Developing a predictive model to identify sub-optimal antiretroviral therapy adherence in Namibia.

Kaonga, Nadi.

Abstract: Addressing known and unknown risk factors for non-adherence to antiretroviral therapy (ART) has proved challenging, despite increased access. Work continues to be done to determine how best to optimize adherence, and it remains a priority for HIV/AIDS researchers and implementers. One proposal is to identify sub-groups most at-risk, prior to treatment initiation, and provide resources th... read more

Sackler School of Graduate Biomedical Sciences. Department of Clinical and Translational Science.
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ID: tufts:20387
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