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Healthcare Associated Infections II: Preventive Measures

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Updated: Jun 14, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

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Published on: May 15, 2020

Recognising potential for preventing hospitalisation.

David Banham1, Tony Woollacott, John Gray

  • 1Strategic Planning, Research and Analysis Unit, SA Health, Level 10, CitiCentre 11 Hindmarsh Square, Adelaide, SA 5000, Australia. david.banham@health.sa.gov.au

Australian Health Review : a Publication of the Australian Hospital Association
|March 26, 2010
PubMed
Summary
This summary is machine-generated.

Public hospital admissions in South Australia could be prevented with better primary care. Individuals in lower socioeconomic groups and older males were more likely to have preventable hospitalizations.

Related Experiment Videos

Last Updated: Jun 14, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Area of Science:

  • Public Health
  • Health Services Research
  • Epidemiology

Background:

  • Potentially preventable hospitalizations (PPH) represent a burden on healthcare systems.
  • Primary care services play a crucial role in preventing unnecessary hospital admissions.

Purpose of the Study:

  • To determine the incidence and geographic distribution of PPH in South Australia.
  • To identify demographic and socioeconomic factors associated with PPH.

Main Methods:

  • Analysis of public hospital separations in South Australia (July 2006 - June 2008).
  • Classification of hospitalizations as potentially preventable using Australian Institute of Health and Welfare criteria.
  • Geocoding by statistical local area and socioeconomic status (SES) quintile.

Main Results:

  • Over 744,000 hospital separations were analyzed, with 10.7% classified as PPH.
  • Chronic conditions accounted for 59% of PPH.
  • Individuals in the lowest SES quintile were 2.5 times more likely to experience PPH compared to the highest SES quintile.

Conclusions:

  • A significant proportion of public hospital admissions in South Australia are potentially preventable.
  • Socioeconomic disadvantage is strongly linked to higher rates of PPH.
  • Targeted primary care interventions are needed, particularly for disadvantaged populations, older males, Indigenous people, and non-metropolitan residents.