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Implementation outcomes of evidence-based quality improvement for depression in VA community based outpatient clinics

Overview of attention for article published in Implementation Science, April 2012
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Citations

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74 Dimensions

Readers on

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272 Mendeley
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1 CiteULike
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Title
Implementation outcomes of evidence-based quality improvement for depression in VA community based outpatient clinics
Published in
Implementation Science, April 2012
DOI 10.1186/1748-5908-7-30
Pubmed ID
Authors

John Fortney, Mark Enderle, Skye McDougall, Jeff Clothier, Jay Otero, Lisa Altman, Geoff Curran

Abstract

Collaborative-care management is an evidence-based practice for improving depression outcomes in primary care. The Department of Veterans Affairs (VA) has mandated the implementation of collaborative-care management in its satellite clinics, known as Community Based Outpatient Clinics (CBOCs). However, the organizational characteristics of CBOCs present added challenges to implementation. The objective of this study was to evaluate the effectiveness of evidence-based quality improvement (EBQI) as a strategy to facilitate the adoption of collaborative-care management in CBOCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Norway 2 <1%
Canada 2 <1%
United Kingdom 1 <1%
Sierra Leone 1 <1%
Unknown 262 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 18%
Student > Ph. D. Student 35 13%
Student > Master 32 12%
Student > Doctoral Student 24 9%
Student > Bachelor 16 6%
Other 58 21%
Unknown 57 21%
Readers by discipline Count As %
Medicine and Dentistry 68 25%
Psychology 58 21%
Social Sciences 25 9%
Nursing and Health Professions 23 8%
Computer Science 7 3%
Other 23 8%
Unknown 68 25%
Attention Score in Context

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 19 April 2012.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from Implementation Science
#1,458
of 1,809 outputs
Outputs of similar age
#98,564
of 173,996 outputs
Outputs of similar age from Implementation Science
#29
of 39 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 173,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.