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Prescription drug monitoring and drug overdose mortality

Overview of attention for article published in Injury Epidemiology, April 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 158)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

2 news outlets
1 policy source
5 tweeters


42 Dimensions

Readers on

47 Mendeley
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Prescription drug monitoring and drug overdose mortality
Published in
Injury Epidemiology, April 2014
DOI 10.1186/2197-1714-1-9
Pubmed ID

Guohua Li, Joanne E Brady, Barbara H Lang, James Giglio, Hannah Wunsch, Charles DiMaggio


Abuse of prescription drugs, particularly opioid analgesics, has become a major source of injury mortality and morbidity in the United States. To prevent the diversion and misuse of controlled substances, many states have implemented prescription drug monitoring programs (PDMPs). This study assessed the impact of state PDMPs on drug overdose mortality. We analyzed demographic and drug overdose mortality data for state-quarters with and without PDMPs in 50 states and the District of Columbia during 1999-2008, and estimated adjusted risk ratios (aRRs) and 95% confidence intervals (CIs) of drug overdose mortality associated with the implementation of state PDMPs through multivariable negative bionomial regression modeling. During the study period, annual national death rates from drug overdose increased by 96%, from 5.7 deaths per 100,000 population in 1999 to 11.2 in 2008. The impact of PDMPs on drug overdose mortality varied greatly across states, ranging from a 35% decrease in Michigan (aRR = 0.65; 95% CI = 0.54-0.77) to a more than 3-fold increase in Nevada (aRR = 3.37; 95% CI = 2.48-4.59). Overall, implementation of PDMPs was associated with an 11% increase in drug overdose mortality (aRR = 1.11; 95% CI = 1.02-1.21). Implementation of PDMPs did not reduce drug overdose mortality in most states through 2008. Program enhancement that facilitates the access and use of prescription drug monitoring data systems by healthcare practitioners is needed.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 7 15%
Other 6 13%
Student > Master 5 11%
Student > Bachelor 3 6%
Other 8 17%
Unknown 8 17%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Social Sciences 11 23%
Nursing and Health Professions 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Economics, Econometrics and Finance 1 2%
Other 6 13%
Unknown 12 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 11 September 2017.
All research outputs
of 14,083,287 outputs
Outputs from Injury Epidemiology
of 158 outputs
Outputs of similar age
of 212,807 outputs
Outputs of similar age from Injury Epidemiology
of 1 outputs
Altmetric has tracked 14,083,287 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 158 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. 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 212,807 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them