Shinyi Wu

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. doi request reprint Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: Comparative effectiveness trial design
    Shinyi 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
  2. pmc Exploring the uncertainties of early detection results: model-based interpretation of mayo lung project
    Lu Shi
    Department of Health Services, 650 Charles E, Young Drive S, 61 253 CHS, Los Angeles, CA 90095, USA
    BMC Cancer 11:92. 2011
  3. doi request reprint A cost-effectiveness analysis of a proposed national falls prevention program
    Shinyi 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
  4. doi request reprint Patient-centered technological assessment and monitoring of depression for low-income patients
    Shinyi 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

Collaborators

  • Lu Shi
  • BARBARA BERMAN
  • William J McCarthy
  • Rob Boer
  • Haijun Tian

Detail Information

Publications4

  1. doi request reprint Technology-facilitated depression care management among predominantly Latino diabetes patients within a public safety net care system: Comparative effectiveness trial design
    Shinyi 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. ..
  2. pmc Exploring the uncertainties of early detection results: model-based interpretation of mayo lung project
    Lu 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...
  3. doi request reprint A cost-effectiveness analysis of a proposed national falls prevention program
    Shinyi 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...
  4. doi request reprint Patient-centered technological assessment and monitoring of depression for low-income patients
    Shinyi 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. ..