Texts from your doctor could help prevent diabetes
NCT ID NCT04773834
First seen Nov 01, 2025 · Last updated Jun 23, 2026 · Updated 36 times
Summary
This study tested whether automated messages from doctors could keep people with prediabetes engaged in a digital diabetes prevention program. Over 550 participants used the Noom app along with a fitness tracker and scale, and some received tailored text or MyChart messages based on their activity. The goal was to see if these nudges could help people lose weight, lower blood sugar, and prevent type 2 diabetes.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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NYU Langone Health
New York, New York, 10016, United States
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
automated text and MyChart messages tailored to patient engagement levels
What this could lead to
If it works, this could offer a low-cost way to help people with prediabetes stay engaged in prevention programs and lower their risk of developing diabetes.
What could go wrong
This is a completed study with 551 participants, but the intervention is just messaging—it may not be enough to cause lasting behavior change or improve health outcomes.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.