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The Aboriginal and Torres Strait Islander casemix study

D A Fisher1, J M Murray, M I Cleary

  • 1Royal Darwin Hospital, NT. dale.fisher@nt.gov.au

The Medical Journal of Australia
|November 27, 1998
PubMed
Summary
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Aboriginal and Torres Strait Islander (ATSI) patients incur higher hospital costs than non-ATSI patients due to longer stays and more infectious diseases. This study quantifies resource use differences for casemix funding considerations.

Area of Science:

  • Health Services Research
  • Health Economics
  • Indigenous Health

Background:

  • Casemix-based funding is increasingly used for hospitals.
  • Clinical observations suggest higher resource consumption for Aboriginal patients.
  • Quantitative data are needed to validate these observations.

Purpose of the Study:

  • To quantify the difference in resource consumption between Aboriginal and non-Aboriginal inpatients.
  • To inform hospital funding models based on casemix.
  • To compare costs per Australian Diagnosis Related Group (AN-DRG) for different patient populations.

Main Methods:

  • Collected inpatient utilization data from 10 hospitals over three months.
  • Calculated cost per inpatient episode, grouped by AN-DRG.

Related Experiment Videos

  • Compared costs and length of stay between Aboriginal and Torres Strait Islander (ATSI) patients and non-ATSI patients.
  • Main Results:

    • ATSI patients had a longer average length of stay and higher admission frequency variation.
    • Infectious diseases were more prevalent in ATSI patients; degenerative and neoplastic conditions were more common in non-ATSI patients.
    • Casemix-adjusted costs per patient episode were significantly higher for ATSI patients ($1856) compared to non-ATSI patients ($1558).

    Conclusions:

    • This study quantifies significant differences in hospital resource consumption between ATSI and non-ATSI populations.
    • Findings highlight the need to recognize atypical patient populations in some hospitals for special funding.
    • The results support adjustments to casemix funding models to account for differential resource use.