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Potentially inappropriate medications in the elderly: a comprehensive protocol.
Suzana Mimica Matanović1, Vera Vlahovic-Palcevski
1Clinical Pharmacology Unit, University Hospital Center Osijek, Osijek, Croatia. mimica-matanovic.suzana@kbo.hr
This review introduces a new comprehensive tool to identify potentially inappropriate medications (PIMs) and serious drug-drug interactions in elderly patients. The tool aims to improve prescribing practices and reduce medication-related harm in older adults.
Area of Science:
- Geriatrics
- Pharmacology
- Clinical Pharmacy
Background:
- Elderly patients face a higher risk of drug-related morbidity and mortality.
- Potentially inappropriate medications (PIMs) contribute significantly to adverse drug events in older adults.
- Existing screening tools for PIMs have limitations and varying scopes.
Purpose of the Study:
- To review existing screening tools for PIMs in the elderly.
- To develop a new, comprehensive tool integrating PIMs and drug-drug interactions (DDIs).
- To offer alternative therapeutic solutions for identified medication issues.
Main Methods:
- Systematic review of existing PIM screening tools.
- Integration of established lists (Beers, French consensus, McLeod, Lindblad) with Hanlon's and Malone's lists for DDIs.
- Development of a new protocol categorizing drugs based on benefit/risk, efficacy, and disease-specific contraindications.
Main Results:
- The new tool combines PIMs and potentially serious DDIs into a single protocol.
- It categorizes drugs into those to be avoided, those with questionable efficacy, and those contraindicated with specific conditions.
- Alternative therapeutic options are provided alongside identified PIMs and DDIs.
Conclusions:
- A comprehensive tool integrating PIMs and DDIs enhances the quality assessment of geriatric prescribing.
- This integrated approach can lead to improved medication safety and better prescribing practices in the elderly.
- The developed protocol offers a more holistic approach to medication management in older populations.
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