Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

OBJECTIVES: To estimate Australian health-care costs in the year of first occurrence and subsequent years for major diabetes-related complications using administrative health-care data. METHODS: The costs were estimated using administrative information on hospital services and primary health-care services financed through Australia's national health insurance system Medicare. Data were available for 70,340 patients with diabetes in Western Australia (mean duration of 4.5 years of follow-up). Multiple regression analysis was used to estimate inpatient and primary care costs. RESULTS: For a man aged 60 years, the average costs in the year the event first occurred were: amputation $20,416 (95% CI 18,670-22,411); nonfatal myocardial infarction (MI) $11,660 (10,931-12,450); nonfatal stroke $14,012 (12,849-15,183); ischaemic heart disease $12,577 (12,026-13,123); heart failure $15,530 (13,965-17,009); renal failure $28,661 (22,989-34,202); and chronic leg ulcer $15,413 (13,089-18,123). The costs in subsequent years for a man aged 60 years range from 14% for nonfatal MI to 106% for renal failure, of event costs. CONCLUSIONS: Estimates of the health-care costs associated with diabetes-related complications can be used in modeling the long-term costs of diabetes and in evaluating the cost-effectiveness of improving care.

Original publication

DOI

10.1111/j.1524-4733.2007.00228.x

Type

Journal

Value Health

Publication Date

03/2008

Volume

11

Pages

199 - 206

Keywords

Adult, Aged, Aged, 80 and over, Databases, Factual, Diabetes Complications, Female, Follow-Up Studies, Health Care Costs, Humans, Male, Middle Aged, Models, Economic, National Health Programs, Regression Analysis, Western Australia