Designing and Evaluating a Prediabetes Shared Decision Aid.

BACKGROUND: Prediabetes is increasing in prevalence and is associated with risk of developing diabetes, heart disease, stroke, and retinopathy. Clinicians have limited tools to facilitate prediabetes discussions within primary care visits. PURPOSE: 1) Develop a Patient and Stakeholder Advisory Committee (PASAC) to design, evaluate, and revise a prediabetes shared decision aid, and 2) evaluate the feasibility and experience of implementing the tool within primary care practice. METHODS: A prediabetes decision aid (double-sided infographic with decision questions) was created by a PASAC that included patients, primary care clinicians, diabetes educators, endocrinologists, and pharmacists. Five clinicians within 3 primary care practices tested the prediabetes tool with 50 adult patients with prediabetes. Patients completed 2 surveys immediately after the office visit and 6 weeks later. Clinicians and PASAC members completed a postintervention survey. RESULTS: The prediabetes shared decision aid was created through a deliberative process over 3 PASAC meetings. Ninety-six percent of patients felt the tool prepared them to decide on a diabetes prevention plan, and 100% of clinicians would use the tool again and felt the tool did not extend visit length. DISCUSSION: It was feasible to cocreate a prediabetes shared decision aid within a PASAC and implement the tool within a primary care setting. Patients and clinicians reported a prediabetes discussion, which may mitigate rates of progression to diabetes and associated complications. Future research should evaluate which of the intervention components most effectively promotes discussion of prediabetes within a primary care setting.

Projections of future numbers of dementia cases in Australia with and without prevention.

OBJECTIVE: To produce projections of the number of dementia cases in Australia from 2000 to 2050. These projections examine the effects of an ageing population on number of dementia cases and also the potential impact of preventive strategies that delay age of dementia onset. METHOD: Data from several meta-analyses of dementia prevalence and incidence were combined with age-specific population projections to arrive at estimates of future numbers of cases. A statistical model of dementia incidence was developed and used to estimate the effects of delaying onset by up to 5 years. RESULTS: Without prevention, prevalence of dementia is estimated to increase from 172 000 in 2000 to 588 000 in 2050. Over the same period, the incidence of dementia is estimated to increase from 43 000 to 143 000 new cases a year. Delaying onset by 5 years would decrease prevalence in 2050 by 44%. Even a 6-month delay would reduce prevalence by 6%. CONCLUSIONS: Ageing of the population will lead to a rapid increase in number of dementia cases and an increasing burden for the working-age population. However, even modest prevention efforts could lessen the impact.