↓ Skip to main content

Medication use and the risk of motor vehicle collision in West Virginia drivers 65 years of age and older: a case-crossover study

Overview of attention for article published in BMC Research Notes, March 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Medication use and the risk of motor vehicle collision in West Virginia drivers 65 years of age and older: a case-crossover study
Published in
BMC Research Notes, March 2016
DOI 10.1186/s13104-016-1974-x
Pubmed ID
Authors

Toni M. Rudisill, Motao Zhu, Danielle Davidov, D. Leann Long, Usha Sambamoorthi, Marie Abate, Vincent Delagarza

Abstract

The current generation of older adults reports a higher lifetime prevalence of prescription, over-the-counter, and recreational drug use. The purpose of this analysis is to characterize the drug usage and determine the risk of motor vehicle collision associated with individual medications in a population of drivers ≥65 years. A case-crossover study was conducted at West Virginia University Healthcare's facilities using data obtained from the electronic health records (n = 611) of drivers ≥65 years admitted for medical treatment following a motor vehicle collision which occurred between Jan. 1, 2009 and June 30, 2014. Patients' medication usage 14 days before collision were matched and compared to their medication usage during four control periods prior to collision. Odds ratios were then calculated for the most prevalent individual medications and pharmaceutical sub-classes using conditional logistic regression. Analgesic, cardiovascular and gastrointestinal medicines were common. Few drivers tested positive for either licit or illicit drugs. Of those testing positive for drugs, benzodiazepines and opiates were prevalent. Drivers consuming Tramadol (adjusted OR 11.41; 95 % CI 1.27, 102.15) were at a significantly increased risk of motor vehicle collision. Older adult drivers who have a prescription for this medication may need to be aware of the potential risk. Further research is necessary in a larger, more nationally representative population.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Researcher 6 13%
Student > Bachelor 6 13%
Other 3 7%
Student > Doctoral Student 2 4%
Other 10 22%
Unknown 8 18%
Readers by discipline Count As %
Medicine and Dentistry 12 27%
Psychology 5 11%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Nursing and Health Professions 4 9%
Engineering 3 7%
Other 7 16%
Unknown 9 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 September 2016.
All research outputs
#3,573,456
of 8,324,953 outputs
Outputs from BMC Research Notes
#720
of 2,076 outputs
Outputs of similar age
#112,851
of 281,954 outputs
Outputs of similar age from BMC Research Notes
#44
of 118 outputs
Altmetric has tracked 8,324,953 research outputs across all sources so far. This one has received more attention than most of these and is in the 56th percentile.
So far Altmetric has tracked 2,076 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 64% 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 281,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 118 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 61% of its contemporaries.