Medicine (RMH) - Research Publications

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    Diabetes Prevention and Treatment Strategies: Are we doing enough?
    Backholer, K ; Peeters, A ; Herman, WH ; Shaw, JE ; Liew, D ; Ademi, Z ; Magliano, DJ (AMER DIABETES ASSOC, 2013-09)
    OBJECTIVE: Effective interventions to prevent, delay, or remit diabetes are currently available. However, their impact on the prevalence of diabetes at the population level is unknown. This study aimed to estimate the impact of a range of diabetes interventions on the population prevalence of diabetes for Australian adults between 2010 and 2025. RESEARCH DESIGN AND METHODS: We used the Australian Diabetes Projection Model to estimate the impact of a population-wide strategy, high-risk prevention, surgical diabetes treatment, and a combination strategy on the future population prevalence of diabetes and to estimate the number of diabetes cases that could be potentially prevented in the year 2025. RESULTS: We estimate that a population-wide strategy would reduce the number of diabetes cases by 60,000-85,000 in 2025 from an estimated 2 million cases under the status quo scenario. A high-risk prevention strategy would result in 106,000 to 150,000 fewer cases of diabetes in 2025, and surgically induced weight loss would result in 3,000-6,000 fewer cases. No single intervention, or combination of interventions, reversed the increasing trend in diabetes prevalence over the next 15 years. CONCLUSIONS: To reverse upward trends in diabetes prevalence in future years, it is essential that current approaches to diabetes prevention and treatment are optimized and implemented and that alternative approaches to reduce the prevalence of diabetes at a population level are developed.
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    Comparison of Health-Related Quality of Life, Work Status, and Health Care Utilization and Costs According to Hip and Knee Joint Disease Severity: A National Australian Study
    Ackerman, LN ; Ademi, Z ; Osborne, RH ; Liew, D (OXFORD UNIV PRESS INC, 2013-07)
    BACKGROUND: No population-based studies have investigated how the impact of hip and knee joint disease may vary with increasing severity. OBJECTIVE: The purpose of this study was to evaluate health-related quality of life (HRQoL), work status, and health service utilization and costs according to severity of hip and knee joint disease. DESIGN: A national cross-sectional survey was conducted. METHODS: Five thousand individuals were randomly selected from the Australian electoral roll and invited to complete a questionnaire to screen for doctor-diagnosed hip arthritis, hip osteoarthritis (OA), knee arthritis, and knee OA. Severity was classified by means of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores (range=0-100): <7=asymptomatic, 7-38=mild-moderate, and ≥39=severe. Health-related quality of life was evaluated by means of the Assessment of Quality of Life (AQoL) instrument (range=-0.04 to 1.00; scored worst-best). Self-reported data on work status and health service utilization were collected, with health care costs estimated with the use of government data. RESULTS: Data were available for 1,157 participants, with 237 (20%) reporting hip or knee joint disease. Of these, 16% (n=37) were classified as asymptomatic, 51% (n=120) as mild-moderate, and 27% (n=64) as severe. The severe group reported very low HRQoL (adjusted mean AQoL=0.43, 95% confidence interval [95% CI]=0.38-0.47) compared with the mild-moderate group (adjusted mean AQoL=0.72, 95% CI=0.69-0.75) and the asymptomatic group (adjusted mean AQoL=0.80, 95% CI=0.74-0.86). Compared with the asymptomatic group, the severe group was >3 times less likely to undertake paid work (adjusted odds ratio=0.28, 95% CI=0.09-0.88) and >4 times less likely to undertake unpaid work (adjusted odds ratio=0.24, 95% CI=0.10-0.62). Although physical therapy services were used infrequently, primary and specialist care utilization and costs were highest for the severe group. LIMITATIONS: Other costs (including physical therapy consultations) were unavailable. CONCLUSIONS: A clear pattern of worsening HRQoL, reduced work participation, and higher medical care utilization was seen with increasing severity of joint disease.
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    Cost-Effectiveness of Optimizing Use of Statins in Australia: Using Outpatient Data From the REACH Registry
    Ademi, Z ; Reid, CM ; Hollingsworth, B ; Stoelwinder, J ; Steg, PG ; Bhatt, DL ; Vale, M ; Liew, D (ELSEVIER, 2011-10)
    BACKGROUND: Although few cardiovascular registries report the costs of illness or cost-effectiveness of health interventions, such information is critical to inform the effective and cost-effective management of cardiovascular disease, particularly if drawn from population-based registries, which more accurately reflect clinical practice and follow up patients for much longer than clinical trials. OBJECTIVE: The goal of this study was to estimate the cost-effectiveness of closing the statin "treatment gap" in the secondary prevention of coronary artery disease (CAD) in Australia. METHODS: A decision analysis Markov model was developed with yearly cycles and the health states of alive or dead. Using data from the Australian Reduction of Atherothrombosis for Continued Health Registry, the model compared current statin coverage (82%) in the secondary prevention of CAD (the current group) with a hypothetical situation of 100% coverage (the improved group). The 18% gap was filled with use of generic statins. Data from a recent meta-analysis were used to estimate the benefits of statin use in terms of reducing recurrent cardiovascular events and death. Government reimbursement data from 2011 were used to calculate direct health care costs. The cost of the intervention to improve statin coverage was assumed to be $250 per person. Years of life lived and costs were discounted at 5% annually. All values are given in Australian dollars. RESULTS: Among the 2058 subjects in the current group, the model estimated that there would be 106 nonfatal myocardial infractions, 68 nonfatal strokes, and 275 deaths over 5 years. In the improved group, all of whom took statins, the corresponding numbers were 101, 65, and 259, equating to numbers needed to treat of 426, 639, and 127, respectively. Over the 5 years, there would be 0.018 life-years gained (discounted) at a net cost of $546 (discounted) per person. These equated to an incremental cost-effectiveness ratio of $29,717 per life-year gained. CONCLUSION: The results suggest that for patients with CAD, maximizing coverage with statins, in line with evidence-based recommendations, represents a cost-effective means of secondary prevention.