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Prescriber variation in potentially inappropriate prescribing in older populations in Ireland

Overview of attention for article published in BMC Primary Care, April 2014
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Title
Prescriber variation in potentially inappropriate prescribing in older populations in Ireland
Published in
BMC Primary Care, April 2014
DOI 10.1186/1471-2296-15-59
Pubmed ID
Authors

Caitriona Cahir, Tom Fahey, Conor Teljeur, Kathleen Bennett

Abstract

Health care policy-makers look for prescribing indicators at the population level to evaluate the performance of prescribers, improve quality and control drug costs. The aim of this research was to; (i) estimate the level of variation in potentially inappropriate prescribing (PIP) across prescribers in the national Irish older population using the STOPP criteria; (ii) estimate how reliably the criteria could distinguish between prescribers in terms of their proportion of PIP and; (iii) examine how PIP varies between prescribers and by patient and prescriber characteristics in a multilevel regression model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 1%
Spain 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 11 15%
Student > Master 10 14%
Student > Postgraduate 7 10%
Student > Bachelor 4 6%
Other 12 17%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 22 31%
Pharmacology, Toxicology and Pharmaceutical Science 14 20%
Nursing and Health Professions 6 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Business, Management and Accounting 2 3%
Other 10 14%
Unknown 15 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 April 2014.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from BMC Primary Care
#1,714
of 2,359 outputs
Outputs of similar age
#143,369
of 238,766 outputs
Outputs of similar age from BMC Primary Care
#35
of 53 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 238,766 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.