D Anand1, P O Pharoah. 1. Department of Public Health, Muspratt Building, University of Liverpool, Liverpool L69 3GB, UK. anand@liverpool.ac.uk
Abstract
BACKGROUND: Birth weight mortality statistics are important for examining trends and monitoring the outcomes of neonatal care. AIM: To determine the effects of errors in the registered birth weight on birth weight specific mortality. METHODS: All twins born in England and Wales during 1993-95 comprise the denominator population. For those twins that died, the Office for National Statistics (ONS) provided copies of the death certificates. From the information on the death certificates, the registered birth weight was validated and amended using predetermined rules. The neonatal, postneonatal, and infant mortality rates were recalculated. RESULTS: In 2.5% of cases the registered birth weight was "not stated" and in others there were miscoding errors. Important differences between published and amended birth weight specific mortality rates especially in <500 g and >/=3500 g groups were evident. CONCLUSIONS: The bias arising from these errors should be taken into account in interpreting mortality rates and their trends.
BACKGROUND: Birth weight mortality statistics are important for examining trends and monitoring the outcomes of neonatal care. AIM: To determine the effects of errors in the registered birth weight on birth weight specific mortality. METHODS: All twins born in England and Wales during 1993-95 comprise the denominator population. For those twins that died, the Office for National Statistics (ONS) provided copies of the death certificates. From the information on the death certificates, the registered birth weight was validated and amended using predetermined rules. The neonatal, postneonatal, and infant mortality rates were recalculated. RESULTS: In 2.5% of cases the registered birth weight was "not stated" and in others there were miscoding errors. Important differences between published and amended birth weight specific mortality rates especially in <500 g and >/=3500 g groups were evident. CONCLUSIONS: The bias arising from these errors should be taken into account in interpreting mortality rates and their trends.
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