Accuracy of child morbidity data in demographic and health surveys

Int J Epidemiol. 2008 Feb;37(1):194-200. doi: 10.1093/ije/dym202. Epub 2007 Oct 2.


Background: The Demographic and Health Surveys (DHSs) have been used throughout the developing world for the last 20 years to provide data on the distribution of disease in order to inform planning. Data on child illness and death are reported by mothers and are susceptible to error.

Methods: We conducted an in-depth study of the Iranian DHS carried out in 2000-2001 and reviewed 110 DHS carried out around the world to check for bias by assessing the social gradient in reported child morbidity and mortality.

Results: We found that the reported under-5 child morbidity and mortality rates for the 28 Iranian provinces were inversely correlated (r = -0.592, P < 0.001) and that the adjusted social gradient of child morbidity implied increased illness in those who had literate vs illiterate mothers (OR = 1.26, 95% CI 1.20-1.32) compared with a decrease in mortality with increased literacy (OR = 0.52, 95% CI 0.46-0.59). Many of the other DHSs also show increased rates of reported child diarrhoea in households with higher levels of maternal education, access to piped water and urban (vs rural) dwellings, the reverse of what is found with mortality rates.

Conclusions: This suggests that there may be significant recall and reporting bias in under-5 childhood morbidity in DHSs. Caution should be used in the interpretation and use of data from DHSs and the survey methods should be reviewed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bias*
  • Child
  • Child Mortality / trends*
  • Child, Preschool
  • Demography*
  • Developing Countries
  • Educational Status
  • Female
  • Health Status Indicators
  • Health Surveys*
  • Humans
  • Iran / epidemiology
  • Male
  • Morbidity / trends*
  • Multivariate Analysis
  • Probability
  • Regression Analysis
  • Risk Factors
  • Sensitivity and Specificity
  • Socioeconomic Factors