Affiliation: University of Southern California
- Integrating Science and Engineering to Implement Evidence-Based Practices in Health Care SettingsShinyi Wu
School and Social Work, Edward R Roybal Institute on Aging, and Daniel J Epstein Department of Industrial and Systems Engineering, University of Southern California, 669 West 34th Street, Montgomery Ross Fisher Building, Los Angeles, CA, 90089 0411, USA
Adm Policy Ment Health 42:588-92. 2015..We recommend that leading journals recognize the fundamental role of engineering in implementation research, to improve understanding of design elements that create a better fit between program elements and local context. ..
- Predicting Depression among Patients with Diabetes Using Longitudinal Data. A Multilevel Regression ModelH Jin
Shinyi Wu, PhD, School of Social Work and Epstein Department of Industrial and Systems Engineering, University of Southern California, Edward R Roybal Institute on Aging, 1150 South Olive Street, Suite 1400, Los Angeles, CA 90015, USA, E mail
Methods Inf Med 54:553-9. 2015..This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare"...
- Collaborative depression care among Latino patients in diabetes disease management, Los Angeles, 2011-2013Brian Wu
School of Social Work and Epstein Department of Industrial and Systems Engineering, University of Southern California, 669 W 34th St, Montgomery Ross Fisher Bldg, Los Angeles, CA 90089 0411 E mail
Prev Chronic Dis 11:E148. 2014..The Diabetes-Depression Care-Management Adoption Trial examined whether the collaborative depression care model is an effective approach in safety-net clinics to improve clinical care outcomes of depression and diabetes...
- Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: comparative effectiveness trial designShinyi Wu
Daniel J Epstein Department of Industrial and Systems Engineering, University of Southern California, United States RAND Corporation, United States Electronic address
Contemp Clin Trials 37:342-54. 2014..DCAT's goal is to optimize depression screening, treatment, follow-up, outcomes, and cost savings to reduce health disparities...
- Exploring the uncertainties of early detection results: model-based interpretation of mayo lung projectLu Shi
Department of Health Services, 650 Charles E, Young Drive S, 61 253 CHS, Los Angeles, CA 90095, USA
BMC Cancer 11:92. 2011..This study is intended to provide model-based testing for some of these important arguments...
- A cost-effectiveness analysis of a proposed national falls prevention programShinyi Wu
Epstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, Los Angeles, CA 90089, USA
Clin Geriatr Med 26:751-66. 2010..Paying for a fall prevention program to increase the use of evidence-based interventions would be a cost-effective use of Medicare dollars...
- Automated Remote Monitoring of Depression: Acceptance Among Low-Income Patients in Diabetes Disease ManagementMagaly Ramírez
Daniel J Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, United States
JMIR Ment Health 3:e6. 2016....
- Promotora assisted depression care among predominately Hispanic patients with concurrent chronic illness: Public care system clinical trial designKathleen Ell
School of Social Work, University of Southern California, United States Electronic address
Contemp Clin Trials 46:39-47. 2016..Baseline and outcome data include mental health assessment and treatment receipt, co-morbid illness self-care, social relationships, and environmental stressor assessments. ..
- Development of a Clinical Forecasting Model to Predict Comorbid Depression Among Diabetes Patients and an Application in Depression Screening Policy MakingHaomiao Jin
Daniel J Epstein Department of Industrial and Systems Engineering, University of Southern California, 3715 McClintock Avenue, Suite 240, Los Angeles, CA 90089 Email
Prev Chronic Dis 12:E142. 2015....
- Low-income minority patient engagement with automated telephonic depression assessment and impact on health outcomesIrene Vidyanti
Office of Health Assessment and Epidemiology, Los Angeles County Department of Public Health, Los Angeles, CA, USA
Qual Life Res 24:1119-29. 2015..We investigated dimensions of low-income minority patient engagement in the context of diabetes-depression care-management with automated telephone assessment (ATA) calls as a facilitator...
- Patient-centered technological assessment and monitoring of depression for low-income patientsShinyi Wu
Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles Drs Wu, Liu, and Hawkins and Mss Vidyanti and Ramirez Los Angeles County Department of Health Services, Los Angeles, California Drs Guterman and Gross Schulman and Ms Sklaroff Tseng College at California State University, Northridge Ms Sklaroff School of Social Work, University of Southern California, Los Angeles Drs Ell and Wu RAND Corporation, Santa Monica, California Dr Wu and David Geffen School of Medicine, University of California, Los Angeles Dr Guterman
J Ambul Care Manage 37:138-47. 2014..The ATA system is feasible, reliable, valid, safe, and likely cost-effective for depression screening and monitoring for low-income primary care population...
- Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014-2015Magaly Ramírez
Fielding School of Public Health, Department of Health Policy and Management, University of California, Los Angeles, 650 Charles Young Dr S, 31 269 CHS Box 951772, Los Angeles, CA 90095 1772 Email
Prev Chronic Dis 13:E171. 2016....
- An agent-based simulation model to study accountable care organizationsPai Liu
Daniel J Epstein Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USA
Health Care Manag Sci 19:89-101. 2016..The study also points out that the likely success of an ACO is interdependent with payment model design, provider characteristics, and cost and effectiveness of healthcare interventions. ..