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Minimizing Inappropriate Medications in Older Populations: A 10-step Conceptual Framework

Overview of attention for article published in American Journal of Medicine, March 2012
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Minimizing Inappropriate Medications in Older Populations: A 10-step Conceptual Framework
Published in
American Journal of Medicine, March 2012
DOI 10.1016/j.amjmed.2011.09.021
Pubmed ID
Authors

Ian A. Scott, Leonard C. Gray, Jennifer H. Martin, Charles A. Mitchell

Abstract

The increasing burden of harm resulting from the use of multiple drugs in older patient populations represents a major health problem in developed countries. Approximately 1 in 4 older patients admitted to hospitals are prescribed at least 1 inappropriate medication, and up to 20% of all inpatient deaths are attributable to potentially preventable adverse drug reactions. To minimize this drug-related iatrogenesis, we propose a quality use of medicine framework that comprises 10 sequential steps: 1) ascertain all current medications; 2) identify patients at high risk of or experiencing adverse drug reactions; 3) estimate life expectancy in high-risk patients; 4) define overall care goals in the context of life expectancy; 5) define and confirm current indications for ongoing treatment; 6) determine the time until benefit for disease-modifying medications; 7) estimate the magnitude of benefit versus harm in relation to each medication; 8) review the relative utility of different drugs; 9) identify drugs that may be discontinued; and 10) implement and monitor a drug minimization plan with ongoing reappraisal of drug utility and patient adherence by a single nominated clinician. The framework aims to reduce drug use in older patients to the minimum number of essential drugs, and its utility is demonstrated in reference to a hypothetic case study. Further studies are warranted in validating this framework as a means for assisting clinicians to make more appropriate prescribing decisions in at-risk older patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
Netherlands 2 1%
United Kingdom 2 1%
Spain 2 1%
Ireland 1 <1%
Canada 1 <1%
Colombia 1 <1%
New Zealand 1 <1%
United States 1 <1%
Other 0 0%
Unknown 184 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 15%
Student > Ph. D. Student 27 14%
Researcher 21 11%
Student > Doctoral Student 21 11%
Student > Postgraduate 21 11%
Other 55 28%
Unknown 25 13%
Readers by discipline Count As %
Medicine and Dentistry 94 47%
Pharmacology, Toxicology and Pharmaceutical Science 31 16%
Nursing and Health Professions 8 4%
Psychology 6 3%
Agricultural and Biological Sciences 5 3%
Other 22 11%
Unknown 33 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 November 2020.
All research outputs
#7,777,586
of 25,371,288 outputs
Outputs from American Journal of Medicine
#3,197
of 7,887 outputs
Outputs of similar age
#49,792
of 168,195 outputs
Outputs of similar age from American Journal of Medicine
#33
of 69 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 69th percentile.
So far Altmetric has tracked 7,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 59% 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 168,195 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 70% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.