Incidence, prevalence and outcomes of rheumatic heart disease in South Africa: a systematic review protocol.

backgroundRheumatic heart disease (RHD) is the principal cause of acquired heart disease affecting people living largely in poverty and deprived conditions. Sub-Saharan Africa was long thought to be the hotspot of the disease but recent reports suggest that this is no longer the case. South Africa is the leading economic force within this region yet contends with continued extreme income disparities. It is of interest to ascertain whether the strides that have been made in healthcare since the democratic transition in South Africa have translated into decreased RHD burden. We therefore propose to review the current best estimates of incidence of newly diagnosed RHD and prevalence of existing RHD within the past two decades. We also propose to characterise the fatal and non-fatal outcomes of RHD and identify any trends in this period. METHODS AND

designWe plan to search electronic databases and reference lists of relevant articles published from April 1994 to April 2014. Studies will be included if they estimated one of the following epidemiological measures: incidence, prevalence, remission rate, relative risk of mortality or cause-specific mortality. For studies deemed eligible for inclusion, we will assess overall study quality, reliability and risk of bias using design-specific criteria. We will extract data using a standardised form and perform descriptive and quantitative analysis to assess RHD prevalence, mortality and morbidity. This review protocol is registered in the PROSPERO International Prospective Register of systematic reviews, registration number CRD42014007072. DISSEMINATION: Our planned review will provide healthcare providers, public health officials and policymakers with pooled contemporary data regarding RHD, in particular regarding the effect the new political dispensation has had on the burden of this preventable disease within South Africa. In addition, these important country-specific data could influence policy decisions regarding prevention, management and control of RHD.