Carlos G Gallo1, Cady Berkel2, Anne Mauricio3, Irwin Sandler3, Sharlene Wolchik3, Juan A Villamar1, Sanjay Mehrotra4, C Hendricks Brown1. 1. Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University. 2. Integrated Behavior Health, College of Health Solutions, AZ State University. 3. REACH Institute, Department of Psychology, AZ State University. 4. Department of Industrial Engineering and Management Sciences, Northwestern University.
Abstract
OBJECTIVE: 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. METHOD: 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. RESULTS: 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. DISCUSSION: 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).
OBJECTIVE: 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. METHOD: 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. RESULTS: 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. DISCUSSION: 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).
Authors: Denise C Gottfredson; Thomas D Cook; Frances E M Gardner; Deborah Gorman-Smith; George W Howe; Irwin N Sandler; Kathryn M Zafft Journal: Prev Sci Date: 2015-10
Authors: Carlos Gallo; Hilda Pantin; Juan Villamar; Guillermo Prado; Maria Tapia; Mitsunori Ogihara; Gracelyn Cruden; C Hendricks Brown Journal: Adm Policy Ment Health Date: 2015-09
Authors: Cady Berkel; Irwin N Sandler; Sharlene A Wolchik; C Hendricks Brown; Carlos G Gallo; Amanda Chiapa; Anne M Mauricio; Sarah Jones Journal: Prev Sci Date: 2018-07
Authors: S A Wolchik; S G West; I N Sandler; J Y Tein; D Coatsworth; L Lengua; L Weiss; E R Anderson; S M Greene; W A Griffin Journal: J Consult Clin Psychol Date: 2000-10
Authors: Laura J Damschroder; David C Aron; Rosalind E Keith; Susan R Kirsh; Jeffery A Alexander; Julie C Lowery Journal: Implement Sci Date: 2009-08-07 Impact factor: 7.327
Authors: Lauren S Wakschlag; Amy L Finlay-Jones; Leigha A MacNeill; Aaron J Kaat; C Hendricks Brown; Matthew M Davis; Patricia Franklin; Cady Berkel; Sheila Krogh-Jespersen; Justin D Smith Journal: Front Public Health Date: 2022-04-14