A Framework for Combining Morbidity and Mortality to Identify Determinants of Child Health

ObjectiveThe objective of this study is to combine morbidity in terms of various levels of growth faltering or malnutrition among surviving children with mortality to better understand the determinants of infant and child health. MethodThis study uses data from the latest National Family Health Survey (NFHS)-5 of India conducted during 2019-21 to provide a framework that integrates both mortality and morbidity as a measure of infant and child health to investigate their association with maternal and other socio-economic determinants of health. The outcome variable representing health status of a child is defined as an ordinal variable with four progressively worsening levels- no malnutrition, moderate malnutrition, severe malnutrition, and not alive. The levels of morbidity in terms of growth faltering or malnutrition are defined in line with the World Health Organization (WHO) guidelines. Multivariable ordinal logistic regression has been used to assess the association of risk factors with the outcome variable. ResultsAmong the examined determinants, maternal education and household wealth index demonstrated the strongest associations with child health outcomes. Notably, the risk of adverse health outcomes did not significantly differ between male and female children, indicating gender parity in child health--a positive development for the countrys public health landscape. ConclusionCombining child mortality and morbidity allows better indication of child health status with added sensitivity through progressive health status levels, ranging from best scenario (no malnutrition) to worst scenario (death). Consequently, it enables a more comprehensive assessment of maternal and socioeconomic determinants of child health. In addition, using such combined outcome ensures complete utilization of information available in a survey dataset, irrespective of the mortality status of the child.