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Machine learning can be used to comb through online reviews of substance use treatment facilities to home in on qualities that are important to patients but remain hard to capture via formal means, such as surveys, researchers from the Perelman School of Medicine at the University of Pennsylvania show. The researchers found that professionalism and staff dedication to patients were two of the top qualities that could be attributed to either a negative or positive review of the facility. Findings from this study were published today in the
Journal of General Internal Medicine. Searching for - and connecting with - therapy can be very difficult and confusing. Many individuals start their search online, where they are likely to see an online review accompanying other information about a treatment facility, said the study s lead author, Anish Agarwal, MD, a clinical innovation manager in the Penn Medicine Center for Digital Health and an assistant professor of Emergency M
2 weeks ago
Asian American data more likely to be missing or misclassified
In April 2020, Islam and her community health worker team conducted a COVID-19 needs assessment of New York City’s South Asian communities. Of the 200 people they reached and surveyed, she said, close to 40% knew a close friend or family member who had died from the virus.
Stella Yi, an assistant professor at NYU’s Grossman School of Medicine, said New York City’s Health Department released race-specific data on April 8, 2020. But it just wasn’t adding up with the community-level reports from throughout the city, she said.
Stella S. Yi is a professor at NYU’s School of Medicine in the Department of Population Health. (Courtesy of Stella Yi)
Black people are dying at alarming rates; What s being done to address racial inequities in health care? fox43.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from fox43.com Daily Mail and Mail on Sunday newspapers.
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Heather Burris remembers growing up in a small, predominantly Black suburb on the north end of Hartford, Connecticut. Burris would go on to pursue a career in medicine, but she said her early experiences as a white girl in her hometown had an immense impact on her life’s trajectory.
“Within my small micro-community, I was a minority and was able to see the world in more of a racialized lens,” said Dr. Burris. “And so when I came into medicine [and] I would see the sort of over-representation of Black infants in the neonatal intensive care unit, I started asking questions why.”
Minorities and Chronic Disease: Obstacles to Care
By Rachel Reiff Ellis
Editor s Note: This article is part of a series in partnership with the
All of Us Research Program, which collects and studies health data to help scientists identify health trends. More than 80% of participants are from groups that have been historically underrepresented in research.
Chronic diseases such as cancer, diabetes, asthma, and heart disease are among the top health problems in the U.S., but all Americans don t share this burden equally. Minorities, including Black, Hispanic, and Native American people, are up to two times more likely than white people to have major long-term conditions.