Literature DB >> 25627986

Beginning and duration of pregnancy in automated health care databases: review of estimation methods and validation results.

Andrea V Margulis1, Kristin Palmsten, Susan E Andrade, Rachel A Charlton, Janet R Hardy, William O Cooper, Sonia Hernández-Díaz.   

Abstract

PURPOSE: To describe methods reported in the literature to estimate the beginning or duration of pregnancy in automated health care data, and to present results of validation exercises where available.
METHODS: Papers reporting methods for determining the beginning or duration of pregnancy were identified based on Pubmed searches, by consulting investigators with expertise in the field and by reviewing conference abstracts and reference lists of relevant papers. From each paper or abstract, we extracted information to characterize the study population, data sources, and estimation algorithm. We then grouped these studies into categories reflecting their general methodological approach.
RESULTS: Methods were classified into 5 categories: (i) methods that assign a uniform duration for all pregnancies, (ii) methods that assign pregnancy duration based on preterm-delivery or health care related codes, or codes for other pregnancy outcomes, (iii) methods based on the timing of prenatal care, (iv) methods based on birth weight, and (v) methods that combine elements from 2 and 3. Validation studies evaluating these methods used varied approaches, with results generally reporting on the mistiming of the start of pregnancy, incorrect estimation of the duration of pregnancy, or misclassification of drug exposure during pregnancy or early pregnancy.
CONCLUSIONS: In the absence of accurate information on the beginning or duration of pregnancy, several methods of varying complexity are available to estimate them. Validation studies have been performed for many of them and can serve as a guide for method selection for a particular study.
Copyright © 2015 John Wiley & Sons, Ltd.

Keywords:  administrative data; beginning of pregnancy; claims data; duration of pregnancy; electronic medical records; last menstrual period; pharmacoepidemiology

Mesh:

Year:  2015        PMID: 25627986     DOI: 10.1002/pds.3743

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  15 in total

1.  Prenatal Tdap immunization and risk of maternal and newborn adverse events.

Authors:  J Bradley Layton; Anne M Butler; Dongmei Li; Kim A Boggess; David J Weber; Leah J McGrath; Sylvia Becker-Dreps
Journal:  Vaccine       Date:  2017-06-29       Impact factor: 3.641

2.  Using insurance claims data to identify and estimate critical periods in pregnancy: An application to antidepressants.

Authors:  Elizabeth C Ailes; Regina M Simeone; April L Dawson; Emily E Petersen; Suzanne M Gilboa
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2016-11

Review 3.  Zidovudine use in pregnancy and congenital malformations.

Authors:  Kathryn Rough; Jenny W Sun; George R Seage; Paige L Williams; Krista F Huybrechts; Brian T Bateman; Sonia Hernandez-Diaz
Journal:  AIDS       Date:  2017-07-31       Impact factor: 4.177

Review 4.  Use of real-world evidence from healthcare utilization data to evaluate drug safety during pregnancy.

Authors:  Krista F Huybrechts; Brian T Bateman; Sonia Hernández-Díaz
Journal:  Pharmacoepidemiol Drug Saf       Date:  2019-05-10       Impact factor: 2.890

5.  Selective serotonin reuptake inhibitor use patterns among commercially insured US pregnancies (2005-2014).

Authors:  Julie M Petersen; Daina B Esposito; Martha M Werler
Journal:  Arch Womens Ment Health       Date:  2020-03-28       Impact factor: 3.633

6.  The safety of asthma medications during pregnancy and lactation: Clinical management and research priorities.

Authors:  Christina D Chambers; Jerry A Krishnan; Lorene Alba; Jessica D Albano; Allison S Bryant; Melanie Carver; Lee S Cohen; Elena Gorodetsky; Sonia Hernandez-Diaz; Margaret A Honein; Bridgette L Jones; Richard K Murray; Jennifer A Namazy; Leyla Sahin; Catherine Y Spong; Kaveeta P Vasisht; Kevin Watt; Keele E Wurst; Lynne Yao; Michael Schatz
Journal:  J Allergy Clin Immunol       Date:  2021-03-10       Impact factor: 14.290

7.  Estimating the Beginning of Pregnancy in German Claims Data: Development of an Algorithm With a Focus on the Expected Delivery Date.

Authors:  Tania Schink; Nadine Wentzell; Katarina Dathe; Marlies Onken; Ulrike Haug
Journal:  Front Public Health       Date:  2020-08-12

Review 8.  Administrative Claims Data Versus Augmented Pregnancy Data for the Study of Pharmaceutical Treatments in Pregnancy.

Authors:  Susan E Andrade; Anick Bérard; Hedvig M E Nordeng; Mollie E Wood; Marleen M H J van Gelder; Sengwee Toh
Journal:  Curr Epidemiol Rep       Date:  2017-04-18

9.  Development of an algorithm to identify pregnancy episodes and related outcomes in health care claims databases: An application to antiepileptic drug use in 4.9 million pregnant women in France.

Authors:  Pierre-Olivier Blotière; Alain Weill; Marie Dalichampt; Cécile Billionnet; Myriam Mezzarobba; Fanny Raguideau; Rosemary Dray-Spira; Mahmoud Zureik; Joël Coste; François Alla
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-05-15       Impact factor: 2.890

10.  Methods for the assessment of selection bias in drug safety during pregnancy studies using electronic medical data.

Authors:  Mireille E Schnitzer; Lucie Blais
Journal:  Pharmacol Res Perspect       Date:  2018-09-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.