“Condoms Are Boring”: Navigating Relationship Dynamics, Gendered Power, and Motivations for Condomless Sex Amongst Adolescents and Young People in South Africa

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

<p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dir="auto" id="d12969647e258">Condoms remain an important method for preventing HIV prevention and unintentional pregnancies, however their use in South Africa is sub-optimal. We analyzed survey data on reported condom use among 3009 sexually active adolescent girls and young women (AGYW) aged 15–24 years, and qualitative data from interviews and focus group discussions with 237 AGYW and 38 male peers. Our findings describe the current condom use landscape among adolescents and young people in South Africa, illustrating relationship dynamics, gendered power and notions of masculinity which influence condom negotiation and use in young heterosexual South Africans’ sexual encounters. </p>

Related collections

Most cited references 57

Record: found
Abstract: not found
Article: not found

Thematic Analysis

Nancy Moules, Deborah White, Jill M Norris … (2017)

0 comments Cited 1599 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Qualitative data analysis for health services research: developing taxonomy, themes, and theory.

Elizabeth H Bradley, Leslie A Curry, Kelly Devers (2007)

To provide practical strategies for conducting and evaluating analyses of qualitative data applicable for health services researchers. DATA SOURCES AND DESIGN: We draw on extant qualitative methodological literature to describe practical approaches to qualitative data analysis. Approaches to data analysis vary by discipline and analytic tradition; however, we focus on qualitative data analysis that has as a goal the generation of taxonomy, themes, and theory germane to health services research. We describe an approach to qualitative data analysis that applies the principles of inductive reasoning while also employing predetermined code types to guide data analysis and interpretation. These code types (conceptual, relationship, perspective, participant characteristics, and setting codes) define a structure that is appropriate for generation of taxonomy, themes, and theory. Conceptual codes and subcodes facilitate the development of taxonomies. Relationship and perspective codes facilitate the development of themes and theory. Intersectional analyses with data coded for participant characteristics and setting codes can facilitate comparative analyses. Qualitative inquiry can improve the description and explanation of complex, real-world phenomena pertinent to health services research. Greater understanding of the processes of qualitative data analysis can be helpful for health services researchers as they use these methods themselves or collaborate with qualitative researchers from a wide range of disciplines.