The proposed research, "Dulce Digital 2.0," will evaluate two mHealth adaptions of Project Dulce that are designed to improve digital health literacy, increase underserved individuals' capacity to access and engage with vital digital health information, and in turn, improve clinical and behavioral outcomes in at-risk adults with diabetes. Expanding access to care in populations faced with challenges of low socioeconomic status and health literacy is a step toward reducing health disparities and positively affecting care. The literature shows that identifying which groups of participants are most likely to benefit from telehealth interventions is an important factor in improving the evidence base for digital health literacy. Dulce Digital 2.0 is highly scalable once the technical infrastructure is built. More importantly, by helping to reduce existing inequities in access to diabetes care and accurate digital health information the model could help to improve health outcomes on a larger scale. The use of digital technology in the delivery of healthcare interventions is increasingly common. Barriers to engagement in digital technology exist among those in underserved populations due to language, access to equipment and internet, education level, exposure to and comfort with technology, and pre-existing deficits in health literacy. The proposed research will investigate the effectiveness of two digital approaches to improving the self-management and digital health skills of underserved participants with diabetes compared to tradition in-person self-management education: 1) live self-management education, traditional in-person classes; 2) live self-management education using a telehealth distance learning platform; and 3) a series of text-based messages, not requiring a smart phone or internet connection, that encourage healthy self-management behaviors.
Diabetes Type 2
The proposed research, "Dulce Digital 2.0," will evaluate two mHealth adaptions of Project Dulce that are designed to improve digital health literacy, increase underserved individuals' capacity to access and engage with vital digital health information, and in turn, improve clinical and behavioral outcomes in at-risk adults with diabetes. Expanding access to care in populations faced with challenges of low socioeconomic status and health literacy is a step toward reducing health disparities and positively affecting care. The literature shows that identifying which groups of participants are most likely to benefit from telehealth interventions is an important factor in improving the evidence base for digital health literacy. Dulce Digital 2.0 is highly scalable once the technical infrastructure is built. More importantly, by helping to reduce existing inequities in access to diabetes care and accurate digital health information the model could help to improve health outcomes on a larger scale. The use of digital technology in the delivery of healthcare interventions is increasingly common. Barriers to engagement in digital technology exist among those in underserved populations due to language, access to equipment and internet, education level, exposure to and comfort with technology, and pre-existing deficits in health literacy. The proposed research will investigate the effectiveness of two digital approaches to improving the self-management and digital health skills of underserved participants with diabetes compared to tradition in-person self-management education: 1) live self-management education, traditional in-person classes; 2) live self-management education using a telehealth distance learning platform; and 3) a series of text-based messages, not requiring a smart phone or internet connection, that encourage healthy self-management behaviors.
Dulce Digital 2.0 - Innovative Diabetes Self-Management in the Digital Age
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Scripps Chula Vista Diabetes Center, Chula Vista, California, United States, 91910
Scripps Whittier Diabetes Institute, San Diego, California, United States, 92121
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
18 Years to
ALL
No
Scripps Whittier Diabetes Institute,
Athena Philis-Tsimikas, MD, PRINCIPAL_INVESTIGATOR, Scripps Health
2024-11-30