2022
DOI: 10.1186/s43058-022-00344-9
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Development of a qualitative data analysis codebook informed by the i-PARIHS framework

Abstract: Background The 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 develope… Show more

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Cited by 18 publications
(12 citation statements)
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“…We coded all data by means of the initial main categories. Afterwards, we developed subcategories following the the i-PARIHS subconstructs and their de nitions [25]. We revised the main categories in order to ensure that they are content-speci c, unambiguous and expressive.…”
Section: Discussionmentioning
confidence: 99%
“…We coded all data by means of the initial main categories. Afterwards, we developed subcategories following the the i-PARIHS subconstructs and their de nitions [25]. We revised the main categories in order to ensure that they are content-speci c, unambiguous and expressive.…”
Section: Discussionmentioning
confidence: 99%
“…JLS has extensive experience providing implementation facilitation to healthcare systems and in training and mentoring IF researchers and practitioners. Both MJR and JLS have led and contributed to development of multiple tools and resources that support IF research and practice ( 19 , 26 , 27 ). In the fourth phase (see below), additional VA Behavioral Health QUERI investigators, including JEK, BK, and ENW, provided consultation on preparing the collection for dissemination.…”
Section: Methodsmentioning
confidence: 99%
“…Interview data were coded using a directed content analysis approach [ 16 ], utilizing an i-PARIHS-informed codebook [ 17 ]. We selected and refined codes from the codebook to group and eliminate sub-constructs that were difficult to distinguish from one another in this context and less directly relevant, respectively, regarding our specific CCM implementation effort.…”
Section: Methodsmentioning
confidence: 99%