Thesis (M.Med.Sc.)-University of KwaZulu-Natal, Durban, 2013.HIV drug resistance (HIVDR) has emerged as a major clinical and public health challenge in many resource poor countries especially in Africa. HIVDR testing has become increasingly important and is of significant value in the management of HIV. The use of low cost technologies and procedures in testing HIVDR is being recommended. HIVDR computer interpretation algorithms make use of artificial intelligence and other computer technologies to predict HIVDR, and are recommended for use in resource poor countries. However, there is little known about the knowledge, attitude and perception of HIVDR computer algorithms by doctors in developing countries who are supposed to use computer algorithms.
This study aimed to determine the knowledge, attitude and perception regarding computer interpretation algorithms of the 4th and 5th year medical students at Nelson R. Mandela School of Medicine, University of KwaZulu Natal in South Africa. Primary data collection was done using a questionnaire administered to a convenience sample of 216 4th and 5th year medical students. The study revealed that 90% of the respondents were aware of HIV drug resistance testing in South Africa but only 4% had knowledge of the computer interpretation algorithms. The study revealed that although the UKZN medical students are not aware of computer interpretation algorithms, majority are willing to use them in the future
