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Development and evaluation of an algorithm-based tool for Medication Management in nursing homes: the AMBER study
Susanne Erzkamp1, Olaf Rose1,2
1Elefanten-Apotheke, gegr. 1575, Steinfurt, Germany.
BMJ Open
|April 22, 2018
Summary
This study developed an algorithm-based tool to improve medication reviews in nursing homes, aiming to reduce drug-related problems and enhance patient care quality. The tool
Area of Science:
- Gerontology
- Clinical Pharmacy
- Health Services Research
Background:
- Nursing home residents face significant medication-related risks.
- Medication Reviews (MR) improve clinical outcomes but face resource and inter-professional barriers.
- Targeting frequent problems aids pharmacists in delivering pharmaceutical care.
Purpose of the Study:
- To develop and evaluate an algorithm-based tool for Medication Management in clinical practice.
- To facilitate effective Medication Reviews in nursing homes.
- To reduce drug-related problems (DRPs) in this vulnerable population.
Main Methods:
- A mixed-methods approach across three phases: qualitative interviews, systematic literature review, and Delphi survey.
- Algorithm development integrating findings from phases I and II.
- Phase III involves testing the tool in nursing homes, assessing effectiveness, acceptance, feasibility, and reproducibility.
Main Results:
- The primary outcome is the reduction of drug-related problems (DRPs) detected by the tool.
- Secondary outcomes include the proportion of DRPs, acceptance of recommendations, time expenditure, and inter-rater reliability.
- The study aims to create a practical tool for clinical use.
Conclusions:
- An algorithm-based tool can support pharmacists in conducting Medication Reviews.
- The developed tool aims to improve medication safety and quality of care in nursing homes.
- Successful implementation can lead to reduced drug-related problems and better patient outcomes.
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