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A Pharmacist-Physician Intervention Model Using a Computerized Alert System to Reduce High-Risk Medication Use in
Karolann Arvisais1, Sabrina Bergeron-Wolff, Christine Bouffard
1Faculty of Pharmacy, Université de Montréal, Montréal, QC, Canada.
A pharmacist-physician intervention model effectively reduced high-risk medication use in elderly inpatients. This approach identified vulnerable patients needing geriatric medication review, improving prescription safety.
Area of Science:
- Geriatric Medicine
- Clinical Pharmacy
- Pharmacotherapy
Background:
- Potentially inappropriate medication (PIM) use is a significant challenge in elderly inpatients, often leading to adverse drug events and geriatric syndromes.
- Effective strategies are urgently needed to reduce PIM use and improve medication safety in this population.
Purpose of the Study:
- To evaluate a pharmacist-physician intervention model for reducing high-risk medication use in older inpatients.
- To assess the clinical relevance of alerts from a computerized alert system (CAS) designed to identify PIMs.
Main Methods:
- A pharmacist-physician intervention model was implemented in a teaching hospital for patients aged 65 years and older.
- Pharmacists reviewed CAS alerts, analyzed pharmacotherapy, and developed geriatric pharmacotherapeutic plans for physician discussion.
- The primary outcome was the medication change rate following pharmacist intervention.
Main Results:
- A computerized alert system (CAS) flagged alerts in 4.3% of screened patient-days.
- Over 74% of these alerts were deemed clinically relevant.
- The intervention resulted in a medication change rate of 77.7%, primarily through drug discontinuation and dose reduction.
Conclusions:
- The pharmacist-physician intervention model successfully reduced the use of high-risk medications in elderly inpatients.
- The study highlights that many vulnerable patients identified by CAS alerts would not have received a geriatric medication review without this intervention.
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Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...

