Gallo Carlos G, Berkel Cady, Mauricio Anne, Sandler Irwin, Wolchik Sharlene, Villamar Juan A, Mehrotra Sanjay, Brown C Hendricks
Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University.
Integrated Behavior Health, College of Health Solutions, AZ State University.
Fam Syst Health. 2021 Mar;39(1):7-18. doi: 10.1037/fsh0000590.
For implementation of an evidence-based program to be effective, efficient, and equitable across diverse populations, we propose that researchers adopt a systems approach that is often absent in efficacy studies. To this end, we describe how a computer-based monitoring system can support the delivery of the New Beginnings Program (NBP), a parent-focused evidence-based prevention program for divorcing parents.
We present NBP from a novel systems approach that incorporates social system informatics and engineering, both necessary when utilizing feedback loops, ubiquitous in implementation research and practice. Examples of two methodological challenges are presented: how to monitor implementation, and how to provide feedback by evaluating system-level changes due to implementation.
We introduce and relate systems concepts to these two methodologic issues that are at the center of implementation methods. We explore how these system-level feedback loops address effectiveness, efficiency, and equity principles. These key principles are provided for designing an automated, low-burden, low-intrusive measurement system to aid fidelity monitoring and feedback that can be used in practice.
As the COVID-19 pandemic now demands fewer face-to-face delivery systems, their replacement with more virtual systems for parent training interventions requires constructing new implementation measurement systems based on social system informatics approaches. These approaches include the automatic monitoring of quality and fidelity in parent training interventions. Finally, we present parallels of producing generalizable and local knowledge bridging systems science and engineering method. This comparison improves our understanding of system-level changes, facilitates a program's implementation, and produces knowledge for the field. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
为使循证项目在不同人群中有效、高效且公平地实施,我们建议研究人员采用一种在疗效研究中常被忽视的系统方法。为此,我们描述了一个基于计算机的监测系统如何支持“新起点项目”(NBP)的实施,该项目是以父母为重点的针对离婚父母的循证预防项目。
我们从一种新颖的系统方法介绍NBP,该方法融合了社会系统信息学和工程学,这两者在利用反馈回路时都是必要的,而反馈回路在实施研究和实践中无处不在。文中给出了两个方法学挑战的例子:如何监测实施情况,以及如何通过评估因实施而导致的系统层面变化来提供反馈。
我们引入系统概念并将其与这两个处于实施方法核心的方法学问题相关联。我们探讨这些系统层面的反馈回路如何体现有效性、效率和公平原则。这些关键原则用于设计一个自动化、低负担、低干扰的测量系统,以辅助保真度监测和反馈,供实际应用。
由于新冠疫情现在要求减少面对面的交付系统,用更多虚拟系统取代父母培训干预的面对面系统需要基于社会系统信息学方法构建新的实施测量系统。这些方法包括对父母培训干预的质量和保真度进行自动监测。最后,我们展示了产生可推广的本地知识以衔接系统科学和工程方法的相似之处。这种比较增进了我们对系统层面变化的理解,促进了项目的实施,并为该领域生成了知识。(《心理学文摘数据库记录》(c)2021美国心理学会,保留所有权利)