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Streamlining the quality assessment in medication reviews: a biased random sampling approach using BRANT-MERQS

Eline Tobback1, Maja Brumer1, Anneleen Robberechts1,2

  • 1Laboratory of Physiopharmacology, University of Antwerp, Antwerp, Belgium.

International Journal of Clinical Pharmacy
|March 27, 2025
PubMed
Abstract

Insights

A streamlined Medication Review type 3 (MR3) quality assessment was developed. A 10-criteria biased subsample of the BRANT-MERQS tool provides reliable and efficient quality scoring for patient treatment optimization.

Area of Science:

  • Clinical Pharmacy
  • Quality Improvement
  • Medication Management

Background:

  • Medication Review type 3 (MR3) is a comprehensive clinical service for optimizing patient treatment.
  • The BRussels ANTwerp Medication Review Quality score (BRANT-MERQS) assesses MR3 quality using 49 criteria.
  • Current assessment methods are laborious and time-intensive, requiring a more efficient approach.

Purpose of the Study:

  • To develop a reliable and more efficient scoring system for evaluating MR3 quality.
  • To streamline the assessment process while maintaining accuracy.

Main Methods:

  • A random, weighted subset of BRANT-MERQS criteria was used in repeated testing.
  • Weighting was based on the pre-assessed importance of each criterion.
  • Determined the necessary subsample size for accurate quality scores.

Main Results:

  • A 10-criteria random subsample reliably yielded accurate MR3 quality scores.
  • A biased sampling approach (5-3-1 ratio) demonstrated improvements over unbiased sampling.
  • The optimized subset represents one-third of the full assessment.

Conclusions:

  • A more efficient MR3 quality evaluation tool was developed using a subset of the BRANT-MERQS criteria.
  • The 10-criteria biased subsample ensures both time efficiency and consistency in quality assessment.
  • This method optimizes patient treatment through effective medication review.
Keywords:
BRANT-MERQSCriteria weightingMedication reviewMedication review toolsQuality assessmentTime-efficient

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