Ubuntu Is a Critical Component in the Fight against Human Immunodeficiency Virus and Tuberculosis Stigma: Nursing Students’ Perceptions

Author:

Rasweswe Melitah Molatelo1ORCID,Kgatla Nancy Mamoeng1,Ramavhoya Irene Thifhelimbilu1,Mulaudzi Fhumulani Mavis2

Affiliation:

1. Department of Nursing Science, University of Limpopo, Private Bag x1106, Sovenga 0727, South Africa

2. Department of Nursing Science, University of Pretoria, Private Bag x323, Arcadia 0007, South Africa

Abstract

Stigma is one of the documented barriers to achieving universal access to human immunodeficiency virus (HIV) and tuberculosis (TB) prevention, treatment, care, and support programs. The lack of African social theories to emphasize these issues may be the cause of the continent’s failure to reduce stigma. We can use Ubuntu, an African philosophy that emphasizes sociability and ethics, to deepen our understanding of how to reduce HIV- and TB-related stigma in South Africa. In many African regions, Ubuntu values and principles were found to assist in reducing problems related to HIV. Ubuntu is a comprehensive phrase used by Africans to signify the characteristics that incorporate the core human virtues of compassion and humanity. We explored the perceptions of nursing students regarding the use of Ubuntu in the fight against HIV and TB stigma. Qualitative participatory research was used to engage all first- and second-level nursing students enrolled for the 2023 academic year at the selected university in South Africa. Purposive sampling was used to recruit the participants. An interactive workshop was used to gather data. The data from the recordings and flip charts were analysed together. Throughout the study, trustworthiness and ethical principles were upheld. Two primary themes emerged as expressions of Ubuntu in relation to a reduction in HIV and TB stigma and recognition of Ubuntu as a tool to combat stigma associated with HIV and TB. This confirms that within Ubuntu, there are elements that might be applied to reduce stigma attached to HIV and TB.

Funder

HWSETA

Publisher

MDPI AG

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research and Implementation of Deep Learning Algorithm Based Fighting Behavior Recognition Technology for Students on Campus;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

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