Detection of Diabetes Status and Type in Youth Using Electronic Health Records: The SEARCH for Diabetes in Youth Study
- 31 July 2020
- journal article
- research article
- Published by American Diabetes Association in Diabetes Care
- Vol. 43 (10), 2418-2425
- https://doi.org/10.2337/dc20-0063
Abstract
OBJECTIVE Diabetes surveillance often requires manual medical chart reviews to confirm status and type. This project aimed to create an electronic health record (EHR)-based procedure for improving surveillance efficiency through automation of case identification. RESEARCH DESIGN AND METHODS Youth (0.95), specificity (Sp) (>0.96), and positive predictive value (PPV) (>0.97). In contrast, the PPVs for type 2 diabetes were 0.642 and 0.778 for the rule-based algorithm and the multinomial regression, respectively. Combination of the rule-based method with chart reviews (n = 695, 7.9%) of persons predicted to have non–type 1 diabetes resulted in perfect PPV for the cases reviewed while increasing overall accuracy (0.983). The Se, Sp, and PPV for type 2 diabetes using the combined method were ≥0.91. CONCLUSIONS An ICD-10 algorithm combined with targeted chart reviews accurately identified diabetes status/type and could be an attractive option for diabetes surveillance in youth.Funding Information
- Centers for Disease Control and Prevention (00097, DP-05-069, DP-10-001)
- National Institute of Diabetes and Digestive and Kidney Diseases (1UC4DK108173, 1U18DP006131, U18DP006133, U18DP006134, U18DP006136, U18DP006138, U18DP006139, U18DP006133, U48/CCU919219, U01 DP000246, U18DP002714, U18DP006139, U48/CCU819241-3, U01 DP000247, U18DP000247-06A1, U18DP006134, U48/CCU519239, U01DP000248, 1U18DP002709, U18DP006138, U48/CCU419249, U01 DP000254, U18DP002708, U18DP006136, U58/CCU019235-4, U01 DP000244, U18DP002710-01, U18DP006131, U18 DP006131 S1, U48/CCU919219, U01 DP000250, 200-2010-35171)
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