The value of implementation frameworks: Using the active implementation frameworks to guide system-wide implementation of Collaborative Problem Solving.

In the last decade, many implementation frameworks have emerged that consolidate the research on implementation science, guiding purveyors and service agencies in improving implementation of evidence-based practices (EBPs). In this paper, we describe how the purveyor of one EBP utilized the active implementation frameworks (AIFs) to define and standardize strategies for site-wide implementation. We illustrate what implementation looked like before and after using AIFs to understand implementation, as well as some ways in which using the AIFs helped the purveyor identify, and then overcome, barriers to implementation. This paper provides a model for others who seek to use AIFs to guide their implementation practices, or more broadly, an illustration of how to use any implementation framework to ensure best practices in implementation.

Researching the Impact of Service provider Education (RISE) Project - a multiphase mixed methods protocol to evaluate implementation acceptability and feasibility.

BACKGROUND: Health and social service providers receive limited education on recognizing and responding to family violence. With adequate education, providers could be prepared to identify individuals subjected to family violence and help reduce the risk of associated impairment. Informed by the Active Implementation Frameworks, our research will determine the scope of strategies needed for the uptake and sustainability of educational interventions focused on family violence for providers. It will also determine the acceptability, feasibility, and proof-of-concept for a new educational intervention, called VEGA (Violence, Evidence, Guidance, Action), for developing and improving primary care provider knowledge and skills in family violence. METHODS: This paper details the protocol for the Researching the Impact of Service provider Education (RISE) Project. The RISE Project follows a sequential multiphase mixed method research design; qualitative and quantitative data are being collected and integrated over three conceptually and methodologically linked research phases. Activities primarily occur in Ontario, Alberta, and Quebec. Phase 1 uses a sequential exploratory mixed method research design to characterize the scope and salience of learning and implementation needs and preferences for family violence education. Phase 2 will use an embedded mixed method research design to determine whether VEGA technology supports providers to achieve their family violence learning goals with effectiveness, efficiency, and satisfaction. Phase 3 will use a concurrent mixed method research design to determine acceptability, feasibility, and proof-of-concept for evaluating whether VEGA improves primary care providers' knowledge and skills in family violence. This final phase will provide information on implementation strategies for family violence education in the "real world." It will also generate data on provider recruitment, retention, and data completeness, as well as exploratory estimates of the effect for provider outcome measures proposed for a randomized controlled trial. DISCUSSION: The RISE Project comprehensively integrates an implementation approach to improve family violence education for the health and social service professions. It will provide important information about factors that could influence the uptake and effectiveness of a health profession's educational intervention into the real world, as well as provide foundational evidence concerning the tenability of using a randomized controlled trial to evaluate the impact of VEGA in primary care settings.

The Use of Implementation Science Tools to Design, Implement, and Monitor a Community-Based mHealth Intervention for Child Health in the Amazon.

It is essential to analyze the local context and implementation components to effectively deliver evidence-based solutions to public health problems. Tools provided by the field of implementation science can guide practitioners through a comprehensive implementation process, making innovations more adaptable, efficient, and sustainable. It is equally important to report on the design and implementation process so others can analyze, replicate, and improve on the progress made from an intervention. The current study reports on the design and implementation of an mHealth intervention to improve child health in the Amazon of Peru. The study aims to provide insight into how an implementation science tool can be used to improve implementation and reporting of an evidence-based intervention in a global health setting. Methods: Implementation of a community-based mHealth intervention is analyzed and reported through the lens of the Active Implementation Frameworks (AIF). The AIF is used to analyze the design, implementation, adaptation, and monitoring of the intervention. The implementation process is categorized in the four stages of implementation. The results of the analysis and subsequent implementation activities are reported. Results: The exploration stage was used to learn about the local context in the Amazonian communities and identify an evidence-based solution to address poor child health. Several potential solutions were combined to create an innovative mHealth tool. During the installation stage, the stakeholders worked together to improve the intervention and plan for implementation through human-centered design. The providers in the field were trained and data was gathered to monitor implementation. During initial implementation stage, electronic tablets were distributed to community health agents and continuous quality improvement activities allowed for rapid improvements to be implemented. The intervention moved on to full implementation stage as acceptance and fidelity approached 100%. Conclusion: The AIF highlighted several potential barriers to implementation that may have been overlooked without the guidance of a science-based implementation tool. Reporting on the implementation process shows how implementation science tools can be used to foresee and address potential threats to successful implementation. The results of this study provide insight into the components of implementation in Amazonian communities, as well as the process of using implementation science tools in any global health setting.

Advancing implementation frameworks with a mixed methods case study in child behavioral health.

Despite a growing policy push for the provision of services based on evidence, evidence-based treatments for children and youth with mental health challenges have poor uptake, yielding limited benefit. With a view to improving implementation in child behavioral health, we investigated a complementary implementation approach informed by three implementation frameworks in the context of implementing motivational interviewing in four child and youth behavioral health agencies: the Active Implementation Frameworks (AIF) (process), the Consolidated Framework for Implementation Research (factors), and the Implementation Outcomes Framework (evaluation). The study design was mixed methods with embedded interrupted time series and motivational interviewing (MI) fidelity was the primary outcome. Focus groups and field notes informed perspectives on the implementation approach, and a questionnaire explored the salience of Consolidated Framework for Implementation Research (CFIR) factors. Findings validate the process guidance provided by the AIF and highlight CIFR factors related to implementation success. Novel CFIR factors, not elsewhere reported in the literature, are identified that could potentially extend the framework if validated in future research. Introducing fidelity measurement in practice proved challenging and was not sustained beyond the study. A complementary implementation approach was successful in implementing MI in child behavioral health agencies. In contrast with the typical train and hope approach to implementation, practice change did not occur immediately post-training but emerged over a 7 month period of consultation and practice following a discrete interactive training period. The saliency of CFIR constructs aligned with findings from studies conducted in other contexts, demonstrating external validity and highlighting common factors that can focus planning and measurement.

The Active Implementation Frameworks: A roadmap for advancing implementation of Comprehensive Medication Management in Primary care.

Implementation of evidence-based health services interventions is complex and often limited in scope. The Active Implementation Frameworks (AIFs) are an evidence-based set of frameworks to use when attempting to put into practice any innovation of known dimensions. This article describes the novel application of the AIFs to facilitate the implementation and improvement of Comprehensive Medication Management (CMM) in primary care practices to optimize medication use and improve care for patients.