Literature DB >> 17073231

Hospital admissions by socio-economic status: does the 'inverse care law' apply to older Australians?

Agnes Walker1, Jim Pearse, Linc Thurecht, Ann Harding.   

Abstract

OBJECTIVE: To investigate whether the 'inverse care law' applies to New South Wales (NSW) hospital admissions--especially to older people with high socio-economic status (SES).
DESIGN: Cross-sectional study analysing inequalities in public and private hospital admission rates by SES, defined in terms of age, sex and family income/size at the small geographic area level.
SETTING: Admissions to NSW public and private hospitals in 1999-2000 (1.8 million admissions against a NSW population of 6.4 million).
METHODOLOGY: Inequalities in hospitalisation rates were expressed as rate ratios across the most and least disadvantaged 20% of the NSW population.
RESULTS: Public hospital admission rates for people aged 0-60 years were 24-35% higher for the most disadvantaged 20% of the NSW population than for the least disadvantaged 20%. For 70+ year-olds the direction of this difference was reversed--being 14% lower for the most disadvantaged 20% of the population (5% higher for public patients). For private hospitals this reversal prevailed for all age groups (23-49% lower). For all hospitals it was 16% and 27% lower for 60-69 and 70+ year-olds respectively, with higher admission rates for top SES 60+ year-olds most pronounced for renal dialysis, chemotherapy, colonoscopies and other diagnostic scopes, rehabilitation and follow-up, and cataract operations.
CONCLUSION: While the 'inverse care law' did apply to 60+ year-olds, it did not apply either to younger NSW hospital users or to public patients in public hospitals. IMPLICATIONS: Awareness of these SES-level differentials should result in greater equality of access to hospital services, especially by older people.

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Year:  2006        PMID: 17073231     DOI: 10.1111/j.1467-842x.2006.tb00466.x

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


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