Nonlinear Computation Tool to Chart Trajectories of Bipolar Disorder

用于绘制双相情感障碍轨迹的非线性计算工具

• 批准号: 8240987
• 负责人: CHARLES LEE BOWDEN
• 金额: $ 24.59万
• 依托单位: BIOMEDICAL DEVELOPMENT CORPORATION
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-03-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8240987
• 关键词: Algorithms; Behavior; Behavioral; Behavioral Model; Bipolar Disorder; Chaos Theory; Chronic Disease; Clinical; Clinical Trials; Code; Cognition; Combination Medication; Complex; Computer software; Computers; Data; Data Set; Development; Dimensions; Direct Costs; Doctor of Medicine; Doctor of Philosophy; Economic Burden; Evidence based treatment; Facilities and Administrative Costs; Feasibility Studies; Goals; Guidelines; Health; Health Personnel; Health Sciences; Human; Individual; Intervention; Knowledge; Lead; Life; Lifestyle Therapy; Manic; Maps; Measurement; Medical; Mental Depression; Mental Health; Methodology; Methods; Moods; Morbidity - disease rate; Online Systems; Outcome; Patients; Pattern; Phase; Physiological; Premature Mortality; Prevalence; Principal Investigator; Provider; Public Health; Recommendation; Recurrence; Reporting; Research; Research Personnel; Social support; Software Engineering; Source; Surveys; Symptoms; System; Systems Theory; Technology; Testing; Texas; TimeLine; Treatment Effectiveness; Treatment Protocols; Universities; Web communication; Writing; base; computerized tools; disability; experience; innovation; intervention program; knowledge base; novel; phase 1 study; research study; software systems; success; tool; treatment strategy; usability

DESCRIPTION (provided by applicant): Bipolar disorder is an inherently complex chronic illness characterized by recurrent, dramatic mood changes. Management of bipolar disorder typically consists of a combination of medication, therapy, and lifestyle adjustments. However, clinicians lack tools to select optimal treatments tailored to the individualized needs of the patient. The goal of this project is to develop and validate a novel computational tool to aid mental health researchers and providers in assessing trajectories of bipolar disorder. Based on concepts from nonlinear systems (chaos) theory, this computational tool will reveal underlying dynamic interactions that characterize bipolar disorder. This new knowledge will be used both as a research tool to assess the efficacy of treatment regimens, and as a decisional platform for mental health providers to identify individualized patterns of illness expression that can guide interventions and suggest evidence based treatment strategies. The development of this novel computational tool has the potential to have a profound impact on public health and achieve significant commercial success. This Phase I study has four Specific Aims: Specific Aim 1. Identify key medical and behavioral variables, parameters, and interactions Specific Aim 2. Use software to identify significant changes in bipolar patients Specific Aim 3. Enter expert advice into knowledge base Specific Aim 4. Establish user interface and test usability PUBLIC 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 with a lifetime prevalence estimated to be 4.5% in the US. Bipolar disorder has a substantial effect on many aspects of a patient's life and is a source of significant economic burden, with US direct and indirect costs estimated to be about $70.6 billion annually. The development of computer software that could analyze bipolar disorder patient data to evaluate the effectiveness of treatments and provide guidance for interventions would have a significant impact on public health.

描述（由申请人提供）：双相情感障碍是一种固有的复杂慢性疾病，其特征是反复发作，剧烈的情绪变化。双相情感障碍的管理通常包括药物、治疗和生活方式调整的结合。然而，临床医生缺乏工具来选择适合患者个性化需求的最佳治疗方法。该项目的目标是开发和验证一种新的计算工具，以帮助心理健康研究人员和提供者评估双相情感障碍的轨迹。基于非线性系统（混沌）理论的概念，这个计算工具将揭示双相情感障碍特征的潜在动态相互作用。这一新知识将被用作评估治疗方案有效性的研究工具，并作为精神卫生提供者确定个性化疾病表现模式的决策平台，从而指导干预措施并提出基于证据的治疗策略。这种新型计算工具的开发有可能对公共卫生产生深远影响，并取得重大的商业成功。这个第一阶段的研究有四个具体目标：确定关键的医学和行为变量、参数和相互作用使用软件识别双相情感障碍患者的显著变化在知识库中输入专家建议。建立用户界面并测试可用性