Health And Response: Digital Markers for Outcomes in Perinatal Depression Treatment Study

The purpose of this study is to determine if the addition of digital sensing data collected from phones and watches during the early stages of perinatal depression (PND) treatment can better predict treatment outcomes than using self-reported symptoms alone.STAND for PND: The UCLA Depression Grand Challenge (DGC) has previously developed a technology-assisted, scalable therapy system called STAND (Screening and Treatment for ANxiety and Depression) for perinatal depression (PND) and has demonstrated in an initial randomized clinical trial that this treatment intervention to be as effective as psychiatrist delivered care for PND. In this study, the investigators will administer STAND for PND for up to 12 weeks as part of study participation. There will be no comparison between our treatment intervention and a treatment as usual condition, as this is not a trial of efficacy. In the STAND for PND treatment model, women with moderate symptoms will be routed to coach-guided, digital cognitive behavioral therapy (CBT) tailored to PND, which has been demonstrated to be an effective treatment approach for PND. Women with severe depression or suicidality will be routed to clinician delivered CBT, with pharmacotherapy as needed, with both CBT and pharmacotherapy demonstrated to be effective treatment approaches for PND. Symptoms will be regularly monitored throughout the intervention period. Digital Sensing in Depression: The DGC also has substantial experience in large-scale longitudi…

This description comes directly from the study's public registry record.

Eliza Congdon, PhD  ·  (310)-339-9053  ·  harmonystudy@mednet.ucla.edu

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