Literature DB >> 23295022

The disability adjusted life years due to stroke in South Africa in 2008.

Melanie Y Bertram1, Judith Katzenellenbogen, Theo Vos, Debbie Bradshaw, Karen J Hofman.   

Abstract

BACKGROUND: South Africa is experiencing epidemiological transition, with the burden of chronic diseases increasing. Stroke is currently the second leading cause of death in South Africa; however, limited data are available on incidence, prevalence and resulting disability. Quantifying the epidemiological parameters and disease burden is important in the planning of health services. AIMS: To synthesize the data surrounding stroke in South Africa and calculate disability adjusted life years attributable to stroke in South Africa in 2008.
METHODS: We undertook a systematic review to identify studies on the prevalence and mortality of stroke in South Africa. We used the DisMod program to calculate missing epidemiological parameters, in particular incidence and duration. Using these values, we calculated the burden of disease in years of life lost (YLL), years lived with disability (YLD) and disability adjusted life years (DALY).
RESULTS: Data on prevalence and mortality of stroke in South Africa are scarce. We estimate there are 75,000 strokes in South Africa each year, with 25,000 of these fatal within the first month. The burden of disease due to stroke in South Africa was 564,000 DALYs. Of this, 17% is contributed by YLD (14-20% in sensitivity analysis).
CONCLUSIONS: This study provides information on prevalence, incidence and disease burden of stroke at the national level in South Africa. The results of this analysis will enable further work on priority setting and health service planning for primary and secondary prevention of stroke in South Africa.
© 2013 The Authors. International Journal of Stroke © 2013 World Stroke Organization.

Entities:  

Keywords:  African; DALY; developing countries; economics; epidemiology; stroke

Mesh:

Year:  2013        PMID: 23295022     DOI: 10.1111/j.1747-4949.2012.00955.x

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


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