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If diabetes can be prevented in small countries, it can be prevented anywhere. Small countries should not be viewed as epidemiological outliers, but rather as early warning systems that provide valuable insight into how conditions develop and evolve within populations. The idea that small countries are not outliers and that we can test prevention policies in real time underscores their role as practical settings where interventions can be introduced and evaluated efficiently.
A distinct advantage lies in the ability to study the health of the entire population. National registries, primary care, and hospital datasets often allow near-complete capture of diabetes cases. As Dr Sarah Cuschieri notes, “we can cover the whole population using national registries and primary care data.” This supports accurate estimates of prevalence and incidence, enabling healthcare professionals to track trends, identify risk factors, and plan prevention strategies with a high level of precision.
Despite these strengths, research in small countries presents several limitations. One of the main challenges is the smaller number of individuals available for study. Limited sample sizes make it more difficult to analyse specific subgroups or identify fewer common patterns in diabetes. This can limit the ability to generalise findings to wider populations.
Workforce limitations are another factor to consider. Healthcare professionals in smaller countries often take on multiple responsibilities, including clinical care, research, and policy development. While this supports integrated care, it can also limit the time and resources available for in-depth research and innovation in diabetes care.
In addition, data systems are not always fully integrated. Primary care and hospital systems often use different platforms, leading to fragmented information. This can affect how easily healthcare providers access complete health records and can slow the evaluation of outcomes. Funding is another challenge, as research initiatives often rely on external financial support, which may limit long-term planning and sustainability.
In close-knit populations, where professional and social networks often overlap, maintaining anonymity can be challenging. As Dr Cuschieri describes, “everyone knows everyone,” which can influence how data is interpreted, reported, and communicated.
Political and institutional sensitivities may also arise. Data related to diabetes can highlight gaps in prevention and healthcare delivery, requiring careful communication to maintain trust while ensuring transparency.
Everyone knows everyone, which can influence how data is interpreted, reported, and communicated
The take-home message is that small countries are not outliers – they are early warning systems. Research from these settings shows the intertwined importance of early detection, personalised care, and community support, and how healthcare systems can respond quickly. These findings contribute to the development of scalable, people-centred solutions that can be adapted to both small and larger populations, supporting more responsive and effective care.
There is a clear opportunity for fellows, senior professionals, and public health organisations to collaborate to shape policies related to chronic conditions. Sharing expertise, resources and data allows healthcare systems to strengthen prevention strategies and enhance care for people living with diabetes. These joint efforts also help turn research findings into practical approaches that benefit local communities and wider populations.
