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Automated Text Messaging to Improve Depression Treatment for Low-Income Populations

Principle Investigators and Research Partners: 
  • Adrian Aguilera, Principal Investigator
Summary and Findings: 

As an effort to develop innovative ways to engage patients with their health care providers, the study evaluates the development of an automated text-messaging adjunct to improve depression treatment among low-income, ethnic minority (including Spanish speakers) populations. Utilizing mobile phone based text messaging (or short messaging service: SMS) as a vehicle, the study expands upon previous work in various health applications of this technology across socioeconomic status.

Research questions address whether adding an automated SMS adjunct to group cognitive behavioral therapy (CBT) for depression can increase adherence (homework adherence, attendance, medication adherence) in order to improve the quality of care in public sector settings.

Funder(s)

Robert Wood Johnson Foundation/New Connections