Data Analysis
Interpretive description holds that theories about a clinical phenomenon are not preconceived notions, but rather “must emerge from or be grounded in that phenomenon” . The initial step was to understand the different pieces of data, then to identify the emerging patterns of data, and finally to make sense of the relationships between these patterns to identify the major themes. This involved listening to electronic versions of the interviews and reading interviews that were transcribed verbatim. Through the process of moving in and out of the data, themes and patterns emerged followed by development of a coding scheme, which was then applied to the interview data . Ten code categories with several subsequent secondary categories were developed, from which the main themes that constituted the findings were identified.
Data AnalysisInterpretive description holds that theories about a clinical phenomenon are not preconceived notions, but rather “must emerge from or be grounded in that phenomenon” . The initial step was to understand the different pieces of data, then to identify the emerging patterns of data, and finally to make sense of the relationships between these patterns to identify the major themes. This involved listening to electronic versions of the interviews and reading interviews that were transcribed verbatim. Through the process of moving in and out of the data, themes and patterns emerged followed by development of a coding scheme, which was then applied to the interview data . Ten code categories with several subsequent secondary categories were developed, from which the main themes that constituted the findings were identified.
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