatal-Neonatal Medicine, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan
,
Layla Makahleh
2   Division of Perinatal-Neonatal Medicine, Department of Pediatrics, School of Medicine, The University of Jordan, Amman, Jordan
,
Mohammad Jabaiti
3   Department of Orthopedics, School of Medicine, The University of Jordan, Amman, Jordan
,
Amer Murtaji
4   Department of Biopharmaceutics & Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
,
Abla Bsou
4   Department of Biopharmaceutics & Clinical Pharmacy, School of Pharmacy, The University of Jordan, Amman, Jordan
,
Haneen Salah
5   Department of Pharmacy, Jordan University Hospital, Amman, Jordan
,
Asma Tanash
5   Department of Pharmacy, Jordan University Hospital, Amman, Jordan
,
Majid Al-Taee
6   Department of Electrical Engineering and Electronics, School of Electrical Engineering, Electronics and Computer Science, University of Liverpool, Liverpool, United Kingdom
› Author Affiliations
Funding The work was supported by the University of Jordan (Reference Grant number 28/2015-2016).

Abstract

Background Neonates are highly vulnerable to preventable medication errors due to their extensive exposure to medications in the neonatal intensive care units (NICUs). These errors, which can be made by medical, nursing, or pharmacy personnel, are costly and can be life-threatening. This study aimed to investigate the newly developed computerized neonatal pharmaceutical health care system (NPHCS) in terms of its ability to (1) minimize neonatal medication prescription errors (NMPEs) and (2) improve workflow efficiency compared with the traditional manual prescribing approach.

Methods A computerized neonatal medication prescription system was designed, developed, and tested successfully through a pilot clinical trial for over 6 months in 100 neonates. A three phase quasi-experimental study was then conducted using standardized monitoring checklists for the assessment of NMPEs before and after utilization of the developed prescribing system.

Results The obtained result showed a high rate of NMPEs in both systems, especially for the antibiotic drug group. However, the use of newly developed NPHCS significantly improved workflow efficacy. The identified errors were significantly more common in the manual mode than in the computerized mode (158.8 vs. 55 per 100 medications). These errors were distributed among different categories, including the documentation of patient identity, birth weight, and gestational age, as well as statements of dose, unit, interval, and diagnosis. Analysis of variance across different categories showed a p-value of <0.05.

Conclusion The use of the computerized NPHCS improved patient safety in NICUs by decreasing NMPEs. It also significantly reduced the time required for dose calculation, prescription generation, and electronic documentation of medical records, compared with the traditional handwritten approach.

Note

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


Ethical Approval

The study protocol was approved by the Institutional Review Board Blind (Ref: Blind). The relevant procedures were carried in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) as well as with the principles of Good Clinical Practice issued by the Declaration of Helsinki (2004, Tokyo) and its later amendments. Informed consent was obtained from the participants' parents before inclusion in the study.


Authors' Contributions

E.F.B. conceived the presented idea and supervised the project. E.F.B., A.B., A.D., M.A.-L., L.M., A.M., and A.T. planned the project. M.A.-T. supervised and participated in the design and development of the technical aspects of the developed NPHCS. A.M. and A.T. designed the research tools. H.S. and A.T. reviewed the NMPE of the pre-CPOE part. A.A.-T. helped with project supervision and training the health care professionals. A.A.-T. and M.J. carried out the project and contributed to the interpretation of the results. E.B., A.A.-T., and M.A.-T. took the lead in writing the manuscript. All authors provided critical feedback, participated in the research and analysis, and contributed to the final manuscript.




Publication History

Received: 12 March 2020

Accepted: 09 October 2020

Article published online:
12 January 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Gouyon B, Iacobelli S, Saliba E. et al. A Computer Prescribing Order Entry-Clinical Decision Support system designed for neonatal care: results of the ‘preselected prescription’ concept at the bedside. J Clin Pharm Ther 2017; 42 (01) 64-68
  • 2 van Rosse F, Maat B, Rademaker CMA, van Vught AJ, Egberts ACG, Bollen CW. The effect of computerized physician order entry on medication prescription errors and clinical outcome in pediatric and intensive care: a systematic review. Pediatrics 2009; 123 (04) 1184-1190
  • 3 Aronson JK. Medication errors: definitions and classification. Br J Clin Pharmacol 2009; 67 (06) 599-604
  • 4 Chedoe I, Molendijk HA, Dittrich ST. et al. Incidence and nature of medication errors in neonatal intensive care with strategies to improve safety: a review of the current literature. Drug Saf 2007; 30 (06) 503-513
  • 5 Suresh G, Horbar JD, Plsek P. et al. Voluntary anonymous reporting of medical errors for neonatal intensive care. Pediatrics 2004; 113 (06) 1609-1618
  • 6 Gray JE, Goldmann DA. Archives of Disease in Childhood—Fetal and Neonatal Edition. Medication errors in the neonatal intensive care unit: special patients, unique issues. Arch Dis Child Fetal Neonatal Ed 2004; 89 (06) F472-F473
  • 7 Kunac DL, Reith DM. Preventable medication-related events in hospitalised children in New Zealand. N Z Med J 2008; 121 (1272): 17-32
  • 8 Leape LL, Brennan TA, Laird N. et al. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. N Engl J Med 1991; 324 (06) 377-384
  • 9 Kaushal R, Bates DW, Landrigan C. et al. Medication errors and adverse drug events in pediatric inpatients. JAMA 2001; 285 (16) 2114-2120
  • 10 Cloherty JP, Eichenwald EC, Stark AR. Manual of Neonatal Care. 6th ed.. Philadelphia: Lippincott Williams and Wilkins; 2010
  • 11 Bates DW, Cullen DJ, Laird N. et al. ADE Prevention Study Group. Incidence of adverse drug events and potential adverse drug events. Implications for prevention. JAMA 1995; 274 (01) 29-34
  • 12 Stucky ER. American Academy of Pediatrics Committee on Drugs, American Academy of Pediatrics Committee on Hospital Care. Prevention of medication errors in the pediatric inpatient setting. Pediatrics 2003; 112 (02) 431-436
  • 13 Khanna R, Yen T. Computerized physician order entry: promise, perils, and experience. Neurohospitalist 2014; 4 (01) 26-33
  • 14 Li Q, Kirkendall ES, Hall ES. et al. Automated detection of medication administration errors in neonatal intensive care. J Biomed Inform 2015; 57: 124-133
  • 15 Kazemi A, Ellenius J, Pourasghar F. et al. The effect of Computerized Physician Order Entry and decision support system on medication errors in the neonatal ward: experiences from an Iranian teaching hospital. J Med Syst 2011; 35 (01) 25-37
  • 16 Al-Taee MA, Zayed AZ, Abood SN, Al-Ani MA, Al-Taee AM, Hassani HA. Mobile-based interpreter of arterial blood gases using knowledge-based expert system. International Journal of Pervasive Computing and Communications, Emerald 2013; 9 (03) 270-288
  • 17 Vardi A, Efrati O, Levin I. et al. Prevention of potential errors in resuscitation medications orders by means of a computerised physician order entry in paediatric critical care. Resuscitation 2007; 73 (03) 400-406
  • 18 Kahn S, Abramson EL. What is new in paediatric medication safety?. Arch Dis Child 2019; 104 (06) 596-599
  • 19 Melton KR, Ni Y, Tubbs-Cooley HL, Walsh KE. Using health information technology to improve safety in neonatal care: a systematic review of the literature. Clin Perinatol 2017; 44 (03) 583-616
  • 20 Harvey G, Kitson A. PARIHS revisited: from heuristic to integrated framework for the successful implementation of knowledge into practice. Implement Sci 2016; 11: 33
  • 21 Holdsworth MT, Fichtl RE, Raisch DW. et al. Impact of computerized prescriber order entry on the incidence of adverse drug events in pediatric inpatients. Pediatrics 2007; 120 (05) 1058-1066
  • 22 Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 2003; 163 (12) 1409-1416
  • 23 Velo GP, Minuz P. Medication errors: prescribing faults and prescription errors. Br J Clin Pharmacol 2009; 67 (06) 624-628
  • 24 IBM Watson Health, Neofax and Pediatrics User Guide. 2018 . Available at: http://neofax.micromedexsolutions.com/neofax/manual/NeoFax_Pediatrics_Online.pdf. Accessed March 20, 2019
  • 25 Kahl L, Hughes H. Harriet Lane Handbook. 21st ed.. Elsevier; 2018
  • 26 Murtaja A, Tanash A, Albsoul-Younes A, Badran E, Allawama M. Guidelines for the preparation and administration of medications in neonatal intensive care unit. 2015
  • 27 World Health Organization (WHO). Medication Errors: Technical Series on Safer Primary Care. 2016 [Internet]. [cited 2019 Mar 8]. https://www.researchgate.net/publication/311733754_Medication_Errors_Technical_Series_on_Safer_Primary_Care_Geneva_World_Health_Organization_2016_Licence_CC_BY-NC-SA_30_IGO
  • 28 Nguyen MR, Mosel C, Grzeskowiak LE. Interventions to reduce medication errors in neonatal care: a systematic review. Ther Adv Drug Saf 2018; 9 (02) 123-155
  • 29 Lainer M, Mann E, Sönnichsen A. Information technology interventions to improve medication safety in primary care: a systematic review. Int J Qual Health Care 2013; 25 (05) 590-598
  • 30 Alsulaiman K, Aljeraisy M, Alharbi S, Alsulaihim I, Almolaiki M, Alammari M. Evaluation of prescribing medication errors in a pediatric outpatient pharmacy. Int J Med Sci Public Health 2017; 6: 1588-1593
  • 31 Myers TF, Venable HH, Hansen JA. NICU Clinical Effectiveness Task Force. Computer-enhanced neonatology practice evolution in an academic medical center. J Perinatol 1998; 18 (6 Pt 2 Su): S38-S44
  • 32 Maat B, Rademaker CM, Oostveen MI, Krediet TG, Egberts TC, Bollen CW. The effect of a computerized prescribing and calculating system on hypo- and hyperglycemias and on prescribing time efficiency in neonatal intensive care patients. JPEN J Parenter Enteral Nutr 2013; 37 (01) 85-91
  • 33 Krzyzaniak N, Bajorek B. Medication safety in neonatal care: a review of medication errors among neonates. Ther Adv Drug Saf 2016; 7 (03) 102-119
  • 34 Frey B, Buettiker V, Hug MI. et al. Does critical incident reporting contribute to medication error prevention?. Eur J Pediatr 2002; 161 (11) 594-599
  • 35 Stavroudis TA, Miller MR, Lehmann CU. Medication errors in neonates. Clin Perinatol 2008; 35 (01) 141-161 , ix
  • 36 Abboud PA, Ancheta R, McKibben M, Jacobs BR. Clinical Informatics Outcomes Research Group. Impact of workflow-integrated corollary orders on aminoglycoside monitoring in children. Health Informatics J 2006; 12 (03) 187-198
  • 37 Ross LM, Wallace J, Paton JY. Medication errors in a paediatric teaching hospital in the UK: five years operational experience. Arch Dis Child 2000; 83 (06) 492-497