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Application of a framework for determining number of drugs

Overview of attention for article published in BMC Research Notes, May 2016
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Title
Application of a framework for determining number of drugs
Published in
BMC Research Notes, May 2016
DOI 10.1186/s13104-016-2076-5
Pubmed ID
Authors

Amber M. Goedken, Brian C. Lund, Elizabeth A. Cook, Mary C. Schroeder, John M. Brooks

Abstract

There are many different methodologies used in the literature for determining the number of drugs used by a patient, and many are incompletely described. This may be attributable to the lack of a framework to help investigators choose and describe their methods and the lack of evidence on the implications of the choice. The purpose of the study was to propose a framework and illustrate how that framework can be used to create and succinctly describe various approaches to counting the number of drugs used by patients and to examine the impact of varying individual components of the framework on the resulting drug count. The three component framework requires specification of scope, uniqueness, and timeframe. The framework was applied to Medicare beneficiaries admitted for acute myocardial infarction in 2008. Drug use was ascertained by Part D prescription drug event files. A default measure for drug count was established, and fourteen additional measures were created by separately altering individual components of the default to illustrate the application of the framework and understand how these changes impacted drug count. Median drug counts and the frequency distributions of beneficiaries experiencing a change in count from default were produced for each measure. The median drug count for the default measure was 4. Alteration of the timeframe component had the largest impact on drug counts, with a look-back period of 180 days producing a median count of 8 and changing the count by at least two for 73 % of patients. Variations of the other components had less impact. Our framework is intended to be used by investigators to select an approach to counting number of drugs in their studies. Extending the timeframe over which fills from a pharmacy refill database could be counted toward the drug count produced the greatest changes in the number of drugs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 27%
Researcher 2 18%
Student > Ph. D. Student 2 18%
Other 1 9%
Librarian 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Medicine and Dentistry 6 55%
Pharmacology, Toxicology and Pharmaceutical Science 2 18%
Economics, Econometrics and Finance 1 9%
Unknown 2 18%
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 25 July 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from BMC Research Notes
#3,020
of 4,269 outputs
Outputs of similar age
#230,841
of 312,378 outputs
Outputs of similar age from BMC Research Notes
#61
of 91 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.