SPARK-CGM Implementation for Diabetes Mellitus
This study, called SPARK-CGM, aims to make continuous glucose monitoring (CGM) more available to people with diabetes who receive care at Montefiore primary care clinics. CGM is a technology that helps you track your blood sugar levels in real-time, which can lead to better blood sugar control and quality of life. Even though CGM is very helpful, it's not widely used in primary care. This study will test a new approach to help clinics prescribe CGM more often and easily. The study will look at how quickly primary care providers start prescribing CGM after the SPARK-CGM program is put into place. You may be eligible if you are an adult patient at a Montefiore primary care site.
- Study design
- This interventional study plans to enroll 20,000 participants. It compares a streamlined CGM prescribing workflow to standard care.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary outcome, time to first CGM prescription, is measured for up to 18 months after the intervention begins.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
SPARK-CGM Implementation
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Jovan Milosavljevic, MD · PRINCIPAL_INVESTIGATOR · Montefiore Medical Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Time to first CGM prescription by primary care providerUp to 18 months following initiation of intervention
Time to first CGM prescription initiated by a primary care provider (PCP) will be defined as the date from a patient's first eligible primary care encounter during the study period to the date of the first CGM prescription, up to 18 months following intervention initiation, as recorded in the electronic health record. All CGM orders are captured in the EHR. Results will be summarized by study arm using descriptive statistics and analyzed using Cox proportional hazards models.