ArticleRisk management and healthcare policy2022
Assessment of Potentially Inappropriate Medications Using the EU (7)-PIM List, in a Sample of Portuguese Older Adults' Residents in Nursing Homes.
Article in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Medication literacy among community-dwelling older adults in Shenzhen: a 2024 cross-sectional survey with psychometric evidence.Frontiers in public health · 2026Article
- Potentially inappropriate medication use by TIME criteria in nursing home residents and its relationship with common geriatric syndromes.European geriatric medicine · 2025Observational
- Potentially Inappropriate Medications and Drug-Drug Interactions in Geriatrics Cardiac Patients Visiting to Tertiary Care Central Hospital of Nepal.Aging medicine (Milton (N.S.W)) · 2025Article
- Potentially Inappropriate Medication: A Pilot Study in Institutionalized Older Adults.Healthcare (Basel, Switzerland) · 2024Article
- Comparing AGS Beers 2019, STOPP version 2, and EU(7)-PIM list in Portuguese older adults in primary health care.European journal of clinical pharmacology · 2024Article
- Potentially inappropriate medications with older people in intensive care and associated factors: a historic cohort study.Sao Paulo medical journal = Revista paulista de medicina · 2023Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abstract: Prescription of potentially inappropriate medication (PIM) in older adults is associated with poor clinical outcomes. The EU (7)-PIM list was created for the European market to improve pharmacotherapy in older adults. Purpose: This work aims to characterize the medication profile and assess the presence of PIM, using the EU (7)-PIM list in older adults' residents at nursing homes. Methods: Retrospective data were collected from the anonymized nursing home records. After PIM identification, a descriptive analysis was performed, and a generalized linear model for dependent negative binomial-type variables was constructed to assess the risk of PIM. Results: Of the 210 participants (mean age 85.10), 82.40% were polymedicated. PIM was observed in 86.4% participants (mean per patient = 2.30± 0.10). The most common PIM were proton pump inhibitors (n = 121, 57.62%), followed by anxiolytics (n = 96, 45.71%). 64.30% of all patients take 2-4 PIM and 5.80% take five or more PIM. The occurrence of PIM is influenced by the number of prescribed medicines (RR 1.14; 95% CI 1.1.-1.17) and the presence of digestive system diseases (RR 1.05; 95% CI 1.0-1.09). Conclusion: The high prevalence of PIM observations highlights the necessity of the implementation of guidelines to prevent PIM.
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