Patient-centered Precision Medicine Lab Result Communication for Older Adults - Validation and Refinement of an Existing Chronic Kidney Disease (CKD) Risk Model
University of California, Los Angeles
Summary
This study aims to improve how lab results are communicated to older adults by refining a predictive model that uses electronic health record (EHR) data. The model was originally developed to estimate the risk of chronic kidney disease (CKD) progression. Researchers will use existing health data to test and improve the accuracy of the model and explore how it might be adapted for use in other health conditions. The study does not involve direct interaction with patients and is conducted entirely using de-identified data in a secure environment.
Eligibility
- Age range
- 65+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria include, but are not limited to: * being over the age of 65; having at least 5 years of clinical follow up; and having a serum creatinine lab test conducted Exclusion Criteria: * Patients younger than 65 years old * Patients with less than 5 years of clinical follow-up * Patients from health systems outside of the UC Health network.
Interventions
- OtherRisk Prediction Model
This study analyzes retrospective electronic health record (EHR) data from older adults to refine and validate a predictive model for other conditions in future studies.
Location
- UCLA Health SystemLos Angeles, California