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Collaborative Research: Disruption and Resilience in Healthcare Routines Following Adverse Events

合作研究：不良事件后医疗保健常规的中断和恢复力

基本信息

批准号：
2120530
负责人：
Brian Pentland
金额：
$ 31.02万
依托单位：
Michigan State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120530&HistoricalAwards=false
关键词：
Collaborative Research Disruption Resilience Healthcare

项目摘要

When routines are disrupted, people want to get back to normal. If the disruption is minor, like a flat tire, recovery is easy. If the disruption is major, recovery may be more difficult. For example, the shutdowns caused by the COVID pandemic forced doctors, nurses, and other clinical staff to find new ways to care for their patients. This research will use this example to study the effects of disruptions on healthcare routines. The expectation is that routines will “bounce back” from minor disruptions, but the effects of major disruptions are more difficult to predict. After major disruptions, some routines may return to normal, while others may not. The goal of this project is to discover basic mechanisms that influence stability and change in routines. To understand what makes some routines stronger than others, the effects of the COVID pandemic will be studied in four medical fields at the University of Rochester Medical Center: dermatology, orthopedics, oncology, and cardiology. Data from electronic health records will be used to study the effects of shutdowns and other kinds of disruptions, such as changes in software and billing codes. Tools from network science will be used to model routines as patterns of action. These methods will allow comparisons to be made between patterns of action before and after a disruption with great precision. The extent to which the strength of a routine depends on the structure of the action pattern itself will be examined. Data will be produced on outpatient clinical routines during the COVID-19 pandemic along with a variety of materials to communicate the findings with a broader audience. Ultimately, this research will lead to a better understanding of how institutional routines can be made more reliable and effective in the face of disasters large and small.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

当日常生活被打乱时，人们想要回归正常。如果影响很小，比如爆胎，恢复起来就很容易。如果破坏严重，恢复可能会更加困难。例如，COVID大流行导致的停工迫使医生、护士和其他临床工作人员寻找照顾患者的新方法。本研究将使用这个例子来研究中断对医疗保健程序的影响。人们的期望是，日常工作将从轻微的中断中“反弹”，但重大中断的影响更难预测。在受到重大干扰后，一些日常活动可能会恢复正常，而另一些则可能不会。该项目的目标是发现影响例程稳定性和变化的基本机制。为了了解是什么让一些常规比其他常规更强大，罗切斯特大学医学中心将在四个医学领域研究COVID大流行的影响：皮肤病学、骨科、肿瘤学和心脏病学。来自电子健康记录的数据将用于研究关闭和其他类型中断的影响，例如软件和计费代码的变化。来自网络科学的工具将用于将例程建模为行为模式。这些方法可以非常精确地对破坏前后的行为模式进行比较。一个例程的强度在多大程度上取决于动作模式本身的结构，这个问题将被研究。将提供2019冠状病毒病大流行期间门诊临床常规的数据以及各种材料，以便与更广泛的受众交流调查结果。最终，这项研究将使人们更好地理解，在面对大大小小的灾害时，如何使制度惯例更加可靠和有效。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。