Identification of pregnancies and infants within a US commercial healthcare administrative claims database-Reference-Cited by-同舟云学术

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

Published:2022-06-07 Issue:8 Volume:31 Page:863-874
ISSN:1053-8569
Container-title:Pharmacoepidemiology and Drug Safety
language:en
Short-container-title:Pharmacoepidemiology and Drug

Author:

Bertoia Monica L.¹^ORCID,Phiri Kelesitse²,Clifford C. Robin¹,Doherty Michael¹,Zhou Li¹,Wang Laura T.³,Bertoia Natalie A.⁴,Wang Florence T.¹^ORCID,Seeger John D.¹^ORCID

Affiliation:

1. Optum Epidemiology Boston Massachusetts USA

2. Oncology Epidemiology GlaxoSmithKline Collegeville Pennsylvania USA

3. Department of Obstetrics and Gynecology Prisma Health/University of South Carolina School of Medicine Columbia South Carolina USA

4. Obstetrics and Gynecology Unity Hospital Rochester New York USA

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pds.5483

Reference20 articles.

1. Administrative Claims Data Versus Augmented Pregnancy Data for the Study of Pharmaceutical Treatments in Pregnancy

2. Development of an Algorithm to Identify Pregnancy Episodes in an Integrated Health Care Delivery System

3. Paroxetine in the first trimester and the prevalence of congenital malformations

4. Bupropion in pregnancy and the prevalence of congenital malformations

5. Pregnancy and infant outcomes including major congenital malformations among women with chronic inflammatory arthritis or psoriasis, with and without etanercept use

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2. Real-world data are not always big data: the case for primary data collection on medication use in pregnancy in the context of birth defects research;American Journal of Epidemiology;2024-05-16

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4. Defining, Measuring, and Evaluating Prenatal Care in Insurance Claims Data;Current Epidemiology Reports;2024-01-02

5. Development and evaluation of an algorithm to link mothers and infants in two US commercial healthcare claims databases for pharmacoepidemiology research;BMC Medical Research Methodology;2023-10-21