Implementation methodology from a social systems informatics and engineering perspective applied to a parenting training program.
Implementation methodology from a social systems informatics and engineering perspective applied to a parenting training program.
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从社会系统、信息学和工程学的角度应用于育儿培训计划的实施方法。
DOI:
10.1037/fsh0000590
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发表时间:
2021-03
期刊:
影响因子:
--
通讯作者:
Brown CH
中科院分区:
文献类型:
--
作者:
Gallo CG;Berkel C;Mauricio A;Sandler I;Wolchik S;Villamar JA;Mehrotra S;Brown CH
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 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, facilitate a program’s implementation, and produce knowledge for the field.
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影响因子:
3.6
作者:
Inoue M;Ogihara M;Hanada R;Furuyama N
通讯作者:
Furuyama N
DOI:
10.1186/1748-5908-4-50
发表时间:
2009-08-07
期刊:
Implementation science : IS
影响因子:
--
作者:
Damschroder LJ;Aron DC;Keith RE;Kirsh SR;Alexander JA;Lowery JC
通讯作者:
Lowery JC
DOI:
10.1007/s11121-016-0738-0
发表时间:
2018-07
期刊:
Prevention science : the official journal of the Society for Prevention Research
影响因子:
--
作者:
Berkel C;Sandler IN;Wolchik SA;Brown CH;Gallo CG;Chiapa A;Mauricio AM;Jones S
通讯作者:
Jones S
DOI:
10.1007/s10488-014-0538-4
发表时间:
2015-09
影响因子:
2.6
作者:
Gallo, Carlos;Pantin, Hilda;Villamar, Juan;Prado, Guillermo;Tapia, Maria;Ogihara, Mitsunori;Cruden, Gracelyn;Brown, C. Hendricks
通讯作者:
Brown, C. Hendricks
影响因子:
120.7
作者:
Begg, C;Cho, M;Stroup, DF
通讯作者:
Stroup, DF