Authors: Clarke,P.;Leal,J.;Kelman,C.;Smith,M.;Colagiuri,S.

Publication: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

Year: 2008

Volume: 11

Issue: 2

Start Page: 199

ABSTRACT:

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.

• Listing ID: 4497
• Author/s: Clarke,P.;Leal,J.;Kelman,C.;Smith,M.;Colagiuri,S.
• Publication: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
• Year: 2008
• Volume: 11
• Issue: 2
• Start Page: 199
• Article Keywords: Adult;Aged;Aged, 80 and over;Databases, Factual;Diabetes Complications/economics;Female;Follow-Up Studies;Health Care Costs;Humans;Male;Middle Aged;Models, Economic;National Health Programs/economics;Regression Analysis;Western Australia