SMART Pilot Trial of Glycemic Screening Outreach

Brief summary (registry, in English)

Approximately 130 million Americans have prediabetes or type 2 diabetes (T2D) but remain unscreened and/or unaware of their diagnosis. While prediabetes/T2D screening, also known as glycemic screening, is endorsed in national guidelines, there is almost no research on how to increase screening rates, or evaluations of interventions testing the effectiveness of screening promotion strategies. The American Medical Association has published prediabetes quality measures that apply to UCLA Health as well as all other health systems, specifically tracking the percentage of adult patients with risk factors for T2D due for glycemic screening for whom the screening process was initiated. However, there is no current systemic effort underway at UCLA, or most other health systems, to encourage glycemic screening. We are proposing a pilot trial of the first SMART (Sequential Multiple Assignment Randomized Trial) for glycemic screening. Our SMART experiment will provide preliminary feasibility and acceptability data for a larger, multisite trial that will provide vital guidance to optimize screening approaches for a growing number of screening-eligible patients so that they may seek earlier detection, treatment, and/or access to lifestyle programs and interventions for T2D or prediabetes.

What you commit to

• Study type: Interventional
• Participants enrolled: 102
• From 8 Jul 2025 to the primary completion date, 8 Oct 2025
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 35 years to 70 years · Sex: All · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.