Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas.
Psychopharmacol Bull. 2021 Mar 16;51(2):8-19.
Self-management of bipolar disorder (BD) is an important component of treatment.
We developed a patient-centered computational software system based on concepts from nonlinear systems (chaos) theory with mobile access to assist in managing BD known as KIOS. KIOS tracks interacting symptoms to determine theprecise state of a BD patient. Once the patient's state is identified and the trajectory of the patient established, specific advice is generated to help manage the course of the disease. KIOS also provides analytics that can be used by clinicians and researchers to track outcomes and the course of illness. A 12-week field test was completed.
In 20 BD subjects, use of KIOS was associated with improvements in primary symptom categories of BD. Usability and generated advice were rated as a median of 6 out of a maximum of 7.
The KIOS focus on change illuminates problems in the same way that humans experience them, implying that the future state will be consequent to changes made to impact the current state. Randomized clinical trial is indicated.
双相情感障碍(BD)的自我管理是治疗的重要组成部分。
我们开发了一种基于非线性系统(混沌)理论概念的患者为中心的计算软件系统,具有移动访问功能,以帮助管理称为 KIOS 的 BD。KIOS 跟踪相互作用的症状,以确定 BD 患者的确切状态。一旦确定了患者的状态并确定了患者的轨迹,就会生成特定的建议来帮助管理疾病的进程。KIOS 还提供了分析工具,临床医生和研究人员可以使用这些工具来跟踪结果和疾病的进程。完成了为期 12 周的现场测试。
在 20 名 BD 受试者中,使用 KIOS 与 BD 的主要症状类别的改善相关。可用性和生成的建议被评为最高 7 分中的 6 分。
KIOS 对变化的关注以人类体验问题的方式照亮问题,这意味着未来的状态将取决于对当前状态的改变。需要进行随机临床试验。