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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedFulford D, Tuot DS, Mangurian C
Electronic psychiatric consultation in primary care in the safety net.
The authors examined the feasibility and acceptability of implementing a psychiatric eReferral program in a publicly funded, community-based primary care clinic in San Francisco staffed by eight primary care practitioners (PCPs). They found feasibility and acceptability of implementing an integrated electronic psychiatry consultation and referral service in a community-based primary care clinic and recommended future trials designed to examine the impact of this type of service on the delivery of high-quality mental health care and its cost-effectiveness in a safety-net health care system.
AHRQ-funded; HS021700.
Citation: Fulford D, Tuot DS, Mangurian C .
Electronic psychiatric consultation in primary care in the safety net.
Psychiatr Serv 2016 Oct;67(10):1160-61. doi: 10.1176/appi.ps.671003.
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Keywords: Community-Based Practice, Electronic Health Records (EHRs), Behavioral Health, Primary Care, Health Information Technology (HIT)
Yoon S, Taha B, Bakken S
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
The purposes of this methodological paper are: 1) to describe data mining methods for building a classification model for a chronic disease using a U.S. behavior risk factor data set, and 2) to illustrate application of the methods using a case study of depressive disorder. Its application of data mining strategies identified childhood experience living with mentally ill and sexual abuse, and limited usual activity as the strongest correlates of depression among hundreds of variables.
AHRQ-funded; HS019853; HS022961.
Citation: Yoon S, Taha B, Bakken S .
Using a data mining approach to discover behavior correlates of chronic disease: a case study of depression.
Stud Health Technol Inform 2014;201:71-8..
Keywords: Chronic Conditions, Behavioral Health, Depression, Health Information Technology (HIT), Electronic Health Records (EHRs)