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Risk factors for addiction among patients receiving prescribed opioids: a systematic review protocol

Overview of attention for article published in Systematic Reviews, December 2017
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About this Attention Score

  • 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 (70th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
3 tweeters

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Risk factors for addiction among patients receiving prescribed opioids: a systematic review protocol
Published in
Systematic Reviews, December 2017
DOI 10.1186/s13643-017-0642-0
Pubmed ID
Authors

Amber Cragg, Jeffrey P. Hau, Stephanie A. Woo, Christine Liu, Mary M. Doyle-Waters, Corinne M. Hohl

Abstract

Opioid addiction prevention has become an urgent public health priority, with several countries declaring a state of emergency due to rising death tolls from opioid abuse. Reducing the risk of developing addiction among opioid-naïve patients exposed to prescribed opioids during the process of medical care may be an important primary prevention strategy. Our objective is to synthesize the available evidence about factors associated with the development of addiction among patients first exposed to prescribed opioids, with a focus on opioid-naïve patients. We will perform a systematic search of MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and other databases in collaboration with a health information specialist using a comprehensive search strategy. We will also supplement our search with a scan of the grey literature to identify relevant ongoing and unpublished studies. We will include studies reporting on risk factors for opioid addiction in patients prescribed opioid analgesic therapy through a prescription from a licensed medical professional, with a focus on opioid-naïve patients. We will exclude studies focusing on patients who are first exposed to illicit opioids, those who use prescription opioids for cancer pain, and/or who are palliative. Two reviewers will independently review titles, abstracts, and full texts for inclusion and exclusion criteria. They will then extract data from included full texts using standardized piloted data extraction forms and assess study quality through risk of bias assessment. We will synthesize the effect sizes of risk factors derived from clinically homogenous studies with similar designs and the remaining ones qualitatively. Understanding risk factors for opioid addiction among patients who require analgesia has the potential to inform clinical care and opioid prescribing guidelines aiming to reduce opioid addiction. We will also use this information as a starting point for developing interventions for primary prevention.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 12%
Student > Master 7 12%
Student > Doctoral Student 7 12%
Researcher 6 10%
Student > Bachelor 4 7%
Other 13 22%
Unknown 16 27%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Nursing and Health Professions 10 17%
Psychology 3 5%
Biochemistry, Genetics and Molecular Biology 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 13 22%
Unknown 12 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 January 2020.
All research outputs
#2,107,739
of 18,244,804 outputs
Outputs from Systematic Reviews
#413
of 1,648 outputs
Outputs of similar age
#65,273
of 419,592 outputs
Outputs of similar age from Systematic Reviews
#52
of 170 outputs
Altmetric has tracked 18,244,804 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 74% 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 419,592 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 170 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 70% of its contemporaries.