Exploring enablers and barriers to breast self-examination among women in the North Shewa Zone, Oromia, Ethiopia: a qualitative study
Scientific Reports(2023)
Abstract
Breast cancer (BC) is the leading cause of cancer death worldwide and the second most common cancer overall. Breast self-examination (BSE) is one of the cheapest methods used for the early detection of BC in asymptomatic women. More than 90% of cases of BC can be detected by women themselves. This reality stresses the importance of BSE as the key BC detection mechanism. However, in Ethiopia, most of the BE studies were not conducted among women in the general population. Therefore, this study aimed to explore enablers and barriers to breast self-examination among women in the North Shewa Zone, Oromia. A descriptive qualitative study design was conducted from August 1, 2022, to September 30, 2022. Five focus group discussions (FGDs) were conducted with 46 women from one selected district in the North Shewa Zone, Oromia. A Purposive sampling technique was used to select participants for FGD. The audio-recorded data were transcribed verbatim to “Afan Oromo”. Transcribed data were translated into English. The data were manually coded into themes and analyzed manually by using inductive thematic analysis. The findings of the study were discussed under five themes of enablers and three themes of barriers. The five themes of enablers were knowledge about BC, knowledge about BSE, experience of BSE practice, perceived susceptibility, and perceived benefit of BSE practice. The four themes of barriers were low knowledge of BSE practice, misconceptions about BSE practice, and fear of detecting BC. These findings suggest that targeted health education programs, collaboration between healthcare providers and local stakeholders, and the availability of support services can play a crucial role in overcoming barriers and encouraging BSE practice for early detection of breast abnormalities.
MoreTranslated text
Key words
Health care,Medical research,Science,Humanities and Social Sciences,multidisciplinary
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined