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Type and Frequency of Opioid Pain Medications Returned for Disposal

Overview of attention for article published in Drugs - Real World Outcomes, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 178)
  • High Attention Score compared to outputs of the same age (81st percentile)

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2 policy sources
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2 X users

Citations

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25 Dimensions

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36 Mendeley
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Title
Type and Frequency of Opioid Pain Medications Returned for Disposal
Published in
Drugs - Real World Outcomes, March 2015
DOI 10.1007/s40801-015-0019-4
Pubmed ID
Authors

Grace C. Welham, Jeanine K. Mount, Aaron M. Gilson

Abstract

Prescription opioids have increasingly been involved in overdose deaths and treatment admissions. Disposal programs may play an important role in curbing this trend. The objectives of this study were to: (1) quantify the prescription opioids returned for disposal to a local take-back program, and (2) explore selected drug characteristics that may predict the quantity of unused opioids. Leftover prescription opioid medications returned for disposal to a community drug take-back event were quantified and analyzed according to controlled substances schedule, formulation, number of active ingredients, and directions for use. Days' supply of medication remaining, calculated using the number of dosage units remaining divided by the maximum number of dosage units per day allowed by the prescriber, was the primary outcome variable. Opioid prescriptions returned for disposal had greater than 60 % of the amount dispensed remaining unused. Short-acting C-II and C-III combination opioids accounted for greater than 80 % of the prescriptions returned. Day supply dispensed was the strongest predictor of day supply remaining, regardless of other drug characteristics. These findings indicate that disposal programs are effective at removing unused medication from patient homes. To reduce leftover medication, prescriber education programs should address the amount to be prescribed. Continual monitoring of quantities prescribed and returned for disposal may be useful in evaluating the effects of these programs on leftover medication. Further research on drug characteristics may inform prescribing practices and reduce leftover medication.

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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Professor > Associate Professor 2 6%
Researcher 2 6%
Other 3 8%
Unknown 13 36%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Agricultural and Biological Sciences 3 8%
Social Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Computer Science 2 6%
Other 6 17%
Unknown 15 42%
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 02 August 2019.
All research outputs
#3,782,981
of 22,796,179 outputs
Outputs from Drugs - Real World Outcomes
#33
of 178 outputs
Outputs of similar age
#47,321
of 257,856 outputs
Outputs of similar age from Drugs - Real World Outcomes
#2
of 4 outputs
Altmetric has tracked 22,796,179 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 178 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 81% 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 257,856 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 81% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.