Applying MAC-F Method for Causes Analysis of the Proven Medication Error in a Moroccan Hospital Cover Image

Applying MAC-F Method for Causes Analysis of the Proven Medication Error in a Moroccan Hospital
Applying MAC-F Method for Causes Analysis of the Proven Medication Error in a Moroccan Hospital

Author(s): Souad Filali El Ghorfi
Subject(s): Economy, Socio-Economic Research
Published by: EDITURA ASE
Keywords: analysis method; medication error; overall reliability; risk management;

Summary/Abstract: Medication error (ME) is a serious problem of public health. Difficulties related to the management of this error are numerous. Each stage of this process suffers from several flaws: identification, root causes analysis and improvementThis paper focuses on root cause analysis of medication error. We developed an original semi-quantitative method named “MAC-F (Méthode d’Analyse des Causes basée sur la Fiabilité globale, in French). It’s specific to the hospital context and constitutes a decision-making tool for professional of care. It based on a rigorous theoretical and conceptual framework (human reliability theory and high reliability organization theory). We used our method MAC F to analyze serious proven medication errors. They have been collected over the past six months (from January to June 2020) in Moroccan hospital. The reliability matrix shows that the overall reliability index is very low (Ω= 0,07). Moroccan hospital is therefore unreliable. The failure of the organizational system (Ω CF= 0,03) and the absence of preventive strategies (ΩIF= 0) don’t help practitioners to recover the medication errors (ΩSF= 0,23). Root cause analysis is the most critical step in managing medication errors. Our aim is to provide healthcare professionals with a decision support tool “MAC-F” that we believe will help them to prevent Medication Errors and to achieve overall reliability (reliable organization and practitioner). Our method was tested in a Belgian hospital before and Moroccan hospital recently.

  • Issue Year: 5/2020
  • Issue No: 2
  • Page Range: 255-277
  • Page Count: 23
  • Language: English