In efforts to combat health disparities, experts emphasize the need for a data modernization approach that includes comprehensive collection and analysis of health-related information across diverse populations. A recent analysis highlights the persistent underrepresentation of racial and ethnic data in U.S. clinical trials, with only 43% of participants’ race recorded over two decades. This lack of detailed data hampers the ability to address health inequities effectively.
The call for improved data systems is not just about technology but also about investing in people. Training and incentivizing healthcare professionals to accurately collect information on race, ethnicity, sexual orientation, gender identity, and social determinants of health is crucial. These factors are pivotal in guiding targeted interventions and allocating resources to marginalized communities.
Despite the recognition of its importance, the collection of health equity data remains inconsistent. The gaps in data for race and ethnicity are particularly concerning, as they are critical for understanding and addressing disparities in healthcare outcomes. The analysis suggests that closing these data gaps requires not only technological advancements but also a cultural shift within healthcare organizations and agencies.
By bridging the data divide with a dual focus on people and technology, public health professionals aim to create a more equitable and effective healthcare system. This approach promises deeper insights into the health challenges faced by underrepresented groups, ultimately leading to better health outcomes for all.
See: “Bridging the Data Divide: Investing in People and Tech to Improve Health Equity” by John Auerbach on the MedCity News website (February 13, 2024)