title: Trends in New South Wales infant hospital readmission rates in the first year of life: a population-based study.
abstract: OBJECTIVE
  To examine the trends in hospital readmissions in the first year of life and identify whether changes in maternal and infant risk factors explain any changes.
  
  
  METHODS
  Population-based study using de-identified linked health data.
  
  
  METHODS
  All 788 798 live-born infants delivered in New South Wales from 1 January 2001 to 31 December 2009 with a linked birth and hospital record.
  
  
  METHODS
  The number of infants readmitted to hospital at least once after discharge home from the birth admission to 1 year of age, per 100 live births each year, and changes in maternal and infant risk factors assessed by logistic regression.
  
  
  RESULTS
  The number of infants readmitted to hospital up to age 1 year decreased by 10.5% (average annual reduction, 1.8%; 95% CI, - 1.7% to - 0.01%, P = 0.001), from 18.4 per 100 births in 2001 to 16.5 in 2009. Fifty-five per cent of this decrease could be explained by changes in factors that are associated with likelihood of hospitalisation; length of stay during the birth admission, maternal age and maternal smoking. The rate of readmissions for jaundice and feeding difficulties increased significantly over the study period, while readmissions for infections decreased.
  
  
  CONCLUSIONS
  There has been a decrease in the rate of infants readmitted to hospital in the first year of life, which can be partly explained by increasing maternal age, decreasing maternal smoking and a shift to shorter length of hospital stay at birth. Improved maternal and neonatal care in hospital and increased postnatal support at home may have contributed to reduced risk of readmission.
authors.affiliation: Clinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW, Australia. Samantha.lain@sydney.edu.au.
authors.forename: Samantha J
authors.initials: SJ
authors.lastname: Lain
authors.affiliation: Clinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.
authors.forename: Christine L
authors.initials: CL
authors.lastname: Roberts
authors.affiliation: Royal North Shore Hospital, Sydney, NSW, Australia.
authors.forename: Jennifer R
authors.initials: JR
authors.lastname: Bowen
authors.affiliation: Clinical and Population Perinatal Health Research, Kolling Institute of Medical Research, University of Sydney, Sydney, NSW, Australia.
authors.forename: Natasha
authors.initials: N
authors.lastname: Nassar
mesh_terms: D005260:Female; D005544:Forecasting; D006302:Health Services Research / Q000639:trends; D006776:Hospitals, Pediatric / Q000706:statistics & numerical data* / Q000639:trends*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007235:Infant, Premature, Diseases / Q000453:epidemiology / Q000628:therapy; D007902:Length of Stay / Q000639:trends; D016013:Likelihood Functions; D008297:Male; D008423:Maternal Age; D009517:New South Wales; D010359:Patient Readmission / Q000706:statistics & numerical data* / Q000639:trends*; D012307:Risk Factors; D014028:Tobacco Smoke Pollution / Q000009:adverse effects; D014600:Utilization Review / Q000639:trends
chemical_list: D014028:Tobacco Smoke Pollution