Faculty of Public Health - Andalas University - OCS, 13th IEA SEA Meeting and ICPH - SDev

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Improving Birth Weight Reporting in India Evidence from NFHS-3 to NFHS-4
Dharmendra Kumar Dubey

Last modified: 2018-08-07


Low birth weight is a strong predictor of an individual baby's survival and it is an indicator of infant risk. Information on birth weight available in large scale demographic surveys in India are poorly reported in NFHS-3 and slightly improved in NFHS-4. The current study aims to assess the data quality and compare two methods of data collection on LBW in India and also compare from 3rd round survey to 4th round survey. The National Family Health Survey (NFHS-3) data conducted during 2005-06 and (NFHS-4) data conducted during 2015-16 will be utilized for this study. Logistic regression model will be used under this study. Kappa statistic will be used to test for agreement between categories of birth weights and birth sizes. Only one-third births in India were reported either from health card or from mother memory recall and remaining two-third births were missing. Method of reporting affects the actual scenario of the LBW due to heaping of the birth weight in NFHS-3 but now its slightly improved in NFHS-4.