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Using a self-service kiosk to identify behavioural health needs in a primary care clinic serving an urban, underserved population.

Overview of attention for article published in BMJ Health & Care Informatics, September 2015
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Mentioned by

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4 X users

Citations

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7 Dimensions

Readers on

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63 Mendeley
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Title
Using a self-service kiosk to identify behavioural health needs in a primary care clinic serving an urban, underserved population.
Published in
BMJ Health & Care Informatics, September 2015
DOI 10.14236/jhi.v22i3.134
Pubmed ID
Authors

Glenda Wrenn, Fatima Kasiah, Irshad Syed

Abstract

Integration of behavioural health into primary care clinics is an established model of care and important approach to eliminating mental health disparities, but demands on provider time is a barrier to mental health screening. The purpose of this study was to determine the feasibility of using a kiosk placed in a primary care clinic to screen for multiple mental health disorders. Quality improvement initiative with Plan-Do-Study-Act implementation and time series monitoring of utilisation outcomes. A total of 281 screens were completed identifying positive screens for depression (30%) and bipolar disorder (17%). Post-traumatic stress disorder and concerning substance use were less common. Development of health information technology to facilitate behavioural health assessment in primary care is a promising approach to integrated care and provides additional benefits of population health monitoring.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Doctoral Student 7 11%
Student > Master 7 11%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 8%
Other 7 11%
Unknown 15 24%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Psychology 11 17%
Social Sciences 8 13%
Nursing and Health Professions 5 8%
Economics, Econometrics and Finance 2 3%
Other 7 11%
Unknown 16 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 September 2016.
All research outputs
#16,312,996
of 25,758,695 outputs
Outputs from BMJ Health & Care Informatics
#351
of 500 outputs
Outputs of similar age
#149,867
of 280,745 outputs
Outputs of similar age from BMJ Health & Care Informatics
#1
of 2 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 500 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 28th percentile – i.e., 28% 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 280,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them