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A Unified Approach to Health Data Exchange: A Report From the US DHHS.
JAMA
January 2025
Assistant Secretary for Technology Policy/Office of the National Coordinator for Health IT, Washington, DC.
Importance: Health information technology, such as electronic health records (EHRs), has been widely adopted, yet accessing and exchanging data in the fragmented US health care system remains challenging. To unlock the potential of EHR data to improve patient health, public health, and health care, it is essential to streamline the exchange of health data. As leaders across the US Department of Health and Human Services (DHHS), we describe how DHHS has implemented fundamental building blocks to achieve this vision.
View Article and Find Full Text PDFA World Without WHO-A Crossroads for US Global Health Leadership.
JAMA
January 2025
Office of Global Affairs, US Department of Health and Human Services, Washington, DC.
Coding intensity variation in Medicare Advantage.
Health Aff Sch
January 2025
Department of Health Care Policy, Harvard Medical School, Boston, MA 02115, United States.
Enrollment in Medicare Advantage (MA) plans rose to over 50% of eligible Medicare patients in 2023. Payments to MA plans incorporate risk scores that are largely based on patient diagnoses from the prior year, which incentivizes MA plans to code diagnoses more intensively. We estimated coding inflation rates for individual MA contracts using a method that allows for differential selection into contracts based on patient health.
View Article and Find Full Text PDFPerinatal Smoking Patterns From Preconception to 1-Year Post Partum.
JAMA Netw Open
January 2025
Department of Health Policy and Management, Columbia University Mailman School of Public Health, New York, New York.
Brain Age Modeling and Cognitive Outcomes in Young Adults With and Without Sickle Cell Anemia.
JAMA Netw Open
January 2025
Department of Neurology, Washington University in St Louis School of Medicine, St Louis, Missouri.
Importance: Both sickle cell anemia (SCA) and socioeconomic status have been associated with altered brain structure and cognitive disability, yet precise mechanisms underlying these associations are unclear.
Objective: To determine whether brains of individuals with and without SCA appear older than chronological age and if brain age modeling using brain age gap (BAG) can estimate cognitive outcomes and mediate the association of socioeconomic status and disease with these outcomes.
Design, Setting, And Participants: In this cross-sectional study of 230 adults with and without SCA, individuals underwent brain magnetic resonance imaging (MRI) and cognitive assessment.
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