Epic-Based Clinician Notification
OtherEpic in-basket clinician notification identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing EHR data.
NCT Number: NCT07605390
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 opening soon.
Get Notified18 year and older
All sexes
Interventional
Not applicable
Baylor Scott and White Health, Dallas, Texas, United States
This study is a pragmatic, randomized, EHR-embedded implementation trial designed to evaluate whether an Epic-based clinician notification improves initiation of guideline-directed CKM therapies in adults with type 2 diabetes and confirmed albuminuria.
Despite contemporary guideline recommendations, substantial gaps remain in urine albumin-to-creatinine ratio (UACR) screening, confirmatory testing, and initiation of evidence-based CKM therapies, including renin-angiotensin system inhibitors (RASi), sodium-glucose cotransporter-2 inhibitors (SGLT2i), non-steroidal mineralocorticoid receptor antagonists (ns-MRA), and glucagon-like peptide-1 receptor agonists (GLP-1RA). Health-system workflows frequently fail to translate identification of albuminuria-associated CKM risk into timely initiation of disease-modifying therapy.
Eligible participants will be randomized in a 1:1 ratio to either usual care or an Epic-based clinician notification strategy.
In the intervention arm, the treating clinician will receive an Epic in-basket message identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing EHR data. All treatment decisions will remain at the discretion of the treating clinician.
The primary endpoint is initiation of one or more eligible guideline-directed CKM therapies within 3 months of randomization.
This study will provide important implementation data regarding whether low-burden EHR-based clinician notifications can improve evidence-based CKM care in real-world clinical practice settings.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Epic in-basket clinician notification identifying confirmed albuminuria and potential eligibility for guideline-directed CKM therapies using existing EHR data.
Standard clinical care without Epic clinician notification.
Time frame: 3 months
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.
Time frame: 3 months
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.
Time frame: 3 months
Time from randomization to initiation of one or more eligible guideline-directed CKM therapies, assessed using electronic health record (EHR) prescribing data.
Time frame: 30 days
Proportion of participants requiring repeat Epic clinician notification due to absence of documented therapy initiation or clinician response within 30 days of the initial notification, as assessed using electronic health record (EHR) data.
Time frame: 3 months
Proportion of eligible clinicians who received Epic-based CKM notifications, as assessed using electronic health record (EHR) notification metadata.
Time frame: 30 days
Proportion of Epic clinician notifications associated with documented clinician acknowledgment, therapy initiation, or therapy deferral, as assessed using electronic health record (EHR) data.
Contact information is provided by the study sponsor or research team.
Baylor Research Institute
Other
RAPID-CKM: RAndomized EHR-based Prescribing to Improve Disease-modifying Therapies for Cardio-Kidney-Metabolic Care.
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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