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Continuous surveillance of stroke admissions has been conducted in the Hunter region, Australia, over the past two decades. We aimed to describe the trends in incidence rates of hospitalised stroke and case-fatality rates in this region, 2001-2019.From a hospital-based stroke registry, data for admitted adult stroke patients residing in the Hunter region were collected using ICD-10 codes for ischemic and haemorrhagic stroke. Negative binomial regression and logistic regression analysis were used to analyse trends for age-standardised and age-specific incidence rates of hospitalised stroke and 28-day case-fatality rates.A total of 14,662 hospitalisations for stroke in 13,242 individuals were registered. The age-standardised incidence rate declined from 123 per 100,000 population in the 2001-2005 epoch to 96 in the 2016-2019 epoch (mean annual change -2.0%, incidence rate ratio (IRR) = 0.980 [95%CI: 0.976-0.984]). Age-specific analyses identified significant reduction in the group aged 75-84 (1039 per 100,000 population in 2001-2005 to 633 in 2016-2019, annual change -3.5%, IRR= 0.965 [95%CI: 0.960-0.970]). The 28-day case-fatality rates fluctuated over time (18.5% in 2001-2005, 20.8% in 2010-2015, and 17.8% in 2016-2019). Projected population aging suggests annual volume of patients with new stroke will increase by 77% by 2041 if incidence rates remain unchanged at the 2016-2019 level.Although age-standardised hospitalised stroke incidence rates have declined in the Hunter region, the health system will face an increase in stroke hospitalisations related to the aging population.

Background In stroke survivors, post-stroke fatigue predicts dependency in daily living and failure to return to work. Modafinil shows promise as a pharmacotherapy to reduce post-stroke fatigue and related sequelae, e.g., poorer functional and clinical outcomes. Aims This study explored the cost-effectiveness of modafinil in treating post-stroke fatigue in the Australian context, by determining its incremental cost-effectiveness ratio (ICER) and by simulating the potential cost-savings on a national scale, through a re-analysis of MIDAS trial data. Methods A post hoc cost-effectiveness analysis was undertaken. Part A: patient-level cost and health effect data (Multidimensional Fatigue Inventory (MFI) scores) were derived from the MIDAS trial and analysis undertaken from a health-system perspective. Part B: a secondary analysis simulated the societal impact of modafinil therapy in terms of national productivity costs. Results Part A: Mean cost of modafinil treatment was AUD$3.60/day/patient for a minimally clinically important change (10 points) in total MFI fatigue score, i.e., AUD$0.36/day/unit change in fatigue score per patient. For the base case scenario, the ICER of using modafinil (versus placebo) was AUD$131.73 ($90.17 – 248.15, for minimum and maximum costs, respectively). Part B: The potential productivity cost-savings to society were calculated as nearly AUD$467 million over 1 year, and up to $383,471,991,248 over 10 years, from the widespread use of modafinil treatment in the Australian population of working-age stroke-survivors, representing a significant societal benefit. Conclusions Modafinil is a highly cost-effective treatment for post-stroke fatigue, offering significant productivity gains and potential cost-savings to society from the widespread use of modafinil treatment in the Australian population of working-age stroke-survivors.