Estimating avoidable acute complications and outcomes in adults with diabetes and end-stage renal disease
Rodolfo J. Galindo, Principal Investigator
The investigators propose to use the most comprehensive database of patients with chronic kidney disease, the United States Renal Data System (USRDS) to estimate the avoidable complications of DM in ESRD patients, and particularly among minorities and different age groups.
The investigators will identify a contemporaneous matched control group using de-identified electronic medical records. Controls will be matched on timing of care, clinic site, age, gender, health status and health care utilization. They will use generalized estimating equations to compare changes in BMI, blood pressure and hemoglobin A1C over time between intervention and controls. Findings will be used to develop an application for diabetes translation research that will utilize a multi-phase optimization strategy trial (MOST) approach to refine the [Grady Fruit and Vegetable Prescription Program] intervention package and test the effectiveness and cost-effectiveness of the refined package on diabetes related health outcomes using a randomized controlled design.
American Sign Language-Accessible Diabetes Education (ASL-ADE)
Salimah LaForce, MS, Principal Investigator
ASL-ADE will conduct an efficacy study, in the Engagement and Behavior Change Core, with the long-term objective of improved health outcomes for individuals who are Deaf and primarily communicate using ASL. The project will demonstrate the need for diabetes educational materials to be accessible to people who are Deaf and rely on ASL for clear and effective communications.
The goal of this project is to conduct a pilot study to determine the feasibility of delivering a mindfulness-based stress reduction (MBSR) plus sleep education intervention to improve sleep and subsequently improve subclinical biomarkers of T2DM risk among a community sample of racially diverse adults (N=20) with poor sleep quality and pre-diabetes.
Characterizing Diabetes Screening Systems for Design, Evaluation and Disparity Identification
Douglas Bodner, PhD, PE Principal Investigator
This project proposes to model gaps in delivery in order to suggest improvements to configure resource allocation so that needed treatments are in fact available across socio-demographic subgroups and the socioeconomic spectrum. It will use agent-based simulation, which facilitates modeling of care system elements and their extensive interactions, all of which affect overall care system performance.
A Field Trial of the Guide to Goals Application - a Care Coordination Tool to Translate ADA Clinical Standards of Care for Children with T2D into Practice
Jiten Chhabra, MBBS, MS, Principal Investigator
The ultimate goal of this project is to systematically evaluate a novel care coordination tool for children with Type 2 Diabetes (T2D) in an office setting at Emory/Children’s Healthcare of Atlanta. The Guide to Goals (GTG) application was designed and developed at Georgia Institute of Technology with the aim of providing evidence-based information in a timely manner to all the stakeholders involved in the care of a diabetes patient during an office visit.
Culturally Tailored - Cognitive Behavioral Intervention (CT-CB) for African American patients with Type-2 Diabetes A Pilot Study
Ambar Kulshreshtha, MD, PhD, FAHA, Principal Investigator
There is scarce data regarding the effectiveness of adapted and tailored cognitive-behavior change interventions and delivery in innovative low-cost formats for vulnerable population subgroups. The aim of this study is to test the feasibility and acceptability of a Culturally-Tailored, Cognitive Behavioral intervention (CT-CB) program (in group-based and phone-based formats), compared with usual care, and to determine if the intervention can improve diabetes self-management among African American patients. The study will also seek to determine whether a particular subset of patients is more likely to experience improvements.
Feasibility of a Soccer-based Adaptation of the Diabetes Prevention Program
Jennifer Frediani, PhD, RD, Principal Investigator
Hispanic males are difficult to engage in traditional lifestyle or non-communicable chronic disease (NCDs) prevention interventions, yet, they have high rates of obesity and are at high risk for NCDs, particularly T2DM. The goal of this study is to utilize the local Hispanic community’s interest in soccer as a vehicle to deliver an adapted Diabetes Prevention Program (DPP) among male, overweight, Latino adults at high T2DM risk. Physical activity volume, sleep and sedentary time will be tracked objectively with wearable devices linked to an innovative research smartphone app that provides data to the researchers and tailored in-app notifications and surveys to the participant.
Intersection of Chronic Diseases: Understanding the Care Continuum for Patients Co-affected by HIV and Diabetes
Jonathan Colasanti, MD, Principal Investigator
Diabetes among HIV-positive individuals is emerging as a major comorbidity, fueling cardiovascular and renal disease ultimately resulting in increased morbidity and mortality in this population. To identify gaps in diabetes care, this study aims to explore the diabetes care continuum among people living with HIV. In addition, this study can inform pragmatic interventions to improve regular clinical practice and reduce morbidity in people living with HIV and diabetes.
Adoption of New Lifestyles among Refugee Families: Health Implications of Integration
Solveig Cunningham, PhD, Principal Investigator
This project will inform programs to prevent obesity and diabetes among newly arrived people in the U.S. It will also provide scientifically and programmatically important information on how health and health behaviors change when people experience a change in their social and economic environments.
A Sleep Intervention (SLEEP-Extend) for Young Adults At-Risk for Type 2 Diabetes
Ashley Coombe, PhD, RN, CNE, Principal Investigator
The risk for developing diabetes in persons with difficulty in maintaining sleep is 1.84 times the risk of diabetes in those who do not have sleep issues which is very similar to the relative risk detected from another commonly recognized risk factor-- family history of diabetes (1.7-2.3) (Reutrakul & Van Cauter, 2014). This study will examine whether an intervention to extend sleep will result in behavior change to increase sleep duration and improve insulin resistance, providing evidence of the impacts in intervening with sleep duration to improve metabolic function.