Effectiveness of Two Self Assessment Tools: KIOS-Bipolar or eMoods
NCT02418910 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50
Last updated 2019-04-01
Summary
The goal of this project is to complete the development of a patient-centered software system and mobile app to assist in managing bipolar disorder. In Phase I, the investigators developed a novel computational tool known as KIOS. Based on concepts from nonlinear systems (chaos) theory, KIOS tracks multiple interacting symptoms to determine the precise state of a BD patient. Once the patient's state is identified and the trajectory of the patient is established, KIOS produces advice specific to the patient's condition to help manage the course of the disease. To demonstrate the usability of the software, KIOS was converted to an online tool with mobile access. Twenty bipolar patients evaluated KIOS in a twelve week field trial. No technical problems with the software were observed and results showed that patients had significantly more reductions in symptom severity than increases. The development of this innovative tool to help patients self- manage BD has the potential to have a profound impact on public health and achieve significant commercial success.
Conditions
Sponsors & Collaborators
-
Biomedical Development Corporation
collaborator INDUSTRY -
The University of Texas Health Science Center at San Antonio
lead OTHER
Principal Investigators
-
Charles Bowden, M.D. · University of Texas
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-10-31
- Primary Completion
- 2017-04-30
- Completion
- 2017-04-30
Countries
- United States
Study Locations
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