ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2026
Development and Validation of an Administrative Algorithm to Identify Veterans With Epilepsy.
Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Accurate epilepsy identification in large health care systems has the potential to improve health care delivery and resource allocation. This article summarizes the creation and validation of a 3-tiered algorithm to identify veterans with epilepsy (VWE) receiving care from the Veterans Health Administration (VHA) using administrative data. Methods: A 3-tier algorithm was developed to identify patients with epilepsy utilizing Results: Tier 1 demonstrated a PPV of 85.1% (95% CI, 82.1%-87.8%). Tiers 2 and 3 offered broader identification and had lower PPVs: Tier 2 PPV was 61.9% (95% CI, 53.4%-70.4%) and Tier 3 PPV was 59.8% (95% CI, 52.5%-67.1%). Conclusions: By efficiently segmenting veterans based on reliable administrative data, this 3-tiered algorithm supports enhanced surveillance, targeted health care provision, and optimal resource utilization. Though it is tailored to the VHA, this algorithmic approach holds promise for broader application in health care systems facing similar epidemiologic and administrative challenges.
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