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Geriatrician interventions on medication prescribing for frail older people in residential aged care facilities

Overview of attention for article published in Clinical Interventions in Aging, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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10 X users
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1 Facebook page

Citations

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16 Dimensions

Readers on

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84 Mendeley
Title
Geriatrician interventions on medication prescribing for frail older people in residential aged care facilities
Published in
Clinical Interventions in Aging, June 2015
DOI 10.2147/cia.s84402
Pubmed ID
Authors

Arjun Poudel, Nancye M Peel, Charles A Mitchell, Leonard C Gray, Lisa M Nissen, Ruth E Hubbard

Abstract

In Australian residential aged care facilities (RACFs), the use of certain classes of high-risk medication such as antipsychotics, potent analgesics, and sedatives is high. Here, we examined the prescribed medications and subsequent changes recommended by geriatricians during comprehensive geriatric consultations provided to residents of RACFs via videoconference. This is a prospective observational study. Four RACFs in Queensland, Australia, are included. A total of 153 residents referred by general practitioners for comprehensive assessment by geriatricians delivered by video-consultation. Residents' mean (standard deviation, SD) age was 83.0 (8.1) years and 64.1% were female. They had multiple comorbidities (mean 6), high levels of dependency, and were prescribed a mean (SD) of 9.6 (4.2) regular medications. Ninety-one percent of patients were taking five or more medications daily. Of total medications prescribed (n=1,469), geriatricians recommended withdrawal of 9.8% (n=145) and dose alteration of 3.5% (n=51). New medications were initiated in 47.7% (n=73) patients. Of the 10.3% (n=151) medications considered as high risk, 17.2% were stopped and dose altered in 2.6%. There was a moderate prevalence of potentially inappropriate high-risk medications. However, geriatricians made relatively few changes, suggesting either that, on balance, prescription of these medications was appropriate or, because of other factors, there was a reluctance to adjust medications. A structured medication review using an algorithm for withdrawing medications of high disutility might help optimize medications in frail patients. Further research, including a broader survey, is required to understand these dynamics.

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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Canada 1 1%
Unknown 82 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Bachelor 11 13%
Student > Master 10 12%
Researcher 9 11%
Student > Doctoral Student 6 7%
Other 15 18%
Unknown 18 21%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 19 23%
Medicine and Dentistry 15 18%
Nursing and Health Professions 15 18%
Psychology 4 5%
Social Sciences 3 4%
Other 6 7%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 11 July 2015.
All research outputs
#6,443,044
of 25,371,288 outputs
Outputs from Clinical Interventions in Aging
#605
of 1,968 outputs
Outputs of similar age
#70,174
of 281,402 outputs
Outputs of similar age from Clinical Interventions in Aging
#8
of 43 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,968 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 68% 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 281,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.