Randomized Controlled Trial of Electronic Clinical Decision Support Systems for Improving Care Management and Clinical Outcomes for Adults With Steatotic Liver Disease
Vanderbilt University Medical Center
Summary
The overall objectives of this study are to determine the effectiveness of a participant-specific guided electronic decision support system on provider decision making for participants with metabolic-dysfunction associated steatotic liver disease (MASLD), and to determine the acceptance and barriers for use of an electronic health record embedded algorithm for MASLD care management within ambulatory primary care, endocrinology, and general gastroenterology settings.
Description
A pragmatic, randomized trial within selected clinical practices for primary care, endocrinology, and non-hepatology gastroenterology sites within Vanderbilt University Medical Center will be conducted over a period of 3 years with 12 months of follow up for each participant. Participants will be randomized 1:1 to intervention or usual care. In the intervention arm, the decision support aid (eMPOWER) will be used to alert consenting providers to participant-specific recommendations for steatotic liver disease care based on clinical features and risk factor profiles. The primary endpoint will b…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Adult patients (age ≥ 18 years) * Outpatient clinic visit (in-person or telemedicine) at a participating clinic site * Demonstrated Screening Need due to High Risk Profile, which includes the following: Diagnostic Codes for MASLD or Hepatic Steatosis on Imaging PLUS at least one cardiometabolic risk factors; OR Chronically Elevated Liver Enzymes (\> 6 months); OR patient with impaired glycemic control (prediabetes/diabetes); OR 2 or more cardiometabolic risk factors present Exclusion Criteria: * Solid Organ Transplant Recipient * Existing Hepatology Relationship Eviden…
Interventions
- OthereMPOWER Decision Aid
An electronic health record embedded decision aid utilizing clinical data from both structured and unstructured clinical data to guide risk stratification and care management for patients with steatotic liver disease. Providers will be alerted to patient specific recommendations during the clinical encounter and between encounters through asynchronous communications related to subsequent testing.
Location
- Vanderbilt University Medical CenterNashville, Tennessee