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Updated: May 3, 2026

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
Patient-centered technological assessment and monitoring of depression for low-income patients
Shinyi Wu1, Irene Vidyanti, Pai Liu
1Epstein 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).
Abstract:
Depression is a significant challenge for ambulatory care because it worsens health status and outcomes, increases health care utilizations and costs, and elevates suicide risk. An automatic telephonic assessment (ATA) system that links with tasks and alerts to providers may improve quality of depression care and increase provider productivity. We used ATA system in a trial to assess and monitor depressive symptoms of 444 safety-net primary care patients with diabetes. We assessed system properties, evaluated preliminary clinical outcomes, and estimated cost savings. The ATA system is feasible, reliable, valid, safe, and likely cost-effective for depression screening and monitoring for low-income primary care population.
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