The impact of improved data quality on the prevalence estimates of anthropometric measures using DHS datasets in India.

ABSTRACT: The importance of data quality to correctly determine prevalence estimates of child anthropometric failures has been a contentious issue among policymakers and researchers. Our research objective was to ascertain the impact of improved DHS data quality on the prevalence estimates of stunting, wasting, and underweight. The study also looks for the drivers of data quality. Using five data quality indicators based on age, sex, anthropometric measurements, and normality distribution, we arrive at two datasets of differential data quality and their estimates of anthropometric failures. For this purpose, we use the 2005-2006 and 2015-2016 NFHS data covering 311,182 observations from India. The prevalence estimates of stunting and underweight were virtually unchanged after the application of qual

SUBMITTER: Harkare HV 

PROVIDER: S-EPMC8140149 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature