Recognising potential for preventing hospitalisation

Banham, David, Woollacott, Tony, Gray, John, Humphrys, Brett, Mihnev, Angel, and McDermott, Robyn (2010) Recognising potential for preventing hospitalisation. Australian Health Review, 34 (1). pp. 116-122.

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View at Publisher Website: http://dx.doi.org/10.1071/AH09674
 
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Abstract

To identify the incidence and distribution of public hospital admissions in South Australia that could potentially be prevented with appropriate use of primary care services, analysis was completed of all public hospital separations from July 2006 to June 2008 in SA. This included those classified as potentially preventable using the Australian Institute of Health and Welfare criteria for selected potentially preventable hospitalisations (SPPH), by events and by individual, with statistical local area geocoding and allocation of relative socioeconomic disadvantage quintile. A total of 744 723 public hospital separations were recorded, of which 79 424 (10.7%) were classified as potentially preventable. Of these, 59% were for chronic conditions, and 29% were derived from the bottom socioeconomic status (SES) quintile. Individuals in the lowest SES quintile were 2.5 times more likely to be admitted for a potentially preventable condition than those from the top SES quintile. Older individuals, males, those in the most disadvantaged quintiles, non-metropolitan areas and Indigenous people were more likely to have more than one preventable admission.

People living in more disadvantaged areas in SA appear to have poorer utilisation of effective primary care, resulting in preventable hospital admissions, than those in higher SES groups. The SA Health Care Plan, 2007-2016 is aimed at investing in improved access to primary care in those areas of most disadvantage. The inclusion of SPPHs in future routine reporting should identify if this has occurred.

Item ID: 35801
Item Type: Article (Research - C1)
ISSN: 1449-8944
Date Deposited: 15 Oct 2014 16:48
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111716 Preventive Medicine @ 100%
SEO Codes: 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 100%
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