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Objective: While it is generally accepted that adults with intellectual and developmental disabilities (IDDs) use health services to a greater extent than the general population, there is remarkably little research that focuses on the costs associated with their health care. Using population‐based data from adults with IDD in Ontario, this study aimed to estimate overall health care costs, classify individuals into high and non‐high cost categories and describe differences in the demographics, clinical profiles and health care use patterns between these groups. Design A retrospective cohort study based in Ontario, Canada, was conducted with the use of linked administrative health data. Methods: A costing algorithm developed for the general population in Ontario was applied to estimate health care costs of adults with IDD under age 65 for 2009 and 2010. Individuals were categorised into two groups according to whether their total annual health care costs were among the highest decile in the general population. These groups were compared on demographic and clinical variables, and relative mean costs for six types of health care services in the two groups were computed. In addition, we computed the proportion of individuals who remained in the high cost group over 2 years. Results: Among adults with IDD, 36% had annual health care expenditures greater than $2610 CAD (top decile of all Ontario adults under 65). These individuals were more likely to be female, to be in the oldest age groups, to live in group homes and to be receiving disability income support than individuals whose expenditures were below the high cost threshold. In addition, they had higher rates of all the physical and mental health conditions studied. Greatest health care expenses were due to hospitalisations, especially psychiatric hospitalisations, continuing care/rehabilitation costs and medication costs. The majority of individuals whose health care costs placed them in the high cost category in 2009 remained in that category a year later. Discussion: Adults with IDD are nearly 4 times as likely to incur high annual health care costs than those without IDD. Individuals with IDD and high health care costs have unique health and demographic profiles compared with adults with IDD whose annual health care costs are below the high cost threshold. Attending to their health care needs earlier in their health care trajectory may be an opportunity to improve health and reduce overall health care costs. It is important that we explore how to best meet their needs. Models proposed to meet the needs of adults with high health care costs in the general population may not apply to this unique group. [ABSTRACT FROM AUTHOR]

Objective: To systematically review the published academic literature on the cost of chronic ulcers. Methods: A literature search was conducted in MEDLINE, EMBASE, HealthSTAR, Econlit and CINAHL up to 12 May 2016 to identify potential studies for review. Cost search terms were based on validated algorithms. Clinical search terms were based on recent Cochrane reviews of interventions for chronic ulcers. Titles and abstracts were screened by two reviewers to determine eligibility for full text review. Study characteristics were summarised. The quality of reporting was evaluated using a modified cost-of-illness checklist. Mean costs were adjusted and inflated to 2015 $US and presented for different durations and perspectives. Results: Of 2267 studies identified, 36 were eligible and included in the systematic review. Most studies presented results from the healthcare public payer or hospital perspective. Many studies included hospital costs in the analysis and only reported total costs without presenting condition-specific attributable costs. The mean cost of chronic ulcers ranged from $1000 per year for patient out of pocket costs to $30,000 per episode from the health-care public payer perspective. Mean one year cost from a health-care public payer perspective was $44,200 for diabetic foot ulcer (DFU), $15,400 for pressure ulcer (PU) and $11,000 for leg ulcer (LU). Conclusions: There was large variability in study methods, perspectives, cost components and jurisdictions, making interpretation of costs difficult. Nevertheless, it appears that the cost for the treatment of chronic ulcers is substantial and greater attention needs to be made for preventive measures. Declaration of interest: The authors have nothing to declare. [ABSTRACT FROM AUTHOR]

Aims To estimate the healthcare costs attributable to diabetes in Ontario, Canada using a propensity-matched control design and health administrative data from the perspective of a single-payer healthcare system. Methods Incident diabetes cases among adults in Ontario were identified from the Ontario Diabetes Database between 2004 and 2012 and matched 1:3 to control subjects without diabetes identified in health administrative databases on the basis of sociodemographics and propensity score. Using a comprehensive source of administrative databases, direct per-person costs (Canadian dollars 2012) were calculated. A cost analysis was performed to calculate the attributable costs of diabetes; i.e. the difference of costs between patients with diabetes and control subjects without diabetes. Results The study sample included 699 042 incident diabetes cases. The costs attributable to diabetes were greatest in the year after diagnosis [C$3,785 (95% CI 3708, 3862) per person for women and C$3,826 (95% CI 3751, 3901) for men], increasing substantially for older age groups and patients who died during follow-up. After accounting for baseline comorbidities, attributable costs were primarily incurred through inpatient acute hospitalizations, physician visits and prescription medications and assistive devices. Conclusions The excess healthcare costs attributable to diabetes are substantial and pose a significant clinical and public health challenge. This burden is an important consideration for decision-makers, particularly given increasing concern over the sustainability of the healthcare system, aging population structure and increasing prevalence of diabetic risk factors, such as obesity. [ABSTRACT FROM AUTHOR]