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本质上复杂的慢性疾病，其特征是反复出现、剧烈的情绪变化。双相情感障碍的治疗通常包括药物、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颖的计算工具，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，该计算工具将揭示双相情感障碍特征的潜在动态相互作用。这些新知识将既可用作评估治疗方案疗效的研究工具，也可用作心理健康提供者的决策平台，以确定个性化的疾病表达模式，从而指导干预措施并提出基于证据的治疗策略。这种新颖的计算工具的开发有可能对公共健康产生深远的影响并取得重大的商业成功。该 I 期研究有四个具体目标： 具体目标 1. 确定关键的医疗和行为变量、参数和相互作用 具体目标 2. 使用软件识别双相情感障碍患者的显着变化 具体目标 3. 将专家建议输入知识库 具体目标 4. 建立用户界面并测试可用性 公共卫生相关性：双相情感障碍与高发病率、残疾和过早死亡有关。双相情感障碍是全球十大导致残疾的主要原因之一，在美国，其终生患病率估计为 4.5%。双相情感障碍对患者生活的许多方面都有重大影响，并且是重大经济负担的一个来源，美国每年的直接和间接费用估计约为 706 亿美元。开发可以分析双相情感障碍患者数据以评估治疗效果并为干预措施提供指导的计算机软件将对公众健康产生重大影响。