[Medication reconciliation errors according to patient risk and type of physician prescriber identified by

Cristina Bilbao Gómez-Martino1, Ángel Nieto Sánchez2, Cristina Fernández Pérez3

  • 1Servicio de Farmacia, Hospital Clínico San Carlos, Madrid, España.

Abstract

Insights

High rates of medication reconciliation errors (MREs) occur in hospitalized patients. Patients on polypharmacy and those under 80 with multiple chronic conditions face the greatest risk of MREs.

Area of Science:

  • Clinical Pharmacy
  • Patient Safety
  • Healthcare Quality Improvement

Background:

  • Medication reconciliation errors (MREs) are a significant concern in hospitalized patients, impacting patient safety.
  • Understanding the frequency and risk factors for MREs is crucial for developing targeted interventions.

Purpose of the Study:

  • To determine the incidence of MREs in hospitalized patients.
  • To identify patient profiles at higher risk for MREs.
  • To compare MRE rates between emergency and ward physicians using different prescribing tools.

Main Methods:

  • A prospective, cross-sectional study involving 148 hospitalized patients across medical, geriatric, and oncology wards.
  • Data collection over 6 months, with a pharmacist performing medication reconciliation.
  • Analysis of MREs for associations with risk factors and prescriber type (emergency vs. ward physicians).

Main Results:

  • A high prevalence of MREs was observed, with 113 (76.4%) of patients experiencing at least one error.
  • A total of 303 MREs were identified across the study sample.
  • Polypharmacy (OR, 3.4) and multiple chronic conditions in patients under 80 (OR, 3.9) were significant risk factors for MREs.

Conclusions:

  • The incidence of MREs remains high, irrespective of the prescriber's specialty (emergency vs. ward physician).
  • Patients utilizing polypharmacy and those under 80 with multiple chronic conditions are at elevated risk.
  • These findings highlight the need for enhanced medication safety protocols for at-risk patient populations.

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