Impact of integrated medication management program on medication errors in a medical center: an interrupted time

Kuan-Lin Chen1,2, Chih-Fen Hunag2,3, Wang-Huei Sheng4

  • 1Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.

Abstract

Insights

The integrated medication management (IMM) model increased medication error reporting and reduced prescriptions for elderly patients, enhancing patient safety and optimizing medication use.

Area of Science:

  • Pharmacoeconomics
  • Patient Safety
  • Health Services Research

Background:

  • Medication errors (MEs) pose significant risks to hospitalized patients, particularly the elderly.
  • An integrated medication management (IMM) model was implemented to mitigate MEs.
  • The IMM model involves clinical pharmacists in daily ward rounds for medication reconciliation and reviews.

Purpose of the Study:

  • To evaluate the impact of the IMM model on medication errors.
  • To assess the effect of the IMM model on medication utilization.
  • To analyze changes using a quasi-experimental design.

Main Methods:

  • An interrupted time-series study design was employed.
  • Data from two hospital wards (intervention and control) were analyzed over pre- and post-intervention phases (40 and 12 months).
  • Segmented regression analysis assessed changes in ME reports, inpatient prescriptions, self-prepared medications, and medication costs.

Main Results:

  • The IMM model led to a significant increase in ME reports (level change: 1.02, P < 0.001).
  • Increases in ME reports were noted for omissions, discrepancies, inappropriate drug choices, and routes/formulations.
  • A significant reduction in daily inpatient prescriptions was observed for patients aged ≥75 years (level change: -1.78, P = 0.009).

Conclusions:

  • The IMM model enhances patient safety by increasing the reporting of medication errors.
  • The IMM model optimizes medication utilization, particularly in elderly patients.
  • Increased ME reporting signifies improved detection and management of potential patient safety issues.

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