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← Trials
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Study EHR Risk Stratification Tools

RecruitingNAAges 65 Years - anyAllUniversity of California, Los Angeles
NCT06995378 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study evaluates whether adding machine learning-based risk information to electronic health record (EHR) lab result messages helps older adults better understand their risk of developing diabetes and influences their emotional responses, quality of life, and healthcare use. Eligible participants are adults aged 65 years and older with a UCLA primary care provider and a hemoglobin A1c level in the range (5.7-6.0%). Participants are identified automatically at the time their lab results are processed and are randomly assigned to receive either standard lab result messages or modified messages that include a "very low risk" label generated by a machine learning model. All participants who are randomized are invited to complete two surveys: one shortly after their lab result is posted in MyChart and a follow-up survey approximately 30 days later. The study also uses de-identified EHR

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📋 Eligibility rules (as published)
Inclusion Criteria: * Age 65 years or older * Hemoglobin A1c in the prediabetes range (5.7- but not including 6.0%) Exclusion Criteria: * Have lab results outside the defined inclusion range * No UCLA primary care provider * Age \<65 years * Eligibility for Surveys: All randomized participants are eligible to receive study surveys. No additional eligibility criteria apply for survey participation. HgbA1c of 6.0 or above is not eligible.
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What it tests

  • Hemoglobin A1c Lab Result Communication Tool
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Where

1 site
UCLA Health System
Los Angeles, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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