Subtopic Deep Dive

Beers Criteria for Potentially Inappropriate Medications
Research Guide

What is Beers Criteria for Potentially Inappropriate Medications?

The Beers Criteria are explicit guidelines identifying potentially inappropriate medications (PIMs) for older adults due to high risks of adverse effects outweighing benefits.

Developed by the American Geriatrics Society, the criteria list drugs and drug classes to avoid or use cautiously in adults aged 65 and older. Studies validate prevalence and impact across settings like long-term care and community dwellings. Over 10 papers from 2004-2022 report PIM rates using Beers Criteria, with citations exceeding 1,300 total.

Curated Papers

Key Challenges

Why It Matters

Beers Criteria guide deprescribing to cut adverse drug events in older adults, reducing hospitalizations from polypharmacy-related issues (Fialová and Onder, 2009). Applied in long-term care, they reveal PIM prevalence up to 40% in Japan (Niwata et al., 2006) and Quebec (Rancourt et al., 2004), informing policy and pharmacist interventions. Educational trials like EMPOWER test reductions in PIM use, impacting geriatric pharmacotherapy globally (Martin et al., 2013).

Key Research Challenges

High PIM Prevalence Variability

PIM rates differ by region and setting, from 30-50% in long-term care (Niwata et al., 2006; Rancourt et al., 2004). Factors like polypharmacy and multimorbidity complicate uniform application (Fialová and Onder, 2009).

Implementation Barriers Post-Discharge

Elderly patients face drug-related problems after hospital discharge, with DRPs rising with drug count (Hugtenburg et al., 2014). Community pharmacists struggle with dementia cases lacking structured support (Maidment et al., 2017).

Measuring PIM Adverse Outcomes

Linking PIMs to adverse drug events in homebound elderly requires large surveys, identifying benzodiazapines as key culprits (Onda et al., 2015). Dementia populations show persistent PIM use across Europe despite criteria (Renom-Guiteras et al., 2017).

Essential Papers

Medication errors in elderly people: contributing factors and future perspectives

Daniela Fialová, Graziano Onder · 2009 · British Journal of Clinical Pharmacology · 189 citations

1. Older people have substantial interindividual variability in health, disability, age‐related changes, polymorbidity, and associated polypharmacy, making generalization of prescribing recommendat...

Prevalence of inappropriate medication using Beers criteria in Japanese long-term care facilities

Satoko Niwata, Yukari Yamada, Naoki Ikegami · 2006 · BMC Geriatrics · 150 citations

Potentially inappropriate prescriptions for older patients in long-term care

Carol Rancourt, Jocelyne Moisan, Lucie Baillargeon et al. · 2004 · BMC Geriatrics · 132 citations

Abstract Background Inappropriate medication use is a major healthcare issue for the elderly population. This study explored the prevalence of potentially inappropriate prescriptions (PIPs) in long...

Identification of drug-related problems of elderly patients discharged from hospital

Jacqueline G. Hugtenburg, Abeer Ahmad, Ruth Mast et al. · 2014 · Patient Preference and Adherence · 104 citations

Following hospital discharge, DRP occur frequently among elderly patients using five or more drugs for the treatment of chronic disease. The number of DRP increased with the number of drugs used. A...

A qualitative study exploring medication management in people with dementia living in the community and the potential role of the community pharmacist

Ian Maidment, Lydia Aston, Tiago Moutela et al. · 2017 · Health Expectations · 93 citations

Abstract Background The prevalence of dementia is increasing rapidly. People with dementia may be prescribed complex medication regimens, which may be challenging for them and any carers involved t...

Potentially inappropriate medication among people with dementia in eight European countries

Anna Renom‐Guiteras, Petra Thürmann, Ramón Miralles et al. · 2017 · Age and Ageing · 91 citations

Abstract Objectives to evaluate the frequency of potentially inappropriate medication (PIM) prescription among older people with dementia (PwD) from eight countries participating in the European st...

Identification and prevalence of adverse drug events caused by potentially inappropriate medication in homebound elderly patients: a retrospective study using a nationwide survey in Japan

Mitsuko Onda, Hirohisa Imai, Yurina Takada et al. · 2015 · BMJ Open · 81 citations

Objectives A nationwide large-scale survey was conducted to identify the prevalence and causal medications of adverse drug events (ADEs) that are caused by potentially inappropriate medications (PI...

Reading Guide

Foundational Papers

Start with Fialová and Onder (2009) for polypharmacy context (189 citations), then Niwata et al. (2006) and Rancourt et al. (2004) for PIM prevalence baselines using Beers Criteria.

Recent Advances

Study Nam et al. (2016) on Korean applications and Cho et al. (2022) for polypharmacy trends over a decade.

Core Methods

Explicit screening of prescriptions against Beers lists; cross-sectional prevalence studies; intervention trials like cluster-randomized EMPOWER (Martin et al., 2013).

How PapersFlow Helps You Research Beers Criteria for Potentially Inappropriate Medications

Discover & Search

Research Agent uses searchPapers and exaSearch to find Beers Criteria studies like 'Prevalence of inappropriate medication using Beers criteria in Japanese long-term care facilities' by Niwata et al. (2006), then citationGraph reveals 150+ citing works on PIM prevalence, while findSimilarPapers uncovers regional adaptations.

Analyze & Verify

Analysis Agent applies readPaperContent to extract PIM rates from Rancourt et al. (2004), verifies claims via verifyResponse (CoVe) against GRADE grading for observational data quality, and runPythonAnalysis computes polypharmacy trends from Hugtenburg et al. (2014) abstracts using pandas for statistical validation.

Synthesize & Write

Synthesis Agent detects gaps in PIM intervention trials post-EMPOWER (Martin et al., 2013), flags contradictions in prevalence across studies, and Writing Agent uses latexEditText, latexSyncCitations, and latexCompile to produce deprescribing guidelines with exportMermaid for PIM decision trees.

Use Cases

"Analyze polypharmacy trends in Beers Criteria papers using Python."

Research Agent → searchPapers('Beers Criteria polypharmacy') → Analysis Agent → runPythonAnalysis(pandas on citation counts from Fialová 2009, Onder data) → matplotlib prevalence plot exported as CSV.

"Draft LaTeX review on PIM in long-term care using Beers Criteria."

Research Agent → citationGraph(Niwata 2006) → Synthesis Agent → gap detection → Writing Agent → latexEditText(draft), latexSyncCitations(10 papers), latexCompile → PDF with figures.

"Find code for Beers Criteria PIM screening tools."

Research Agent → paperExtractUrls(Cho 2022) → Code Discovery → paperFindGithubRepo → githubRepoInspect → validated R scripts for polypharmacy analysis from Korean claims data.

Automated Workflows

Deep Research workflow scans 50+ Beers papers via searchPapers, structures PIM prevalence report with GRADE scores, and exports BibTeX. DeepScan's 7-step chain verifies regional PIM differences (e.g., Japan vs. Korea) with CoVe checkpoints and Python stats. Theorizer generates hypotheses on deprescribing from Fialová (2009) and Martin (2013) intervention data.

Try Doxa for Beers Criteria for Potentially Inappropriate Medications Research

Frequently Asked Questions

What is the definition of Beers Criteria?

Beers Criteria list PIMs for older adults where risks exceed benefits, updated periodically by American Geriatrics Society.

What methods assess PIMs using Beers Criteria?

Cross-sectional surveys in long-term care (Niwata et al., 2006; Rancourt et al., 2004) and post-discharge reviews (Hugtenburg et al., 2014) apply explicit criteria to prescriptions.

What are key papers on Beers Criteria?

Foundational: Fialová and Onder (2009, 189 citations) on errors; Niwata et al. (2006, 150 citations) on Japan prevalence. Recent: Cho et al. (2022, 50 citations) on Korean polypharmacy.

What open problems exist in Beers Criteria research?

Persistent PIM use in dementia despite criteria (Renom-Guiteras et al., 2017); scaling interventions beyond EMPOWER trial (Martin et al., 2013); linking PIMs to outcomes in homebound elderly (Onda et al., 2015).