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Search All Research Studies
AHRQ Research Studies Date
Topics
- (-) Behavioral Health (6)
- Children/Adolescents (1)
- Chronic Conditions (1)
- Community-Based Practice (1)
- Depression (3)
- Education: Patient and Caregiver (1)
- Elderly (1)
- Electronic Health Records (EHRs) (2)
- (-) Health Information Technology (HIT) (6)
- Obesity (1)
- Obesity: Weight Management (1)
- Primary Care (2)
- Racial and Ethnic Minorities (1)
- Screening (1)
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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.
Results
1 to 6 of 6 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)
Aschbrenner KA, Naslund JA, Shevenell M
Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness.
This pilot study evaluated the feasibility of a behavioral weight loss intervention enhanced with peer support and mobile health (mHealth) technology for obese individuals with serious mental illness (SMI). Feasibility was assessed by program attendance, and participant satisfaction and suggestions for improving the model. It found that overall attendance amounted to approximately half of weekly sessions, with participants suggesting a number of modifications.
AHRQ-funded; HS021695.
Citation: Aschbrenner KA, Naslund JA, Shevenell M .
Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness.
Psychiatr Q 2016 Sep;87(3):401-15. doi: 10.1007/s11126-015-9395-x.
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Keywords: Health Information Technology (HIT), Behavioral Health, Obesity: Weight Management, Obesity
Biegler K, Mollica R, Sim SE
AHRQ Author: Ngo-Metzger Q
Rationale and study protocol for a multi-component health information technology (HIT) screening tool for depression and post-traumatic stress disorder in the primary care setting.
The authors described the rationale and protocol of a clustered randomized controlled trial to test the effectiveness of a health information technology (HIT) intervention that provides a multi-component approach to delivering culturally competent mental health care in the primary care setting. They expect the outcomes to include assessing the potential of the HIT intervention to improve screening rates, clinical detection, provider initiation of treatment, and patient outcomes for depression and post-traumatic stress disorder. They suggest that this technology has the potential to be adapted in order to facilitate mental health screening and treatment in the primary care setting.
AHRQ-authored.
Citation: Biegler K, Mollica R, Sim SE .
Rationale and study protocol for a multi-component health information technology (HIT) screening tool for depression and post-traumatic stress disorder in the primary care setting.
Contemp Clin Trials 2016 Sep;50:66-76. doi: 10.1016/j.cct.2016.07.001.
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Keywords: Health Information Technology (HIT), Behavioral Health, Depression, Screening, Primary Care
Radovic A, Vona PL, Santostefano AM
Smartphone applications for mental health.
This study seeks to characterize apps readily available to smartphone users seeking mental health information and/or support. The most common purported purpose for the 208 apps studied was symptom relief (41 percent) and general mental health education (18 percent). The most frequently mentioned approaches to improving mental health were those that may benefit only milder symptoms such as relaxation (21 percent).
AHRQ-funded; HS022989.
Citation: Radovic A, Vona PL, Santostefano AM .
Smartphone applications for mental health.
Cyberpsychol Behav Soc Netw 2016 Jul;19(7):465-70. doi: 10.1089/cyber.2015.0619.
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Keywords: Behavioral Health, Telehealth, Education: Patient and Caregiver, Children/Adolescents, Health Information Technology (HIT)
Jang Y, Chiriboga DA, Molinari V
Telecounseling for the linguistically isolated: a pilot study with older Korean immigrants.
This study explored the feasibility and preliminary efficacy of a telecounseling program in the client’s native language. Participants who were native Korean language speakers living in Florida showed generally high levels of acceptance and adherence to the telecounseling program. The high retention of the participants may be due to multiple factors including brevity of the program and convenience of the location.
AHRQ-funded; HS020636
Citation: Jang Y, Chiriboga DA, Molinari V .
Telecounseling for the linguistically isolated: a pilot study with older Korean immigrants.
Gerontologist 2014 Apr;54(2):290-6. doi: 10.1093/geront/gns196..
Keywords: Depression, Elderly, Health Information Technology (HIT), Behavioral Health, Racial and Ethnic Minorities, Telehealth
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)