Actively Recruiting
Evaluating a Our Practice Advisory (OPA) to Optimize Hemoglobin A1c (A1c) and Thyroid-Stimulating Hormone (TSH) Test Orders
Led by University of California, Los Angeles · Updated on 2025-05-29
384
Participants Needed
1
Research Sites
38 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Our Practice Advisory (OPA) are essential tools in clinical decision-making. The alerts are designed to guide providers towards evidence-based practices and improve patient outcomes. The focus of this initiative is on Hemoglobin A1c (A1c) and Thyroid-Stimulating Hormone (TSH) testing, with the goal of addressing unnecessary repeat testing within a 30-day timeframe, which rarely yields significant new insights. Although randomization occurs at the patient level, the primary outcome of this study focuses on provider behavior and decision-making. By focusing on this specific intervention, the study aims to optimize resource use, align test ordering with evidence-based guidelines, and support improved patient outcomes. The results of this evaluation will help refine OPAs and guide broader strategies for implementing clinical decision support tools across healthcare systems.
CONDITIONS
Official Title
Evaluating a Our Practice Advisory (OPA) to Optimize Hemoglobin A1c (A1c) and Thyroid-Stimulating Hormone (TSH) Test Orders
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 18 years or older
- Inpatient or observation stays within UCLA Health System hospitals
- Hemoglobin A1c (A1c) and Thyroid-Stimulating Hormone (TSH) ordered, AND this lab was ordered and resulted within the prior 30 days
You will not qualify if you...
- Have an A1c or TSH ordered and do not have a result for one of these labs in the prior 30 days
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
UCLA Health System
Los Angeles, California, United States, 90024
Actively Recruiting
Research Team
K
Katelyn Clinical Research Coordinator
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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