Plain-English translation of NCT06654713 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Type 1 Diabetes research guide →This study looks at how automated insulin delivery systems—devices that automatically adjust insulin dosing—work during pregnancy for people with type 1 diabetes. Researchers want to compare two types of systems: commercially available devices and open-source systems (sometimes called DIY or hacked systems) to see if pregnancy outcomes, blood sugar control, and emotional health differ between them.
Pregnant people with type 1 diabetes face unique challenges in managing their blood sugar, and automated insulin delivery systems are increasingly being used to help. However, there is limited research on how well these systems work during pregnancy and whether different types of systems produce different results.
You likely qualify if…
You likely don't qualify if…
You would securely share your automated insulin delivery system data with the research team remotely throughout your pregnancy. You'll also complete online surveys about your emotional health and behavioral experiences, and give permission for researchers to access your medical records. The study is observational, meaning researchers are watching and collecting information rather than assigning you to a new treatment—you continue using whichever system you're already using.
AI-generated summary from trial data · Jul 1, 2026 · Not medical advice
United States
University of California, San Francisco
Enrollment target
~1,000 participants
Started
March 2025
Primary completion
December 2029
Age range
18 Years and older
Sex
Female only
Last updated on clinicaltrials.gov in July 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Primary Investigator
University of California, San Francisco
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.