Type | Book |
Title | Electronic medical records and clinical Decision Support Systems in HIV care in resource-limited settings |
Author(s) | |
Publication (Day/Month/Year) | 2015 |
Abstract | The World Health Organization (WHO) describes the Human Immunodeficiency Virus (HIV) as a retrovirus that infects cells of the host’s immune system and destroys or impairs their function. Acquired Immune Deficiency Syndrome (AIDS) is the disease caused by infection with the HIV. AIDS results in severe damage of the body’s immune system causing vulnerability to life-threatening infections and tumors (1). Heterosexual sex between an HIV infected person and uninfected partner is the main mode of HIV transmission in many sub-Saharan African (SSA) countries (2;3). The WHO and The Joint United Nations Programme on HIV/AIDS (UNAIDS) joint report on global HIV epidemic showed that nearly twothirds of the 34 million people infected with the virus resided in SSA in 2010 (4). Kenya is among the countries with high HIV prevalence in SSA. The Kenya AIDS Indicator Survey (KAIS) conducted in 2007 showed that HIV prevalence among adults aged 15-64 years was 7.1% (5). A similar population-based survey conducted five years later showed a decline in HIV prevalence to 5.6% (6). The two surveys showed that Nyanza province in western Kenya had the highest HIV prevalence in Kenya with 14.9% and 15.2% of adults aged 15-64 years having HIV-infection in 2007 and 2012, respectively (5;6). In order to plan for effective interventions to respond to the HIV epidemic, it is necessary to understand the socio-demographic, behavioral and biological factors associated with the disease. Various sources of data including routine statistical summaries, surveys, surveillance, operational research and mathematical modeling are used to monitor the distribution and trends in the epidemic in response to prevention and treatment programs. UNAIDS and WHO have developed guidelines for measuring HIV prevalence in population-based surveys (7). The KAIS protocols were developed based on the UNAIDS/WHO guidelines to provide HIV prevalence data as well as factors associated with HIV infection in Kenya (5;6). KAIS is a household survey that entails interviewing eligible and consenting respondents from sampled clusters of households. Blood samples are collected from consenting participants for central testing in the laboratory to determine HIV prevalence. Individual participants who wish to know their HIV status can collect their results at the nearest clinic six weeks after blood sample collection, or participate in a voluntary home-based HIV counseling and testing. Those confirmed to be HIV-infected are referred for HIV care and treatment services. KAIS also provides critical data on access to HIV prevention, care and treatment services, respondents’ perception of risk for HIV infection, risk factors for HIV infection and co-morbidities – including sexually transmitted infections. |
» | Kenya - AIDS Indicator Survey 2007 |