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Medication-Related Falls in the Elderly

Overview of attention for article published in Drugs & Aging, December 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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1 news outlet
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10 X users

Citations

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278 Dimensions

Readers on

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337 Mendeley
Title
Medication-Related Falls in the Elderly
Published in
Drugs & Aging, December 2012
DOI 10.2165/11599460-000000000-00000
Pubmed ID
Authors

Allen R. Huang, Louise Mallet, Christian M. Rochefort, Tewodros Eguale, David L. Buckeridge, Robyn Tamblyn

Abstract

People are living to older age. Falls constitute a leading cause of injuries, hospitalization and deaths among the elderly. Older people fall more often for a variety of reasons: alterations in physiology and physical functioning, and the use (and misuse) of medications needed to manage their multiple conditions. Pharmacological factors that place the elderly at greater risk of drug-related side effects include changes in body composition, serum albumin, total body water, and hepatic and renal functioning. Drug use is one of the most modifiable risk factors for falls and falls-related injuries. Fall-risk increasing drugs (FRIDs) include drugs for cardiovascular diseases (such as digoxin, type 1a anti-arrhythmics and diuretics), benzodiazepines, antidepressants, antiepileptics, antipsychotics, antiparkinsonian drugs, opioids and urological spasmolytics. Psychotropic and benzodiazepine drug use is most consistently associated with falls. Despite the promise of a more favourable side-effect profile, evidence shows that atypical antipsychotic medications and selective serotonin reuptake inhibitor antidepressants do not reduce the risk of falls and hip fractures. Despite multiple efforts with regards to managing medication-associated falls, there is no clear evidence for an effective intervention. Stopping or lowering the dose of psychotropic drugs and benzodiazepines does work, but ensuring a patient remains off these drugs is a challenge. Computer-assisted alerts coupled with electronic prescribing tools are a promising approach to lowering the risk of falls as the use of information technologies expands within healthcare.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Spain 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Unknown 332 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 15%
Student > Ph. D. Student 42 12%
Researcher 40 12%
Student > Bachelor 40 12%
Student > Doctoral Student 22 7%
Other 66 20%
Unknown 78 23%
Readers by discipline Count As %
Medicine and Dentistry 112 33%
Nursing and Health Professions 37 11%
Pharmacology, Toxicology and Pharmaceutical Science 22 7%
Psychology 13 4%
Social Sciences 12 4%
Other 44 13%
Unknown 97 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 13 July 2023.
All research outputs
#2,174,276
of 25,373,627 outputs
Outputs from Drugs & Aging
#111
of 1,293 outputs
Outputs of similar age
#20,149
of 289,082 outputs
Outputs of similar age from Drugs & Aging
#6
of 75 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 91% 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 289,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.