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Potentially inappropriate medication in the elderly: a systematic review of validated explicit criteria

Overview of attention for article published in European Journal of Clinical Pharmacology, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Potentially inappropriate medication in the elderly: a systematic review of validated explicit criteria
Published in
European Journal of Clinical Pharmacology, March 2018
DOI 10.1007/s00228-018-2446-0
Pubmed ID
Authors

Fabiane Raquel Motter, Janaína Soder Fritzen, Sarah Nicole Hilmer, Érika Vieira Paniz, Vera Maria Vieira Paniz

Abstract

Potentially inappropriate medication (PIM) use causes preventable adverse drug reactions in older patients. Several assessment tools have been published to identify and avoid PIM use. In this systematic literature review, we aim to provide summaries and comparisons of validated PIMs lists published between 1991 and 2017 internationally. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement (PRISMA), we performed a systematic review of articles describing the development and validation of criteria for identification of PIMs among older people published between January 1991 and April 2017. The searches were conducted on PUBMED, AgeLine, Academic Search, Academic Search Premier, and CINAHL. We identified the most common medications/classes described as PIM. We also identified the drug-disease interactions and drug-drug interactions reported among criteria. From 2933 articles screened, 36 met our inclusion criteria. The majority used the Delphi method to validate their criteria. We identified 907 different medications/classes, 536 different drug disease interactions involving 84 diseases/conditions, and 159 drug-drug interactions. Benzodiazepines and nonsteroidal anti-inflammatory drugs were the medications most commonly reported as potentially inappropriate for older people. Although approaches aimed at detecting inappropriate prescribing have intensified in recent years, we observed limited overlap between different PIM lists. Additionally, some PIM lists did not provide special considerations of use and alternative therapies to avoid PIMs. These facts may compromise the use of PIM lists in clinical practice. Future PIM lists should integrate information about alternative therapies and special considerations of use in order to help clinicians in the drug prescription.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 251 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 14%
Student > Ph. D. Student 32 13%
Student > Bachelor 30 12%
Researcher 20 8%
Other 18 7%
Other 38 15%
Unknown 78 31%
Readers by discipline Count As %
Medicine and Dentistry 62 25%
Pharmacology, Toxicology and Pharmaceutical Science 56 22%
Nursing and Health Professions 19 8%
Engineering 5 2%
Agricultural and Biological Sciences 4 2%
Other 15 6%
Unknown 90 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2023.
All research outputs
#1,897,043
of 24,857,051 outputs
Outputs from European Journal of Clinical Pharmacology
#115
of 2,703 outputs
Outputs of similar age
#40,526
of 335,232 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#5
of 24 outputs
Altmetric has tracked 24,857,051 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,703 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 335,232 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.