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Volume 44 Number 5 2007
Pages 665 — 674


Abstrct - Identifying veterans with acute strokes with high-specificity ICD-9 algorithm with VA automated records and Medicare claims data: A more complete picture

L. Douglas Ried, PhD;1-3* Randi Cameon, MS;1 Huangang Jia, PhD;1 Kimberly Findley;1 Melanie Sberna
Hinojosa, PhD;1 Xinping Wang, PhD;1 Michael J. Tueth, MD3-4

1Rehabilitation Outcomes Research Center of Excellence, Malcom Randall Department of Veterans Affairs Medical Center (VAMC), Gainesville, FL; 2College of Pharmacy and 3Department of Psychiatry, College of Medicine,
University of Florida, Gainesville, FL; 4Psychiatry Service, Malcom Randall VAMC, Gainesville, FL

Abstract — Medicare claims data are available to Department of Veterans Affairs (VA) researchers to identify veterans with acute stroke. Our study sought to (1) ascertain whether additional acute stroke cases are identified with Medicare data and (2) assess the use of VA and Medicare inpatient automated data for assigning the stroke date. The study population was veterans living in Veterans Integrated Service Network 8 with an acute stroke diagnosis during fiscal year 2001. High-sensitivity and high-specificity algorithms were applied to VA data sets and matched with Medicare files. We confirmed acute stroke cases and index dates using the VA Computerized Patient Record System (CPRS). VA data identified 582 veterans with acute stroke, but Medicare claims data identified 201 more such veterans. CPRS confirmed 94% of the VA and 77% of the Medicare cases. The median difference between CPRS and automated index dates was 11 days for VA and 4 days for Medicare data. Use of both VA and Medicare data provides a more complete sample of veterans with acute stroke.

Key words: acuity, cerebrovascular disease, dual users, high-sensitivity algorithm, high-specificity algorithm, ICD-9 codes, Medicare, rehabilitation, selection criteria, stroke, veterans.


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