Atenção primária em saúde: guia para o uso do IRAMUTEQ em pesquisa qualitativa

Abstract

IRAMUTEQ is a software for analyzing qualitative content of texts and data tables, inscribed under the python language. This operating system proposes a set of statistics and utilities to assist in the description and analysis of texts and data matrices of the individual/character type, that is, with data record type of contingency tables. The principle of functionality of IRAMUTEQ, is based on establishing an interface with the R software and prepares a multidimensional analysis of the texts and questionnaires, its operability being based on preparing data and writing the scripts that are read and analyzed by the R software. Qualitative research in the health area has been strengthening and seeks consolidation in recent years, in which professionals and researchers who make this approach option seek to understand the perspective of the research participants. Therefore, this study demonstrated, through an integrative review, the use of the IRAMUTEQ program in qualitative analysis works in primary health care, in addition a guide to the use of IRAMUTEQ for qualitative research in primary care was developed. The integrative review brought together 10 (ten) Brazilian studies, selected based on the criterion of using lexical content analysis and the IRAMUTEQ software, with the exception of 1 article that used the ALCESTE software. It was observed that in the last years the use of software, especially of IRAMUTEQ, is growing and it is important to obey criteria for preparing the content for analysis, and to be aware of the methods that IRAMUTEQ used for analysis, so that the results are true. The IRAMUTEQ Usage Guide explains in detail how to do content analysis using Reinert's method. The use of IRAMUTEQ in research in primary health care, can promote the objective and faster analysis of texts, in addition to analyzing research with patients and improving the daily lives of both health professionals and their patients.