Researchers at the University of Illinois at Chicago have been awarded approximately $ 3.3 million by the National Institute of Aging to study distance medical behavioral interventions for adults over the age of 50 with risk factors for overweight and cardiovascular metabolism. rice field.
Research researchers at UIC, the University of Washington, and the University of Pittsburgh want to enroll more than 1,000 patients in multisite clinical trials. The study provides behavioral intervention through the interactive patient portal of the electronic health record system, which is primarily used in college health systems. ..
“This is one of the largest clinical trials testing behavioral weight loss interventions that are fully remote and integrated into electronic medical records and is very important in actual healthcare delivery,” said Dr. Jun Ma of UIC. increase. Principal Investigator of Multi-Site Research.
This study uses an adaptive treatment model in which participants are randomized to receive one of two behavioral interventions. One is a basic intervention using an evidence-based weight loss video program consisting of 12 videos, each 20-25 minutes long. Other interventions reinforce the video program with problem-solving therapies provided through video conferences by trained health coaches.
In the study’s adaptive treatment model, participants randomized to the basic intervention start the video program immediately or after a 12-week waiting period. Participants randomized to extended interventions will only receive problem-solving coaching at the start of the video program or if at least 3% of weight loss is not achieved after using the video program for 6 weeks. ..
“This innovative adaptive treatment design helps us understand which patients need which intervention when,” said Beth and George Vitu, professor of medicine, Vitu on Aging and Prevention at UIC Medical College. Ma, the director of the program, said.
“This design informs the delivery of clinical care,” says Ma. “This study enhances this treatment rather than assuming that patients who are already receiving evidence-based weight loss video programs will benefit from the addition of problem-solving therapies provided by their health coaches. Provides data on when to do this. More costly and time-consuming interventions are always needed for everyone. The design of this study is more than comparing one intervention to another. This will help you better understand how to adjust treatment based on the patient’s early weight loss. In addition, apply machine learning techniques and predictive analysis to predict the outcome of behavioral interventions. To study. “
To enroll participants, researchers check electronic health records for eligibility criteria such as height and weight, and diagnose diabetes, high blood pressure, high cholesterol, and more. Once agreed and randomized into the study, participants will receive a weight loss video program through the patient portal of electronic health records. Those assigned to also receive problem-solving therapy make appointments with a health coach via video conference for telemedicine.
Participant’s physical activity and weight will be tracked on the wearable device and wireless scale provided by the survey, and participants will also be provided with a tablet to ensure access to the patient portal and telemedicine coaching.
“Ultimately, we want to identify effective integrated behavioral interventions that help people reduce their risk of cardiometabolic disorders,” says Ma.
Along with Ma, Dr. Rachel Casky, Associate Professor of Medicine and Pediatrics at UIC and Head of Internal Medicine and Geriatrics, and Associate Professor of Internal Medicine and Interim Chief Health Officer of UI Health, UIC’s health system. It will be led by Dr. Jonathan Radsta. UIC site for clinical trials. Elizabeth Benditti, an associate professor of psychiatry and epidemiology, will lead the study at the University of Pittsburgh, and Thomas Cannamparil, an associate professor of anesthesia, will lead the study at the University of Washington.
This study is supported by the National Institute on Aging (R01AG076541).
