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Open AccessJournal ArticleDOI

Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

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TLDR
The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories.
Abstract
Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts. We used a snowball sampling approach to identify published theories that were evaluated to identify constructs based on strength of conceptual or empirical support for influence on implementation, consistency in definitions, alignment with our own findings, and potential for measurement. We combined constructs across published theories that had different labels but were redundant or overlapping in definition, and we parsed apart constructs that conflated underlying concepts. The CFIR is composed of five major domains: intervention characteristics, outer setting, inner setting, characteristics of the individuals involved, and the process of implementation. Eight constructs were identified related to the intervention (e.g., evidence strength and quality), four constructs were identified related to outer setting (e.g., patient needs and resources), 12 constructs were identified related to inner setting (e.g., culture, leadership engagement), five constructs were identified related to individual characteristics, and eight constructs were identified related to process (e.g., plan, evaluate, and reflect). We present explicit definitions for each construct. The CFIR provides a pragmatic structure for approaching complex, interacting, multi-level, and transient states of constructs in the real world by embracing, consolidating, and unifying key constructs from published implementation theories. It can be used to guide formative evaluations and build the implementation knowledge base across multiple studies and settings.

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Making sense of implementation theories, models and frameworks

TL;DR: A taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science is proposed to facilitate appropriate selection and application of relevant approaches in implementation research and practice and to foster cross-disciplinary dialogue among implementation researchers.
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TL;DR: The 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 to generate consensus on implementation strategies and definitions.
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Advancing a conceptual model of evidence-based practice implementation in public service sectors.

TL;DR: A multi-level, four phase model of the implementation process, derived from extant literature, is proposed and applied to public sector services and highlights features of the model likely to be particularly important in each phase, while considering the outer and inner contexts of public sector service systems.
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References
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TL;DR: It is demonstrated how different theories can be used to generate testable hypotheses regarding factors that influence the implementation of change, and it shows how different theoretical assumptions lead to different quality-improvement strategies.
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TL;DR: Results indicate the ORC can contribute to the study of organizational change and technology transfer by identifying functional barriers involved and has acceptable psychometric properties.
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TL;DR: In this article, the assimilation of technological innovations into organizations, a process unfolding in a series of decisions to evaluate, adopt, and implement new technologies, was conceptualized as a nine-step process and measured by tracking 300 potential adoptions through organizations during a six-year period.
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