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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.
Afiliação
  • Bertoia ML; Optum Epidemiology, Boston, Massachusetts, USA.
  • Phiri K; Oncology Epidemiology, GlaxoSmithKline, Collegeville, Pennsylvania, USA.
  • Clifford CR; Optum Epidemiology, Boston, Massachusetts, USA.
  • Doherty M; Optum Epidemiology, Boston, Massachusetts, USA.
  • Zhou L; Optum Epidemiology, Boston, Massachusetts, USA.
  • Wang LT; Department of Obstetrics and Gynecology, Prisma Health/University of South Carolina School of Medicine, Columbia, South Carolina, USA.
  • Bertoia NA; Obstetrics and Gynecology, Unity Hospital, Rochester, New York, USA.
  • Wang FT; Optum Epidemiology, Boston, Massachusetts, USA.
  • Seeger JD; Optum Epidemiology, Boston, Massachusetts, USA.
Pharmacoepidemiol Drug Saf ; 31(8): 863-874, 2022 08.
Article em En | MEDLINE | ID: mdl-35622900
ABSTRACT

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.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Revisão da Utilização de Seguros / Classificação Internacional de Doenças Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Pregnancy Idioma: En Revista: Pharmacoepidemiol Drug Saf Assunto da revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Revisão da Utilização de Seguros / Classificação Internacional de Doenças Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Pregnancy Idioma: En Revista: Pharmacoepidemiol Drug Saf Assunto da revista: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos