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Identification of pregnancies and infants within a US commercial healthcare administrative claims database
PURPOSE: Health care insurance claims databases are becoming a more common data source for studies of medication safety during pregnancy. While pregnancies have historically been identified in such databases by pregnancy outcomes, International Classification of Diseases, 10th revision Clinical Modi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546262/ https://www.ncbi.nlm.nih.gov/pubmed/35622900 http://dx.doi.org/10.1002/pds.5483 |
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author | Bertoia, Monica L. Phiri, Kelesitse Clifford, C. Robin Doherty, Michael Zhou, Li Wang, Laura T. Bertoia, Natalie A. Wang, Florence T. Seeger, John D. |
author_facet | Bertoia, Monica L. Phiri, Kelesitse Clifford, C. Robin Doherty, Michael Zhou, Li Wang, Laura T. Bertoia, Natalie A. Wang, Florence T. Seeger, John D. |
author_sort | Bertoia, Monica L. |
collection | PubMed |
description | PURPOSE: Health care insurance claims databases are becoming a more common data source for studies of medication safety during pregnancy. While pregnancies have historically been identified in such databases by pregnancy outcomes, International Classification of Diseases, 10th revision Clinical Modification (ICD‐10‐CM) Z3A codes denoting weeks of gestation provide more granular information on pregnancies and pregnancy periods (i.e., start and end dates). The purpose of this study was to develop a process that uses Z3A codes to identify pregnancies, pregnancy periods, and links infants within a commercial health insurance claims database. METHODS: We identified pregnancies, gestation periods, pregnancy outcomes, and linked infants within the US‐based Optum Research Database between 2015 and 2020 via a series of algorithms utilizing diagnosis and procedure codes on claims. The diagnosis and procedure codes included ICD‐10‐CM codes, Current Procedural Terminology (CPT) codes, and Healthcare Common Procedure Coding System (HCPCS) codes. RESULTS: We identified 1 030 874 pregnancies among 841 196 women of reproductive age. Of pregnancies with livebirth outcomes, 84% were successfully linked to infants. The prevalence of pregnancy outcomes (livebirth, stillbirth, ectopic, molar, and abortion) was similar to national estimates. CONCLUSIONS: This process provides an opportunity to study drug safety and care patterns during pregnancy and may be replicated in other claims databases containing ICD‐10‐CM, CPT, and HCPCS codes. Work is underway to validate and refine the various algorithms. |
format | Online Article Text |
id | pubmed-9546262 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95462622022-10-14 Identification of pregnancies and infants within a US commercial healthcare administrative claims database Bertoia, Monica L. Phiri, Kelesitse Clifford, C. Robin Doherty, Michael Zhou, Li Wang, Laura T. Bertoia, Natalie A. Wang, Florence T. Seeger, John D. Pharmacoepidemiol Drug Saf Original Articles PURPOSE: Health care insurance claims databases are becoming a more common data source for studies of medication safety during pregnancy. While pregnancies have historically been identified in such databases by pregnancy outcomes, International Classification of Diseases, 10th revision Clinical Modification (ICD‐10‐CM) Z3A codes denoting weeks of gestation provide more granular information on pregnancies and pregnancy periods (i.e., start and end dates). The purpose of this study was to develop a process that uses Z3A codes to identify pregnancies, pregnancy periods, and links infants within a commercial health insurance claims database. METHODS: We identified pregnancies, gestation periods, pregnancy outcomes, and linked infants within the US‐based Optum Research Database between 2015 and 2020 via a series of algorithms utilizing diagnosis and procedure codes on claims. The diagnosis and procedure codes included ICD‐10‐CM codes, Current Procedural Terminology (CPT) codes, and Healthcare Common Procedure Coding System (HCPCS) codes. RESULTS: We identified 1 030 874 pregnancies among 841 196 women of reproductive age. Of pregnancies with livebirth outcomes, 84% were successfully linked to infants. The prevalence of pregnancy outcomes (livebirth, stillbirth, ectopic, molar, and abortion) was similar to national estimates. CONCLUSIONS: This process provides an opportunity to study drug safety and care patterns during pregnancy and may be replicated in other claims databases containing ICD‐10‐CM, CPT, and HCPCS codes. Work is underway to validate and refine the various algorithms. John Wiley & Sons, Inc. 2022-06-07 2022-08 /pmc/articles/PMC9546262/ /pubmed/35622900 http://dx.doi.org/10.1002/pds.5483 Text en © 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Bertoia, Monica L. Phiri, Kelesitse Clifford, C. Robin Doherty, Michael Zhou, Li Wang, Laura T. Bertoia, Natalie A. Wang, Florence T. Seeger, John D. Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title | Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title_full | Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title_fullStr | Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title_full_unstemmed | Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title_short | Identification of pregnancies and infants within a US commercial healthcare administrative claims database |
title_sort | identification of pregnancies and infants within a us commercial healthcare administrative claims database |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546262/ https://www.ncbi.nlm.nih.gov/pubmed/35622900 http://dx.doi.org/10.1002/pds.5483 |
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