Prospective risk analysis of the anti-infective medication administration process

Ana Elisa Bauer de Camargo Silva1, Silvia Helena De Bortoli Cassiani

  • 1Faculdade de Enfermagem, Universidade Federal de Goiás, Brazil. anaelisa@terra.com.br

Abstract

Insights

This study used Failure Mode and Effect Analysis (FMEA) to identify risks in intravenous anti-infective medication administration. Proactive, low-cost interventions significantly reduced potential patient safety incidents.

Area of Science:

  • Healthcare quality improvement
  • Patient safety research
  • Clinical risk management

Background:

  • Medication administration errors pose significant risks to patient safety.
  • Proactive risk assessment is crucial for preventing adverse events in healthcare settings.

Purpose of the Study:

  • To analyze potential risks in the intravenous anti-infective medication administration process.
  • To identify failure modes, effects, and causes within the process.
  • To recommend interventions for enhancing medication administration safety.

Main Methods:

  • An exploratory study utilizing Failure Mode and Effect Analysis (FMEA).
  • Data collected through 24 meetings (56 hours) with a multidisciplinary team (doctor, nurse, technician, pharmacist, risk manager).
  • Analysis performed using Microsoft Excel and Xfmea4 software.

Main Results:

  • Identified 52 failure modes, 79 effects, and 285 causes related to organizational, human resource, and physical/material factors.
  • Recommended 298 improvement actions for high/average priority causes; 81.9% were short-term.
  • Simulated interventions showed a 79.7% reduction in high-priority failure modes.

Conclusions:

  • The study successfully identified patient risks and proposed rapid, low-cost interventions.
  • Recommended actions positively impacted risk reduction, enhancing medication administration reliability and safety.
  • Nurses play a key role in preventing medication incidents through risk analysis methods.

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