Search

With scientific advances during the COVID-19 pandemic and expansion of artificial intelligence (AI) in research, there has been a simultaneous increase in misinformation about data collection, privacy, and sharing in clinical trials. This increase has been com-pounded by general mistrust in the clinical research industry partly because of problematic practices, such as data manipulation, withholding of safety information, and inaccurate or even non-existent results reporting. All these issues contribute to the public, patients, caregivers, and even healthcare professionals being inadequately informed about clinical research and related data usage. Through transparency, clarity, and honesty, trust can be rebuilt. Recognising the clinical research landscape has changed over the last decade and that currently available information is not developed or formatted in ways that can be easily understood, we describe creating widely accessible videos and infographics to support data literacy, utilising the most recent tools and technology for content development and dissemination. [ABSTRACT FROM AUTHOR]

With disparate rates of morbidity and mortality among minoritized communities, COVID-19 illuminated the need for equity-informed practices in public health. Pacia et al posit FQHCs as entities that addressed inequity when others failed. This commentary further situates how FQHCs address the public health crisis of institutional racism and related health inequities every day and presents a FQHC-led Ethics and Equity Framework and Workflow Checklist to guide ethical and equitable engagement with FQHCs. [ABSTRACT FROM AUTHOR]