Identification of Maintenance Dialysis Recipients in Administrative Health Data: A Systematic Review.
Aislyn Shaw, Faisal Jarrar, Robert R Quinn et al.
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In 30 seconds
This systematic review evaluated the accuracy of administrative health data in identifying maintenance dialysis recipients, analyzing studies from high-income countries. The review included nine studies, revealing a median positive predictive value of 85.9% and median sensitivity of 75.8%. The performance of case definitions varied significantly, indicating the need for context-specific adaptations.
Key findings
- Median positive predictive value for case definitions was 85.9% (74.4%-92.9%).
- Median sensitivity across definitions was 75.8% (63.5%-83.8%).
- Median F1 score for case definitions was 79.5% (70.2%-81.9%).
- One study showed high accuracy in documenting dialysis modalities in claims versus medical records.
Why it matters
Accurate identification of maintenance dialysis recipients in administrative data is crucial for effective healthcare planning and resource allocation. Understanding the performance of various case definitions can enhance the reliability of data used in nephrology research and policy-making.
What to keep in mind
Findings were based on studies from high-income countries; lack of studies using contemporary data.