![]() ![]() The field tends to associate high prevalence of diseases and occurrences of health-related phenomena with high public health significance. Lastly, as part of the paradigm shift in how we study and address racism and health disparities, we suggest there is a need to rethink what populations and phenomena are significant for public health research and interventions. For example, a review of cardiovascular outcome trials among populations with type 2 diabetes across Europe, the USA, and the UK reported that of eight trials that included race/ethnicity data, South Asians populations (who have a higher diabetes risk compared to White groups) were underrepresented compared to the UK type 2 diabetes population and expected proportions globally. Underrepresentation of ethnically/racially minoritized populations in public health and clinical research is a continuous problem that limits the application of findings and the ability to conduct comparisons across studies and countries. First, more racially and ethnically representative datasets are needed whether they are constructed through macro surveillance systems or smaller scale research studies. ![]() Moving forward, to ensure health equity policies, programs, and interventions are based on reliable, effective research we must revisit the limitations of the field of public health to date, including the type of data, guiding theories, and approaches we have used. ![]()
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