RAndomized EHR-based Prescribing to Improve Disease-modifying Therapies for Cardio-Kidney-Metabolic Care (RAPID-CKM)
RAPID-CKM: RAndomized EHR-based Prescribing to Improve Disease-modifying Therapies for Cardio-Kidney-Metabolic Care.
1 other identifier
interventional
600
1 country
2
Brief Summary
The goal of this pragmatic randomized clinical trial is to determine whether an Epic-based clinician notification increases initiation of guideline-directed cardio-kidney-metabolic (CKM) therapies in adults with type 2 diabetes and confirmed albuminuria. The main question it aims to answer is: • Does an Epic clinician notification improve initiation of guideline-directed CKM therapies compared with usual care? Researchers will compare an Epic in-basket clinician notification strategy with usual care. In the intervention arm, the treating clinician will receive an Epic notification identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing electronic health record (EHR) data. Participants in the usual care arm will receive standard clinical care without notification.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2026
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
May 19, 2026
CompletedFirst Posted
Study publicly available on registry
May 26, 2026
CompletedStudy Start
First participant enrolled
August 1, 2026
ExpectedPrimary Completion
Last participant's last visit for primary outcome
January 1, 2028
Study Completion
Last participant's last visit for all outcomes
January 1, 2028
May 26, 2026
May 1, 2026
1.4 years
May 19, 2026
May 19, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Initiation of Guideline-Directed Cardio-Kidney Metabolic Therapy
Proportion of eligible participants newly prescribed one or more guideline-directed cardio-kidney-metabolic (CKM) therapies, including renin-angiotensin system inhibitors (RASi), sodium-glucose cotransporter-2 inhibitors (SGLT2i), non-steroidal mineralocorticoid receptor antagonists (ns-MRA), or glucagon-like peptide-1 receptor agonists (GLP-1RA) as assessed using electronic health record (EHR) data.
3 months
Therapy-Specific Initiation Rate
Proportion of participants eligible for a specific CKM therapy who were newly prescribed each individual guideline-directed CKM therapy class (RASi, SGLT2i, ns-MRA, or GLP-1RA), as assessed using electronic health record (EHR) data.
3 months
Secondary Outcomes (4)
Time to Guideline-Directed Therapy Initiation
3 months
Repeat Epic Notification Frequency
30 days
Clinician Reach
3 months
Clinician Response to Epic Notification
30 days
Study Arms (2)
Epic Clinician Notification
EXPERIMENTALTreating clinicians receive an Epic in-basket notification identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing EHR data. All treatment decisions remain at the discretion of the treating clinician.
Usual Care
ACTIVE COMPARATORParticipants receive standard clinical care without Epic clinician notification. Treatment decisions, including initiation of guideline-directed CKM therapies, remain at the discretion of the treating clinician.
Interventions
Epic in-basket clinician notification identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing EHR data.
Eligibility Criteria
You may qualify if:
- Adults aged ≥18 years
- Diagnosis of type 2 diabetes mellitus
- Receiving outpatient care within Baylor Scott \& White Health
- At least 1 outpatient encounter within the preceding 12 months
- Confirmed albuminuria (UACR \>30 mg/g)
- Eligible for one or more guideline-directed CKM therapies based on - prespecified clinical criteria and EHR review
You may not qualify if:
- Type 1 diabetes mellitus
- Contraindication or documented intolerance to all eligible guideline-directed CKM therapies
- Advanced kidney dysfunction below recommended initiation thresholds for SGLT2i or finerenone
- Hyperkalemia or elevated baseline serum potassium precluding safe therapy initiation
- Contraindicated drug interactions (e.g., strong CYP3A inhibitors with finerenone)
- Other guideline- or labeling-based contraindications to therapy initiation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
Baylor Scott and White Health
Dallas, Texas, 75246, United States
Baylor Scott and White, Advanced Heart Care
Plano, Texas, 75093, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Shahzeb Khan, MD
Baylor Scott and White Health
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 19, 2026
First Posted
May 26, 2026
Study Start (Estimated)
August 1, 2026
Primary Completion (Estimated)
January 1, 2028
Study Completion (Estimated)
January 1, 2028
Last Updated
May 26, 2026
Record last verified: 2026-05
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- Data will become available following publication of the primary study results and will remain available for at least 5 years after publication.
- Access Criteria
- Access will be provided to qualified researchers upon reasonable request following review and approval by the study investigators and Baylor Scott \& White Research Institute. Shared data will be deidentified and made available in accordance with institutional policies, applicable regulations, and data use agreements.
Deidentified individual participant data (IPD) underlying the reported study results will be shared, including demographic, clinical, laboratory, prescribing, and implementation-related variables collected through the electronic health record (EHR). A data dictionary and analytic code may also be shared to support interpretation and reproducibility.