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Electronic health records as a tool for recruitment of participants' clinical effectiveness research: lessons learned from tobacco cessation

Overview of attention for article published in Translational Behavioral Medicine, June 2012
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Title
Electronic health records as a tool for recruitment of participants' clinical effectiveness research: lessons learned from tobacco cessation
Published in
Translational Behavioral Medicine, June 2012
DOI 10.1007/s13142-012-0143-6
Pubmed ID
Authors

David Fraser, Bruce A Christiansen, Robert Adsit, Timothy B Baker, Michael C Fiore

Abstract

Translating tobacco dependence treatments that are effective in research settings into real-world clinical settings remains challenging. Electronic health record (EHR) technology can facilitate this process. This paper describes the accomplishments and lessons learned from a translational team science (clinic/research) approach to the development of an EHR tool for participant recruitment and clinic engagement in tobacco cessation research. All team stakeholders-research, clinical, and IT-were engaged in the design and planning of the project. Results over the first 17 months of the study showed that over one half of all smokers, coming in for any type of clinic appointment, were offered participation in the study, a very high level of adherent use of the EHR. Study recruitment over this period was 1,071 individuals, over 12 % of smokers in the participating clinics.

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X Demographics

The data shown below were collected from the profiles of 2 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 6%
Portugal 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Bachelor 5 15%
Researcher 5 15%
Student > Ph. D. Student 4 12%
Student > Doctoral Student 3 9%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 11 33%
Nursing and Health Professions 6 18%
Psychology 4 12%
Computer Science 3 9%
Social Sciences 2 6%
Other 2 6%
Unknown 5 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 February 2016.
All research outputs
#15,245,883
of 22,668,244 outputs
Outputs from Translational Behavioral Medicine
#736
of 988 outputs
Outputs of similar age
#106,646
of 167,155 outputs
Outputs of similar age from Translational Behavioral Medicine
#9
of 17 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 988 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.