CI

At a glance

ClinicalIndex Comparison Record
N/ACompleted· 21,664 enrolled
Drug / intervention
Clinical Decision Supportother
Likely dose
Not stated in record
Structured eligibility isn't available for this trial yet — see the full criteria in the Eligibility tab below.

Standardized by ClinicalIndex from the ClinicalTrials.gov record · verify against the source.

Search/NCT02759055
NCT02759055N/ACompleted

Improving Prediabetes Cardiovascular Care With EHR-Based Decision Support

HealthPartners Institute·interventional·Posted May 3, 2016·Updated Mar 16, 2021

In Brief

A clinical study evaluating Clinical Decision Support for Pre-diabetes. Completed, enrolled 21,664 participants across 1 site.

Detailed Summary

Nearly one in three adults has prediabetes, a condition that substantially increases the risk of heart attacks and stroke. The increased cardiovascular risk associated with prediabetes can be effectively managed by lifestyle changes or medication therapy, but recent data shows few prediabetes patients are treated effectively. In this project, we will adapt, implement, and evaluate a proven electronic health record-linked, web-based clinical decision support system to identify patients with prediabetes and provide prioritized treatment recommendations to patients and providers in a rural health system. The results of the project will provide a template for implementation of more efficient and effective rural healthcare and have the potential to substantially and improve cardiovascular quality of care and clinical outcomes of millions of rural Americans with prediabetes.

Study Details

Study Typeinterventional
Allocation--
Masking--
Primary Purpose--
ConditionsPre-diabetes
CountriesUnited States
CollaboratorsEssentia Health

Timeline

N/ACompletedFinished
2017201820192020202120222023202420252026
First PostedMay 3, 2016
Enrollment StartOct 1, 2016
Primary CompletionDec 31, 2019
TodayJul 2, 2026
Enrollment to primary: 3.3 yearsPosted 10.2 years ago

Interventions

Clinical Decision Supportother

an EHR-linked, Web-based clinical decision support (CDS) system that identifies patients with prediabetes and provides patients and their primary care providers personalized, evidence-based CDS and follow up to reduce risk of heart attacks or stroke