The aim of this study was to investigate outcomes of approaches used to mitigate the
negative impacts of HIV and AIDS at workplaces in Lesotho using Thetsane Industrial Area
as a case study. Garment industries in Lesotho are faced with a serious threat due to the HIV
and AIDS prevalence in the country. A huge number of the labour force is leaving firms due
to increased morbidity and mortality associated with HIV and AIDS. In view of this, this
study investigated approaches used in managing HIV and AIDS in the workplace. In order to
optimize the accuracy of the research results, a triangulation research method was utilized.
The results indicate production levels to have improved since the advent of the Apparel
Lesotho Alliance to Fight AIDS (ALAFA). The findings suggest ALAFA to have taken over
the responsibility of HIV and AIDS prevention and management, especially in the garment
industries, providing HIV and AIDS victims with all the necessary services needed to keep
HIV and AIDS under control. These findings therefore suggest overdependence on ALAFA
by the garment industries for HIV and AIDS management. The findings also imply that
garment industries had no resources in the form of human capital specializing in the
knowledge of HIV and AIDS management from the individual garment industries. Despite
the fact that HIV and AIDS still spreads at an alarming rate, the larger implications of this
research’s findings, especially relating to the serious challenge faced by the garment
industries of losing their labour force to HIV and AIDS, is that the pandemic has lately
become manageable given that there are now ARVs and ART to be used as treatment by HIV
and AIDS victims. / Thesis (M.A.)-University of KwaZulu-Natal, Durban, 2011.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ukzn/oai:http://researchspace.ukzn.ac.za:10413/5000 |
| Date | January 2011 |
| Creators | T'Seole, Nkeka Peter. |
| Contributors | May, Julian Douglas. |
| Source Sets | South African National ETD Portal |
| Language | en_ZA |
| Detected Language | English |
| Type | Thesis |
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