Development of a qualitative data analysis codebook informed by the i-PARIHS framework

Abstract

BackgroundThe Integrated-Promoting Action on Research Implementation in Health Services (i-PARIHS) framework and its predecessor, PARIHS, have been widely utilized in implementation studies. 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. 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. There is no such codebook for 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. 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. This paper describes a rigorous process of developing a detailed qualitative codebook informed by the i-PARIHS framework.MethodsA workgroup of qualitative researchers conducted a rigorous four-phase process to develop a codebook informed by i-PARIHS. In phase 1, workgroup members reviewed and discussed literature, consulted an organizational scientist, and drafted and refined subcodes and definitions for i-PARIHS constructs. In phase 2, they obtained feedback from an expert panel and further refined subcodes and definitions. In phase 3, they obtained feedback from i-PARIHS developers/experts and incorporated it into the codebook. Finally, two studies piloted the application of the codebook which informed the final version.ResultsThe 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.ConclusionsThe standardized codes and definitions in the codebook can facilitate data exploration, pattern identification, and insight development informed by the i-PARIHS framework. 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.