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The impact of worldwide, national and sub-national severity distributions in Burden of Disease studies: A case study of cancers in Scotland.

Grant M A WyperIan GrantEilidh FletcherGerry McCartneyDiane L Stockton
Published in: PloS one (2019)
Our findings illustrate a bias in point estimates of weighted-average DW created using worldwide severity distributions. This bias would have led to the misrepresentation of non-fatal estimates of the burden of individual cancers, and underestimated the scale of socioeconomic inequality in this non-fatal burden. This highlights the importance of not interpreting non-fatal estimates of burden of disease too precisely, especially for sub-national estimates and those comparing populations when relying on data inputs from other countries. It is essential to ensure that any estimates are based upon country-specific data as far as possible.
Keyphrases
  • quality improvement
  • electronic health record
  • big data
  • magnetic resonance imaging
  • data analysis
  • young adults
  • contrast enhanced