Keep It Up! 3.0: Study protocol for a type III hybrid implementation-effectiveness cluster-randomized trial.

BACKGROUND: Despite evidence that eHealth approaches can be effective in reducing HIV risk, their implementation requirements for public health scale up are not well established, and effective strategies to bring these programs into practice are still unknown. Keep It Up! (KIU!) is an online program proven to reduce HIV risk among young men who have sex with men (YMSM) and ideal candidate to develop and evaluate novel strategies for implementing eHealth HIV prevention programs. KIU! 3.0 is a Type III Hybrid Effectiveness-Implementation cluster randomized trial designed to 1) compare two strategies for implementing KIU!: community-based organizations (CBO) versus centralized direct-to-consumer (DTC) recruitment; 2) examine the effect of strategies and determinants on variability in implementation success; and 3) develop materials for sustainment of KIU! after the trial concludes. In this article, we describe the approaches used to achieve these aims. METHODS: Using county-level population estimates of YMSM, 66 counties were selected and randomized 2:1 to the CBO and DTC approaches. The RE-AIM model was used to drive outcome measurements, which were collected from CBO staff, YMSM, and technology providers. Mixed-methods research mapped onto the domains of the Consolidated Framework for Implementation Research will examine determinants and their relationship with implementation outcomes. DISCUSSION: In comparing our implementation recruitment models, we are examining two strategies which have shown effectiveness in delivering health technology interventions in the past, yet little is known about their comparative advantages and disadvantages in implementation. The results of the trial will further the understanding of eHealth prevention intervention implementation.

Parenting Interventions in Pediatric Primary Care: A Systematic Review.

CONTEXT: More than 4 decades of research indicate that parenting interventions are effective at preventing and treating mental, emotional, and behavioral disorders in children and adolescents. Pediatric primary care is a viable setting for delivery of these interventions. OBJECTIVE: Previous meta-analyses have shown that behavioral interventions in primary care can improve clinical outcomes, but few reviews have been focused specifically on the implementation of parenting interventions in primary care. We aimed to fill this gap. DATA SOURCES: We reviewed 6532 unique peer-reviewed articles published in PubMed, the Cumulative Index to Nursing and Allied Health Literature, and PsycInfo. STUDY SELECTION: Articles were included if at least part of the intervention was delivered in or through primary care; parenting was targeted; and child-specific mental, emotional, and behavioral health outcomes were reported. DATA EXTRACTION: Articles were reviewed in Covidence by 2 trained coders, with a third coder arbitrating discrepancies. RESULTS: In our review of 40 studies, most studies were coded as a primary. Few researchers collected implementation outcomes, particularly those at the service delivery system level. LIMITATIONS: Including only published articles could have resulted in underrepresentation of implementation-related data. CONCLUSIONS: Parenting interventions delivered and implemented with fidelity in pediatric primary care could result in positive and equitable impacts on mental, emotional, and behavioral health outcomes for both parents and their children. Future research on the implementation strategies that can support adoption and sustained delivery of parenting interventions in primary care is needed if the field is to achieve population-level impact.

Implementation methodology from a social systems informatics and engineering perspective applied to a parenting training program.

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).