This study investigates the patterns of recording birth weight data in retrospective surveys and their influence on birth
weight estimates in less developed countries. We hypothesise that the method of reporting birth weight in surveys influences
the classification of infants in the low birth weight category. Population-level data from Demographic and Health Surveys
conducted in six selected countries representing different regions of the world were used. Birth weight data were reported
in the survey from either an official health card or from mother’s memory. Birth weight distributions were examined in detail
and revised low birth weight estimates were calculated accounting for potential heaping and data inconsistencies. There were
substantial differences in the distribution of birth weights by method of reporting. The percentage of infants with low birth
weight was higher in all six countries for birth weight recalled from memory than when reported from a health card. Health
cards displayed less clustering on certain digits than memory recalled weights, but were still highly heaped in certain countries.
Heaping of birth weight data on multiples of 500 g was also observed irrespective of any differences in method of reporting.
The study concludes that the method of recording birth weight data can affect birth weight estimates in developing countries.
Health systems in poor countries should initiate efforts to systematically monitor the recording of birth weight data ensuring
for both quality and comparability at the international levels.
Keywords Birth weight – Demographic and health surveys – Measurement errors – Memory recall – Health cards – Heaping