title: Hospital admissions in the National Health Survey and hospital separations in the National Hospital Morbidity Dataset: what is the difference?
abstract: OBJECTIVE
  To compare the National Health Survey (NHS) derived estimates of hospital admissions with the number of hospital separations registered in the National Hospital Morbidity Dataset (NHMD).
  
  
  METHODS
  Using the person weights in the NHS, the Expanded Confidential Unit Record File of the 2004-05 NHS was used to derive a population estimate of the number of hospital admissions in the 12 months preceding the conduct of the survey. These estimates, by age and sex categories and whether or not the admission involved an overnight stay, were compared with the number of hospital separations registered in the NHMD.
  
  
  RESULTS
  The number of hospital admissions estimated from the NHS was approximately two thirds the number of hospital separations registered in the NHMD. The discrepancy between the two data sources was greater when hospital episodes did not involve an overnight stay in hospital.
  
  
  CONCLUSIONS
  There are systematic differences between the number of admissions/separations derived by the NHS and the NHMD for reasons including the technical difference between a hospital admission and a separation, and the sampling frame and scope of the NHS. Researchers looking for individual level data on hospital utilisation must take note of the differences between NHS and the NHMD, and recognise that there are methods to simulate a representative population by enhancing an existing dataset with information from multiple data sources, thus providing researchers a cost-effective data resource.
authors.affiliation: National Centre for Social and Economic Modelling, University of Canberra, ACT, Australia. geetha.ranmuthugala@natsem.canberra.edu.au
authors.forename: Geetha
authors.initials: G
authors.lastname: Ranmuthugala
authors.forename: Laurie
authors.initials: L
authors.lastname: Brown
authors.forename: Sharyn
authors.initials: S
authors.lastname: Lymer
authors.forename: Linc
authors.initials: L
authors.lastname: Thurecht
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D020958:Australian Capital Territory; D002648:Child; D002675:Child, Preschool; D005260:Female; D019538:Health Care Surveys; D006760:Hospitalization / Q000639:trends*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge / Q000639:trends*; D011159:Population Surveillance / Q000379:methods*