Individuals with intellectual and developmental disabilities (IDD) experience high rates of social and health disadvantage. Planning effective services that meet the needs of this vulnerable population requires good population-based data that are collected on a routine, ongoing basis. However, in most jurisdictions, none of the commonly available data (e.g., health or disability benefits administrative data) completely captures the IDD population. To more accurately identify persons with IDD in a population, one solution is to link data across multiple sources. To do this, the authors report on an effort to create a linked database to identify a cohort of adults, aged 18-64, with IDD in Ontario and use these data to examine how the linkage can help study health and healthcare access. The linked dataset was created using four health and one disability income support databases. Standardized differences were used to compare sociodemographic and clinical characteristics of the IDD cohorts identified through the health, disability income support, and linked datasets. Indirect estimation was used to evaluate which IDD subgroups might be over-or underestimated if only a single source of data was available. The linked database identified a cohort of 66,484 adults with IDD (0.78% prevalence). The health and disability income support data each uniquely identified approximately a third of the cohort. Health data were more likely to identify younger adults (18-24 years), those with psychiatric illnesses, and hospitalized individuals. The disability income support data were more likely to identify adults aged 35-54 and those living in lower income neighborhoods. By linking multiple databases, the authors were able to identify a much larger cohort of individuals with IDD than if they had used a single data source. It also enabled the creation of a more accurate sociodemographic and clinical profile of this population as each source captured different segments of it.

Compared to other adults, those with intellectual and developmental disabilities have more health issues, yet are less likely to receive preventative care. One strategy that has shown success in increasing prevention activities and early detection of illness is the periodic comprehensive health assessment (the health check). Effectively moving evidence into practice is a complex process that often receives inadequate attention. This qualitative study evaluates the implementation of the health check at two primary-care clinics in Ontario, Canada, and the influence of the clinic context on implementation decisions. Each clinic implemented the same core components; however, due to contextual differences, some components were operationalized differently. Adapting to the setting context is important to ensuring successful and sustainable implementation.

Since the release of the Standards, the Ontario Ministry of Health has partnered with a provincial network of EPI stakeholders to support practice improvement. This survey identified components where more implementation support is needed, overall and for rural area delivery. Ultimately, systematic monitoring of programme fidelity and measuring client outcomes are key to advancing the quality of EPI programme delivery.

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