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Assessing Medication Problems in those ≥ 65 Using the STOPP and START Criteria
1Department of Family Medicine, Faculty of Medicine, Health Sciences Centre, 3330 Hospital Drive NW, University of Calgary, Calgary, Alberta, Canada T2N 4N1. rthomas@ucalgary.ca.
Potentially Inappropriate Medications (PIMs) and Potential Prescribing Omissions (PPOs) are prevalent in older adults. This review highlights high rates and identifies key drug classes and conditions requiring attention for improved geriatric pharmacotherapy.
Area of Science:
- Geriatric pharmacotherapy
- Medication safety in older adults
- Evidence-based prescribing
Background:
- Polypharmacy presents a significant challenge for individuals aged 65 and older.
- Identifying and addressing medication-related issues is crucial for this demographic.
Purpose of the Study:
- To summarize the prevalence of Potentially Inappropriate Medications (PIMs) using the STOPP criteria.
- To determine the rates of Potential Prescribing Omissions (PPOs) identified by the START criteria in individuals aged 65 and above.
Main Methods:
- Systematic literature search of databases (Medline, Embase) from 1980 to December 2015.
- Analysis of studies reporting PIMs and PPOs using STOPP/START criteria in diverse geriatric populations.
- Inclusion of data from large national outpatient databases and smaller community, hospital, and nursing home studies.
Main Results:
- High weighted average rates of PIMs (26-59%) and PPOs (24-50%) were observed across different settings (community, hospital, nursing home).
- Common PIMs included benzodiazepines, proton pump inhibitors, NSAIDs, aspirin, and duplicate medications.
- Key PPOs involved omissions of medications for cardiovascular diseases, hypertension, osteoporosis, diabetes, and hyperlipidemia.
Conclusions:
- The prevalence of PIMs and PPOs among older adults is substantial.
- Current STOPP/START criteria rely on expert consensus; future research should focus on evidence-based guidelines and RCTs.
- Further research is needed to validate criteria and assess their impact on reducing medication errors and hospital admissions.
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