RecruitingNANCT06995378

Evaluation of Patient and Provider Facing EHR-embedded Risk Stratification Tools

Sponsor: University of California, Los Angeles

Trial Details

Condition	Prediabetes, Health Communication, Patient Comprehension
Intervention	Hemoglobin A1c Lab Result Communication Tool
Phase	NA
Status	Recruiting
Participants	1,200
Est. Completion	1 Oct 2026
Last Updated	9 July 2026

Primary Outcome

Prediabetes- Related Healthcare Utilization

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Age 65 years or older * Most recent hemoglobin A1c in the prediabetes range (5.7-6.0%) 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.

Trial Sites

Countries

United States

View Registry Entry

Related Analysis

Novel EHR-Embedded Risk Communication Tool for Prediabetes — UCLA Trial Tests Machine Learning Approach to Patient Understanding

UCLA researchers are testing whether machine learning-enhanced laboratory result communication can improve patient understanding and reduce unnecessary healthcare use in older adults with prediabetes. The 1,200-participant trial examines EHR-embedded risk stratification tools.

Read full article →

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