Rebecca A Shipstone1, Jeanine Young1, John M D Thompson1,2. 1. School of Nursing, Midwifery, and Paramedicine, University of the Sunshine Coast, Queensland. 2. Departments of Paediatrics, Child and Youth Health, and Obstetrics and Gynaecology, Faculty of Medical and Health Science, University of Auckland, New Zealand.
Abstract
OBJECTIVE: To investigate the under-identification of Indigenous∗ infants in death records and examine the impact of a multi-stage algorithm on disparities in sudden unexpected deaths in infancy (SUDI). METHODS: Data on SUDI in Queensland between 2010 and 2014 were linked to birth and death registrations, health data, and child protection and coronial records. An algorithm was applied to cases of SUDI and population data to derive Indigenous status. Numbers, proportions and rates of SUDI were compared. RESULTS: Using multiple sources of Indigenous status resulted in a 64.9% increase in the number of infants identified as Indigenous. The Indigenous SUDI rate increased by 54.3%, from 1.38 to 2.13 per 1,000 live births after applying the algorithm to SUDI and live births data. CONCLUSIONS: Applying an algorithm to both numerator and denominator data reduced numerator-denominator incompatibility, to more accurately report rates of Indigenous SUDI and measure the gap in Indigenous infant mortality. Implications for public health: Estimation of the true magnitude of the disparity is restricted by under-identification of Indigenous status in death records. Data linkage improved the reporting of Indigenous infant mortality. Accuracy in reporting of measures is integral to determining genuine progress towards Closing the Gap.
OBJECTIVE: To investigate the under-identification of Indigenous∗ infants in death records and examine the impact of a multi-stage algorithm on disparities in sudden unexpected deaths in infancy (SUDI). METHODS: Data on SUDI in Queensland between 2010 and 2014 were linked to birth and death registrations, health data, and child protection and coronial records. An algorithm was applied to cases of SUDI and population data to derive Indigenous status. Numbers, proportions and rates of SUDI were compared. RESULTS: Using multiple sources of Indigenous status resulted in a 64.9% increase in the number of infants identified as Indigenous. The Indigenous SUDI rate increased by 54.3%, from 1.38 to 2.13 per 1,000 live births after applying the algorithm to SUDI and live births data. CONCLUSIONS: Applying an algorithm to both numerator and denominator data reduced numerator-denominator incompatibility, to more accurately report rates of Indigenous SUDI and measure the gap in Indigenous infantmortality. Implications for public health: Estimation of the true magnitude of the disparity is restricted by under-identification of Indigenous status in death records. Data linkage improved the reporting of Indigenous infantmortality. Accuracy in reporting of measures is integral to determining genuine progress towards Closing the Gap.