05), but not for discrete trial training or visual supports. However, this association became nonsignificant with the introduction of implementation climate into the models. Optimal leadership profiles were linked to more positive teacher/staff-reported implementation climate, compared with undifferentiated profiles (p less then .01), but found no association between implementation climate and fidelity. Overall, the results of this study indicate that the role of principal leadership in EBP implementation is complex, which has implications for fostering a conducive organizational implementation context in schools. (PsycInfo Database Record (c) 2020 APA, all rights reserved).A large number of Internet websites, mobile apps, wearable devices, and video games that are hoped to improve behavioral, cognitive, and affective targets associated with mental health have been developed. Although technology provides the promising potential to help spread evidence-based mental health treatments, that potential is still largely unrealized. The vast majority of technology-based mental health products, deemed digital mental health interventions (DMHIs), have not been tested and show little fidelity to evidence-based treatments. Furthermore, best practices around the use of technologies in clinical services are underdeveloped and few clinicians have been trained to integrate these tools in their practice. We present an overview of DMHIs and discuss key aspects related to their implementation. We organize these aspects according to the Consolidating Framework for Implementation Research, a framework that identifies constructs related to effective implementation. These constructs are categorized into 5 domains including characteristics of DMHIs, the individuals involved, associated processes, the inner setting, and the outer setting. Our goal is to highlight key areas of consideration for leveraging technology to support the implementation of evidence-based treatments and to emphasize challenges and opportunities that come from using technology to scale evidence-based mental health treatments. (PsycInfo Database Record (c) 2020 APA, all rights reserved).U.S. health care systems are tasked with alleviating the burden of mental health, but are frequently underprepared and lack workforce and resource capacity to deliver services to all in need. Digital mental health interventions (DMHIs) can increase access to evidence-based mental health care. However, DMHIs commonly do not fit into the day-to-day activities of the people who engage with them, resulting in a research-to-practice gap for DMHI implementation. For health care settings, differences between digital and traditional mental health services make alignment and integration challenging. Specialized attention is needed to improve the implementation of DMHIs in health care settings so that these services yield high uptake, engagement, and sustainment. The purpose of this article is to enhance efforts to integrate DMHIs in health care settings by proposing implementation strategies, selected and operationalized based on the discrete strategies established in the Expert Recommendations for Implementing Change project, that align to DMHI-specific barriers in these settings. https://www.selleckchem.com/products/Vorinostat-saha.html Guidance is offered in how these strategies can be applied to DMHI implementation across four phases commonly distinguished in implementation science using the Exploration, Preparation, Implementation, Sustainment Framework. Next steps to advance research in this area and improve the research-to-practice gap for implementing DMHIs are recommended. Applying implementation strategies to DMHI implementation will enable psychologists to systematically evaluate this process, which can yield an enhanced understanding of the factors that facilitate implementation success and improve the translation of DMHIs from controlled trials to real-world settings. (PsycInfo Database Record (c) 2020 APA, all rights reserved).Although classic models of implementation emphasized the importance of innovation characteristics in their adoption and sustained use, contemporary implementation research and practice have deprioritized these variables. Human-centered design (HCD) is an approach that grounds product development in information collected about the people and settings that will ultimately use those products. HCD has strong roots in psychological theory, but its application is typically limited to the development of digital technologies. HCD is rarely applied to the design of psychosocial innovations-including both service-recipient-facing interventions and implementation strategies-within the applied psychological disciplines. The current article reviews the psychological origins of HCD and details pathways through which HCD theories and methods can be leveraged to advance the "core tasks" of contemporary implementation research and practice in psychology. These include (a) identification of multilevel implementation determinants through specification of user needs and contexts; (b) tailoring of implementation strategies, such as contextually driven intervention redesign; and (c) evaluating implementation mechanisms and outcomes, including disentangling how the core HCD focus on usability relates to closely associated implementation variables such as acceptability, feasibility, and appropriateness. Collectively, these applications provide directions through which to leverage the mature field of HCD, maximize psychology's return on its early theoretical investment, and promote the large-scale impact of findings from across the applied fields of psychology. (PsycInfo Database Record (c) 2020 APA, all rights reserved).The public health impact of psychological science is maximized when it is disseminated clearly and compellingly to audiences who can act on it. Dissemination research can generate knowledge to help achieve this, but dissemination is understudied in the field of implementation science. As a consequence, the designs of dissemination strategies are typically driven by anecdote, not evidence, and are often ineffective. We address this issue by synthesizing key theory and findings from consumer psychology and detailing a novel research approach for "data-driven dissemination." The approach has 3 parts (a) formative audience research, which characterizes an audience's awareness about, adoption of, and attitudes toward an intervention, as well as preferences for receiving information about it; (b) audience segmentation research, which identifies meaningful subgroups within an audience to inform the tailoring of dissemination strategies; and (c) dissemination effectiveness research, which determines the strategies that are most effective.