title: The disability adjusted life years due to stroke in South Africa in 2008.
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.
  
  
  OBJECTIVE
  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.
authors.affiliation: MRC/Wits Rural Public Health, Health Transitions Research Unit (Agincourt), Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa; Health and Population Division of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
authors.forename: Melanie Y
authors.initials: MY
authors.lastname: Bertram
authors.forename: Judith
authors.initials: J
authors.lastname: Katzenellenbogen
authors.forename: Theo
authors.initials: T
authors.lastname: Vos
authors.forename: Debbie
authors.initials: D
authors.lastname: Bradshaw
authors.forename: Karen J
authors.initials: KJ
authors.lastname: Hofman
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D017281:Cost of Illness; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D019057:Quality-Adjusted Life Years; D012189:Retrospective Studies; D012307:Risk Factors; D017678:Sex Distribution; D013019:South Africa / Q000453:epidemiology; D020521:Stroke / Q000401:mortality*; D055815:Young Adult
keywords: African; DALY; developing countries; economics; epidemiology; stroke