Evidence map›Paper›PMID 35622900›Full record

ArticlePharmacoepidemiology and drug safety2022

Identification of pregnancies and infants within a US commercial healthcare administrative claims database.

Monica L Bertoia, Kelesitse Phiri, C Robin Clifford, Michael Doherty, Li Zhou, Laura T Wang, Natalie A Bertoia, Florence T Wang, John D Seeger

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
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  9. PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications.medRxiv : the preprint server for health sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Monica L BertoiaOptum Epidemiology, Boston, Massachusetts, USA.ORCID 0000-0001-8790-7243
Kelesitse PhiriOncology Epidemiology, GlaxoSmithKline, Collegeville, Pennsylvania, USA.
C Robin CliffordOptum Epidemiology, Boston, Massachusetts, USA.
Michael DohertyOptum Epidemiology, Boston, Massachusetts, USA.
Li ZhouOptum Epidemiology, Boston, Massachusetts, USA.
Laura T WangDepartment of Obstetrics and Gynecology, Prisma Health/University of South Carolina School of Medicine, Columbia, South Carolina, USA.
Natalie A BertoiaObstetrics and Gynecology, Unity Hospital, Rochester, New York, USA.
Florence T WangOptum Epidemiology, Boston, Massachusetts, USA.ORCID 0000-0001-8776-9434
John D SeegerOptum Epidemiology, Boston, Massachusetts, USA.ORCID 0000-0002-8020-3144

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth 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.

methodsWe 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.

resultsWe 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.

conclusionsThis 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.

Indexed as

Insurance Claim ReviewInternational Classification of DiseasesAdministrative Claims, HealthcareCurrent Procedural TerminologyDatabases, FactualFemaleHumansPregnancyadministrative dataclaimsinfantlast menstrual periodpregnancy

Identifiers

PMID35622900
PMCPMC9546262

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