title: Provincial screening rates for chronic diseases of lifestyle, cancers and HIV in a health-insured population.
abstract: BACKGROUND
  Screening for asymptomatic diseases can reduce the burden of morbidity and mortality in all population groups. There is widespread geographical variation in the quality of care. Few data are available on national screening rates in South Africa and how these vary across the provinces.
  
  
  OBJECTIVE
  To examine screening rates for chronic diseases of lifestyle (CDL), HIV and cancer in a privately insured population for a single insurer across all nine provinces in South Africa, and to determine whether or not there are any differences between the provinces.
  
  
  METHODS
  Screening rates were calculated as the proportion of eligible members who had received screening tests during 2011 in each province. Mean screening rates were compared between Gauteng and the other eight provinces.
  
  
  RESULTS
  Nationwide screening rates were 20.5% for CDL, 8.2% for HIV and 31.9% for cancer. Despite similar insurance coverage, screening rates ranged from 0.3% to 0.95% lower in other provinces compared with Gauteng. Of all the provinces, Gauteng had the highestannual screening rates for CDL, breast cancer, prostate cancer and HIV (p < 0.001), while the Western Cape had the highest rate for cervical cancer (p < 0.001).
  
  
  CONCLUSIONS
  There is much variation in preventive care utilisation across the provinces within this health-insured population. Provinces with more abundant healthcare resources have higher screening rates. Further research is required to understand the reasons for the variation, given equal payment access.
authors: School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa leegale@me.com
authors: L
authors: L
authors: Adonis
authors: R
authors: R
authors: An
authors: J
authors: J
authors: Luiz
authors: A
authors: A
authors: Mehrotra
authors: D
authors: D
authors: Patel
authors: D
authors: D
authors: Basu
authors: R
authors: R
authors: Sturm
mesh_terms: D058070:Asymptomatic Diseases; D003920:Diabetes Mellitus / Q000175:diagnosis* / Q000453:epidemiology; D003955:Diagnostic Tests, Routine / Q000191:economics; D005260:Female; D005901:Glaucoma / Q000175:diagnosis* / Q000453:epidemiology; D015658:HIV Infections / Q000175:diagnosis* / Q000453:epidemiology; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data*; D008019:Life Style; D008297:Male; D008403:Mass Screening / Q000191:economics; D009369:Neoplasms / Q000175:diagnosis* / Q000453:epidemiology; D010024:Osteoporosis / Q000175:diagnosis* / Q000453:epidemiology; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D013019:South Africa / Q000453:epidemiology
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