Dataset:
Australian and New Zealand Neonatal Network Data 2004

dc.coverage.spatial All level II neonatal intesive care units (NICUs) in Australia and New Zealand and 15 level II nurseries en_US
dc.date.accessioned 2021-11-26T10:31:43Z
dc.date.available 2021-11-26T10:31:43Z
dc.date.issued 2013 en_US
dc.description.abstract The data has been collected by the Australian and New Zealand Neonatal Network (ANZNN) to improve the care of high-risk newborn infants and their families in Australian and New Zealand through collaborative audit and research. This is the fourteenth year that the ANZNN has collected data, allowing comparative reporting over time. Registration criteria - babies who meet one or more of the following criteria are eligible for registration with the ANZNN: * born at less than 32 completed weeks gestation, or * weighed less than 1,500 grams at birth, or * received assisted ventilation (mechanical ventilation) including intermittent positive pressure ventilation (IPPV) or continuous positive pressure (CPAP) for four or more consecutive hours, or died while receiving mechanical ventilation prior to four hours of age, or * received major surgery (surgery that involved opening a body cavity), or * received therapeutic hypothermia. Babies who were discharged home and readmitted to neonatal intensive care unit (NICU) during their neonatal period were not eligible for registration in the ANZNN. Babies who were discharged home and readmitted to a NICUS during their neonatal period are not registered to ANZNN. The hospital of registration for a baby is the first level III NICU that the baby remained in for four or more hours during the first 28 days of life. Babies who received their entire care in a level II hospital or who were not transferred to a level III NICU during the first 28 days were registered to the first level II centre that they remained in for four or more hours. In 2004, 7,399 babies registered to ANZNN in all NICUs in Australia and New Zealand and 361 babies registered to ANZNN in 15 level II nurseries. Data in this collection include: maternal characteristics (maternal age, presenting antenatal problem, antenatal corticosteroid use, method of birth and place of birth) and baby's characteristics (baby gender, transfer after birth, multiple births, congenital abnormalities, apgar score at birth, exogenous surfactant, respiratory assistance, type of assisted ventilation, ventilation in babies born at less than 32 weeks gestation, ventilation in babies born at 32 to 36 weeks gestation, ventilation in babies born at term, chronic lung disease, pulmonary air leak, cerebral ultrasound, neonatal surgery, necrotising enterocolitis, neonatal infection,, transfer from level III NICUs to other units, length of stay until discharge home and survival of the ANZNN registrants). https://npesu.unsw.edu.au/data-collection/australian-new-zealand-neonatal-network-anznn en_US
dc.identifier.uri http://hdl.handle.net/1959.4/004_2084
dc.language English
dc.language.iso EN en_US
dc.subject.other neonatology en_US
dc.subject.other newborn infants en_US
dc.subject.other neonatal intensive care en_US
dc.subject.other high-risk babies en_US
dc.subject.other morbidity en_US
dc.subject.other mortality en_US
dc.subject.other birth en_US
dc.subject.other statistics en_US
dc.subject.other Australia en_US
dc.subject.other New Zealand en_US
dc.subject.other Australian and New Zealand Neonatal Network en_US
dc.title Australian and New Zealand Neonatal Network Data 2004 en_US
dc.type Dataset en_US
dcterms.accessRights metadata only access
dcterms.rights All members of the ANZNN and PRERU may apply to the ANZNN Advisory Committee to use the dataset for further analysis and research. Separate ethical approval is required for each approved project and a confidentiality agreement must be signed by the person requesting the data prior to release the data. en_US
dcterms.rightsHolder University of New South Wales en_US
dspace.entity.type Dataset en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.contributor.corporate Australian and New Zealand Neonatal Network en_US
unsw.contributor.leadChiefInvestigator Chow, Sharon en_US
unsw.contributor.researchDataCreator Chow, Sharon en_US
unsw.coverage.temporalFrom 2004-1-1 en_US
unsw.coverage.temporalTo 2004-12-31 en_US
unsw.description.storageplace ANZNN, Perinatal and Reproductive Epidemiology Research Unit (PRERU), School of Women's and Children's Health, UNSW Australia, Level 1 AGSM Building, NSW 2052 en_US
unsw.identifier.doi https://doi.org/10.26190/unsworks/1253
unsw.isDatasetRelatedToDataset Australian and New Zealand Neonatal Network Data 2005
unsw.isDatasetRelatedToDataset Australian and New Zealand Neonatal Network Data 2006
unsw.isDatasetRelatedToDataset Australian and New Zealand Neonatal Network Data 2007
unsw.isDatasetRelatedToDataset Australian and New Zealand Neonatal Network Data 2008-2009
unsw.isDatasetRelatedToDataset Australian and New Zealand Neonatal Network Data 2010
unsw.isDatasetRelatingToDataset Australian and New Zealand Neonatal Network Data 2011
unsw.isPublicationRelatedToDataset Report of the Australian and New Zealand Neonatal Network 2004
unsw.relation.OriginalPublicationAffiliation Australian and New Zealand Neonatal Network, , , School of Women's and Children's Health, en_US
unsw.relation.OriginalPublicationAffiliation Chow, Sharon, Centre for Big Data Research, Medicine & Health, en_US
unsw.relation.faculty Medicine & Health
unsw.relation.projectDesc The purpose of ANZNN data collection is to monitor the care of high-risk newborn infants. Data collected through ANZNN are used to provide quality assurance of this type of care and are served as a data repository of ANZNN community. en_US
unsw.relation.projectTitle Australian and New Zealand Neonatal Network Data Register en_US
unsw.relation.school Centre for Big Data Research in Health
unsw.subject.fieldofresearchcode 111499 Paediatrics and Reproductive Medicine not elsewhere classified en_US
unsw.subject.fieldofresearchcode 111003 Clinical Nursing: Secondary (Acute Care) en_US
unsw.subject.fieldofresearchcode 111706 Epidemiology en_US
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