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Factors associated with prescription opioid misuse in a cross-sectional cohort of patients with chronic non-cancer pain

Overview of attention for article published in Journal of Pain Research, May 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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19 X users
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1 Facebook page
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1 Google+ user

Citations

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44 Dimensions

Readers on

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79 Mendeley
Title
Factors associated with prescription opioid misuse in a cross-sectional cohort of patients with chronic non-cancer pain
Published in
Journal of Pain Research, May 2017
DOI 10.2147/jpr.s131979
Pubmed ID
Authors

Jennifer M Hah, John A Sturgeon, Jennifer Zocca, Yasamin Sharifzadeh, Sean C Mackey

Abstract

To examine demographic features, psychosocial characteristics, pain-specific behavioral factors, substance abuse history, sleep, and indicators of overall physical function as predictors of opioid misuse in patients presenting for new patient evaluation at a tertiary pain clinic. Overall, 625 patients with chronic non-cancer pain prospectively completed the Collaborative Health Outcomes Information Registry, assessing pain catastrophizing, National Institutes of Health Patient-Reported Outcomes Measurement Information System standardized measures (pain intensity, pain behavior, pain interference, physical function, sleep disturbance, sleep-related impairment, anger, depression, anxiety, and fatigue), and substance use history. Additional information regarding current opioid prescriptions and opioid misuse was examined through retrospective chart review. In all, 41 (6.6%) patients presented with some indication of prescription opioid misuse. In the final multivariable logistic regression model, those with a history of illicit drug use (odds ratio [OR] 5.45, 95% confidence interval [CI] 2.48-11.98, p<0.0001) and a current opioid prescription (OR 4.06, 95% CI 1.62-10.18, p=0.003) were at elevated risk for opioid misuse. Conversely, every 1-h increase in average hours of nightly sleep decreased the risk of opioid misuse by 20% (OR 0.80, 95% CI 0.66-0.97, p=0.02). These findings indicate the importance of considering substance use history, current opioid prescriptions, and sleep in universal screening of patients with chronic non-cancer pain for opioid misuse. Future work should target longitudinal studies to verify the causal relationships between these variables and subsequent opioid misuse.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 16%
Student > Ph. D. Student 12 15%
Student > Master 8 10%
Student > Bachelor 8 10%
Student > Postgraduate 7 9%
Other 14 18%
Unknown 17 22%
Readers by discipline Count As %
Medicine and Dentistry 26 33%
Psychology 9 11%
Nursing and Health Professions 8 10%
Neuroscience 4 5%
Social Sciences 3 4%
Other 8 10%
Unknown 21 27%
Attention Score in Context

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 05 July 2020.
All research outputs
#3,133,903
of 25,584,565 outputs
Outputs from Journal of Pain Research
#349
of 1,969 outputs
Outputs of similar age
#54,089
of 325,074 outputs
Outputs of similar age from Journal of Pain Research
#10
of 56 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 82% 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 325,074 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 83% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.