Assessing Disease Activity in Juvenile Idiopathic Arthritis Using Electronic Medical Records
Author Information
Author(s): Miller Michael L, Ruprecht Jason, Wang Deli, Zhou Ying, Lales George, McKenna Sean, Klein-Gitelman Marisa
Primary Institution: Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
Hypothesis
How does physician global assessment correlate with pain and joint count for JIA patients with different subtypes?
Conclusion
Data extraction from the EMR is feasible and useful to evaluate JIA patients for indicators of treatment responsiveness.
Supporting Evidence
- Strong correlations were found between physician global assessment and pain scores in systemic JIA patients.
- Physician assessment for persistent oligoarticular patients showed strong correlation with joint counts.
- Data extraction from EMRs allows for efficient analysis of treatment outcomes in JIA patients.
Takeaway
Doctors can use electronic records to better understand how different types of arthritis affect kids, helping them treat them more effectively.
Methodology
Data were extracted from electronic medical records during clinic visits and analyzed for correlations between physician and patient assessments.
Potential Biases
Potential bias due to incomplete assessments and reliance on self-reported data from patients.
Limitations
The study had a small sample size for some subtypes and may not fully represent the diversity of JIA patients.
Participant Demographics
Participants included 160 patients with various JIA subtypes, with a notable lack of African American and Asian patients.
Digital Object Identifier (DOI)
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