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Record W1990321253 · doi:10.1177/1715163513499530

Reducing polypharmacy in the elderly

2013· article· en· W1990321253 on OpenAlexaffvenueabout
Barbara Farrell, Salima Shamji, Anne Monahan, Véronique French Merkley

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2013
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsBruyèreUniversity of Ottawa
Fundersnot available
KeywordsPolypharmacyMedicineIntensive care medicine

Abstract

fetched live from OpenAlex

Why is it so hard to stop medications? Pharmacists see it all the time—elderly patients taking 15, 20, sometimes 25 medications. Pill burden can be as high as 60 doses per day. Patients are unsure of the reasons for medications, take them haphazardly and often have other medications added to treat side effects. They tell us they hate taking these drugs. Family doctors express frustration, sometimes inheriting an elderly patient with little medication history and struggling to keep up with changes made during multiple hospital admissions or specialist visits. They feel pressured by various clinical guidelines to start medications, aren’t sure what a patient is actually taking, may have difficulty distinguishing symptoms from side effects, but don’t have a ready-made solution to the problem.1 Polypharmacy is variously defined as high numbers of medications (e.g., more than 5-10), use of more drugs than clinically indicated or use of inappropriate medications. In 2009, 63% of Canadian seniors were taking more than 5 medications, and 30% of those older than 85 years were taking more than 10. The prevalence is even higher for those living in long-term care.2 The impact of polypharmacy on our elderly population is significant. It is associated with poor adherence, drug-drug interactions, medication errors and adverse drug reactions—including falls, hip fractures, confusion and delirium—accounting for a significant percentage of potentially preventable emergency room visits and hospitalization.3,4 But interventions to reduce medication use are not consistently used. There are consensus-developed screening criteria for inappropriate medications, as well as algorithms and acronyms to help health care professionals conduct medication reviews to identify drug-related problems.5 However, there is little guidance with regard to how to implement suggested changes to reduce medication use. Many prescribers are reluctant to make such changes, often fearing adverse drug withdrawal events,6 and say they do not want to “rock the boat.” In the Geriatric Day Hospital of Bruyere Continuing Care, our elderly patients often have multiple issues such as cognitive impairment, falls, pain and deconditioning. They attend twice weekly for functional assessment and rehabilitation with an interprofessional team. Patients referred for medication review are typically taking 15 medications per day and have an average of 9 drug-related problems.7 We see prescribing cascades (in which a medication has been started to treat a side effect of another medication) and adverse effects of drugs on multiple systems, including hypotension, impaired cognition and balance problems. One by one, over a 10- to 12-week admission, we taper and stop those medications for which we have little evidence for continued use and those that might be contributing to adverse effects. We focus on reducing pill burden, facilitating independent medication management, furthering knowledge and understanding of medication use and communicating changes clearly. The outcome can be amazing. We’ve seen patients demonstrate significant improvement in symptoms with reduction in medication. Frustrated with the never-ending supply of patients suffering with polypharmacy, and the lack of broadly implemented clinical guidance to reduce polypharmacy, we have developed a series of case reports about polypharmacy in the elderly that demonstrate the strategies we employ to reduce medication use in our patients. Identifying drug-related problems, prioritizing them, using tapering approaches, monitoring for adverse drug-withdrawal events, reducing pill burden and appropriately using compliance strategies are demonstrated throughout these cases. As an interprofessional team, each member plays a role in helping to reduce medication use and monitor the effects. We have therefore designed the case reports so they can be used for interprofessional education in geriatric pharmacotherapy. The series is planned for the Canadian Pharmacists Journal, Canadian Family Physician and the Canadian Medical Association Journal. Each case will link to online resources to facilitate interprofessional discussion. We hope pharmacists and other health care professionals will find the strategies in this series supportive of their own efforts to reduce polypharmacy. With recent regulatory and remuneration changes, pharmacists are even better placed to actively participate in optimizing therapy in the elderly.8 We hope those who develop clinical guidelines will take note and consider how they might include “deprescribing” guidelines to further support tapering and stopping of medications when evidence is limited or when pharmacokinetic and pharmacodynamic parameters affecting medication distribution and effectiveness change with age.8 We’d like to thank the Bruyere Academic Medical Organization for its support, our colleagues in the Geriatric Day Hospital of Bruyere Continuing Care for their collaboration and our patients who willingly work with us to taper their medications, particularly the many patients who enthusiastically agreed to share their stories. We hope you enjoy the series and welcome your comments and feedback. ■

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.344
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations29
Published2013
Admission routes3
Has abstractyes

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