Two decade of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change

Keshavjee, Karim; Ali, Shawar; Khatami, Alireza; Guergachi, Aziz

doi:10.1016/j.diabres.2023.110680

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Option 1 (Primary Care), the current approach, is to expect that primary care physicians or their teams will do this type of work. This approach has not worked in the 2 decades since diabetes prevention programs have become well-described and proven [10], and we argue that, given the shortage of family physicians and the huge amount of time required to address this population-level issue, it is unlikely to work over the next 2 decades.…”

Section: Policy Options For Disease Prevention At Scalementioning

confidence: 99%

A Framework for Implementing Disease Prevention and Behavior Change Evidence at Scale

Keshavjee,

Candeliere,

Cepeda

et al. 2024

Studies in Health Technology and Informatics

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The current corpus of evidence-based information for chronic disease prevention and treatment is vast and growing rapidly. Behavior change theories are increasingly more powerful but difficult to operationalize in the current healthcare system. Millions of Canadians are unable to access personalized preventive and behavior change care because our in-person model of care is running at full capacity and is not set up for mass education and behavior change programs. We propose a framework to utilize data from electronic medical records to identify patients at risk of developing chronic disease and reach out to them using digital health tools that are overseen by the primary care team. The framework leverages emerging technologies such as artificial intelligence, digital health tools, and patient-generated data to deliver evidence-based knowledge and behavior change to patients across Canada at scale. The framework is flexible to enable new technologies to be added without overwhelming providers, patients or implementers.

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Section: Policy Options For Disease Prevention At Scalementioning

confidence: 99%