Long-term Observation of Participants With Mood Disorders

Background:

More than 12,000 people have taken part in research at the Experimental Therapeutics & Pathophysiology Branch at the National Institute of Mental Health Intramural Program. This has led to advances in the treatment of depression, bipolar disorder, and suicide risk. Researchers want to follow up with this group to see if they continue to have mental health symptoms and receive psychiatric treatments.

Objective:

To learn the long-term impact of depression, bipolar disorder, and suicide risk.

Eligibility:

Adults ages 18 and older who signed consent for Protocol 01-M-0254 over a year ago.

Design:

This study has 2 phases: an online phase and a telephone phase. It has no in-person or face-to-face contact.

In Phase 1, participants will fill out online surveys. They will access the surveys through the study website. The questions will focus on their current thoughts and feelings. The surveys will also ask about their current treatments for their mental health symptoms. At the end of the surveys, they will be asked if they would like to take part in Phase 2. If so, they will mark yes. Phase 2 includes a phone interview. They will be contacted by email to schedule the interview.

In Phase 2, participants will be asked more in-depth questions about how they are feeling. They will also be asked which psychiatric medicines and treatments they have used since they left NIH.

In both phases, participants can skip any questions they do not want to answer.

Trial Details



Trial Number

Sponsors & Collaborators

National Institutes of Health Clinical Center
This company doesn't have a full profile yet, it is linked to a clinical trial.

National Institute of Mental Health
This company doesn't have a full profile yet, it is linked to a clinical trial.

Measures Used

Beck Depression Inventory
The Beck Depression Inventory (BDI) contains 21 self-report items, completed using a multiple-choice format. Scores range from 0-63 with higher scores associated with more severe depression.

Data attribution

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