Abstract

Management of patients on ART and TB care is a complex issue in sub-Saharan Africa influenced by sociocultural and clinical factors of patients. This requires more local data to find the best ways to make the ART program effective and achieve global targets by 2030. This chapter applied competing risk survival regression to analyze factors associated with defaulting of ART and TB patients on treatment in Erongo Region of Namibia, in the presence of a competing event of transferring out. The models were fitted using STATA software version 14. The results showed that the risk of defaulting and transferring out was low in Swakopmund and Walvis Bay districts, in patients with CD4 cell counts of at least 250 cells/\(\mu \)L and those who were working. It was high in bedridden patients and those at WHO clinical stage III. Sex, weight, and age of patient had no effect on defaulting or transferring out. The study recommends considering competing events through joint regression methods when analyzing default rates of patients on ART care. Running of ART program by health authorities in Namibia will require accounting for both social-cultural and clinical factors of subjects.

Original language	en
Pages (from-to)	225-244
Publication status	Published - 2025