Discrete Event Simulation of Mental Health Disorders in Medicaid Populations

医疗补助人群心理健康障碍的离散事件模拟

• 批准号: 7540301
• 负责人: Harry Jerome Smolen
• 金额: $ 22.87万
• 依托单位: MEDICAL DECISION MODELING, INC.
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-30 至 2011-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7540301
• 关键词: Affect; Anxiety; Bipolar Disorder; Condition; Conscious; Data; Data Sources; Development; Disease; Disease Progression; Effectiveness of Interventions; Environment; Event; General Practitioners; Goals; Health; Health Personnel; Health Resources; Healthcare; Individual; Intervention; Marketing; Medicaid; Medical; Mental Depression; Mental Health; Mental Health Services; Mental disorders; Modeling; Other Resources; Outcome; Output; Panic Disorder; Patients; Persons; Phase; Physicians; Planet Mars; Population; Prevalence; Productivity; Professional counselor; Provider; Psychiatrist; Public Health; Relapse; Research Infrastructure; Resource Allocation; Resources; Schizophrenia; Simulate; Source; Symptoms; Time; Validation; cost; cost effectiveness; data modeling; day; disability; models and simulation; pressure; simulation; technological innovation

DESCRIPTION (provided by applicant): The Phase 1 project goal is to develop a quantitative model that allows healthcare decision makers to analyze the effectiveness, costs, and cost-effectiveness of interventions for patients with schizophrenia in a state Medicaid population. Furthermore, a discrete-event operational planning submodel will evaluate how schizophrenia and associated interventions affect resource demand and utilization on a societal level, and conversely, how the availability of intervention resources affects the health outcomes in persons with schizophrenia. If Phase 1 proves feasible, the Phase 2 project will develop a model that adapts to any state Medicaid population, analyzing many prevalent mental health conditions (adding depression, anxiety, panic disorder, and bi-polar disorder). The burden of mental illness on health and productivity is substantial and likely to increase considerably in the decades to come. Mental illness is highly prevalent and associated with considerable disability, however, a substantial percentage of individuals with mental illness do not receive any health care for their condition. To this end, MDM proposes the following specific aims: 1. Determine conceptual framework, data needs, and data sources of the schizophrenia disease progression-operational planning model. 2. Extract required data for the model and create parameterized distributions for model inputs. 3. Incrementally develop, verify, and validate disease progression and operational planning submodels. 4. Demonstrate the value of the disease progression-operational planning model by analyzing the effects of increasing key schizophrenia treatment resources on primary outputs (e.g., costs, proportion of days without relapse). PUBLIC HEALTH RELEVANCE: The U.S. spends tens of billions of dollars per year on mental health services, and considerable pressure exists on U.S. payers, especially public payers, to deliver efficient and cost-effective mental health services. In such resource-constrained, cost-conscious environments the proposed discrete-event simulation model can be used to assist in the development of efficient and cost-effective mental health resource allocation plans.

描述（由申请人提供）：第一阶段的项目目标是开发一个定量模型，使医疗保健决策者能够分析在州医疗补助人口中对精神分裂症患者进行干预的有效性、成本和成本效益。此外，离散事件操作规划子模型将评估精神分裂症和相关干预措施如何影响社会层面的资源需求和利用，反过来，干预资源的可用性如何影响精神分裂症患者的健康结果。如果第一阶段被证明是可行的，第二阶段项目将开发一个模型，适用于任何州的医疗补助人群，分析许多普遍的精神健康状况（包括抑郁症、焦虑症、恐慌症和双相情感障碍）。精神疾病对健康和生产力的负担是巨大的，而且在未来几十年可能会大大增加。精神疾病非常普遍，并与相当大的残疾有关，然而，相当大比例的精神疾病患者没有得到任何有关其病情的保健。为此，MDM提出了以下具体目标：确定精神分裂症疾病进展-操作计划模型的概念框架、数据需求和数据源。2. 提取模型所需的数据，并为模型输入创建参数化分布。3. 逐步开发、验证和确认疾病进展和操作计划子模型。4. 通过分析增加关键精神分裂症治疗资源对主要产出（如成本、无复发天数比例）的影响，证明疾病进展-操作规划模型的价值。公共卫生相关性：美国每年在精神卫生服务上花费数百亿美元，美国的支付者，特别是公共支付者面临着相当大的压力，要提供高效和具有成本效益的精神卫生服务。在这种资源受限、成本敏感的环境中，所提出的离散事件模拟模型可用于协助制定高效且具有成本效益的精神卫生资源分配计划。