Inter-hospital variations in outcomes of very preterm infants admitted to neonatal intensive care units [ 2002 - 2003 ]

Research Grant

Researchers: Prof David Henderson-Smart (Principal investigator) ,  A/Pr Nicholas Evans ,  Ms Deborah Donoghue ,  Prof Judy Simpson

Brief description Most babies who are born very preterm (less than 32 weeks' gestation; ie more than 2 months early) are admitted to a neonatal intensive care unit (NICU). These babies stay in hospital for 2 to 4 months and need lots of care (using vast amounts of the available health resources). When compared to babies born at term, these very preterm babies are much more likely to die or to suffer from a range of poor outcomes that impact on their long-term development and quality of life. The Australian and New Zealand Neonatal Network (ANZNN) is a collaboration of clinical staff in all 29 NICUs in the region, whose aim is to improve the care of high-risk newborn infants and their families in Australia and New Zealand through collaborative audit and research. This audit has reported considerable differences in the rates of death and poor outcomes between NICUs. Other networks have reported similar variations. Variations in outcomes could be due to 1) differences in the way the diagnosis is made in each unit, 2) differences in how small or ill the babies are when admitted, or 3) different quality of care in each NICU. We need to take account of the first two possibilities before we can compare NICUs fairly and allow them to work towards achieving the best outcomes for very premature babies. To do this, our project will use advanced statistical techniques to look at the risk factors associated with death and poor outcome in very preterm babies. We will then be able to 'predict' outcomes and see if the differences between NICUs are real or not. If the variation between units is explained by differences in clinical practices, then this has enormous potential for quality improvement within the NICUs and through the development of new policy guidelines for clinical practice. The statistical models developed during this project will be useful for clinicians in other health areas and in other countries.

Funding Amount $AUD 130,440.00

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant