System Dynamics Modeling of Multi-level Coping Responses to Understand Resilience

多层次应对反应的系统动力学建模以了解弹性

• 批准号: 8833298
• 负责人: Bradley Morrison
• 金额: $ 26.97万
• 依托单位: BRANDEIS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-10 至 2018-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8833298
• 关键词: Accident and Emergency department; Acute; Adaptive Behaviors; Affect; American; Behavior; Behavioral; Biological Models; Buffers; Cardiac; Caring; Characteristics; Childhood; Complex; Computer Simulation; Computing Methodologies; Coupling; Crowding; Development; Disasters; Elderly; Elements; Emergency response; Exhibits; Feedback; Health; Health Professional; Healthcare; Hospitals; Individual; Intervention; Methods; Modeling; Morbidity - disease rate; NIH Program Announcements; National Institute of General Medical Sciences; National Institute of Mental Health; Outcome Measure; Pain management; Patients; Performance; Plant Roots; Pneumonia; Policies; Process Measure; Provider; Public Health; Public Policy; Quality of Care; Research; Resistance; Resources; Role; Scientist; Services; Signal Transduction; Site; Social Behavior; Solutions; Source; System; Testing; Thinking; behavioral/social science; coping; experience; model development; mortality; operation; public health relevance; resilience; response; screening; social; theories

DESCRIPTION (provided by applicant): ED / hospital crowding is a major public health problem that leads to degradation in both process and outcome measures across a wide range of health conditions, including acute cardiac care, care for the elderly, pneumonia, pain management, pediatric care, and public health screening. The crowding problem is an example of complex social behavior that emerges from the interaction of individual elements (patients, providers, resources, policies, practices, health conditions, and others) of the system. The crowding problem has exhibited "policy resistance": despite being a source of concern for 20 years, it continues worsen. Even more insidiously, many current proposed solutions may have feedbacks that exacerbate the problem in a vicious cycle. Because of its dynamic complexity, delayed feedback loops, and social- behavioral components, the problem seems ideally suited to a system dynamics approach. For example, a system dynamics understanding of crowding would be useful in the following ways: * Developing early warning signals of and responses to a potential overcrowding crisis * Identifying leverage points for managing dynamic and unexpected changes in patient demand or organizational capacity to respond * Identifying potentially dysfunctional interventions to be avoided, i.e., that might provide short term relief but ultimately make the overall problem worse. The broad, overall objective of this project is use system dynamics modeling to study the problem of emergency department (ED) and hospital crowding in order to develop theory and inform departmental, organizational, regional, and societal policies and interventions aimed at alleviating it. A trans-disciplinary research team comprising scientists with expertise in the behavioral and social sciences as well as in computational modeling and systems thinking will use a single healthcare organization that has experienced severe crowding problems as a test site for the model development. The team will construct system dynamic models of the ED - hospital crowding problem, tightly grounded in the individual and collective behavior of people in a focal ED. These models will focus on ordinary operations, i.e., not external disaster scenarios. The models will study the ways in which crowded EDs experience perturbations to routine operations, how these perturbations occasion multi-level responses to cope and recover, and the role of resilience in the behavior of the system. The models will be used for exploration and experimentation to identify characteristic behaviors, evaluate potential interventions, and identif leverage points and critical variables supporting resilient performance. The project aims to use the system dynamics models to develop theory to inform our understanding of how the ED, in the context of the broader healthcare and emergency response system, adapts to varying demands for service and the consequences of this adaptive behavior. It would thus be most suitable for NIGMS as primary funder, with the NIMH as secondary.

描述（由申请人提供）：急诊室/医院拥挤是一个主要的公共卫生问题，导致各种健康状况的过程和结果指标下降，包括急性心脏病护理、老年人护理、肺炎、疼痛管理、儿科护理和公共卫生筛查。 拥挤问题是复杂社会行为的一个例子，它是由系统中各个元素（患者、提供者、资源、政策、实践、健康状况等）的相互作用而产生的。拥挤问题已经表现出“政策阻力”：尽管20年来一直令人担忧，但它仍在继续恶化。更阴险的是，许多当前提出的解决方案可能会产生反馈，从而加剧问题的恶性循环。 由于其动态复杂性、延迟反馈循环和社会行为成分，该问题似乎非常适合系统动力学方法。 例如，对拥挤的系统动力学理解将在以下方面发挥作用： * 制定潜在过度拥挤危机的预警信号和应对措施 * 确定管理患者需求或组织响应能力的动态和意外变化的杠杆点 * 确定要避免的潜在功能失调干预措施，即可能提供短期缓解但最终使整体问题变得更糟。 该项目的总体目标是利用系统动力学模型来研究急诊科 (ED) 和医院拥挤问题，以发展理论并为部门、组织、区域和社会政策和干预措施提供信息，以缓解这一问题。 由具有行为和社会科学以及计算建模和系统思维方面的专业知识的科学家组成的跨学科研究团队将使用经历过严重拥挤问题的单一医疗机构作为模型开发的测试场所。该团队将构建急诊室（医院拥挤问题）的系统动态模型，该模型紧密基于重点急诊室中人们的个人和集体行为。这些模型将侧重于普通操作，即不是外部灾难场景。 这些模型将研究拥挤的急诊科经历日常操作扰动的方式、这些扰动如何引发多级响应来应对和恢复，以及弹性在系统行为中的作用。 这些模型将用于探索和实验，以识别特征行为，评估潜在的干预措施，并识别支持弹性性能的杠杆点和关键变量。该项目旨在利用系统动力学模型来发展理论，帮助我们了解急诊室如何在更广泛的医疗保健和应急响应系统的背景下适应不同的服务需求以及这种适应性行为的后果。 因此，最适合 NIGMS 作为主要资助者，NIMH 作为次要资助者。