Identifying, developing, and testing implementation strategies are important goals of implementation science. However, these efforts have been complicated by the use of inconsistent language and inadequate descriptions of implementation strategies in the literature. The Expert Recommendations for Implementing Change (ERIC) study aimed to refine a published compilation of implementation strategy terms and definitions by systematically gathering input from a wide range of stakeholders with expertise in implementation science and clinical practice. Purposive sampling was used to recruit a panel of experts in implementation and clinical practice who engaged in three rounds of a modified Delphi process to generate consensus on implementation strategies and definitions. The first and second rounds involved Web-based surveys soliciting comments on implementation strategy terms and definitions. After each round, iterative refinements were made based upon participant feedback. The third round involved a live polling and consensus process via a Web-based platform and conference call. Participants identified substantial concerns with 31% of the terms and/or definitions and suggested five additional strategies. Seventy-five percent of definitions from the originally published compilation of strategies were retained after voting. Ultimately, the expert panel reached consensus on a final compilation of 73 implementation strategies. This research advances the field by improving the conceptual clarity, relevance, and comprehensiveness of implementation strategies that can be used in isolation or combination in implementation research and practice. Future phases of ERIC will focus on developing conceptually distinct categories of strategies as well as ratings for each strategy’s importance and feasibility. Next, the expert panel will recommend multifaceted strategies for hypothetical yet real-world scenarios that vary by sites’ endorsement of evidence-based programs and practices and the strength of contextual supports that surround the effort.

/pdf/a-refined-compilation-of-implementation-strategies-results-5ehy7cp7mn.pdf

A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project.

Implementation strategies have unparalleled importance in implementation science, as they constitute the ‘how to’ component of changing healthcare practice. Yet, implementation researchers and other stakeholders are not able to fully utilize the findings of studies focusing on implementation strategies because they are often inconsistently labelled and poorly described, are rarely justified theoretically, lack operational definitions or manuals to guide their use, and are part of ‘packaged’ approaches whose specific elements are poorly understood. We address the challenges of specifying and reporting implementation strategies encountered by researchers who design, conduct, and report research on implementation strategies. Specifically, we propose guidelines for naming, defining, and operationalizing implementation strategies in terms of seven dimensions: actor, the action, action targets, temporality, dose, implementation outcomes addressed, and theoretical justification. Ultimately, implementation strategies cannot be used in practice or tested in research without a full description of their components and how they should be used. As with all intervention research, their descriptions must be precise enough to enable measurement and ‘reproducibility.’ We propose these recommendations to improve the reporting of implementation strategies in research studies and to stimulate further identification of elements pertinent to implementation strategies that should be included in reporting guidelines for implementation strategies.

/pdf/implementation-strategies-recommendations-for-specifying-and-irqffw0b4m.pdf

Implementation strategies: recommendations for specifying and reporting

The past decade has seen considerable interest in the development and evaluation of complex interventions to improve health. Such interventions can only have a significant impact on health and health care if they are shown to be effective when tested, are capable of being widely implemented and can be normalised into routine practice. To date, there is still a problematic gap between research and implementation. The Normalisation Process Theory (NPT) addresses the factors needed for successful implementation and integration of interventions into routine work (normalisation). In this paper, we suggest that the NPT can act as a sensitising tool, enabling researchers to think through issues of implementation while designing a complex intervention and its evaluation. The need to ensure trial procedures that are feasible and compatible with clinical practice is not limited to trials of complex interventions, and NPT may improve trial design by highlighting potential problems with recruitment or data collection, as well as ensuring the intervention has good implementation potential. The NPT is a new theory which offers trialists a consistent framework that can be used to describe, assess and enhance implementation potential. We encourage trialists to consider using it in their next trial.

/pdf/normalisation-process-theory-a-framework-for-developing-1yqalresgk.pdf

Normalisation process theory: A framework for developing, evaluating and implementing complex interventions

Efforts to identify, develop, refine, and test strategies to disseminate and implement evidence-based treatments have been prioritized in order to improve the quality of health and mental health care delivery. However, this task is complicated by an implementation science literature characterized by inconsistent language use and inadequate descriptions of implementation strategies. This article brings more depth and clarity to implementation research and practice by presenting a consolidated compilation of discrete implementation strategies, based on a review of 205 sources published between 1995 and 2011. The resulting compilation includes 68 implementation strategies and definitions, which are grouped according to six key implementation processes: planning, educating, financing, restructuring, managing quality, and attending to the policy context. This consolidated compilation can serve as a reference to stakeholders who wish to implement clinical innovations in health and mental health care and can fac...

/pdf/a-compilation-of-strategies-for-implementing-clinical-4w7baimtsn.pdf

A compilation of strategies for implementing clinical innovations in health and mental health.

© 2016 Milbank Memorial Fund. Policy Points: Co-creation - collaborative knowledge generation by academics working alongside other stakeholders - is an increasingly popular approach to aligning research and service development. It has potential for "moving beyond the ivory towers" to deliver significant societal impact via dynamic, locally adaptive community-academic partnerships. Principles of successful co-creation include a systems perspective, a creative approach to research focused on improving human experience, and careful attention to governance and process. If these principles are not followed, co-creation efforts may fail. Context Co-creation - collaborative knowledge generation by academics working alongside other stakeholders - reflects a "Mode 2" relationship (knowledge production rather than knowledge translation) between universities and society. Co-creation is widely believed to increase research impact. Methods We undertook a narrative review of different models of co-creation relevant to community-based health services. We contrasted their diverse disciplinary roots and highlighted their common philosophical assumptions, principles of success, and explanations for failures. We applied these to an empirical case study of a community-based research-service partnership led by the Centre of Research Excellence in Quality and Safety in Integrated Primary-Secondary Care at the University of Queensland, Australia. Findings Co-creation emerged independently in several fields, including business studies ("value co-creation"), design science ("experience-based co-design"), computer science ("technology co-design"), and community development ("participatory research"). These diverse models share some common features, which were also evident in the case study. Key success principles included (1) a systems perspective (assuming emergence, local adaptation, and nonlinearity); (2) the framing of research as a creative enterprise with human experience at its core; and (3) an emphasis on process (the framing of the program, the nature of relationships, and governance and facilitation arrangements, especially the style of leadership and how conflict is managed). In both the literature review and the case study, co-creation "failures" could often be tracked back to abandoning (or never adopting) these principles. All co-creation models made strong claims for significant and sustainable societal impacts as a result of the adaptive and developmental research process; these were illustrated in the case study. Conclusions Co-creation models have high potential for societal impact but depend critically on key success principles. To capture the nonlinear chains of causation in the co-creation pathway, impact metrics must reflect the dynamic nature and complex interdependencies of health research systems and address processes as well as outcomes.

Achieving research impact through co-creation in community-based health services: Literature review and case study

In October 2006, the Chief Medical Officer (CMO) of England asked Professor Sir John Tooke to chair a High Level Group on Clinical Effectiveness in response to the chapter 'Waste not, want not' in the CMOs 2005 annual report 'On the State of the Public Health'. The high level group made recommendations to the CMO to address possible ways forward to improve clinical effectiveness in the UK National Health Service (NHS) and promote clinical engagement to deliver this. The report contained a short section on research needs that emerged from the process of writing the report, but in order to more fully identify the relevant research agenda Professor Sir John Tooke asked Professor Martin Eccles to convene an expert group – the Clinical Effectiveness Research Agenda Group (CERAG) – to define the research agenda. The CERAG's terms of reference were 'to further elaborate the research agenda in relation to pursuing clinically effective practice within the (UK) National Health Service'. This editorial presents the summary of the CERAG report and recommendations.

/pdf/an-implementation-research-agenda-3dpimgfxfd.pdf

An implementation research agenda

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An implementation research agenda