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Are cause of death data fit for purpose? evidence from 20 countries at different levels of socio-economic development.

Kim Moesgaard IburgLene MikkelsenTim AdairAlan D Lopez
Published in: PloS one (2020)
There is an inverse relationship between a country's socio-demographic development and the overall quality of its cause of death data, but with important exceptions. In particular, some low SDI countries have vital statistics systems that are as reliable as more developed countries. However, in low-income countries, where most people die at home, the proportion of unusable codes often exceeds 50%, implying that half of all cause-specific mortality data collected is of little or no use in guiding public policy. Moreover, the cause of death pattern identified from the data is likely to seriously under-represent the true extent of the leading causes of death in the population, with very significant consequences for health priority setting. Garbage codes are prevalent at all ages, contrary to expectations. Further research into effective strategies deployed in these countries to improve data quality can inform efforts elsewhere to improve COD reporting systems.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • mental health
  • public health
  • emergency department
  • type diabetes
  • risk factors
  • adverse drug
  • coronary artery disease