Browsing by Author "Roomaney, Rifqah A."

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    Inequity in the distribution of non-communicable disease multimorbidity in adults in South Africa: An analysis of prevalence and patterns
    (Frontiers Media, 2022) Roomaney, Rifqah A.; van Wyk, Brian Eduard; Cois, Annibale
    The present study examined the prevalence and patterns of noncommunicable disease multimorbidity by wealth quintile among adults in South Africa. The South African National Income Dynamics Study Wave 5 was conducted in 2017 to examine the livelihoods of individuals and households. We analysed data in people aged 15 years and older (N = 27,042), including self-reported diagnosis of diabetes, stroke, heart disease and anthropometric measurements. Logistic regression and latent class analysis were used to analyse factors associated with multimorbidity and common disease patterns.
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    Prevalence of multimorbidity in South Africa: A systematic review protocol
    (BMJ Publishing Group, 2020) Roomaney, Rifqah A.; van Wyk, Brian Eduard; Turawa, Eunice Bolanle
    Introduction Multimorbidity has increased globally over the past two decades, due to ageing populations and increased burden of non-communicable diseases (NCDs). In a country like South Africa, with a growing burden of NCDs and a high prevalence of HIV, information on multimorbidity can improve planning for healthcare delivery and utilisation, and reduce costs in the context of constrained health resources. This review aims to synthesise prevalence studies on multimorbidity, and identify dominant clusters and trends of multimorbidity in South Africa. Methods and analysis We will search electronic bibliographic databases (PubMed, Scopus, JSTOR, POPLINE, PsycINFO, ScienceDirect, Web of Science and CINAHL), and the reference lists of included articles. Two researchers will independently screen title and abstracts, and then full text to identify studies published before and in 2020 that report on prevalence of multimorbidity in South Africa. Risk of bias assessments will be done for each study. Information on the prevalence of multimorbidity and disease clusters will be extracted from each study.