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The total sale of prescription drugs with an abuse potential predicts the number of excessive users: a national prescription database study

Overview of attention for article published in BMC Public Health, March 2015
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 news outlet
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Title
The total sale of prescription drugs with an abuse potential predicts the number of excessive users: a national prescription database study
Published in
BMC Public Health, March 2015
DOI 10.1186/s12889-015-1615-7
Pubmed ID
Authors

Ingeborg Rossow, Jørgen G Bramness

Abstract

Prescription drug sales may vary considerably across regions and over time. This study aimed to assess whether there is an association between mean drug sales and prevalence of excessive use in a range of psychotropic prescription drugs with an abuse potential, and if so, whether the variation in mean drug sales mostly reflects variation in the prevalence of excessive use or mostly reflects variation in non-excessive use. Data on all filled prescriptions taken from the Norwegian prescription database for 10 drugs with an abuse potential (pain relievers, anxiolytics, and hypnotics) during one calendar year (2005) in Norway (n = 4 053 624) included number of defined daily doses (DDD). These were aggregated to individual level (n = 815 836) and county level (n = 19). Analyses of individual level data showed that the distribution of drug use was skewed; those who used more than 365 DDD per year accounted for almost half of the sales of both anxiolytics and hypnotics. At the county level, the mean sales per inhabitant and the prevalence of excessive users were closely correlated, but both prevalence of non-excessive use and prevalence of excessive drug use were associated with the county-wise variation in mean drug sales. Despite a strong individual control of access to psychotropic drugs through health personnel' prescribing, a small proportion of users account for a large fraction of the sales of these drugs. The sales vary significantly between regions and this variation is closely associated with the prevalence of excessive users. This suggests that sales figures as such may be used as an indicator to monitor variations in excessive use between regions and over time, and to evaluate interventions targeting over-prescription and excessive use.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
France 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 15%
Other 4 10%
Student > Doctoral Student 4 10%
Student > Master 4 10%
Student > Bachelor 3 8%
Other 9 23%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Social Sciences 4 10%
Psychology 3 8%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 5 13%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 April 2015.
All research outputs
#2,938,351
of 22,799,071 outputs
Outputs from BMC Public Health
#3,407
of 14,855 outputs
Outputs of similar age
#39,774
of 263,386 outputs
Outputs of similar age from BMC Public Health
#69
of 285 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 76% 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 263,386 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 84% of its contemporaries.
We're also able to compare this research output to 285 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.