Use of administrative and electronic health record data for development of automated algorithms for childhood diabetes case ascertainment and type classification: the SEARCH for Diabetes in Youth Study

Background The performance of automated algorithms for childhood diabetes case ascertainment and type classification may differ by demographic characteristics. Objective This study evaluated the potential of administrative and electronic health record (EHR) data from a large academic care delivery s...

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Bibliographic Details
Published in:	Pediatric diabetes Vol. 15; no. 8; pp. 573 - 584
Main Authors:	Zhong, Victor W., Pfaff, Emily R., Beavers, Daniel P., Thomas, Joan, Jaacks, Lindsay M., Bowlby, Deborah A., Carey, Timothy S., Lawrence, Jean M., Dabelea, Dana, Hamman, Richard F., Pihoker, Catherine, Saydah, Sharon H., Mayer-Davis, Elizabeth J.
Format:	Journal Article
Language:	English
Published:	Former Munksgaard John Wiley & Sons A/S 01.12.2014
Subjects:	administrative data Adolescent Adult Algorithms case ascertainment Child Child, Preschool childhood diabetes Diabetes Mellitus, Type 1 - classification Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - epidemiology Diabetes Mellitus, Type 2 - classification Diabetes Mellitus, Type 2 - diagnosis Diabetes Mellitus, Type 2 - epidemiology electronic health record Electronic Health Records - standards Female Humans Infant Infant, Newborn Male Mass Screening - methods type classification Young Adult childhood diabetes type classification administrative data case ascertainment electronic health record
ISSN:	1399-543X, 1399-5448, 1399-5448
Online Access:	Get full text
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