A Model for Predicting Non-adherence Among Preexposure Prophylaxis (Prep) Clients At Suba Region.

Abstract

The immune system protects the body against diseases or any foreign body that is harmful to the body, it is the body’s natural defense against illnesses. The threats that the immune system attacks include viruses, bacteria and parasites. Human Immunodeficiency Virus (HIV) is a virus that is responsible for the Acquired Immunodeficiency Syndrome (AIDS). AIDS is a set of symptoms that occur after HIV infection, it is when the body’s immune system is too weak to fight off infection(Rachel Nall 2016). There has been numerous attempts by the government and indeed the foreign donors to try and contain the epidemic. The use of test and treat has had a great impact by ensuring that those who are tested HIV positive are put on care immediately and with good adherence then we expect to have low transmission rates. The latest approach by the world health organization is the recommendation to use test and treat combined with putting the most at risk for HIV infection on the daily pill of Pre-Exposure Prophylaxis(PrEP) which reduces the risk of getting infected by HIV by more than 90%(CDC 2018a). PrEP is very effective if taken consistently failure to which may lead to HIV infection. It has been observed that there still exist a number of clients who are becoming HIV positive even after being put on PrEP. The objective of the study was to develop a model to predict non-adherence to PrEP among PrEP enrolled clients in Suba region of Homabay County. The study utilized data that had been collected from the most at risk population who are enrolled in PrEP for the period between the years 2016 to 2018. Data mining on the data played an important role in coming up with the model.