Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT02788903 |
| Other study ID # |
PCORI |
| Secondary ID |
NEN-1509-32304 |
| Status |
Completed |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
March 2016 |
| Est. completion date |
May 2021 |
Study information
| Verified date |
May 2023 |
| Source |
Milton S. Hershey Medical Center |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The overarching goal of this proposal is to understand the comparative effectiveness of
obesity counseling as covered by CMS in improving weight loss for adults either with or at
high risk of type 2 diabetes. CMS and most insurers now include obesity screening and
counseling benefits, with no cost sharing to patients. Since overweight patients are at
highest risk for diabetes, improved weight management services could prevent diabetes and its
negative health outcomes. Beneficiaries with obesity are eligible for up to 20 face-to-face
visits for weight counseling in the primary care setting. The investigators propose comparing
weight and diabetes outcomes in three states using EHR and claims data before and after this
policy was implemented by leveraging the novel infrastructure of the Patient-Centered
Outcomes Research Institute-funded PaTH Clinical Data Research Network. Following
developments during the COVID-19 pandemic, the investigators further plan to leverage our
study infrastructure across five health systems to understand the comparative effectiveness
of telemedicine approaches for providing outpatient care for patients with or at risk of type
2 diabetes and how these approaches impact the subgroup of patients with COVID-19.
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 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.