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Longitudinal patterns of potentially inappropriate prescribing in early old-aged people

Overview of attention for article published in European Journal of Clinical Pharmacology, November 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Longitudinal patterns of potentially inappropriate prescribing in early old-aged people
Published in
European Journal of Clinical Pharmacology, November 2017
DOI 10.1007/s00228-017-2364-6
Pubmed ID
Authors

Christina Raae Hansen, Stephen Byrne, Shane Cullinan, Denis O’Mahony, Laura J. Sahm, Patricia M. Kearney

Abstract

It is contentious whether potentially inappropriate prescribing (PIP) is predominantly a phenomenon of late life or whether it has its origins in early old age. This study examined the pattern of PIP in an early old-aged population over 5 years. Secondary data analysis of a population-based primary care cohort, of patients aged 60-74 years. Medication data were extracted from electronic patient records in addition to information on comorbidities and demographics. Explicit START criteria (PPOs) and STOPP criteria (PIMs) were used to identify PIP. Generalised estimating equations were used to describe trends in PIP over time and adjusted for age, gender and number of medicines. A total of 978 participants (47.8%) aged 60-74 years were included from the cohort. At baseline, PPOs were detected in 31.2% of patients and PIMs were identified in 35.6% at baseline. Prevalence of PPOs and PIMs increased significantly over time (OR 1.08, 95% CI 1.07; 1.09 and OR 1.04, 95% CI 1.0; 1.06, respectively). A higher number of medicines and new diagnoses were associated with the increasing trend in both PPO and PIM prevalence observed over time, independent of PPOs and PIMs triggered by drug combinations. Potentially inappropriate prescribing is highly prevalent among early old-aged people in primary care and increases as they progress to more advanced old age, suggesting that routine application of STOPP/START criteria in this population would significantly improve medication appropriateness.

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The data shown below were collected from the profiles of 13 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 11 17%
Student > Bachelor 7 11%
Other 5 8%
Researcher 4 6%
Other 15 23%
Unknown 13 20%
Readers by discipline Count As %
Medicine and Dentistry 16 24%
Pharmacology, Toxicology and Pharmaceutical Science 13 20%
Nursing and Health Professions 8 12%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 1 2%
Other 8 12%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 April 2018.
All research outputs
#4,013,669
of 23,337,345 outputs
Outputs from European Journal of Clinical Pharmacology
#363
of 2,592 outputs
Outputs of similar age
#84,306
of 440,011 outputs
Outputs of similar age from European Journal of Clinical Pharmacology
#10
of 37 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,592 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 440,011 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 80% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.