Carelon Research researchers develop pregnancy algorithm critical for maternal and infant health outcomes researchSummary Publications Jamal-Allial A, He X, Avula R, Dinh J, Lanes S. Developing Methodology to Estimate Gestational Age Using Administrative Claims. Pharmacoepidem Dr S, 2020. 29(S3): p. 684. (abstract #4957) Jamal-Allial A, Dinh J, Vojjala S, Lanes S. Implementation of ICD‐10‐CM Z3A% codes in real‐world evidence studies of pregnancy outcomes. Pharmacoepidem Dr S, 2019. 28(S2): p. 356. (abstract #741) Carelon Research project team: Aziza Jamal-Allial, Ramya Avula, Kerrin Gallagher This study was conducted by Carelon Research (formerly HealthCore, Inc.), a subsidiary of Elevance Health. Dissemination and sharing of the Newsletter is limited to Elevance Health and its subsidiaries and included findings and implications are for Elevance Health and its affiliates’ internal use only.
This algorithm will assist Carelon Research and Elevance Health in assessing drug safety during pregnancy, developing best practices and protocols, and improving services and costs through refined policies.
Enterprise Analytics Hub domain(s): maternity
Background
Elevance Health insures one in ten babies born in the U.S. However, there is no unified approach for identifying pregnant members and their babies in studying maternal and infant health outcomes using administrative claims data. This presented the need for an in-house algorithm that utilizes the newly released ICD-10 codes to efficiently identify pregnancies, estimate gestational age, and determine the start of the pregnancy for population management and research.
Methods
We reviewed the literature, health plan guidelines, and currently used coding system, consulted with medical experts, and created a ranking system based on code specificity of reporting end of pregnancy (EOP) events. A different criterion for birth events (equal to or greater than 20 weeks) vs. early pregnancy loss (less than 20 weeks) was developed. A similar method for gestational age estimation and the start of pregnancy determination was followed to create a hierarchical approach that favors specific codes based on each code specificity or trimesters. In addition, this algorithm can capture multiple pregnancies in the same woman.
Results
After much testing, Carelon Research adopted this algorithm as a standard process in all maternity research. Other Elevance Health researchers and decision makers may leverage the algorithm.

Key takeaways
This presents several opportunities for Elevance Health:
For more information on a specific study or to connect with the Actionable Insights Committee, contact us at [email protected].
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