A Patient-Centered PaTH to Addressing Diabetes
Last updated on July 2021Recruitment
- Recruitment Status
- Active, not recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- COVID-19
- Diabetes
- Obesity
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Other
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Aim 1: Evaluate the impact of universal preventive service coverage for obesity screening and counseling on weight loss, diabetes incidence, and diabetes outcomes, in patients with diabetes or at high risk for diabetes (defined by body mass index (BMI) ? 25). The investigators will determine how the...
Aim 1: Evaluate the impact of universal preventive service coverage for obesity screening and counseling on weight loss, diabetes incidence, and diabetes outcomes, in patients with diabetes or at high risk for diabetes (defined by body mass index (BMI) ? 25). The investigators will determine how the annual probability of receiving obesity and/or nutritional counseling (as defined by Current Procedural Terminology (CPT) code) changed pre- and post-policy across all insurers in a cohort of patients with diabetes and at high risk for diabetes. The investigators hypothesize that individual patients are more likely to receive counseling following coverage implementation. Further, the investigators hypothesize that patients who receive a greater number of face-to-face visits will have greater weight loss compared to those who receive fewer visits. Aim 2: Compare patient weight loss and diabetes-related outcomes among those who receive obesity screening and counseling to those who do not, following implementation of preventive service coverage. The investigators will examine post-policy impact of obesity screening and counseling in a cohort of patients with diabetes and at high risk for diabetes. Specific outcomes to be examined include weight loss, diabetes incidence, and diabetes outcomes (including hemoglobin A1c, controlled blood pressure, use of a statin medication). Further, the investigators will determine patient characteristics, including demographics (age, race/ethnicity, rurality), and practice characteristics, including provider type, and their impact on receiving/providing obesity screening and counseling. Understanding patient and practice characteristics most likely to engage in obesity counseling can identify best practices and inform how to increase engagement by both patients and providers. Aim 3: To understand the impact of telemedicine access (telephonic and/or virtual visits) compared to no telemedicine visits for outpatient care for patients with, or at risk of, type 2 diabetes during the pandemic on patient-centered outcomes including hemoglobin A1c and healthcare utilization, with sub-group analysis of patients with COVID-19; Aim 4: To evaluate the risk of severe COVID-19 disease (defined by hospitalization and mortality) in patients with diabetes and/or elevated BMI, with a focus on identifying modifiable factors (i.e., medication use, treatment timeline/location, chronic comorbid conditions) and associated with improved outcomes to inform immediate intervention and future study.
Tracking Information
- NCT #
- NCT02788903
- Collaborators
- Patient-Centered Outcomes Research Institute
- Investigators
- Principal Investigator: Jennifer L Kraschnewski, MD, MPH Penn State College of Medicine, Penn State Milton S. Hershey Medical Center