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Nonlinear Computation Tool to Chart Trajectories of Bipolar Disorder

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 2R42MH091997-03A1
Agency Tracking Number: R42MH091997
Amount: $1,515,773.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: 103
Solicitation Number: PA14-072
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-06-01
Award End Date (Contract End Date): 2018-03-31
Small Business Information
Lexington, KY 40506-0001
United States
DUNS: 145377966
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 (210) 567-5405
Business Contact
Phone: (210) 567-5405
Research Institution
SAN ANTONIO, TX 78229-3901
United States

 Nonprofit College or University

DESCRIPTION provided by applicant Bipolar disorder BD is a complex chronic illness characterized by recurrent often dramatic mood changes Self management of BD is an important component of treatment but is likewise complex and can be fraught with difficulties including misunderstanding of the condition and a lack of self awareness Combined with the nationwide shortage of mental healthcare providers and the advent of the Affordable Healthcare Act patients are assuming an increased role in understanding and managing their chronic conditions At the same time the emergence of mobile health and computational tools are engaging patients in self management by enabling timely access to information and resources 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 we 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 patientandapos s state is identified and the trajectory of the patient is established KIOS produces advice specific to the patientandapos 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 This Phase II study has three Specific Aims Specific Aim Refine Prototype Software Specific Aim Evaluate KIOS in a Randomized Open week Effectiveness Study Specific Aim Integrate Data Security and Establish Quality StandardsPUBLIC HEALTH RELEVANCE Bipolar disorder is associated with high levels of morbidity disability and premature mortality Bipolar disorder is among the top ten leading causes of disability worldwide and is a source of significant economic burden with US direct and indirect costs estimated to be about $ billion annually The development of computer software that could enable patients to better self manage bipolar disorder would improve outcomes and reduce healthcare costs

* Information listed above is at the time of submission. *

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