Recognizing the complexity of implementation processes, i-PARIHS developers propose that the characteristics of these three constructs interact. Characteristics of three of these constructs, the Innovation (the practice or program being implemented), the Recipients (the individuals and teams that influence and are affected by innovation implementation), and the Context (the setting within which implementation occurs), were identified by framework developers based on the theoretical and empirical literature, as well as their own experiences, and are typically considered to be implementation determinants. The framework proposes SI = Fac (I + R + C), i.e., successful implementation (SI) is the result of the facilitation (Fac) of the Innovation (I) with the Recipients (R) in their context (C). Two of the main strengths of the i-PARIHS framework are (1) its emphasis on the interaction between implementation influences and (2) the assertion that facilitation is the active ingredient for successfully implementing an innovation. More recently, i-PARIHS has been increasingly utilized to prospectively plan what facilitators will do to support implementation, to inform what they are doing during the implementation process, and to develop resources to train and support facilitators. Both PARIHS and i-PARIHS have been widely utilized to guide the assessment of factors that influence implementation, inform data collection and analysis, and evaluate study findings. It had a rich history of refinement ultimately leading to the development of the i-PARIHS framework. Its predecessor, the PARIHS framework, was specifically designed for implementing complex multi-disciplinary team-based innovations in healthcare settings and was one of the first frameworks to account for the complex nature of the implementation process. The Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS) framework is one of the more commonly used implementation frameworks. Scholars posit that conceptual approaches, i.e., theories, models, and/or frameworks (TMFs), should inform the implementation and evaluation of evidence-based practices and programs. Qualitative analysts can also use them to explore interactions between i-PARIHS constructs, maximize the potential for comparing findings across studies, and support the refinement of the i-PARIHS framework using empirical findings from multiple studies. The standardized codes and definitions in the codebook can facilitate data exploration, pattern identification, and insight development informed by the i-PARIHS framework. The resulting i-PARIHS-informed codebook includes definitions for the four main constructs of the framework: Innovation, Recipients, Context, and Facilitation subcodes and definitions for characteristics of each of these constructs and instructions for the suggested application of individual codes and use of the codebook generally. Finally, two studies piloted the application of the codebook which informed the final version. In phase 3, they obtained feedback from i-PARIHS developers/experts and incorporated it into the codebook. In phase 2, they obtained feedback from an expert panel and further refined subcodes and definitions. In phase 1, workgroup members reviewed and discussed literature, consulted an organizational scientist, and drafted and refined subcodes and definitions for i-PARIHS constructs. MethodsĪ workgroup of qualitative researchers conducted a rigorous four-phase process to develop a codebook informed by i-PARIHS. This paper describes a rigorous process of developing a detailed qualitative codebook informed by the i-PARIHS framework. The lack of a standardized codebook hinders our ability to synthesize research findings across studies, explore and test the range of activities that are utilized in facilitation efforts, and potentially validate and further refine i-PARIHS. Additionally, sub-constructs for the Innovation, Recipients, and Context constructs lack definitions, and there is no sub-classification of facilitation activities for the Facilitation construct. Codebooks with clear and meaningful code labels and definitions are an important component of qualitative data analysis and have been developed for other widely used frameworks. Although i-PARIHS developers have focused on creating tools to guide facilitators in its application in practice, tools are also needed for evaluation and research. The Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS) framework and its predecessor, PARIHS, have been widely utilized in implementation studies.
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