Reducing Pediatric Emergency Department Prescription Errors

Author:

Devarajan Veena1,Nadeau Nicole L.2,Creedon Jessica K.34,Dribin Timothy E.56,Lin Margaret7,Hirsch Alexander W.34,Neal Jeffrey T.34,Stewart Amanda34,Popovsky Erica89,Levitt Danielle10,Hoffmann Jennifer A.89,Lee Michael34,Perron Catherine34,Shah Dhara11,Eisenberg Matthew A.34,Hudgins Joel D.34

Affiliation:

1. aDivision of Emergency Medicine, Seattle Children’s Hospital, Seattle, Washington

2. bDivision of Pediatric Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts

3. cDepartments of Pediatrics and Emergency Medicine, Harvard Medical School, Boston, Massachusetts

4. dBoston Children’s Hospital, Boston, Massachusetts

5. eDivision of Emergency Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio

6. fDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio

7. gDepartment of Emergency Medicine and Pediatrics, University of California, San Francisco, California

8. hDivision of Emergency Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois

9. iDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois

10. jDivision of Emergency and Transport, Children's Hospital Los Angeles, Los Angeles, California

11. kDepartment of Pharmacy, Boston Children's Hospital, Boston, Massachusetts

Abstract

BACKGROUND Prescription errors are a significant cause of iatrogenic harm in the health care system. Pediatric emergency department (ED) patients are particularly vulnerable to error. We sought to decrease prescription errors in an academic pediatric ED by 20% over a 24-month period by implementing identified national best practice guidelines. METHODS From 2017 to 2019, a multidisciplinary, fellow-driven quality improvement (QI) project was conducted using the Model for Improvement. Four key drivers were identified including simplifying the electronic order entry into prescription folders, improving knowledge of dosing by indication, increasing error feedback to prescribers, and creating awareness of common prescription pitfalls. Four interventions were subsequently implemented. Outcome measures included prescription errors per 1000 prescriptions written for all medications and top 10 error-prone antibiotics. Process measures included provider awareness and use of prescription folders; the balancing measure was provider satisfaction. Differences in outcome measures were assessed by statistical process control methodology. Process and balancing measures were analyzed using 1-way analysis of variance and χ2 testing. RESULTS Before our interventions, 8.6 errors per 1000 prescriptions written were identified, with 62% of errors from the top 10 most error-prone antibiotics. After interventions, error rate per 1000 prescriptions decreased from 8.6 to 4.5 overall and from 20.1 to 8.8 for top 10 error-prone antibiotics. Provider awareness of prescription folders was significantly increased. CONCLUSION QI efforts to implement previously defined best practices, including simplifying and standardizing computerized provider order entry (CPOE), significantly reduced prescription errors. Synergistic effect of educational and technological efforts likely contributed to the measured improvement.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology and Child Health

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