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The MyHospitals website is moving on 31 March 2020

Don’t worry – from December 11 2019 you will be able to find the latest information about your local area on the MyHospitals webpages on the AIHW website, along with many more reports and data on a range of health and welfare topics.

In some cases, the way you find information has changed. If you need help finding anything, please contact the AIHW.

Once the new MyHospitals website has been created, you will be able to access old archived versions of the previously published data through Trove, the National Library of Australia’s web archive. Please note the interactive content will not work in the archived version.

Hospital Performance: Healthcare-associated Staphylococcus aureus bloodstream infections in 2011–12

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Future development

During this project, the Authority investigated multiple approaches for risk-adjustment of healthcare-associated S. aureus bloodstream infections rates for comparison, including:

  • Logistic, Poisson and negative binomial regression modelling to investigate hospital-level risk factors (e.g. age distribution, % oncology patients, % surgery) contributing to S. aureus bloodstream infection rates. The most appropriate model (negative binomial) was found to be unstable with regard to risk factor significance
  • Patient-level risk adjustment using the newly introduced ICD-10-AM code for nosocomial S. aureus bloodstream infections (U90.0). While this model was more stable, the coefficients or risk estimates for factors did not have face validity among clinicians. The Authority staff also heard concerns around the data quality of this new code from clinicians and hospital coders.

The Authority will work with others to advise on how these data and methods can be improved with the aim of supporting reliable approaches to fairly comparing hospitals in relation to healthcare-associated S. aureus bloodstream infections.

Table 2: Hospital peer groups for reporting by number of hospital and S. aureus bloodstream infection

Hospital peer group Number of hospitals Rate (cases per 10,000 patient days monitored)
Mean Minimum Maximum
Major hospitals,
more vulnerable patients
36 1.38 0.47 2.15
Major hospitals,
fewer vulnerable patients
40 0.90 0.17 2.59
Large hospitals,
more vulnerable patients
16 1.01 0 2.30
Large hospitals,
fewer vulnerable patients
23 0.33 0 1.11
Medium hospitals,
more vulnerable patients
34 0.71 0 2.01
Medium hospitals,
fewer vulnerable patients
50 0.35 0 2.95
Small hospitals,
more vulnerable patients
34 0.34 0 2.38
Small hospitals,
fewer vulnerable patients
45 0.23 0 1.50

More and fewer vulnerable patients refers to hospitals deemed to have, for their peer group, a high or low percentage of patient bed days monitored for patients with one or more of the identified risk factors.