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Drug Monitoring Information Improves Regimen Adherence, Researchers Say
Most people want to take medications as prescribed, even if they sometimes need a little help remembering. For them, an automated system that monitors drug taking and provides feedback after the fact may be more useful than one that nags people when it is time to take a pill, researchers at Carnegie Mellon University say.
Most people want to take mediations as prescribed, even if they sometimes need a little help remembering. For them, an automated system that monitors drug taking and provides feedback after the fact may be more useful than one that nags people when it is time to take a pill, researchers at Carnegie Mellon University say.
In a 10-month study of such a system in the homes of older adults with chronic health problems, the researchers found that adherence to a medication regimen improved when people had ready access to a digital display of their medication-taking record. These people were more likely to take the correct medication promptly and at the same time of day than people who didn't receive the ongoing feedback.
What's important is that people feel that they are in control of their medication habits and that they obtain information that enables them to make improvements if necessary, said Anind Dey, associate professor in CMU's Human-Computer Interaction Institute (HCII). He and his co-author, Matthew Lee of Philips Research North America, will present their findings on April 30 at the CHI Conference on Human Factors in Computing Systems in Toronto.
Read the full story here: http://bit.ly/1iwSZ58
Source: Medical Xpress
Laundromats as a New Frontier in Community Health, Medicaid Outreach
May 29th 2025Lindsey Leininger, PhD, and Allister Chang, MPA, highlight the potential of laundromats as accessible, community-based settings to support Medicaid outreach, foster trust, and connect families with essential health and social services.
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Inside the Center's MDD Value Model and Its Use of Dynamic Pricing
May 13th 2025Larragem Raines, MS, of the Center for Innovation & Value Research, discusses the organization's major depressive disorder (MDD) open-source value model, dynamic pricing, and the future role of artificial intelligence in care.
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