Leveraging Health Insurance Claims Data to Complement the Centers for Disease Control and Prevention Surveillance System for Birth Defects

Health care utilization databases can complement existing surveillance systems by generating, confirming, or refuting signals based on ecological trends or clusters. The availability of patient information in claims databases can allow for further investigation of signals to inform birth defect etiology.

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Publication Details

Journal
Birth Defects Research
Published
2025-09-01
DOI
https://doi.org/10.1002/bdr2.2523
Citations
1
Primary Topic
Congenital Anomalies and Fetal Surgery
Type
article
Field-Weighted Citation Impact
2.01
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article

Leveraging Health Insurance Claims Data to Complement the Centers for Disease Control and Prevention Surveillance System for Birth Defects

Kathryn J. Gray, Sonia Hernández–Dı́az, Jeremy Philip Brown, Loreen Straub et al.
1 citations
Birth Defects Research
Congenital Anomalies and Fetal Surgery
2.01
article

Leveraging Health Insurance Claims Data to Complement the Centers for Disease Control and Prevention Surveillance System for Birth Defects

Kathryn J. Gray, Sonia Hernández–Dı́az, Jeremy Philip Brown, Loreen Straub, Krista F. Huybrechts, Brian T. Bateman, Sharon Ng
article en
1 citations

Abstract

Health care utilization databases can complement existing surveillance systems by generating, confirming, or refuting signals based on ecological trends or clusters. The availability of patient information in claims databases can allow for further investigation of signals to inform birth defect etiology.

Birth Defects ResearchVol. 117(9)
Brigham and Women's Hospital (US), Harvard University (US), University of Washington (US), Society for Maternal-Fetal Medicine (US)
Openalex Percentile: Top 12%
Congenital Anomalies and Fetal Surgery
2.01
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Leveraging Health Insurance Claims Data to Complement the Centers for Disease Control and Prevention Surveillance System for Birth Defects — Kathryn J. Gray, Sonia Hernández–Dı́az, et al. · Birth Defects Research (2025) | TGRS Research Map | TGRS