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Validation of an ICD-10-based Algorithm to Identify Stillbirth in the Sentinel System

    Basic Details

    The purpose of this analysis was to develop and validate an International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM)-based algorithm to identify cases of stillbirth using electronic healthcare data.

    We conducted a retrospective study using claims data from three Data Partners (healthcare systems and insurers) in the Sentinel Distributed Database. Algorithms were developed using ICD-10-CM diagnosis codes to identify potential stillbirths among females aged 12-55 years between July 2016 and June 2018. A random sample of medical charts (N = 169) was identified for chart abstraction and adjudication. Two physician adjudicators reviewed potential cases to determine whether a stillbirth event was definite/probable, the date of the event, and the gestational age at delivery. Positive predictive values (PPVs) were calculated for the algorithms. Among confirmed cases, agreement between the claims data and medical charts was determined for the outcome date and gestational age at stillbirth.


    Susan E. Andrade, Mayura Shinde, Tiffany A. Moore Simas, Steven T. Bird, Justin Bohn, Kevin Haynes, Lockwood G. Taylor, Julianne R. Lauring, Erin Longley, Cheryl N. McMahill-Walraven, Connie M. Trinacty, Cassandra Saphirak, Christopher Delude, Sandra DeLuccia, Tancy Zhang, David V. Cole, Nina DiNunzio, Autumn Gertz, Elnara Fazio-Eynullayeva, Danijela Stojanovic

    Corresponding Author

    Susan E. Andrade, The Meyers Primary Care Institute, a joint endeavor of the University of Massachusetts Medical School, Reliant Medical Group, and Fallon Health, Worcester, Massachusetts, USA.