Association of Everyday Discrimination With Depressive Symptoms and Suicidal Ideation During the COVID-19 Pandemic in the All of Us Research Program
YH Lee et al, JAMA Psychiatry, July 27, 2022
In this cohort study, everyday discrimination was associated with significantly increased odds of moderate to severe depressive symptoms and suicidal ideation between May and July 2020. Notably, this association was stronger among participants self-identifying as Hispanic or Latino or non-Hispanic Asian when the main reason for discrimination was race, ancestry, or national origins.
All of Us Seeks Input on Broadening Participants’ Electronic Health Record Data
All of US Research Program, July 26, 2022
Request for Information looks for guidance on how to acquire and integrate data from health information networks and health information exchanges.
“Health care in the United States is highly fragmented, so patient data is often siloed in different systems, making it difficult to access. Lack of interoperability and evolving data standards contribute to additional gaps in our EHR dataset.”
Calling on All of Us Public Health Scientists
MJ Khoury et al, CDC Blog Post, July 22, 2022
Scientists at the Centers for Disease Control and Prevention and elsewhere can now access and analyze data from the National Institutes of Health’s All of Us Research Program. In this post, we briefly explore three attributes of All of Us data that make them uniquely beneficial for public health scientists and other researchers interested in population health.
From All of Us Research to All of Us in the Real World: Using the All of Us Research Program Data to Improve Population Health
CDC Webinar, September 29, 2022
Through a Data Use Agreement with the All of Us Research Program, scientists at the Centers for Disease Control and Prevention can now register to access and analyze All of Us Research Program Data through a cloud platform. In this seminar we will: 1) Review the All of Us Research Program study design and current status, 2) Discuss its potential for providing important population data to inform implementation of disease prevention and to reduce health disparities and 3) Provide a hands-on training session for scientists interested in accessing and analyzing All of Us Data.