Validation of an ICD-10-based algorithm to identify stillbirth in the Sentinel System
| Autor: | Danijela Stojanovic, Autumn Gertz, Erin Longley, Nina DiNunzio, Sandra DeLuccia, Tancy Zhang, Julianne Lauring, Mayura Shinde, Christopher Delude, Susan E. Andrade, Cassandra Saphirak, Connie Mah Trinacty, Tiffany A. Moore Simas, Kevin Haynes, Elnara Fazio-Eynullayeva, David V. Cole, Lockwood G. Taylor, Justin Bohn, Steven T. Bird, Cheryl N. McMahill-Walraven |
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| Rok vydání: | 2021 |
| Předmět: |
Databases
Factual Epidemiology Abortion 030226 pharmacology & pharmacy 03 medical and health sciences 0302 clinical medicine Chart Abstraction International Classification of Diseases Pregnancy Medicine Humans Pharmacology (medical) 030212 general & internal medicine Retrospective Studies business.industry ICD-10 Gestational age Infant Retrospective cohort study Pharmacoepidemiology Stillbirth medicine.disease Female Diagnosis code business Algorithm Algorithms |
| Zdroj: | Pharmacoepidemiology and drug safetyREFERENCES. 30(9) |
| ISSN: | 1099-1557 |
| Popis: | Purpose 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. Methods 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. Results Of the 110 potential cases identified, adjudicators determined that 54 were stillbirth events. Criteria for the algorithm with the highest PPV (82.5%; 95% CI, 70.9%-91.0%) included the presence of a diagnosis code indicating gestational age ≥ 20 weeks and occurrence of either >1 stillbirth-related code or no other pregnancy outcome code (i.e., livebirth, spontaneous abortion, induced abortion) recorded on the index date. We found ≥90% agreement within 7 days between the claims data and medical charts for both the outcome date and gestational age at stillbirth. Conclusions Our results suggest that electronic healthcare data may be useful for signal detection of medical product exposures potentially associated with stillbirth. This article is protected by copyright. All rights reserved. |
| Databáze: | OpenAIRE |
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