2.5. Data Analysis

The qualitative analysis was carried out following the steps proposed by Braun et al. [26]: (1) familiarity with the data; (2) generation of categories; (3–5) search, review, and definition of themes; and (6) the final report.

Transcription, literal reading, and theoretical manual categorization were performed and the NUDIST Nvivo (version 12, University of Seville, Seville, Spain ) software was used. Data analysis started with a thorough reading of the information collected (field notes and interview transcripts) in order to ascertain an overview of the respondents’ experiences and to gain an understanding of the content. This was done by two researchers. The analysis continued by organizing descriptive labels, focusing on emerging or persistent concepts and similarities/differences in participants’ behaviors and statements. The coded data from each participant were examined and compared with the data from all the other participants to develop categories of meanings. In addition, 2 participants checked the results. They were asked to evaluate material through open-ended responses and their proposals were analyzed and added. Finally, the different categories were gathered (grouped) under two main themes: “Health problems” and “Health practices”. The categorization and coding of the data are shown in Table 2.

Emergent themes, categories and subcategories.

* This is a traditional healthcare provider specialized in the treatment of musculoskeletal system problems. The professionals of the Peruvian health system attribute similar characteristics to that of the traumatologist in Western medicine.