↓ Skip to main content

Use of a frailty index to identify potentially inappropriate prescribing and adverse drug reaction risks in older patients

Overview of attention for article published in Age & Ageing, December 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
53 X users

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
131 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Use of a frailty index to identify potentially inappropriate prescribing and adverse drug reaction risks in older patients
Published in
Age & Ageing, December 2015
DOI 10.1093/ageing/afv166
Pubmed ID
Authors

Shane Cullinan, Denis O'Mahony, David O'Sullivan, Stephen Byrne

Abstract

potentially inappropriate prescribing (PIP) is a significant problem in health care today. We hypothesise that if doctors were given a single indicator of PIP and adverse drug reaction (ADR) risk on a patient's prescription, it might stimulate them to review the medicines. We suggest that a frailty index (FI) score may be such a suitable indicator. to determine whether a positive relationship exists between a patient's frailty status, the appropriateness of their medications and their propensity to develop ADRs. Compare this to just using the number of medications a patient takes as an indicator of PIP/ADR risk. SETTING AND METHOD: a frailty index was constructed and applied to a patient database. The associations between a patient's FI score, the number of instances of PIP on their prescription and their likelihood of developing an ADR were determined using Pearson correlation tests and χ(2) tests. significant correlation between FI score instances of PIP was shown (R = 0.92). The mean FI score above which patients experienced at least one instance of PIP was 0.16. Patients above this threshold were twice as likely to experience PIP (OR = 2.6, P < 0.0001) and twice as likely to develop an ADR (OR = 2.1, P < 0.0001). Patients taking more than six medications were 3 times more likely to experience PIP. an FI score is a potentially relevant clinical indicator for doctors to critically assess a patient's prescription for the presence of PIP and ultimately prevent ADRs, especially when used in tandem with the number of medications a patient takes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 53 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 15%
Researcher 18 14%
Student > Doctoral Student 15 11%
Student > Master 14 11%
Other 14 11%
Other 26 20%
Unknown 24 18%
Readers by discipline Count As %
Medicine and Dentistry 42 32%
Pharmacology, Toxicology and Pharmaceutical Science 24 18%
Nursing and Health Professions 18 14%
Computer Science 2 2%
Linguistics 1 <1%
Other 12 9%
Unknown 32 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 01 October 2017.
All research outputs
#1,260,682
of 25,402,889 outputs
Outputs from Age & Ageing
#527
of 3,813 outputs
Outputs of similar age
#21,036
of 394,204 outputs
Outputs of similar age from Age & Ageing
#13
of 56 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done well, scoring higher than 86% 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 394,204 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 94% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.