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Updated: Feb 8, 2026

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
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Medication Administration Errors: Perceptions of Jordanian Nurses.

Ibrahim Salami1, Maha Subih, Rima Darwish

  • 1School of Nursing, The University of Jordan, Amman, Jordan (Drs Salami, Saleh, Maharmeh, and Alasad); School of Nursing, Al-Zaytoonah University of Jordan, Amman, Jordan (Dr Subih); Ministry of Health, Amman, Jordan (Dr Darwish); The University of Jordan Hospital, Amman, Jordan (Mr Al-Jbarat); and School of Nursing, Al-Israá University, Amman, Jordan (Dr Al-Amer).

Journal of Nursing Care Quality
|July 6, 2018
PubMed
Summary
This summary is machine-generated.

Medication administration errors (MAEs) are common, with wrong time and wrong patient being most frequent. High workload and night shifts significantly contribute to these errors, impacting patient safety.

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Area of Science:

  • Nursing Practice
  • Patient Safety
  • Healthcare Quality

Background:

  • Medication administration errors (MAEs) pose significant risks to patient health.
  • MAEs also negatively affect hospital accreditation and financial stability.

Purpose of the Study:

  • To investigate Jordanian nurses' perspectives on medication administration errors.
  • Understanding these perceptions is crucial for improving medication safety protocols.

Main Methods:

  • A cross-sectional study design was employed.
  • Data were collected from a convenience sample of 470 nurses.

Main Results:

  • The most frequent MAEs identified were administering medication at the wrong time (32.6%) and to the wrong patient (30.5%).
  • Night shifts were associated with 42.9% of MAEs.
  • High workload was identified as the primary contributing factor to MAEs.

Conclusions:

  • Effective quality assurance programs are essential for medication safety in Jordanian healthcare settings.
  • Nursing education must emphasize medication rights and calculation skills.
  • Creating distraction-free medication administration zones is vital to reduce errors.