Patient-centered technological assessment and monitoring of depression for low-income patients

Shinyi Wu, Irene Vidyanti, Pai Liu, Caitlin Hawkins, Magaly Ramirez, Jeffrey Guterman, Sandra Gross-Schulman, Laura Myerchin Sklaroff, Kathleen Ell, Shinyi Wu, Irene Vidyanti, Pai Liu, Caitlin Hawkins, Magaly Ramirez, Jeffrey Guterman, Sandra Gross-Schulman, Laura Myerchin Sklaroff, Kathleen Ell

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.

Trial registration: ClinicalTrials.gov NCT01781013.

Conflict of interest statement

This study was funded by ASPE (Assistant Secretary for Planning and Evaluation for the US Department of Health and Human Services) 1R18AE000054-01.

Only 1 author, Jeffrey Guterman, reports a proprietary or commercial interest in the automated telephonic assessment system discussed in this article. For the remaining authors, none were declared.

Figures

Figure 1.
Figure 1.
DCAT system design schema.

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Source: PubMed

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